1.C. Training_testing_audio-based_self-repetition_detection_model.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1c96c537",
   "metadata": {},
   "source": [
    "# Train-test split and sampling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c6ffd8f3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "total= pd.read_excel('Train_test_data/Audio_features_selfrep.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "69edb6fe",
   "metadata": {},
   "outputs": [],
   "source": [
    "test_ids= # Masked for confidentiality \n",
    "\n",
    "train= total.loc[total['child_ID'].isin(test_ids)== False]\n",
    "test= total.loc[total['child_ID'].isin(test_ids)== True]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ad6e64fa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape of the train set before sampling: (99232, 12)\n",
      "Shape of the test set: (13972, 12)\n"
     ]
    }
   ],
   "source": [
    "print(f'Shape of the train set before sampling: {train.shape}')\n",
    "print(f'Shape of the test set: {test.shape}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "cb42110f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Class distribution in train set before sampling:\n",
      "non-repetitive    97600\n",
      "repetitive         1632\n",
      "Name: gs_label, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(f\"\"\"\n",
    "Class distribution in train set before sampling:\n",
    "{train['gs_label'].value_counts()}\"\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "bc8646fe",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Ratio of repetitive utterance pairs in train set before sampling:\n",
      "0.016446307642695904\n"
     ]
    }
   ],
   "source": [
    "ratio_train= train.loc[train['gs_label']=='repetitive'].shape[0]/ train.shape[0]\n",
    "\n",
    "print(f\"\"\"\n",
    "Ratio of repetitive utterance pairs in train set before sampling:\n",
    "{ratio_train}\"\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "51a00639",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Class distribution in test set:\n",
      "non-repetitive    13811\n",
      "repetitive          161\n",
      "Name: gs_label, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(f\"\"\"\n",
    "Class distribution in test set:\n",
    "{test['gs_label'].value_counts()}\"\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0cf27876",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Ratio of repetitive utterance pairs in test set:\n",
      "0.011523046092184368\n"
     ]
    }
   ],
   "source": [
    "ratio_test= test.loc[test['gs_label']=='repetitive'].shape[0] / test.shape[0]\n",
    "\n",
    "print(f\"\"\"\n",
    "Ratio of repetitive utterance pairs in test set:\n",
    "{ratio_test}\"\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ddb47d5d",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train_total= train.loc[:,'DTW_mfcc': 'DTW_combined']\n",
    "X_test= test.loc[:,'DTW_mfcc': 'DTW_combined']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "147327df",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_train= train['gs_label']\n",
    "y_test= test['gs_label']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "95055a8c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Class distribution in train set after random undersampling: \n",
      "non-repetitive    10880\n",
      "repetitive         1632\n",
      "Name: gs_label, dtype: int64\n",
      "\n",
      "Class distribution in train set after random undersampling + under-oversampling with SMOTE-ENN: \n",
      "non-repetitive    6623\n",
      "repetitive        5096\n",
      "Name: gs_label, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# Step 1: Random Undersampling of the 'non-repetitive' class in the train set\n",
    "# Step 2: Oversampling of 'repetitive' class in the train set, undersampling of 'non-repetitive' class by ENN\n",
    "from imblearn.combine import *\n",
    "from imblearn.under_sampling import *\n",
    "RU= RandomUnderSampler(sampling_strategy=0.15)\n",
    "X_train_total, y_train= RU.fit_resample(X_train_total, y_train)\n",
    "print(f\"\"\"\n",
    "Class distribution in train set after random undersampling: \n",
    "{y_train.value_counts()}\"\"\")\n",
    "\n",
    "SE= SMOTEENN(sampling_strategy= 0.6)\n",
    "X_train_total, y_train= SE.fit_resample(X_train_total, y_train)\n",
    "print(f\"\"\"\n",
    "Class distribution in train set after random undersampling + under-oversampling with SMOTE-ENN: \n",
    "{y_train.value_counts()}\"\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "42b2312a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Rows in the train set after sampling: 11719\n"
     ]
    }
   ],
   "source": [
    "print(f\"\"\"\n",
    "Rows in the train set after sampling: {X_train_total.shape[0]}\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "898e390b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Ratio of repetitive utterance pairs in sampled train set:\n",
      "0.4348493898796826\n"
     ]
    }
   ],
   "source": [
    "ratio_train_total=y_train.value_counts()[1]/y_train.shape[0]\n",
    "print(f\"\"\"\n",
    "Ratio of repetitive utterance pairs in sampled train set:\n",
    "{ratio_train_total}\"\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "a7162b01",
   "metadata": {},
   "outputs": [],
   "source": [
    "train= pd.concat([X_train_total, y_train], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "650a2017",
   "metadata": {},
   "outputs": [],
   "source": [
    "#train.to_excel('Train_test_data/Full_train_selfrep.xlsx')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dbf56012",
   "metadata": {},
   "source": [
    "# Training and evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "40acda16",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.metrics import accuracy_score,recall_score,precision_score,f1_score,confusion_matrix,mean_squared_error, r2_score\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn import linear_model, datasets\n",
    "from sklearn.model_selection import StratifiedKFold, GridSearchCV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "35d4aa37",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import StratifiedKFold, GridSearchCV\n",
    "from sklearn.metrics import f1_score, make_scorer\n",
    "from sklearn.feature_selection import SelectKBest\n",
    "\n",
    "def get_best_params(model_kind, n_splits=10, param_grid=None, features=None, positive_class='repetitive'):\n",
    "    \"\"\"Takes as input a classifier object, the parameter grid for a GridSearch, a nested list of feature sets and\n",
    "    the positive class of the classification task,\n",
    "    performs nested stratified cross validation (outer folds: 10, inner folds:2),\n",
    "    and returns a dictionary containing the best combination of parameters and feature sets (from F1-score),\n",
    "    the (two) most informative features and the maximum score obtained (= with the best parameters and feature sets,\n",
    "    and the averaged F1-score over the two inner folds of the best outer fold)    \n",
    "    \"\"\"\n",
    "    \n",
    "    \n",
    "    \n",
    "    skf = StratifiedKFold(n_splits=n_splits, shuffle=True)\n",
    "    best_params_list = []\n",
    "    all_avg_scores = []\n",
    "\n",
    "    for fold_idx, (train_index, test_index) in enumerate(skf.split(X_train_total, y_train)):  # outer CV loop\n",
    "        X_train, X_test = X_train_total.iloc[train_index], X_train_total.iloc[test_index]\n",
    "        y_train_fold, y_test_fold = y_train.iloc[train_index], y_train.iloc[test_index]\n",
    "\n",
    "        best_params_fold = {}\n",
    "\n",
    "        for feature_set_idx, feature_set in enumerate(features):  # loop through different feature sets\n",
    "            X_train_subset = X_train.loc[:, feature_set]\n",
    "            nested_skf = StratifiedKFold(n_splits=2, shuffle=True)\n",
    "\n",
    "            avg_score = 0  # initialize average f1-score for this feature set\n",
    "            best_score = -1  # initialize best score for comparison\n",
    "            best_params = None  # initialize best parameters for the model\n",
    "\n",
    "            for nested_train_index, nested_test_index in nested_skf.split(X_train_subset, y_train_fold):  # inner CV loop\n",
    "                X_train_nested, X_val = X_train_subset.iloc[nested_train_index], X_train_subset.iloc[nested_test_index]\n",
    "                y_train_nested, y_val = y_train_fold.iloc[nested_train_index], y_train_fold.iloc[nested_test_index]\n",
    "                \n",
    "                 # Perform feature selection\n",
    "                if len(feature_set)==1:\n",
    "                    k_features=1\n",
    "                else:\n",
    "                    k_features=2\n",
    "                selector = SelectKBest(k=k_features)  \n",
    "                selector.fit(X_train_nested, y_train_nested)\n",
    "\n",
    "                # Train model\n",
    "                f1_scorer = make_scorer(lambda y_true, y_pred: f1_score(y_true, y_pred, pos_label=positive_class))\n",
    "                model = GridSearchCV(model_kind, param_grid=param_grid, cv=2, scoring=f1_scorer)  # Adjust inner CV folds as needed\n",
    "                model.fit(X_train_nested, y_train_nested)\n",
    "\n",
    "                # Evaluate model\n",
    "                score= model.score(X_val, y_val)\n",
    "\n",
    "                # Update average score and parameters if needed\n",
    "                avg_score += score / 2  # divide by the number of inner folds (2 in this case)\n",
    "                if score > best_score:\n",
    "                    best_score = score\n",
    "                    best_k = selector.get_feature_names_out()\n",
    "                    best_params = model.best_params_\n",
    "\n",
    "            best_params_fold[feature_set_idx] = {'best_score': avg_score, 'best_params': best_params, 'best_k': best_k}\n",
    "            # best recall and parameters for each feature set of the outer fold\n",
    "\n",
    "        best_params_list.append(best_params_fold)\n",
    "        all_avg_scores.append(max([v['best_score'] for v in best_params_fold.values()]))\n",
    "        # all_avg_recalls contains the scores of the best feature set x params combo, averaged over the two folds of the inner cv\n",
    "        # this list has one value per outer fold\n",
    "        \n",
    "        #print('One outer fold completed')\n",
    "\n",
    "    # Select the best combination of features and parameters based on the highest average recall\n",
    "    best_idx = all_avg_scores.index(max(all_avg_scores)) # get outer fold with best result\n",
    "    best_features_idx = max(best_params_list[best_idx], key=lambda x: best_params_list[best_idx][x]['best_score'])\n",
    "                                        # inside the fold with best result, get the index of the best feature set\n",
    "    best_features = features[best_features_idx]\n",
    "    best_params = best_params_list[best_idx][best_features_idx]['best_params']\n",
    "    best_k = best_params_list[best_idx][best_features_idx]['best_k']\n",
    "    \n",
    "\n",
    "    return best_features, best_params, best_k, max(all_avg_scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a54b33c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get best feature sets and parameters for all models\n",
    "\n",
    "model_config= {}\n",
    "\n",
    "# feature sets:\n",
    "features= [['DTW_mfcc'], ['DTW_melspectrogram'],['DTW_lpc'],\n",
    "           ['DTW_mfcc','DTW_melspectrogram'], ['DTW_mfcc','DTW_lpc'], ['DTW_lpc','DTW_melspectrogram'],\n",
    "           ['DTW_mfcc', 'DTW_melspectrogram', 'DTW_lpc', 'DTW_combined'],\n",
    "           ['DTW_mfcc_melspectrogram'], ['DTW_mfcc_lpc'], ['DTW_melspectrogram_lpc'], ['DTW_combined'],\n",
    "           ['DTW_mfcc','DTW_melspectrogram', 'DTW_mfcc_melspectrogram'], ['DTW_mfcc','DTW_lpc', 'DTW_mfcc_lpc'],\n",
    "           ['DTW_lpc','DTW_melspectrogram', 'DTW_melspectrogram_lpc'],\n",
    "           ['DTW_mfcc', 'DTW_melspectrogram', 'DTW_lpc', 'DTW_combined', 'DTW_mfcc_melspectrogram', 'DTW_mfcc_lpc', 'DTW_melspectrogram_lpc']\n",
    "          ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "dabaff10",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'model_obj': <class 'sklearn.tree._classes.DecisionTreeClassifier'>, 'best_feature_set': ['DTW_mfcc', 'DTW_melspectrogram', 'DTW_lpc', 'DTW_combined', 'DTW_mfcc_melspectrogram', 'DTW_mfcc_lpc', 'DTW_melspectrogram_lpc'], 'best_k_features': array(['DTW_mfcc', 'DTW_mfcc_lpc'], dtype=object), 'best_params': {'class_weight': 'balanced', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2}, 'best_avg_val_f1': 0.807126606022802}\n"
     ]
    }
   ],
   "source": [
    "from sklearn.tree import DecisionTreeClassifier\n",
    "DTC= DecisionTreeClassifier()\n",
    "param_grid= {\n",
    "    'max_depth': [None, 5, 10],  # Maximum depth of the tree\n",
    "    'min_samples_split': [2, 5],  # Minimum number of samples required to split an internal node\n",
    "    'min_samples_leaf': [1, 2],  # Minimum number of samples required to be at a leaf node\n",
    "    'class_weight': ['balanced'] # This should improve the performance for imbalanced data sets\n",
    "}\n",
    "\n",
    "best_features, best_params, best_k, best_avg_score = get_best_params(DTC, param_grid= param_grid, features= features)\n",
    "model_config['DTC']=  {'model_obj': DecisionTreeClassifier, 'best_feature_set': best_features, 'best_k_features': best_k, 'best_params': best_params, 'best_avg_val_f1': best_avg_score}\n",
    "print(model_config['DTC'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "c3e2daa2",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "KNN= KNeighborsClassifier()\n",
    "param_grid= {\n",
    "    'n_neighbors': [3, 5],  # Number of neighbors to use for classification\n",
    "    'weights': ['uniform', 'distance'],  # Weight function used in prediction\n",
    "    'algorithm': ['auto', 'ball_tree', 'kd_tree', 'brute']  # Algorithm used to compute the nearest neighbors\n",
    "}\n",
    "\n",
    "best_features, best_params, best_k, best_avg_score = get_best_params(KNN, param_grid= param_grid, features= features)\n",
    "model_config['KNN']=  {'model_obj': KNeighborsClassifier, 'best_feature_set': best_features, 'best_k_features': best_k, 'best_params': best_params, 'best_avg_val_f1': best_avg_score}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "95fb1f47",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'model_obj': <class 'sklearn.neighbors._classification.KNeighborsClassifier'>, 'best_feature_set': ['DTW_mfcc', 'DTW_melspectrogram', 'DTW_lpc', 'DTW_combined', 'DTW_mfcc_melspectrogram', 'DTW_mfcc_lpc', 'DTW_melspectrogram_lpc'], 'best_k_features': array(['DTW_mfcc', 'DTW_mfcc_lpc'], dtype=object), 'best_params': {'algorithm': 'auto', 'n_neighbors': 3, 'weights': 'distance'}, 'best_avg_val_f1': 0.9159182898471134}\n"
     ]
    }
   ],
   "source": [
    "print(model_config['KNN'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "a986e268",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "RFC= RandomForestClassifier()\n",
    "param_grid= {\n",
    "    'n_estimators': [50, 100],  # Number of trees in the forest\n",
    "    'max_depth': [None, 5, 10],  # Maximum depth of the trees\n",
    "    'min_samples_split': [2, 5],  # Minimum number of samples required to split an internal node\n",
    "    'min_samples_leaf': [1, 2],  # Minimum number of samples required to be at a leaf node\n",
    "    'class_weight': ['balanced']\n",
    "}\n",
    "\n",
    "best_features, best_params, best_k, best_avg_score = get_best_params(RFC, param_grid= param_grid, features= features)\n",
    "model_config['RFC']=  {'model_obj': RandomForestClassifier, 'best_feature_set': best_features, 'best_k_features': best_k, 'best_params': best_params, 'best_avg_val_f1': best_avg_score}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "1aa4dbb0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'model_obj': <class 'sklearn.ensemble._forest.RandomForestClassifier'>, 'best_feature_set': ['DTW_mfcc', 'DTW_melspectrogram', 'DTW_lpc', 'DTW_combined', 'DTW_mfcc_melspectrogram', 'DTW_mfcc_lpc', 'DTW_melspectrogram_lpc'], 'best_k_features': array(['DTW_mfcc', 'DTW_mfcc_lpc'], dtype=object), 'best_params': {'class_weight': 'balanced', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}, 'best_avg_val_f1': 0.8808981932087394}\n"
     ]
    }
   ],
   "source": [
    "print(model_config['RFC'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "b0b7c1d9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'model_obj': <class 'sklearn.svm._classes.SVC'>, 'best_feature_set': ['DTW_mfcc', 'DTW_melspectrogram', 'DTW_lpc', 'DTW_combined', 'DTW_mfcc_melspectrogram', 'DTW_mfcc_lpc', 'DTW_melspectrogram_lpc'], 'best_k_features': array(['DTW_mfcc', 'DTW_mfcc_lpc'], dtype=object), 'best_params': {'C': 1, 'class_weight': 'balanced', 'gamma': 100, 'probability': True}, 'best_avg_val_f1': 0.8337822324140636}\n"
     ]
    }
   ],
   "source": [
    "from sklearn.svm import SVC\n",
    "SVC_model= SVC()\n",
    "param_grid= {\n",
    "    'C': [0.01, 0.1, 1],  # Regularization parameter\n",
    "    'gamma': [0.01, 0.1, 1, 10, 100],\n",
    "    'probability': [True],\n",
    "    'class_weight': ['balanced']\n",
    "}\n",
    "\n",
    "best_features, best_params, best_k, best_avg_score = get_best_params(SVC_model, param_grid= param_grid, features= features)\n",
    "model_config['SVC']=  {'model_obj': SVC, 'best_feature_set': best_features, 'best_k_features': best_k, 'best_params': best_params, 'best_avg_val_f1': best_avg_score}\n",
    "print(model_config['SVC'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "59871990",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n",
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'model_obj': <class 'sklearn.linear_model._logistic.LogisticRegression'>, 'best_feature_set': ['DTW_mfcc', 'DTW_melspectrogram', 'DTW_lpc', 'DTW_combined', 'DTW_mfcc_melspectrogram', 'DTW_mfcc_lpc', 'DTW_melspectrogram_lpc'], 'best_k_features': array(['DTW_mfcc', 'DTW_mfcc_lpc'], dtype=object), 'best_params': {'C': 0.01, 'class_weight': 'balanced', 'penalty': None}, 'best_avg_val_f1': 0.6701716308500228}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Marie Kolenberg\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "LREG= LogisticRegression()\n",
    "param_grid= {\n",
    "    'C': [0.01, 0.1, 1],  # Regularization parameter\n",
    "    'penalty': [None, 'l2'],  # Penalty term\n",
    "    'class_weight': ['balanced']\n",
    "}\n",
    "\n",
    "best_features, best_params, best_k, best_avg_score= get_best_params(LREG, param_grid= param_grid, features= features)\n",
    "model_config['LREG']=  {'model_obj': LogisticRegression, 'best_feature_set': best_features, 'best_k_features': best_k, 'best_params': best_params, 'best_avg_val_f1': best_avg_score}\n",
    "print(model_config['LREG'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e0cb52fd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "One outer fold completed\n",
      "One outer fold completed\n",
      "One outer fold completed\n",
      "One outer fold completed\n",
      "One outer fold completed\n",
      "One outer fold completed\n",
      "One outer fold completed\n",
      "One outer fold completed\n",
      "One outer fold completed\n",
      "One outer fold completed\n",
      "{'model_obj': <class 'sklearn.neural_network._multilayer_perceptron.MLPClassifier'>, 'best_feature_set': ['DTW_mfcc', 'DTW_melspectrogram', 'DTW_lpc', 'DTW_combined'], 'best_k_features': array(['DTW_mfcc', 'DTW_lpc'], dtype=object), 'best_params': {'activation': 'relu', 'alpha': 0.0001, 'hidden_layer_sizes': (50, 30), 'learning_rate': 'constant', 'max_iter': 600, 'solver': 'adam'}, 'best_avg_val_f1': 0.6774561924072333}\n"
     ]
    }
   ],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "from sklearn.neural_network import MLPClassifier\n",
    "MLP= MLPClassifier()\n",
    "param_grid = {\n",
    "    'hidden_layer_sizes': [(50, 30)],\n",
    "    'activation': ['logistic', 'relu'],\n",
    "    'solver': ['adam', 'lbfgs'],\n",
    "    'alpha': [0.0001, 0.001, 0.01],\n",
    "    'learning_rate': ['constant'],\n",
    "    'max_iter': [600]\n",
    "}\n",
    "\n",
    "best_features, best_params, best_k, best_avg_score= get_best_params(MLP, param_grid= param_grid, features= features)\n",
    "model_config['MLP']=  {'model_obj': MLPClassifier, 'best_feature_set': best_features, 'best_k_features': best_k, 'best_params': best_params, 'best_avg_val_f1': best_avg_score}\n",
    "print(model_config['MLP'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "230c65c3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'model_obj': <class 'sklearn.tree._classes.DecisionTreeClassifier'>, 'best_feature_set': ['DTW_mfcc', 'DTW_melspectrogram', 'DTW_lpc', 'DTW_combined', 'DTW_mfcc_melspectrogram', 'DTW_mfcc_lpc', 'DTW_melspectrogram_lpc'], 'best_k_features': array(['DTW_mfcc', 'DTW_mfcc_lpc'], dtype=object), 'best_params': {'class_weight': 'balanced', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2}, 'best_avg_val_f1': 0.807126606022802, 'test_accuracy': 0.7618809046664758, 'test_recall': 0.4472049689440994, 'test_precision': 0.02175226586102719, 'test_f1': 0.04148660328435609} \n",
      "\n",
      "{'model_obj': <class 'sklearn.neighbors._classification.KNeighborsClassifier'>, 'best_feature_set': ['DTW_mfcc', 'DTW_melspectrogram', 'DTW_lpc', 'DTW_combined', 'DTW_mfcc_melspectrogram', 'DTW_mfcc_lpc', 'DTW_melspectrogram_lpc'], 'best_k_features': array(['DTW_mfcc', 'DTW_mfcc_lpc'], dtype=object), 'best_params': {'algorithm': 'auto', 'n_neighbors': 3, 'weights': 'distance'}, 'best_avg_val_f1': 0.9159182898471134, 'test_accuracy': 0.7075579730890352, 'test_recall': 0.484472049689441, 'test_precision': 0.019112962509188924, 'test_f1': 0.036775106082036775} \n",
      "\n",
      "{'model_obj': <class 'sklearn.ensemble._forest.RandomForestClassifier'>, 'best_feature_set': ['DTW_mfcc', 'DTW_melspectrogram', 'DTW_lpc', 'DTW_combined', 'DTW_mfcc_melspectrogram', 'DTW_mfcc_lpc', 'DTW_melspectrogram_lpc'], 'best_k_features': array(['DTW_mfcc', 'DTW_mfcc_lpc'], dtype=object), 'best_params': {'class_weight': 'balanced', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}, 'best_avg_val_f1': 0.8808981932087394, 'test_accuracy': 0.853635843114801, 'test_recall': 0.38509316770186336, 'test_precision': 0.030876494023904383, 'test_f1': 0.05716920239741816} \n",
      "\n",
      "{'model_obj': <class 'sklearn.linear_model._logistic.LogisticRegression'>, 'best_feature_set': ['DTW_mfcc', 'DTW_melspectrogram', 'DTW_lpc', 'DTW_combined', 'DTW_mfcc_melspectrogram', 'DTW_mfcc_lpc', 'DTW_melspectrogram_lpc'], 'best_k_features': array(['DTW_mfcc', 'DTW_mfcc_lpc'], dtype=object), 'best_params': {'C': 0.01, 'class_weight': 'balanced', 'penalty': None}, 'best_avg_val_f1': 0.6701716308500228, 'test_accuracy': 0.67892928714572, 'test_recall': 0.6583850931677019, 'test_precision': 0.023363456028212475, 'test_f1': 0.04512558535547041} \n",
      "\n",
      "{'model_obj': <class 'sklearn.svm._classes.SVC'>, 'best_feature_set': ['DTW_mfcc', 'DTW_melspectrogram', 'DTW_lpc', 'DTW_combined', 'DTW_mfcc_melspectrogram', 'DTW_mfcc_lpc', 'DTW_melspectrogram_lpc'], 'best_k_features': array(['DTW_mfcc', 'DTW_mfcc_lpc'], dtype=object), 'best_params': {'C': 1, 'class_weight': 'balanced', 'gamma': 100, 'probability': True}, 'best_avg_val_f1': 0.8337822324140636, 'test_accuracy': 0.7474234182651016, 'test_recall': 0.4472049689440994, 'test_precision': 0.02050113895216401, 'test_f1': 0.039205009528995374} \n",
      "\n",
      "{'model_obj': <class 'sklearn.neural_network._multilayer_perceptron.MLPClassifier'>, 'best_feature_set': ['DTW_mfcc', 'DTW_melspectrogram', 'DTW_lpc', 'DTW_combined'], 'best_k_features': array(['DTW_mfcc', 'DTW_lpc'], dtype=object), 'best_params': {'activation': 'relu', 'alpha': 0.0001, 'hidden_layer_sizes': (50, 30), 'learning_rate': 'constant', 'max_iter': 600, 'solver': 'adam'}, 'best_avg_val_f1': 0.6774561924072333, 'test_accuracy': 0.8547809905525336, 'test_recall': 0.5279503105590062, 'test_precision': 0.04170755642787046, 'test_f1': 0.07730786721236926} \n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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/+59RsGBB5/u747VYvnz5NO/52X1/ExG5moZFiIhLtWzZksjISEqXLs3//vc/wsLC+PjjjylZsmSq7a7+S/4HH3xAwYIFufPOOzl16pTzUbt2bcLCwpzlqKtXr+bcuXM8//zzacaeXqtRWEREBBcuXMhSmeeWLVs4ceIEffr0SXWutm3bUrlyZb744os0+zz11FOpvm/cuDH79u3L9DlHjhxJZGQk0dHRNG7cmJ07dzJ58uRUf/X/4IMPaNy4MYUKFUp1r1q2bElKSgo//PADAB9++KGzwdzVrrxXwcHBzuW4uDhOnTpF06ZN2bdvH3FxcZmOPSNnz56lQIECOT5ORnr16pVmPHeHDh04ceJEqiEuy5cvx26306FDBwBOnz7Nd999xyOPPMK5c+ec9/Hff/+ldevW7Nmzxzn8JSIigj/++IM9e/bkON6UlBS+/vpr2rVrR/ny5Z3rixcvzmOPPcb69es5e/bsda8xPV9++SXFixdP9XoJCQlx/iXZlTL7OnR48MEHnWX2kLX77/DEE0+keu02btyYlJQUDh48mK1ryMz7QlavM6ey+97oUKJEiVQVH+Hh4XTu3Jnt27dz/PhxS67pat988w2JiYkMGDAg1Xj/Xr16ER4enua9NSwsLFUvmoCAAOrWrXvd99ZPPvkEu93OiBEj0vQVuNa/F76+vs5+IHa7ndOnT5OcnMxtt93Gtm3bnNtl5vXjyveOqxmGwYcffsi9996LYRipfpatW7cmLi4uVbxgzl5z5Xu+u2MUkfxFwyJExKVmzpxJpUqV8PPzo1ixYtx0001p/lPn5+eXZtz4nj17iIuLIyoqKt3jOhqjOYZZOMraM6tPnz68//77tGnThpIlS9KqVSseeeSRa06p5/jActNNN6V5rnLlymk66jt6GlypUKFCqcZFnzx5MlUPhrCwMGepPJgfnh5++GHi4+P57rvvmD59epqeDXv27OHXX39Ncy6HK+9ViRIlKFy4cIbXCLBhwwZGjhzJpk2buHjxYqrn4uLiKFiw4DX3v57w8HDOnTuXo2NcS7ly5dKsu+uuuyhYsCDLli2jRYsWgDkkombNmlSqVAmAv//+G8MwGD58OMOHD0/32CdOnKBkyZKMGTOG+++/n0qVKlGtWjXuuusuOnXqlGGJ+LWcPHmSixcvpvu6uvnmm7Hb7Rw+fJiqVate8xrTc/DgQSpWrJjmg1N658qpzL4OHa6+hqzcf4cbbrgh1fOO4ULp9WXJjMy8L2T1Oq8lMTGR06dPp1oXGRnpTBzl5L3RIb2fv+M1f+DAAaKjo116TdmR0XtrQEAA5cuXT5MsKlWqVJprKlSoEL/++us1z7N37158fHzSbVJ6PYsWLWLy5Mn89ddfJCUlOddf+TrOzOvHle8dVzt58iSxsbHMnTuXuXPnprvN9X4P3R2jiOQvSi6IiEvVrVvXOZY/I4GBgWkSDna7naioKN59991098noP8GZFRUVxY4dO1i1ahUrV65k5cqVLFiwgM6dO7No0aIcHdshM39ZrlOnTqr/OF89xduNN95Iy5YtAbjnnnvw9fXl+eefp3nz5s77arfbufPOOxk6dGi653B8kMiMvXv30qJFCypXrszrr79O6dKlCQgI4Msvv2TKlCnXbFiXWZUrV2bHjh3OaT6zK6PGmFf/FQ7M11i7du34+OOPmTVrFjExMWzYsIGxY8c6t3Fc25AhQ2jdunW6x65YsSIATZo0Ye/evXz66ad8/fXXvPXWW0yZMoU5c+bkyhSD6V2j1bL6Orz6GrJy/x0y+h0zsjmrdmbeF1z5+7Zx40aaN2+eat3+/fudjTVz673RldeUG1z9c7+ed955h65du9KuXTueffZZoqKi8PX1Zdy4cama62bm9ePO9w7H71DHjh3p0qVLuttcnSBI773E6vc3EfEeSi6ISJ5QoUIFvvnmGxo1anTND1KOBmG///57mg8e1xMQEMC9997Lvffei91up0+fPrz55psMHz483WM5Ov3v2rXLOeuFw65du5zPZ8W7777LpUuXnN9fWRafnhdffJF58+bx0ksv8dVXXwHmPTh//rwzCZGRChUqsGrVKk6fPp1h9cJnn31GQkICK1asSPVX4fS6omfXvffey6ZNm/jwww8znI70SoUKFUrTMT4xMZFjx45l6bwdOnRg0aJFfPvtt+zcuRPDMJxDIuDyvff397/uvQQoXLgw3bp1o1u3bpw/f54mTZowatSoLP/nOzIykpCQEHbt2pXmub/++gsfHx9Kly6dpWM6lClTht9//x3DMFL9pTe9c+VUZl+HGcnq/c+sa5W7p+d67ws5vc4r1ahRI00JfXR09DX3yex7o4OjIuTK+7B7924AZxIjs9eU1XuZ2e2vfG+98j0wMTGR/fv3u+z1UKFCBex2O3/++aezCWNmLF++nPLly/PRRx+luqb0hphl5t8VV713XC0yMpICBQqQkpKS43vmrhhFJH9RzwURyRMeeeQRUlJSePnll9M8l5yc7Pyw2apVKwoUKMC4ceOIj49Ptd21/or177//pvrex8fH+Red9KbpA7jtttuIiopizpw5qbZZuXIlO3fupG3btpm6tis1atSIli1bOh/XSy5ERETw5JNPsmrVKnbs2AGY92rTpk2sWrUqzfaxsbEkJycD5hh3wzAYPXp0mu0c98rxF8Er711cXBwLFizI8rVl5KmnnqJ48eIMHjzY+SHnSidOnOCVV15xfl+hQoU0Y77nzp2b5Sk9W7ZsSeHChVm2bBnLli2jbt26qUqCo6KiaNasGW+++Wa6iYsrpzi8+vUTFhZGxYoVM3ztXIuvry+tWrXi008/TTU1X0xMDO+99x6333474eHhWT4uwN13383Ro0dZvny5c93FixczLJnOicy+DjOSlfufFaGhoWmSUxnJzPtCTq/zSoUKFUr1+9+yZcs0vWOultn3RoejR4/y8ccfO78/e/YsixcvpmbNms5ERmavyTFbRWbvZ2bvfcuWLQkICGD69Omp3nvefvtt4uLisvXemp527drh4+PDmDFj0lRhXevfi/TeF3/66Sc2bdqUarvMvH5c+d6RXpwPPvggH374YarpdR0y+zvkzhhFJH9R5YKI5AlNmzblySefZNy4cezYsYNWrVrh7+/Pnj17+OCDD5g2bRoPPfQQ4eHhTJkyhZ49e1KnTh0ee+wxChUqxC+//MLFixczHOLQs2dPTp8+zR133EGpUqU4ePAgb7zxBjVr1sxwii9/f38mTJhAt27daNq0KY8++qhzKsqyZcsycOBAd94Sp/79+zN16lTGjx/P0qVLefbZZ1mxYgX33HMPXbt2pXbt2ly4cIHffvuN5cuXc+DAAYoWLUrz5s3p1KkT06dPZ8+ePdx1113Y7XbWrVtH8+bN6devH61atXL+5e3JJ5/k/PnzzJs3j6ioqCxXCmSkUKFCfPzxx9x9993UrFmTjh07Urt2bQC2bdvG//3f/9GgQQPn9j179uSpp57iwQcf5M477+SXX35h1apVFC1aNEvn9ff354EHHmDp0qVcuHCBSZMmpdlm5syZ3H777VSvXp1evXpRvnx5YmJi2LRpE//88w+//PILAFWqVKFZs2bUrl2bwoULs2XLFpYvX06/fv2ydU9eeeUVVq9eze23306fPn3w8/PjzTffJCEhgYkTJ2brmGA2xJsxYwadO3dm69atFC9enCVLljg/JLpSZl+H15LZ+58VtWvXZvbs2bzyyitUrFiRqKioNJVHDpl5X3DFdeZEZt8bHSpVqkSPHj3YvHkzxYoVY/78+cTExKRKGGb2moKDg6lSpQrLli2jUqVKFC5cmGrVqmXY86Z27dp88803vP7665QoUYJy5cqlmVYVzL+4Dxs2jNGjR3PXXXdx3333sWvXLmbNmkWdOnVSNW/MiYoVK/Liiy/y8ssv07hxYx544AECAwPZvHkzJUqUcE7zeLV77rmHjz76iPbt29O2bVv279/PnDlzqFKlCufPn3dul5nXj6vfO642fvx4vv/+e+rVq0evXr2oUqUKp0+fZtu2bXzzzTdpenykx90xikg+kvsTVIiIN3JMNbZ58+ZrbtelSxcjNDQ0w+fnzp1r1K5d2wgODjYKFChgVK9e3Rg6dKhx9OjRVNutWLHCaNiwoREcHGyEh4cbdevWNf7v//4v1XmunGZv+fLlRqtWrYyoqCgjICDAuOGGG4wnn3zSOHbsmHObq6eidFi2bJlRq1YtIzAw0ChcuLDx+OOPO6fWvN51pTfFWHoymrLQoWvXroavr6/x999/G4ZhGOfOnTOGDRtmVKxY0QgICDCKFi1qNGzY0Jg0aZKRmJjo3C85Odl47bXXjMqVKxsBAQFGZGSk0aZNG2Pr1q2p7uUtt9xiBAUFGWXLljUmTJhgzJ8/P9XUcYaR/akoHY4ePWoMHDjQqFSpkhEUFGSEhIQYtWvXNl599VUjLi7OuV1KSorx3HPPGUWLFjVCQkKM1q1bG3///XeGU1Fe6zW3evVqAzBsNptx+PDhdLfZu3ev0blzZyM6Otrw9/c3SpYsadxzzz3G8uXLndu88sorRt26dY2IiAgjODjYqFy5svHqq6+mutfpudbPddu2bUbr1q2NsLAwIyQkxGjevLmxcePGVNtk9vfqSgcPHjTuu+8+IyQkxChatKjRv39/57SFrpyK0jAy9zq83ms7M/c/o/uQ3u/s8ePHjbZt2xoFChQwgGtOS5mZ94XMXqfjPuVkKsqcvjc6fn6rVq0ybrnlFiMwMNCoXLlyuufP7DVt3LjRqF27thEQEJDq+tJ7b/vrr7+MJk2aGMHBwQbg/H29eipKhxkzZhiVK1c2/P39jWLFihm9e/c2zpw5k2qbjKZkTO/1m5H58+c738MLFSpkNG3a1Fi9enWqc1z5OrHb7cbYsWONMmXKGIGBgUatWrWMzz//PFv/rmTmvSMnU1EahmHExMQYffv2NUqXLm34+/sb0dHRRosWLYy5c+c6t7nWazG7728iIlezGYabuuGIiIiISK4pW7Ys1apV4/PPP7c6FBERyYfUc0FEREREREREckTJBRERERERERHJESUXRERERERERCRH1HNBRERERERERHJElQsiIiIiIiIikiNKLoiIiIiIiIhIjvhZHUBus9vtHD16lAIFCmCz2awOR0RERERERFzEMAxSUlKw2+1Wh5KKYRhcuHCBqKgofHw852/8vr6++Pn5Zeqzc75LLhw9epTSpUtbHYaIiIiIiIi4UGRkJL179+a2227L9Afi3Hbu3Dn8/DzrY3hISAjFixcnICDgmtvlu4aOcXFxREREcPjwYcLDw60OR0RERERERHLIMAyOHDmCn58fkZGR+Pv756nkQkpKCrt376Zy5coek1wwDIPExEROnjxJSkoKN9544zWrLjzjqlzI8QILDw9XckFERERERMQLxMfHY7PZKFWqFCEhIVaHk0ZKSgoAwcHB+Pr6WhxN5gUHB+Pv78/BgwdJTEwkKCgow209Z7CHiIiIiIiIyDV4Uj8DT5HZe6o7LyIiIiIiIiI5ouSCiIiIiIiIiOSIkgsiIiIiIiIikiNKLoiIiIiIiIhYpGvXrthsNmw2G/7+/hQrVow777yT+fPnY7fbWbNmjfP5jB5r1qwB4MMPP6RZs2YULFiQsLAwbrnlFsaMGcPp06fdfh1KLoiIiIiIiIhY6K677uLYsWMcOHCAlStX0rx5c/r3788999xDw4YNOXbsmPPxyCOPOLd3PBo2bMiLL75Ihw4dqFOnDitXruT3339n8uTJ/PLLLyxZssTt15DvpqIUERERERER72YYcPGiNecOCQGbLWv7BAYGEh0dDUDJkiW59dZbqV+/Pi1atGDx4sX07NnTuW1wcDAJCQnO7QF+/vlnxo4dy9SpU+nfv79zfdmyZbnzzjuJjY3N0TVlhpILIiIiIiIi4lUuXoSwMGvOff48hIbm/Dh33HEHNWrU4KOPPkqVXEjPu+++S1hYGH369En3+YiIiJwHdB0aFiEiIiIiIiKSB1WuXJkDBw5cd7s9e/ZQvnx5/P393R9UBlS5ICIiIiIiIl4lJMSsILDq3K5iGAa2TIyxMAzDdSfNJiUXRERERERExKvYbK4ZmmC1nTt3Uq5cuetuV6lSJdavX09SUpJl1QsaFiEiIiIiIiKSx3z33Xf89ttvPPjgg9fd9rHHHuP8+fPMmjUr3efV0FFERERERETEyyUkJHD8+HFSUlKIiYnhq6++Yty4cdxzzz107tz5uvvXq1ePoUOHMnjwYI4cOUL79u0pUaIEf//9N3PmzOH2229PNYuEOyi5ICIiIiIiImKhr776iuLFi+Pn50ehQoWoUaMG06dPp0uXLvj4ZG7AwYQJE6hduzYzZ85kzpw52O12KlSowEMPPUSXLl3cfAVgM/JC54dcdPbsWQoWLEhcXBzh4eFWhyMiIiIiIiI5FB8fz/79+ylXrhxBQUFWh5NGSkoK27dvp1atWvj6+lodTpZk9t6q54KIiIiIiIiI5IiSCyIiIiIiIiKSI0ouiIiIiIiIiEiOKLkgIiIiIiIiIjmi5IKIiIiIiIiI5IiSCyIiIiIiIiKSI5YmF3744QfuvfdeSpQogc1m45NPPrnuPmvWrOHWW28lMDCQihUrsnDhQrfHKSIiIiIiIiIZszS5cOHCBWrUqMHMmTMztf3+/ftp27YtzZs3Z8eOHQwYMICePXuyatUqN0cqIiIiIiIiIhnxs/Lkbdq0oU2bNpnefs6cOZQrV47JkycDcPPNN7N+/XqmTJlC69at3RWmJX785EN+2vAVFatGUbdt7etuHxpanZCQG3MhMhEREREREZHULE0uZNWmTZto2bJlqnWtW7dmwIABGe6TkJBAQkKC8/uzZ8+6KzyX2r1tETXafgbAH39cf3tf3zAaNozB1zfEzZGJiIiIiIiIpOZRDR2PHz9OsWLFUq0rVqwYZ8+e5dKlS+nuM27cOAoWLOh8lC5dOjdCzbnEUvBbNc7vv5EL8bcRHt4owwdASsp5kpM9I3EiIiIiIiIipq5du9KuXbtU65YvX05QUBCTJ0+ma9eu2Gw2xo8fn2qbTz75BJvN5vx+zZo12Gw2qlatSkpKSqptIyIi3N6v0KOSC9kxbNgw4uLinI/Dhw9bHVKm2I+0h2feYP+MF3jgrVpERa3n1lvTf+SDH6OIiIiIiEi+8NZbb/H4448ze/ZsBg8eDEBQUBATJkzgzJkz191/3759LF682N1hpuFRwyKio6OJiYlJtS4mJobw8HCCg4PT3ScwMJDAwMDcCM+1AgMBO352SKyygP899QI/rCiLj/IIIiIiIiIi12QYBheTLlpy7hD/kFQVBVkxceJERo4cydKlS2nfvr1zfcuWLfn7778ZN24cEydOvOYxnn76aUaOHMljjz2Wq5+FPSq50KBBA7788stU61avXk2DBg0sisiNAgKBS/jZwceWzAbbOGbNepN+/awOTEREREREJG+7mHSRsHFhlpz7/LDzhAaEZnm/5557jlmzZvH555/TokWLVM/5+voyduxYHnvsMZ555hlKlSqV4XEGDBjAO++8wxtvvMGQIUOyHEd2Wfp38PPnz7Njxw527NgBmFNN7tixg0OHDgHmkIbOnTs7t3/qqafYt28fQ4cO5a+//mLWrFm8//77DBw40Irw3SswAACbAZEXgFrzGfLKQXbtsjYsERERERERca2VK1cyceJEPv300zSJBYf27dtTs2ZNRo4cec1jhYSEMHLkSMaNG0dcXJw7wk2XpZULW7ZsoXnz5s7vBw0aBECXLl1YuHAhx44dcyYaAMqVK8cXX3zBwIEDmTZtGqVKleKtt97yumkoAbiijKZdgdt4ky0k1BlHp05z2LAB/P0tjE1ERERERCQPC/EP4fyw85adO6tuueUWTp06xciRI6lbty5hYelXXUyYMIE77rjjuhUJPXr0YPLkyUyYMIGxY8dmOZ7ssDS50KxZMwzDyPD59LpZNmvWjO3bt7sxqrynX8kHePPIFqg1n83ThzFuXBlGjLA6KhERERERkbzJZrNla2iCVUqWLMny5ctp3rw5d911FytXrqRAgQJptmvSpAmtW7dm2LBhdO3aNcPj+fn58eqrr9K1a1f65dLYerUH9ADVkiK4o9wd4JsEjccxZgxs2WJ1VCIiIiIiIuIqZcqUYe3atRw/fpy77rqLc+fOpbvd+PHj+eyzz9i0adM1j/fwww9TtWpVRo8e7Y5w01BywRMcPcrIpua4Gp/a80kJO0SnTnDpksVxiYiIiIiIiMuULl2aNWvWcOLECVq3bs3Zs2fTbFO9enUef/xxpk+fft3jjR8/nvnz53PhwgV3hJuKkgue4MgRmpRpQvOyzbHbkghpNY6//oJhw6wOTERERERERFypVKlSrFmzhlOnTmWYYBgzZgx2u/26x7rjjju44447SE5OdkeoqXjUVJT51pEjAIxsOpLvD3xPYrW34ethTJt2A/feC76+FscnIiIiIiIi2ZJer8GSJUuye/fuDPcpW7YsCQkJqdZl1NNw1apVOY4xM1S54An+Sy40LduUZmWbkWwkUeXJ8QBco4eHiIiIiIiISK5QcsETHD3qXHT0XtgT9hZlqh/mn38gE9UwIiIiIiIiIm6j5IInOHPG2b2xWdlmNC3TlCR7ErUHjMfHB64xm6eIiIiIiIiI2ym5kNf5/Pcj+m9oBMCoZqMA+PzoW/R5/rBz/YkTuRmYiIiIiIiIiEnJhbzO77+em1ckFxzVC4kpiSTVH4/NZq4fPFhVDCIiIiIiIpL7lFzI6/z/Sy5c0XcBLvdeWPDLW9j++yl+8w289VZuBiciIiIiIiKi5ELe5+dvfr2icgHM6oUmZZqQmJKYqlxh4EDYuzc3AxQREREREZH8TsmFvM4/7bAIAJvN5qxesGMmFxo2hAsXoEsXSEnJ1ShFREREREQkH1NyIa9Lp+eCQ/OyzWl8Q2Pn91OnQoECsGEDTJqUS/GJiIiIiIhIvqfkQl7nGBZxVc8FMKsXHDNHAPgXOsa0aeby8OHwyy+5EJ+IiIiIiIjke0ou5HUZDItwaF62Of9NFsGMn2fQtSvcfz8kJUGnTpCQkCtRioiIiIiISDZ07doVm82GzWbD39+fcuXKMXToUOLj453bOJ6/8nH77benOs7333/P3XffTZEiRQgJCaFKlSoMHjyYIxl8lnQ1JRfyuisrF9KZZ9J8YZk/xnd+fYej544wdy5ERsJvv8GIEbkZrIiIiIiIiGTVXXfdxbFjx9i3bx9TpkzhzTffZOTIkam2WbBgAceOHXM+VqxY4XzuzTffpGXLlkRHR/Phhx/y559/MmfOHOLi4pg8eXKuXINfrpxFss/RcyExEU6dMrMGV3FULiSkJDJhwwSmt5nOvHnQrh289hrccw80bpxmNxEREREREe9kGHDxojXnDgkBm+36210hMDCQ6OhoAEqXLk3Lli1ZvXo1EyZMcG4TERHh3OZK//zzD8888wzPPPMMU6ZMca4vW7YsTZo0ITY2NnvXkUWqXMjrbDaIijKX0+m7cLW5W+dy9NxR7r8funUzf6e6dIFz59wcp4iIiIiISF5x8SKEhVnzyGFS4/fff2fjxo0EBARkavsPPviAxMREhg4dmu7zEREROYons5Rc8AQlS5pfrzNWpm7JOiSkJDBhvZndmjoVypSB/fth0CA3xygiIiIiIiLZ8vnnnxMWFkZQUBDVq1fnxIkTPPvss6m2efTRRwkLC3M+PvnkEwD27NlDeHg4xYsXtyDyyzQswhOUKAHbt183uTC4wWBWHfgfc7fN5fnbn6d4eHEWLYLmzeGtt+C+++Dee3MpZhEREREREauEhMD589adO4uaN2/O7NmzuXDhAlOmTMHPz48HH3ww1TZTpkyhZcuWzu8dyQTDMLBlcRiGO6hywRNksnKhSZkmNCzdkPjkeCZsMKsXmja9XLXQsyecPOnOQEVERERERPIAmw1CQ615ZOODfmhoKBUrVqRGjRrMnz+fn376ibfffjvVNtHR0VSsWNH5CA0NBaBSpUrExcVx7Ngxl9y67FJywRM4kgvX7blgY1TTUQC8ufVNjp0zX1yvvAJVq8KJE/Dkk+lOOiEiIiIiIiJ5gI+PDy+88AIvvfQSly5duu72Dz30EAEBAUycODHd59XQUS7LZOUCQMvyLWlQqgHxyfFM3GC+uIKCYMkS8PeHjz82l0VERERERCRvevjhh/H19WXmzJnX3bZ06dJMmTKFadOm0aNHD9auXcvBgwfZsGEDTz75JC+//HIuRKzkgmcoUcL8monkgs1mY1SzUQDM2TrHWb1QqxaMMlfz9NNw6JAb4hQREREREZEc8/Pzo1+/fkycOJELFy5cd/s+ffrw9ddfc+TIEdq3b0/lypXp2bMn4eHhDBkyJBciVkNHz5CFygWAO8vfSf1S9fnxnx95beNrvN76dQCGDoXPP4dNm6BrV/jmG/BReklERERERMQyCxcuTHf9888/z/PPPw+YTRuvp2XLlqkaPuY2fbT0BI7kwqlTkJBw3c1ttsu9F2Zvmc3x88cB8PODxYvN5qXffw/Tp7srYBEREREREclPlFzwBIULQ2CguZzJDqCtKrSifqn6qXovAFSsCJMnm8vPPw9//unqYEVERERERCS/UXLBE9hsWeq7YO5iY2TTkQDM2TLHWb0A5owRd91lFkF06gRJSS6PWERERERERPIRJRc8RRb7LgC0rtCaeiXrcSn5Eq9teM253maDt982CyK2bYNcah4qIiIiIiIiXkrJBU/hSC4cPZrpXa6cOWL2ltnEnI9xPleiBMyebS6PHQs//eSqQEVERERERCS/UXLBU2SjcgHM6oW6Jeua1QsbX0v13COPwGOPQUqKOTwiEzOciIiIiIiIiKSh5IKnyGLPBYcrZ46YtXlWquoFgBkzzLzFnj3w3HOuCFRERERERETyGyUXPEU2KxcA7qp4F3VK1OFS8iUmbZyU6rlChWDBAnN55kz4+uucBioiIiIiIiL5jZILniIbPRccruy9MHPzTE5cOJHq+TvvhH79zOVu3eD06ZwEKiIiIiIiIvmNkgue4srKBcPI8u5tKrZxVi9cOXOEw4QJUKmSmbtwJBpEREREREREMkPJBU9RvLj59dIliI3N8u42m42RTUcCMGvLrDTVCyEhsGQJ+PrC//0fLFuW04BFRERERETkerp27Uq7du3Sfa5s2bLYbDZsNhshISFUr16dt956K9U2a9ascW5z9eP48ePO7c6ePcvw4cOpWrUqwcHBFClShDp16jBx4kTOnDmT4+tQcsFTBAdD4cLmcjb6LgDcfePd3FbiNi4mXUzTewGgbl148UVzuXfvbJ9GREREREREXGTMmDEcO3aM33//nY4dO9KrVy9WrlyZZrtdu3Zx7NixVI+oqCgATp8+Tf369VmwYAFDhgzhp59+Ytu2bbz66qts376d9957L8dx+uX4CJJ7SpY0GyIcPQrVqmV5d8fMEff83z3M3DyTZxs+S2RoZKptXnoJvvgCtm6FHj1g5Uqw2Vx1ASIiIiIiIu5nGAYX7XZLzh3i44PNhR+iChQoQHR0NADPPfccEydOZPXq1bRp0ybVdlFRUURERKR7jBdeeIFDhw6xe/duSjhmIgTKlClDq1atMLIx9P5qSi54kpIl4bffclRS4Khe2HJ0C5M2TmLCnRNSPe/vbw6PuPVWWLUK5swxqxhEREREREQ8xUW7nbB16yw59/nGjQn19XX5ce12Ox9//DFnzpwhICAgS/stW7aMjh07pkosXMkVyRANi/AkjhdCDpILV/ZemLF5BicvnEyzzc03w/jx5vKQIbBnT7ZPJyIiIiIiIjnw3HPPERYWRmBgIA899BCFChWiZ8+eabYrVaoUYWFhzkfVqlUBOHnyJLGxsdx0002ptq9du7Zz20cffTTHcapywZNcOWNEDrS9sS21i9dm67GtTN40mfEtx6fZ5umnYcUK+O476NwZ1q0DP71aRERERETEA4T4+HC+cWPLzu1Kzz77LF27duXYsWM8++yz9OnTh4oVK6bZbt26dRQoUMD5vb+//zWP+/HHH5OYmMhzzz3HpUuXchynPi56Ekdy4ejRHB3GUb1w39L7mPHzDAY3GJym94KPDyxYANWrw48/mlNVOpo9ioiIiIiI5GU2m80tQxOsULRoUSpWrEjFihX54IMPqF69OrfddhtVqlRJtV25cuXS7bkQGRlJREQEu3btSrX+hhtuAMyeDrHZmJHwahoW4UlcVLkAcE+le7i1+K1cSLrA5E2T093mhhtgxgxzedQo2LYtx6cVERERERGRbCpdujQdOnRg2LBhmd7Hx8eHRx55hHfeeYejOfxD9TXP47Yji+u5oOeCQ6reCz/P4NTFU+lu17EjPPggJCdDp04QH5/jU4uIiIiIiMgV4uLi2LFjR6rH4cOH0922f//+fPbZZ2zZsiXV+hMnTnD8+PFUj6SkJADGjh1LyZIlqVu3LvPnz+fXX39l7969fPzxx2zatAlfF1R5aFiEJ3FULsTEQFKSObVDDtxb6V5qRddi+/HtTN44mXEtx6XZxmYzZ4xYvx7+/NMcGjE5/UIHERERERERyYY1a9ZQq1atVOt69OiR7rZVqlShVatWjBgxgi+//NK5/uqGjQCbNm2ifv36FClShJ9//pkJEybw2muvsX//fnx8fLjxxhvp0KEDAwYMyPE12AxXTGjpQc6ePUvBggWJi4sjPDzc6nAytHDQDspOieXvDiH0XFrXXGm3Q1CQmVg4fBhKlQJgzRpfwE6DBscIDIzO0nk+/etT2i1rR1hAGPv776doSNF0t/viC7jnHjPZ8N130KxZDi5ORERERETEheLj49m/fz/lypUjKCjI6nDSSElJYfv27dSqVcslVQK5KbP3VsMiPImPDxQvbi67YGgEwH033UfN6JqcTzzP65tez3C7tm2hVy8wDOjSBc6edcnpRURERERExAsoueBpXNh3AczeC6OajgLgjZ/f4N+L/2a47eTJUK4cHDoE/fu75PQiIiIiIiLiBZRc8DQunDHCIbPVCwUKwOLF5tCIhQvhk09cFoKIiIiIiIh4MCUXPI0jueDCKUSunDli+s/Tr1m9cPvtMHSoudyrl9lbUkRERERERPI3JRc8jRsqFwDuv+l+Z/XClB+nXHPb0aPhllvg1KnLfRhEREREREQk/1JywdO4uOeCg81mY0STEQBM/+na1QuBgbBkCQQEwGefwYIFLg1FREREREREPIySC57GTZULAPdXvp8axWpwLvHcdasXbrkFXn7ZXO7fH/bvd3k4IiIiIiIi4iGUXPA0bui54OBj82FE08vVC6cvnb7m9oMHmz0Yzp83p6dMSXF5SCIiIiIiIuIBlFzwNI5hEefOmQ8Xa1e5HbcUu8WsXth07eoFX19YtAjCwmDdOphy7c1FRERERETESym54GnCwiA83Fx2w9AIH5uPc+aIaT9Nu271Qvnyl5MKL74Iv/3m8pBEREREREQkj1NywRO5se8CmNUL1aOqcy7xHFN/nHrd7Xv0gHvugcRE6NTJ/CoiIiIiIiLXd/LkSXr37s0NN9xAYGAg0dHRtG7dmrVr11K0aFHGjx+f7n4vv/wyxYoVIykpCYDExEQmTpxIjRo1CAkJoWjRojRq1IgFCxY4t3EnJRc8kRv7LkDa6oUzl85cc3ubDebNgyJF4JdfYNQot4QlIiIiIiLidR588EG2b9/OokWL2L17NytWrKBZs2bExcXRsWNHFqQzPZ9hGCxcuJDOnTvj7+9PYmIirVu3Zvz48TzxxBNs3LiRn3/+mb59+/LGG2/wxx9/uP06/Nx+BnE9N1cuALS/uT3Vo6rz24nfmPrjVEY3H33N7aOjYe5cePBBmDDBrGRo2NBt4YmIiIiIiGTIMAzsF+2WnNsnxAebzZapbWNjY1m3bh1r1qyhadOmAJQpU4a6desCUK5cOaZNm8b69eu5/fbbnfutXbuWffv20aNHDwCmTp3KDz/8wJYtW6hVq5Zzu/Lly/Pwww+TmAvl5UoueCJHU0c3JhccM0c8/MHDTP1pKgPqD6BQcKFr7vPAA9C5MyxebH7dscNsESEiIiIiIpKb7BftrAtbZ8m5G59vjG+ob6a2DQsLIywsjE8++YT69esTGBiY6vnq1atTp04d5s+fnyq5sGDBAho2bEjlypUBePfdd2nZsmWqxIKDv78//v7+ObiizNGwCE+UC5ULAA/c/ADVoqpxNuFspnovAEyfDqVLw969MGSIW8MTERERERHxaH5+fixcuJBFixYRERFBo0aNeOGFF/j111+d2/To0YMPPviA8+fPA3Du3DmWL19O9+7dndvs2bPHmWiwiioXPJGbey44+Nh8GNFkBI8sf4RpP01jYIOBRARFXHOfggVh4UJo0QLefBPuuw/uvtutYYqIiIiIiKTiE+JD4/ONLTt3Vjz44IO0bduWdevW8eOPP7Jy5UomTpzIW2+9RdeuXXn00UcZOHAg77//Pt27d2fZsmX4+PjQoUMH5zEMw3D1ZWSZKhc8US5VLgA8WOVBqkZWJS4hLtPVC3fcAQMGmMs9esC//7otPBERERERkTRsNhu+ob6WPDLbb+FKQUFB3HnnnQwfPpyNGzfStWtXRo40m+yHh4fz0EMPORs7LliwgEceeYSwK8agV6pUib/++ss1Ny+blFzwRI6eC8eOQUqKW0915cwRU3+cSmx8bKb2GzsWbr4Zjh+H3r0hDyTSREREREREPEKVKlW4cOGC8/sePXqwfv16Pv/8czZu3Ohs5Ojw2GOP8c0337B9+/Y0x0pKSkp1LHdRcsETFSsGPj5mYuHECbef7srqhWk/TsvUPsHBsGQJ+PnBBx/Ae++5OUgREREREREP8++//3LHHXfwzjvv8Ouvv7J//34++OADJk6cyP333+/crkmTJlSsWJHOnTtTuXJlGl41Nd+AAQNo1KgRLVq0YObMmfzyyy/s27eP999/n/r167Nnzx63X4uSC57Iz8+c+xHc3ncBLs8cATDlxymZrl6oXRtGmLvRty/884+bAhQREREREfFAYWFh1KtXjylTptCkSROqVavG8OHD6dWrFzNmzHBuZ7PZ6N69O2fOnEnVyNEhMDCQ1atXM3ToUN58803q169PnTp1mD59Os888wzVqlVz+7XYjLzQ+SEXnT17loIFCxIXF0d4eLjV4WRo4aAdlJ0Sy98dQui5tG7aDerWhc2b4dNPWRPeHrDToMExAgOj3RKP3bBTfXZ1/jz5J6ObjXYmG64nORkaNYKff4aWLWHVKrPoQkRERERExFXi4+PZv38/5cqVIygoyOpw0khJSWH79u3UqlULX9/MTVOZV2T23upjnqdy9F3IhaaOcHnmCMha9YKfnzk8IjgYvvkGZs50Y5AiIiIiIiJiCSUXPFUuzhjh8FCVh6gSWYXY+Fim/zQ90/tVqgSvvWYuDx0KFjcxFRERERERERdTcsFTOZILudBzwcHXx5fhTYYDZvVCXHxcpvft0wfuvBPi46FTJ0hKcleUIiIiIiIiktuUXPBUFlQuADxc5WFuLnpzlqsXbDZYsAAiImDLFnOqShEREREREfEOSi54qlzuueDg6+ObauaIrFQvlCwJs2aZyy+/bPajFBEREREREc+n5IKnsqhyAczqhcpFK3Mm/gxv/PxGlvZ99FHo0AFSUszhEZcuuSlIERERERERyTVKLngqR3IhNjbXT+3r4+ucOeL1Ta9zNuFslvafNQuKF4ddu+D5590RoYiIiIiIiOQmJRc8VXg4hIZadvpHqj5yuXrhp6xVLxQuDPPnm8vTp5tTVIqIiIiIiIjnUnLBU9lsl/suWODKmSMmb5qc5eqFu+6C3r3N5W7dLCnAEBERERERERdRcsGTOYZGGIYlp+9QtQM3FbkpW9ULAK+9BhUrwj//wNNPuyFAERERERERyRVKLngyR3LBIldWL7z+Y9Z7L4SGwpIl4OMD77wDy5e7I0oREREREZG8q2vXrthsNp566qk0z/Xt2xebzUbXrl2d27Zr1y7DY5UtWxabzYbNZiM0NJRbb72VDz74wE2Rp6bkgiezOLkA8L9q/6NSkUqcvnSaGT/PyPL+9evDsGHm8lNPwbFjLg5QREREREQkjytdujRLly7l0hXT6cXHx/Pee+9xww03ZOlYY8aM4dixY2zfvp06derQoUMHNm7c6OqQ01BywZM5ei5YNCwC0vZeOJdwLsvHGDECatWCf/+Fnj0tvRwREREREfEChmGQknLBkoeRjQ80t956K6VLl+ajjz5yrvvoo4+44YYbqFWrVpaOVaBAAaKjo6lUqRIzZ84kODiYzz77LMsxZZWf288g7pMHKhfArF54+YeX2f3vbmb8PINhjYdlaf+AAHN4RO3a8OWXMG8ePPGEm4IVERERERGvZ7dfZN26MEvO3bjxeXx9sz6zX/fu3VmwYAGPP/44APPnz6dbt26sWbMm27H4+fnh7+9PYmJito+RWapc8GR5JLng5+PnrF6YtGlStqoXqlaFsWPN5UGDYO9eV0YoIiIiIiKSt3Xs2JH169dz8OBBDh48yIYNG+jYsWO2j5eYmMi4ceOIi4vjjjvucGGk6VPlgidzzhZhbRhgVi+MWTuGPaf3MHPzTJ6//fksH2PAAFixAtauhS5dzK++vq6PVUREREREvJuPTwiNG5+37NzZERkZSdu2bVm4cCGGYdC2bVuKFi2a5eM899xzvPTSS8THxxMWFsb48eNp27ZttmLKCiUXPFl0tNURODmqFzp/0plJGyfRr24/wgKyVobk4wOLFkH16rBhgzlV5fNZz1GIiIiIiEg+Z7PZsjU0wWrdu3enX79+AMycOTNbx3j22Wfp2rUrYWFhFCtWDJvN5soQM6RhEZ4sIACioqyOwunR6o9yY+Eb+ffSv8z8OXu/CGXKwPTp5vKIEfDLLy4MUEREREREJA+76667SExMJCkpidatW2frGEWLFqVixYpER0fnWmIBlFzwfHmk7wKY1QsvNXkJgNc2vsb5xOyVIXXpAvffD0lJ0KkTJCS4MkoREREREZG8ydfXl507d/Lnn3/im8EY8bi4OHbs2JHqcfjw4VyONC0lFzxdHkouADxW/TEqFq6Yo+oFmw3mzjWLMn77DYYPd3GQIiIiIiIieVR4eDjh4eEZPr9mzRpq1aqV6jF69OhcjDB96rng6UqUsDqCVPx8/Hip8Ut0/bQrkzZNom/dvlnuvQBmYmHePLOCYdIkuPdeaNzYDQGLiIiIiIhYaOHChdd8/pNPPkm17bW2P3DggEtiyg5VLni6PFa5APD4LY9ToVAFTl08xazNs7J9nPvug+7dwTDMoRLnsj7DpYiIiIiIiOQCJRc8XR5MLjhmjoCc9V4AmDIFypaF/fth4EAXBSgiIiIiIiIupeSCp8uDyQVIXb0we/PsbB8nPNycntJmg7ffhhUrXBikiIiIiIiIuISSC54uj/VccLh65ogLiReyfawmTWDwYHO5Vy84edIVEYqIiIiIiIirKLng6a6sXEjMW3M2drylIxUKVeDkxZPM3pL96gWAl1+GatXgxAl48kmzD4OIiIiIiMiVDH1QcLnM3lMlFzxd4cKXl2NOWBdHOvx8/Hix8YsATNwwMUfVC0FBsGQJ+PvDxx/D4sWuilJERERERDydv78/ABcvXrQ4Eu/juKeOe5wRTUXp6Ww2sP23fPwYVLQ0mjQ63tKRV9a9wr4z+5i9ZTZDGg7J9rFq1oTRo+GFF+CZZ6BZMyhTxmWhioiIiIiIh/L19SUiIoITJ8w/uIaEhGCz2a6zV+5JSUkBID4+Hl9fX4ujyRzDMLh48SInTpwgIiLiunErueBNjh+3OoI0/H39ebHxi/RY0YPXNr5G79t6ExoQmu3jPfssfPYZbNoE3brBN9+Aj+pvRERERETyvejoaABngiEvsdvtnDp1igMHDuDjYR9gIiIinPf2WpRc8Ao2wIBjx6wOJF2dbunEKz+8wv7Y/czZMofBDQdn+1h+fuaQiJo14fvvYdo0TVEpIiIiIiJgs9koXrw4UVFRJCUlWR1OKufPn6dt27Zs2bKFsLAwq8PJNH9//0xXWii54A0c1T4xMZaGkRF/X39eavISPVb0YOLGifSu05sQ/5BsH69iRZg8GZ56CoYNg9atoUoVFwYsIiIiIiIey9fXN88NPUhMTOTgwYMEBAQQFBRkdThu4Vn1GHJtebRyAczqhXIR5Thx4QRztszJ8fGeeALatIGEBOjUCRITXRCkiIiIiIiIZIuSC94kD/ZccHD0XgCYsGECF5Ny1sXVZoO33zYny9i2zZyqUkRERERERKyh5II3cHRBzcOVCwCda3SmbERZTlw4wZtb3szx8YoXhzn/FUGMHQs//pjjQ4qIiIiIiEg2WJ5cmDlzJmXLliUoKIh69erx888/X3P7qVOnctNNNxEcHEzp0qUZOHAg8fHxuRRtHhcTA4ZhdRQZcnX1AsDDD8Njj4HdDp07w4ULOT6kiIiIiIiIZJGlyYVly5YxaNAgRo4cybZt26hRowatW7fOcOqQ9957j+eff56RI0eyc+dO3n77bZYtW8YLL7yQy5HnUZfiITbW6iiuyVG9EHMhxiXVCwAzZkDJkrBnDwwd6pJDioiIiIiISBZYmlx4/fXX6dWrF926daNKlSrMmTOHkJAQ5s+fn+72GzdupFGjRjz22GOULVuWVq1a8eijj1632iFfOXLE6giuKcA3gBduN5NBEzdO5FLSpRwfs1AhWLjQXJ41C1atyvEhRUREREREJAssSy4kJiaydetWWrZseTkYHx9atmzJpk2b0t2nYcOGbN261ZlM2LdvH19++SV33313hudJSEjg7NmzqR5eLY8nFwC61OxCmYJlOH7+OG9udU31QsuW8PTT5nL37nD6tEsOKyIiIiIiIplgWXLh1KlTpKSkUKxYsVTrixUrxvEMZj147LHHGDNmDLfffjv+/v5UqFCBZs2aXXNYxLhx4yhYsKDzUbp0aZdeR55z9KjVEVxXgG9Aqt4LrqheABg/Hm66ybwFffu65JAiIiIiIiKSCZY3dMyKNWvWMHbsWGbNmsW2bdv46KOP+OKLL3j5GvMQDhs2jLi4OOfj8OHDuRixBTygcgHM6oUbCt7A8fPHmbt1rkuOGRICS5aAry8sXWo+RERERERExP0sSy4ULVoUX19fYmJiUq2PiYkhOjo63X2GDx9Op06d6NmzJ9WrV6d9+/aMHTuWcePGYbfb090nMDCQ8PDwVA+v5iHJhSurF8ZvGO+y6oU6deCll8zlPn085naIiIiIiIh4NMuSCwEBAdSuXZtvv/3Wuc5ut/Ptt9/SoEGDdPe5ePEiPj6pQ/b19QXAyMNTMOYqD/o03bVmV2f1wrxt81x23BdfhNtugzNnoEePPD07p4iIiIiIiFewdFjEoEGDmDdvHosWLWLnzp307t2bCxcu0K1bNwA6d+7MsGHDnNvfe++9zJ49m6VLl7J//35Wr17N8OHDuffee51JhnzPA3ouOFw5c8T49eOJT453yXH9/c3hEUFB5swRs2e75LAiIiIiIiKSAT8rT96hQwdOnjzJiBEjOH78ODVr1uSrr75yNnk8dOhQqkqFl156CZvNxksvvcSRI0eIjIzk3nvv5dVXX7XqEvIeD6pcAOhWqxuvrnuVw2cPM2/rPJ6u97RLjlu5MkyYAP37w5AhcOedcOONLjm0iIiIiIiIXMVm5LPxBGfPnqVgwYLExcXl6f4LCwftoOyUWP7uEELPpXWvue2aNb6AnQYPQGCsDRISzD/fe4g5W+bQ+4veFA8rzr7++wjyC3LJce12aNUKvv0W6tWD9evBz9J0moiIiIiI5Eee8jk0Jzxqtgi5Dn8/s8FABlN55lXdanajdHhpjp0/xrytruu94OMDCxZAwYLw00/mVJUiIiIiIiLiekoueJP/hpN4Ut8FgEC/QF5o/F/vhQ2u670AULo0zJhhLo8eDdu2uezQIiIiIiIi8h8lF7yJI7ngYX0XwKxeKBVeiqPnjvLWtrdceuzHH4cHH4TkZOjUCeJdl7sQERERERERlFzwLsWLm189MLkQ6BfonDli3PpxLq1esNlgzhwz9/Lnn/DCCy47tIiIiIiIiKDkgneJjja/emByAaB7re7O6oW3t73t0mMXLQpv/3fIKVPg++9dengREREREZF8TckFb+KoXPCwngsOgX6BDLt9GGBWLyQkJ7j0+G3bQq9e5nLXrhAX59LDi4iIiIiI5FtKLngTD+654NCjVg9KFijJkXNHeHu7a6sXAF5/HcqXh0OHoH9/lx9eREREREQkX1JywZt4cM8FhyurF8auG+vy6oWwMFi82OzDsGgRfPyxSw8vIiIiIiKSLym54E08vOeCQ49b3Vu90KgRDB1qLj/xBMTEuPwUIiIiIiIi+YqSC97EkVw4fx7OnbM2lhwI8gvi+dufB9zTewFg9Gi45RY4dcrsw2AYLj+FiIiIiIhIvqHkgjcJCYXwcHPZw6sXet7akxIFSvDP2X+Yv32+y48fGAjvvAMBAfDZZ7BggctPISIiIiIikm8oueBtSpY0v3p4ciHIL8itM0cAVK8Or7xiLvfvD/v3u/wUIiIiIiIi+YKSC97GS5ILcLl64fDZwyzY4Z7SgkGDoHFjcyRJly6QkuKW04iIiIiIiHg1JRe8jSO5cPSotXG4QJBfEM83MnsvuGPmCABfX3PWiLAwWLcOpkxx+SlERERERES8npIL3qZECfOrF1QuAPSq3YviYcU5fPYwC3csdMs5ypWDqVPN5RdfhN9+c8tpREREREREvJaSC97Gi4ZFQOqZI15d9yqJKYluOU/37nDvvZCYCJ06QYLriyRERERERES8lpIL3sbLkgsAvW69XL2wYLt7ei/YbDBvHhQtCr/8AqNGueU0IiIiIiIiXknJBW/jRT0XHIL9g3mu0XMAjF0/1m3VC8WKwdy55vLEibBhg1tOIyIiIiIi4nWUXPA2jp4Lx4551dQHT9R+guiwaA7FHXJb7wWA9u2hc2ew282v58+77VQiIiIiIiJeQ8kFb1OsGPj4mImFEyesjsZlgv2DU80c4a7qBYDp0+GGG2DfPhg82G2nERERERER8RpKLngbPz+IjjaXvajvAlyuXjgYd5BFOxa57TwFC8LCheby3Lnw5ZduO5WIiIiIiIhXUHLBG3lh3wVI3XvBnTNHADRvDgMGmMs9esCpU247lYiIiIiIiMdTcsEbOfoueFnlAsCTtZ+kWGgxDsYdZPEvi916rrFj4eab4fhx6N0bDMOtpxMREREREfFYSi54Iy+cjtLh6uqFpJQk950rGJYsMUeaLF8O773ntlOJiIiIiIh4NCUXvJEXJxcAnrzNrF44EHvA7dULtWvDiBHmct++cPiwW08nIiIiIiLikZRc8EZe2nPBIcQ/hKGNhgLwyrpX3Fq9ADBsGNSrB3Fx0K2bOU2liIiIiIiIXKbkgjfy4p4LDk/d9hRRoVG5Ur3g5weLF5vDJL79FmbOdOvpREREREREPI6SC97Iy4dFgFm9kFu9FwAqVYJJk8zloUPhr7/cejoRERERERGPouSCN3IkF2Jj4eJFS0NxJ0f1wv7Y/Sz5dYnbz9e7N7RqBfHx0KkTJLk3nyEiIiIiIuIxlFzwRuHhEBpqLntp3wX4r/dCw/96L/zg/t4LNhvMnw+FCsGWLeZUlSIiIiIiIqLkgney2fJF3wUwqxciQyLZH7ufd359x+3nK1kSZs0yl19+GTZvdvspRURERERE8jwlF7xVPui7ABAaEJqrM0cA/O9/0KEDpKSYwyO8eOSJiIiIiIhIpii54K3ySXIBoPdtvYkMiWTfmX28+9u7uXLOWbPM4pBdu8ypKkVERERERPIzJRe8lSO54MU9FxxCA0J5tuGzgNl7Idme7PZzFi5s9l8AmD4dvvnG7acUERERERHJs5Rc8Fb5pOeCQ586fSgaUpS9Z/bmSu8FgNatzRkkALp1MyfnEBERERERyY+UXPBW+WhYBPzXe+GKmSNyo3oB4LXX4MYb4Z9/oF+/XDmliIiIiIhInqPkgrfKZ8kFSF298O6vudN7ITQUFi8GHx9491344INcOa2IiIiIiEieouSCt7qy54JhWBtLLrmy98LLP7yca9UL9etfbur41FNw7FiunFZERERERCTPUHLBW0VHm1+TkuDUKWtjyUVXVi+899t7uXbeESOgVi04fRp69Mg3+RwRERERERFAyQXvFRAAUVHmcj4aGhEWEMaQBkOA3K1eCAiAJUsgMBBWroR583LltCIiIiIiInmCkgveLB/2XQDoW7cvRYKL8Pfpv/m/3/4v185btSqMHWsuDxoEe/fm2qlFREREREQspeSCN7uy70I+EhYQxpCGuV+9ADBgADRrBhcuQOfOkJKSa6cWERERERGxjJIL3qxECfNrPqtcAOhbx6xe2HN6T65WL/j4wMKFUKAAbNxoTlUpIiIiIiLi7ZRc8Gb5dFgEQIHAAgxuMBiAV9a9kqvVC2XKwPTp5vKIEbBjR66dWkRERERExBJKLnizfJxcAOhXtx+Fgwuz+9/dLP19aa6eu0sXaNfOnKyjUyeIj8/V04uIiIiIiOQqJRe8WT7tueBQILBAqpkjUuy51wDBZoO5c80JO37/3axgEBERERER8VZKLnizfNxzwcHK6oXIyMtTUk6aBD/8kKunFxERERERyTVKLngzR+XCqVOQkGBtLBa5svdCblcvANx3H3TvDoZhDpU4ezZXTy8iIiIiIpIrlFzwZoULQ2CguZxPh0bA5eqFXf/uYtkfy3L9/FOmQNmycOAADBqU66cXERERERFxOyUXvJnNlu/7LgCEB4YzqL75qX7M2jG5Xr0QHg6LFpk/jrffhhUrcvX0IiIiIiIibqfkgrdT3wUAnq73NIWCCllWvdCkCQw2R2fQqxecPJnrIYiIiIiIiLiNkgveLp9PR+kQHhjOoAZm9YIVvRcAXn4ZqlWDEyfgySfNPgwiIiIiIiLeQMkFb6fkgtPTdc3qhb9O/cX7f7yf6+cPCoIlS8DfHz7+GBYvzvUQRERERERE3ELJBW+nngtOBYMKWl69ULMmjB5tLj/9NBw8mOshiIiIiIiIuJySC95OPRdSebru00QERbDz1E4++PMDS2IYOhQaNoRz56BrV7DbLQlDRERERETEZZRc8HYaFpFKwaCCls4cAeDraw6JCA2FNWtg2rRcD0FERERERMSllFzwdlcmF9RBEIBn6j3jrF5Y/udyS2KoUAEmTzaXhw2DP/6wJAwRERERERGXUHLB2zmGRcTHQ2yspaHkFQWDCjKw/kAAxvwwBrthzbiEJ56Au++GhATo1AkSEy0JQ0REREREJMeUXPB2QUFQuLC5rKERTo7qhT9P/mlZ9YLNBm+9Zf54tm83p6oUERERERHxREou5Afqu5BGRFAEA+oNAGD02tGWVS8ULw5z5pjLY8fCjz9aEoaIiIiIiEiOKLmQHyi5kK7+9ftTMLCgpdULAA8/DI8/bs4a0akTXLhgWSgiIiIiIiLZouRCfuBILhw9am0ceUxEUMTl3gtrreu9ADBjhvlj+vtvc6pKERERERERT6LkQn7gaOqoyoU0HNULf5z8gw///NCyOCIiYOFCc3nWLFi1yrJQREREREREskzJhfxAwyIyFBEUwYD6AwBrey8AtGwJTz9tLnfrBqdPWxaKiIiIiIhIlii5kB8ouXBN/ev1JzwwnD9O/sFHOz+yNJbx4+Gmm+DYMejb19JQREREREREMk3JhfxAPReuqVBwoTwxcwRASAgsWQK+vrB0qfkQERERERHJ65RcyA8cPRdiYiApydpY8qgB9QcQHhjO7yd+5+OdH1saS5068NJL5nLv3io4ERERERGRvE/JhfwgMhL8/cEw4Phxq6PJkwoFF6J/vf6A9dULAC++CLfdBrGx0L27+aMTERERERHJq5RcyA98fKB4cXNZfwbPkKN64bcTv1leveDvbw6PCAqCr7+G2bMtDUdEREREROSalFzIL9R34boKBxd2Vi+M+WGM5dULlSvDhAnm8pAhsHu3peGIiIiIiIhkSMmF/MLRd0GVC9c0oP4ACgQU4NeYX/nkr0+sDod+/aBFC7h0CTp3huRkqyMSERERERFJS8mF/ELTUWZKquqFtdZXL/j4wIIFULAg/PSTOVWliIiIiIhIXqPkQn6h5EKmDWwwkAIBBfgl5hc+/etTq8OhdGmYMcNcHj0atm61Nh4REREREZGrKbmQX6jnQqYVDi7MM/WeAfLGzBEAjz8ODz1kDovo1MkcJiEiIiIiIpJXKLmQX6jnQpYMrH+5emHFrhVWh4PNZs4YER0NO3eaU1WKiIiIiIjkFUou5BcaFpElRUKK8HTdpwGzesEwDIsjgqJF4a23zOUpU+D7762NR0RERERExEHJhfzCkVw4fx7OnrU2Fg8xqMEgwgLC2HF8B5/usr73AkDbtvDEE+Zyly4QF2dtPCIiIiIiIqDkQv4RGmpOOQDqu5BJebF6AWDyZChfHg4fhv79rY5GREREREREyYX8RX0XsuzK6oW80HsBICwMFi82p6lctAg+/tjqiEREREREJL9TciE/Ud+FLCsaUjRPVi80agRDh5rLTzwBx49bG4+IiIiIiORvSi7kJ0ouZMugBoMI9Q9l+/HtfLb7M6vDcRo9GmrUgFOnzARDHsl7iIiIiIhIPqTkQn7iSC6o50KWXFm9MGrNqDxTvRAQAEuWmF8/+wzmz7c6IhERERERya+UXMhP1HMh2wY3HOysXvh89+dWh+NUvTq88oq5PGAA7NtnaTgiIiIiIpJPKbmQn2hYRLYVDSlKv7r9ABi1Nu9ULwAMGgSNG5uzjHbtCikpVkckIiIiIiL5jZIL+YmSCzkyuIFZvbDt2Da+2POF1eE4+fqas0aEhcG6dfD661ZHJCIiIiIi+Y2SC/mJI7lw/Lj+vJ0NkaGR9K3TF8hbvRcAypWDqVPN5Zdegl9/tTQcERERERHJZ5RcyE+iosDHx0wsnDhhdTQeaUjDIYT4h7D12NY8Vb0A0L073HsvJCZCp06QkGB1RCIiIiIikl8ouZCf+PlBdLS5rKER2RIZGkm/OmbvhdFrR+ep6gWbDebNg6JFzcqFUaOsjkhERERERPILJRfyG/VdyDFH9cKWo1v4cs+XVoeTSrFiMHeuuTxxImzYYG08IiIiIiKSPyi5kN84kgtHj1obhwdL1Xshj80cAdC+PXTpAnY7dO5sziIhIiIiIiLiTkou5DclSphfVbmQI1dWL6z8e6XV4aQxbRrccAPs2weDB1sdjYiIiIiIeDslF/IbDYtwiajQKPrc1gfIezNHABQsCAsXmstz58IXeav3pIiIiIiIeBklF/IbJRdc5tlGzxLsF8zmo5v56u+vrA4njebNYeBAc7lHDzh1ytp4RERERETEeym5kN+o54LLRIVG0afOf9ULebD3AsDYsVClCsTEQO/ekAdDFBERERERL6DkQn6jngsu9WxDs3rh5yM/58nqhaAgWLLEnIV0+XJ4912rIxIREREREW+k5EJ+46hciI2FixctDcUbFAsr5qxeGL12dJ6sXrj1Vhg50lzu1w8OH7Y2HhERERER8T5KLuQ34eEQGmouq3rBJRzVCz8d+YlVe1dZHU66nn8e6tWDuDjo1s2cplJERERERMRVlFzIb2w29V1wsWJhxeh9W28g71Yv+PnB4sUQHAzffgszZlgdkYiIiIiIeBMlF/Ij9V1wuWcbPUuQXxA//vMjX+/92upw0lWpEkyaZC4/9xzs3GltPCIiIiIi4j2UXMiPNB2ly0WHRTurF/LqzBFgzhjRujXEx0PnzpCUZHVEIiIiIiLiDZRcyI+UXHCLoY2GOqsXVu9bbXU46bLZ4O23oVAh2LIFXn3V6ohERERERMQbWJ5cmDlzJmXLliUoKIh69erx888/X3P72NhY+vbtS/HixQkMDKRSpUp8+eWXuRStl1DPBbeIDovmqdpPATBqTd6tXihZEmbNMpdfeQWu8ysnIiIiIiJyXZYmF5YtW8agQYMYOXIk27Zto0aNGrRu3ZoTJ06ku31iYiJ33nknBw4cYPny5ezatYt58+ZR0vFhWTJHPRfcxlG9sOmfTXm2egHgf/8zHykp5vAIzUoqIiIiIiI5YWly4fXXX6dXr15069aNKlWqMGfOHEJCQpg/f36628+fP5/Tp0/zySef0KhRI8qWLUvTpk2pUaNGLkfu4TQswm2KFyjurF7IqzNHOMycaeaZdu0yp6oUERERERHJLsuSC4mJiWzdupWWLVteDsbHh5YtW7Jp06Z091mxYgUNGjSgb9++FCtWjGrVqjF27FhSUlIyPE9CQgJnz55N9cj3rhwWYbdbG4sXclQvbDy8kW/2fWN1OBkqXBgcebw33oDVebfQQkRERERE8jjLkgunTp0iJSWFYsWKpVpfrFgxjh8/nu4++/btY/ny5aSkpPDll18yfPhwJk+ezCuvvJLhecaNG0fBggWdj9KlS7v0OjxS8eLm16QkOHXK2li8UPECxXmy9pNA3q9eaN0a+vQxl7t1gzNnrI1HREREREQ8k+UNHbPCbrcTFRXF3LlzqV27Nh06dODFF19kzpw5Ge4zbNgw4uLinI/Dhw/nYsR5lL8/REWZy2rq6BZDGw0l0DeQDYc38O3+b60O55omToQbbzRHyTz9tNXRiIiIiIiIJ7IsuVC0aFF8fX2JiYlJtT4mJobo6Oh09ylevDiVKlXC19fXue7mm2/m+PHjJCYmprtPYGAg4eHhqR6C+i64WYkCJZzVC3l55giA0FBYvBh8fODdd+GDD6yOSEREREREPI1lyYWAgABq167Nt99e/quu3W7n22+/pUGDBunu06hRI/7++2/sV/QJ2L17N8WLFycgIMDtMXsVJRfc7rnbn3NWL3y3/zurw7mm+vXhhRfM5aeegmPHrI1HREREREQ8i6XDIgYNGsS8efNYtGgRO3fupHfv3ly4cIFu3boB0LlzZ4YNG+bcvnfv3pw+fZr+/fuze/duvvjiC8aOHUvfvn2tugTPpeSC25UoUIInaj8BwKi1ebt6AWD4cLj1Vjh9Gnr0gDweroiIiIiI5CGWJhc6dOjApEmTGDFiBDVr1mTHjh189dVXziaPhw4d4tgVf0ItXbo0q1atYvPmzdxyyy0888wz9O/fn+c1j17WlShhflXPBbd6rpFZvbD+0Po8X70QEABLlkBgIKxcCXPnWh2RiIiIiIh4Cj+rA+jXrx/9+vVL97k1a9akWdegQQN+/PFHN0eVD6hyIVeUDC/JE7Wf4I2f32D02tHcUe4ObDab1WFlqEoVGDcOBg0yHy1aQMWKVkclIiIiIiJ5nUfNFiEupORCrnmu0XME+Aaw7tA6vj/wvdXhXFf//tCsGVy8CF26QEqK1RGJiIiIiEhep+RCfpWN5MKhQ5P48cdyXLq0101BeaeS4SV54laz98LotaPzfO8FHx9YuBDCw2HjRnOqShERERERkWtRciG/cvRc+PdfSEjI1C5HjrxBfPwBzp79yY2BeafnbjerF344+ANrDqyxOpzrKlMGpk83l0eOhB07LA1HRERERETyOCUX8qvChc3OfZCppo6XLh0gIeGQm4PyXqXCS9Hr1l6AOXOEJ+jcGdq3h6Qk6NQJ4uOtjkhERERERPIqJRfyK5stS0MjYmPXuDeefOD525/3qOoFmw3efBOiouD3382pKkVERERERNKj5EJ+loXkQlzcWjcH4/1KhZeiZ62eAIxaM8raYDIpMhLeestcnjwZ1uplICIiIiIi6VByIT9z9F3IxLCI2Fh9qnQFR/XC2oNrPaJ6AeDee6FHDzAM6NoVzp61OiIREREREclrlFzIzzJZuRAff4j4+P25EJD3K12wND1q9QDMmSM8xZQpULYsHDgAAwdaHY2IiIiIiOQ1Si7kZ5lMLqhqwbWG3T4Mfx9/1hxYw9oDnnFvCxSAxYvNPgzz58Onn1odkYiIiIiI5CVKLuRnSi5YonTB0vS81ey94EnVC40bw5Ah5nKvXnDihLXxiIiIiIhI3qHkQn6WyZ4LjpkibDY/NweUfzx/+/P4+/jz/YHvPaZ6AeDll6FaNTh5Ep580uzDICIiIiIiouRCfnZl5UIGnxITEo4QH78X8CEsrFbuxeblbih4g0f2XggMhHfeAX9/+OQTWLTI6ohERERERCQvUHIhP3NULsTHw5kz6W7iGBIRFlYLP7+CuRVZvjCs8TBn9cIPB3+wOpxMq1EDxowxl595Bg4etDYeERERERGxnpIL+VlQEBQpYi5n0HfBMSQiIqJpLgWVf9xQ8Aa61+oOeFb1AsCzz0LDhnDunDk9pd1udUQiIiIiImIlJRfyu+v0XXBULkRENMulgPIXx8wR3+3/jnUH11kdTqb5+pqzR4SGwpo1MHWq1RGJiIiIiIiVlFzI764xY0RCwjEuXdoN2ChYsHHuxpVPlIkoQ7ea3QDPq16oUAFef91cfuEF+OMPa+MRERERERHrKLmQ310juXC530IN/P0jcjGo/OWFxi/g5+PHt/u/Zf2h9VaHkyW9esHdd0NCAnTqBImJVkckIiIiIiJWUHIhv7tGciEuTkMickOZiDJ0r+mZvRdsNnjrLbN1x/btlxs9ioiIiIhI/qLkQn53jZ4LjsqFggXVzNHdhjUehp+PH9/s+4YNhzZYHU6WFC8Oc+aYy+PGwY8/WhuPiIiIiIjkPiUX8rsMKhcSE2O4eHEnYCMioknux5XPlI0o67G9FwAeegg6djRnjejUCS5csDoiERERERHJTUou5HcZJBdiY38AIDS0Ov7+hXM7qnzJ0Xth9b7VHle9APDGG1CqFPz9tzlVpYiIiIiI5B9KLuR3juTCiROQlORcfXkKSg2JyC1lI8rStUZXwDOrFyIiYOFCc3n2bFi1yspoREREREQkN/llZ6eUlBQWLlzIt99+y4kTJ7Db7ame/+6771wSnOSCokXB399MLBw/DqVLAxAbuwZQM8fc9kLjF1j4y0JW71vNxsMbaVi6odUhZUmLFvDMMzB9OnTrBr//DoVV+CIiIiIi4vWyVbnQv39/+vfvT0pKCtWqVaNGjRqpHuJBfHzMjnzgHBqRlBTLxYt/AFCwYGOrIsuXyhUqR5caXQDPrF4AGD8eKleGY8egTx+roxERERERkdyQrcqFpUuX8v7773P33Xe7Oh6xQsmScOiQM7lw/vxWAIKCyhEQEGllZPnSC41fYNEvi/h679dsOryJBqUbWB1SlgQHw+LF0KABLFsG998Pjz5qdVQiIiIiIuJO2apcCAgIoGLFiq6ORaxyVVPHs2c3A1CgQB2rIsrXyhcq7/HVC3XqwPDh5nKfPmn6hYqIiIiIiJfJVnJh8ODBTJs2DcMwXB2PWKFECfPr0aMAnDun5ILVXmj8Ar42X1btXcWP//xodTjZ8sILZpIhNha6dwe9XYiIiIiIeK9sDYtYv34933//PStXrqRq1ar4+/unev6jjz5ySXCSS66qXLicXLjNqojyPUf1wvwd8xm9djQrH19pdUhZ5u9vDo+oVQu+/hpmzYK+fa2OSkRERERE3CFblQsRERG0b9+epk2bUrRoUQoWLJjqIR7miuRCYmIMCQmHARsFCtS2NKz87sUmL+Jr8+Wrv7/y2OqFypVh4kRz+dlnYfdua+MRERERERH3yFblwoIFC1wdh1jpiuTCuXNbAAgJqYyfXwELg5LyhcrTuUZnFuxY4LHVC2BWK6xYAd98A506wYYN4Jetdx4REREREcmrslW54HDy5EnWr1/P+vXrOXnypKtiktx2Rc8FNXPMW15sfLl64ad/frI6nGzx8YH586FgQfj5Zxg3zuqIRERERETE1bKVXLhw4QLdu3enePHiNGnShCZNmlCiRAl69OjBxYsXXR2juJujcuH8ec6d2QQouZBXVChcgU41OgGeO3MEQOnSMHOmuTxmDGzdam08IiIiIiLiWtlKLgwaNIi1a9fy2WefERsbS2xsLJ9++ilr165l8ODBro5R3C00FAoWxADnsAg1c8w7HNULK/9eyc9HfrY6nGx77DF4+GFITjaHR1y6ZHVEIiIiIiLiKtlKLnz44Ye8/fbbtGnThvDwcMLDw7n77ruZN28ey5cvd3WMkhtKliShGCQZp7HZ/AgLq2l1RPKfioUrekX1gs0Gs2dDdDTs3GlOVSkiIiIiIt4hW8mFixcvUqxYsTTro6KiNCzCU5UowdmbzMXQ0Or4+gZZG4+k4qhe+HLPlx5dvVCkiNl/AWDqVPj+e0vDERERERERF8lWcqFBgwaMHDmS+Ph457pLly4xevRoGjRo4LLgJBeVLMm5/5IL6reQ91QsXJGOt3QEYMzaMRZHkzNt2sCTT5rLXbpAXJy18YiIiIiISM5lK7kwbdo0NmzYQKlSpWjRogUtWrSgdOnSbNy4kWnTprk6RskNJUtyrrK5qORC3vRi4xfxsfnwxZ4v2Hxks9Xh5MikSVChAhw+DM88Y3U0IiIiIiKSU9lKLlSrVo09e/Ywbtw4atasSc2aNRk/fjx79uyhatWqro5RcoFRsjjnKpnLauaYN91Y5EZn9YIn914ACAuDxYvNaSoXL4aPPrI6IhERERERyQm/7O4YEhJCr169XBmLWOhSKRspYeCTZCM0VAmivOqlxi/xzq/v8MWeL9hydAu3lfDcRFDDhvDcczBunDlMomFDs9mjiIiIiIh4nkwnF1asWEGbNm3w9/dnxYoV19z2vvvuy3FgkrvORv4LCRC23x8fH3+rw5EM3FjkRh6v/jhLfl3C6LWj+ezRz6wOKUdGjYIvv4RffoFevWDFCnNWCRERERER8SyZTi60a9eO48ePExUVRbt27TLczmazkZKS4orYJBedCz4ECVDg9yRISQFfX6tDkgy81OQl3v3tXT7f/Tlbj26ldonaVoeUbQEB8M47ULs2fP65OZNEjx5WRyUiIiIiIlmV6Z4LdrudqKgo53JGDyUWPNM5+58AFNhpQEyMxdHItVQqUonHqj8GeH7vBYBq1eDVV83lAQNg3z5LwxERERERkWzIVkPH9MTGxrrqUJLL7PZkzp/fAUCBXcDRo5bGI9f3UuOX8LH58Nnuz9h6dKvV4eTYwIHQpAmcP29OT6kcpYiIiIiIZ8lWcmHChAksW7bM+f3DDz9M4cKFKVmyJL/88ovLgpPccfHiH9jtl/C95EvIP8CRI1aHJNdxU9GbnNULY34YY3E0OefrCwsXmrNIrF8PkydbHZGIiIiIiGRFtpILc+bMoXTp0gCsXr2ab775hq+++oo2bdrw7LPPujRAcb+zZzcDUOBUIWwGSi54CEf1wopdK9h2bJvV4eRYuXIwbZq5PHw4/PqrtfGIiIiIiEjmZSu5cPz4cWdy4fPPP+eRRx6hVatWDB06lM2bN7s0QHG/c+f+Sy5cNH+mSi54hpuK3sSj1R4FYMxaz69eAOjWDe67DxIToVMnSEiwOiIREREREcmMbCUXChUqxOHDhwH46quvaNmyJQCGYaihowdyJheobK5QzwWP8VITs3rh012fsv3YdqvDyTGbDebOhchIs3Jh5EirIxIRERERkczIVnLhgQce4LHHHuPOO+/k33//pU2bNgBs376dihUrujRAcR27PZm4uE3Y7YnOdSkp8Vy48BsABUJvNVdmoXLBMFKIi9uQ6piSeyoXrcz/qv0P8I6ZIwCKFTMTDAATJ5o9GEREREREJG/LVnJhypQp9OvXjypVqrB69WrCwsIAOHbsGH369HFpgOI6x48vYPv2hhw6NM657sKFXzGMZPz9ixIUXcNcmYXkwtGjc9i+/XYOHnzV1eFKJg1vMhwbNq+pXgBo1w66dgXDMGePOHfO6ohERERERORa/LKzk7+/P0OGDEmzfuDAgTkOSNzn3LktACQkXB724KhaCA2tga1wKXNlFpILJ09+CEBi4jEXRSlZ5ahe+L/f/48xP4zh4w4fWx2SS0ydCt99B/v2weDBl6sZREREREQk78l0cmHFihW0adMGf39/VqxYcc1t77vvvhwHJq4XH78vzboLF/4AIDS0GkSVMFfGxcGFCxAaes3jJSefIy5ONet5wfAmw1n6+1I++esTdhzfQc3omlaHlGMFC8KiRXDHHTBvHtx/P7Rta3VUIiIiIiKSnkwnF9q1a8fx48eJioqiXbt2GW5ns9nU1DGPunTpWsmFqhAebiYULlwwmzreeOM1jxcb+z2GkeSWWCVrbo68+XL1wtoxfNThI6tDcolmzWDgQHj9dejRA37/HYoWtToqERERERG5WqZ7LtjtdqKiopzLGT2UWMib7PZkEhIOpVmfKrlgs0HJkuYTmRgacfr0Vy6NUXLG0Xvh478+5pfjv1gdjsu8+ipUqQIxMfDUU2YfBhERERERyVuy1dBRPE9Cwj8YRnKqdUlJsSQmmkmEkJAq5spMJhcMw+D06ZUuj1Oy7+bIm+lQrQMAY34YY3E0rhMUBO+8A35+8OGH8O67VkckIiIiIiJXy1Zy4ZlnnmH69Olp1s+YMYMBAwbkNCZxg/j4/WnWXbxoVi0EBpbC3z/CXFniv74LR4+m2f5Kly7tIT7+gAsjFFdwVC98tPMjr6peqFULRo0yl/v1g8OHLQ1HRERERESukq3kwocffkijRo3SrG/YsCHLly/PcVDietdq5hgSUvXyykxWLmhIRN5UJbIKj1R9BPCu6gWA556D+vXNfqNdu4LdbnVEIiIiIiLikK3kwr///kvBggXTrA8PD+fUqVM5Dkpc77rNHB2ymFzw8yvsmgDFZa6sXvg15lerw3EZPz9YvBhCQswpKmfMsDoiERERERFxyFZyoWLFinz1Vdq/XK9cuZLy5cvnOChxvfSGRWQ3uWC3XyI2dg0AhQu3clmM4hpVo6rycNWHARiz1ruqF268ESZNMpefew527rQ2HhERERERMWV6KsorDRo0iH79+nHy5EnuuOMOAL799lsmT57M1KlTXRmfuEh6lQuOngupkguZ6LkQG7sOu/0SAQElUw+pkDxjeJPhfPDHB3y480N+i/mN6sWqWx2Syzz1FHz6KaxaBZ06waZN4O9vdVQiIiIiIvlbtioXunfvzuTJk3n77bdp3rw5zZs355133mH27Nn06tXL1TGKC1zdcyEp6V8SE48DV8wUAZcrF44ezXBQ+5kzqwAoXPgubDab64OVHKsWVe1y9YKX9V6w2WD+fChUCLZuNaeqFBERERERa2V7KsrevXvzzz//EBMTw9mzZ9m3bx+dO3d2ZWziIsnJ50lKOplqnWNIRGBgGfz8Clx+onhx89NbUhJk0D/DkZQoXPgu9wQsLjG8yXAAlv+5nN9ifrM4GtcqUQJmzzaXX3kFfv7Z2nhERERERPK7bCcXkpOT+eabb/joo48wDAOAo0ePcv78eZcFJ66R6X4LYNaXR0WZy9ds6uhLoUItXRShuEO1qGo8XMWsXnj5h5ctjsb1OnSARx+FlBRzeMTFi1ZHJCIiIiKSf2UruXDw4EGqV6/O/fffT9++fTl50vyr+IQJExgyZIhLA5Scy1JyATLVdyE8vD7+/hGuCE/cyFG98MGfH/D7id8tjsb1ZswwX667d5sNHkVERERExBrZSi7079+f2267jTNnzhAcHOxc3759e7799luXBSeuce1mjtXS7pCJGSM0JMIzVC9WnYeqPAR438wRAIULw4IF5vKMGbB6tbXxiIiIiIjkV9lKLqxbt46XXnqJgICAVOvLli3LkWuW0osVLjdzvNx88cIF86/Y6VYuKLngVUY0GQGYvRe8sXqhVSvo29dc7tYNzpyxNh4RERERkfwoW8kFu91OSkpKmvX//PMPBQoUSGcPsZJjWERgoJk0SEo6QVLSKcBGSMjNaXe4TnLB378oBQrc6o5QxQ2qF6vOgzc/iIHhlb0XACZMgBtvNF+y/fpZHY2IiIiISP6TreRCq1atmDp1qvN7m83G+fPnGTlyJHfffberYhMXcQyLCAoqB1zutxAUVA5f35C0O1yn50KhQq2x2bLdC1QsMKKpWb3wwR8f8MeJPyyOxvVCQ2HJEvD1hffeg/fftzoiEREREZH8JVufECdNmsSGDRuoUqUK8fHxPPbYY84hERMmTHB1jJIDhmE4KxeCgsoDcOnSXiCDIRGQYeWCn18hAIoWvc8NkYo73VLsFq+vXqhXD154wVzu3RuOHbM2HhERERGR/CRbyYXSpUvzyy+/8OKLLzJw4EBq1arF+PHj2b59O1GOaQwlT0hMjMFuvwTYCAq64b+1diCDZo6QYXKhYsVpVKnyAZGRD7snWHErR/XC+3+8z58n/7Q4GvcYPhxuvRVOn4YePeC/WXJFRERERMTNspxcSEpKokKFCuzZs4fHH3+ciRMnMmvWLHr27Jlq5gjJGxzNHAMDS2OzpW7Aed3KhX//hfh45+rAwOJERT2EzWZLfz/J024pdgsP3PyAV1cv+PubwyMCA2HlSpg71+qIRERERETyhywnF/z9/Ym/4gOn5G2OIRHBweXTPBcSkkFyoVAhCAszl/elncZSPJdj5ohlvy/z2uqFKlVg/HhzedAg+Ptva+MREREREckPsjUsom/fvkyYMIHk5GRXxyMudnUzx8t8CAmpnP5ONhvccou5vH27+4KTXFcjugbtK7fHwOCVH16xOhy3eeYZaN4cLl6Ezp1Bb1UiIiIiIu6VreTC5s2b+eijj7jhhhto3bo1DzzwQKqH5B1XN3N0CA6uiK9vUMY71qplflVywes4ei8s/X0pO0/utDga9/DxgYULITwcNm2C116zOiIREREREe+WreRCREQEDz74IK1bt6ZEiRIULFgw1UPyDkflwtXDIjLst+Cg5ILXqhldk3aV23l17wWAG26AN94wl0eOhB07LA1HRERERMSr+WVlY7vdzmuvvcbu3btJTEzkjjvuYNSoUWrkmIc5GjoGBZVzJhogi8kFwzCHSojXGNFkBJ/89QlLf1/KiKYjqFw0gyEyHq5TJ/jkE/j4Y+jYEbZsgaBrFOyIiIiIiEj2ZKly4dVXX+WFF14gLCyMkiVLMn36dPr27euu2CSH7PZEEhL+AdJWLmTYzNGhalXw84MzZ+DQIXeFKBapVbwW9990v9dXL9hs8OabUKwY/PGHOVWliIiIiIi4XpaSC4sXL2bWrFmsWrWKTz75hM8++4x3330Xu93urvgkB+LjDwIGPj4h+PtHpXruupULgYFmggE0NMJLjWw6EoD/++3/+OvUXxZH4z6RkfDWW+by5Mmwdq218YiIiIiIeKMsJRcOHTrE3Xff7fy+ZcuW2Gw2jh496vLAJOeuHBJhu2JYg83mR0jITdc/wK23ml+VXPBKV1YvePPMEQD33AM9e5ojfLp0gbNnrY5IRERERMS7ZCm5kJycTNBVA5b9/f1JSkpyaVDiGpcumTNFXD0kIjj4Rnx8Aq5/ADV19HqOmSP+7/f/Y9epXRZH416vvw7lysHBgzBwoNXRiIiIiIh4lyw1dDQMg65duxIYGOhcFx8fz1NPPUVoaKhz3UcffeS6CCXbrqxcAJzVC9cdEuGg5ILXu7X4rdx3032s2LWCV9a9wpL2S6wOyW0KFIBFi6BpU5g/H+67D+6/3+qoRERERES8Q5YqF7p06UJUVFSqaSc7duyYZjpKyRvi41NXLhQpcg/h4fUpXvzJzB2gRg2zI94//8CpU+4KUyzm6L3w3m/veX31QuPG8Oyz5nKvXnDihLXxiIiIiIh4iyxVLixYsMBdcYgbOKaeDAoykwthYTW49dZNmT9AgQJQsSLs2WNWL9x5pzvCFIvdWvxW7q10L5/t/szrqxcAxoyBlSvht9/giSfMaSo106qIiIiISM5kqXJBPMvVwyKyxTE0Yts2F0QkedWV1Qu7/91tcTTuFRgIS5aAvz98+qk5VEJERERERHJGyQUvlZR0huTkWACCg12QXFDfBa9Wu0Rt7ql0D3bD7vUzR4A54ufll83lZ56BAwcsDUdERERExOMpueClHP0W/P2j8PUNvc7W16DkQr7hqF5497d3vb56AWDIEGjUCM6dg65dwW63OiIREREREc+l5IKXurqZY7Y5kgt79sD58zmMSvKy20rc5qxeeHXdq1aH43a+vuaQiNBQWLsWpk61OiIREREREc+l5IKXurqZY7ZFRUGJEmAY8MsvLohM8jJH9cI7v77Dnn/3WByN+1WoAFOmmMsvvAB//GFtPCIiIiIinkrJBS/lkmaODtkYGnHu3A4SEzV9pae5rcRttL2xbb6pXgDo2RPatoWEBOjYERITrY5IRERERMTzKLngpS5dcgyLyP3kwrlz29m69Vb++OOBnJ9bct2V1Qt/n/7b4mjcz2aDt96CIkVgxw5zqkoREREREckaJRe8VGLiEQACA0vn/GBZTC6cOPEeYJCYeCzn55ZcV6dkHe6+8W5SjJR8MXMEQHQ0vPmmuTxuHGzaZG08IiIiIiKeRskFL5WQYH6wDwgonvODOZILv/9+3ZpxwzA4eXJ5zs8plspv1QsADz5oDouw26FzZ7hwweqIREREREQ8h5ILXshuTyQ5+V/ARcmFsmUhIgKSkuDPP6+56fnz24iPP5Dzc4ql6pasS5uKbUgxUvJN7wWAN96AUqXg77/h2WetjkZERERExHMoueCFEhOPA2Cz+ePvXyTnB7TZoGZNc/k6QyNUteA9HNULS35Zwt7Tey2OJndERMDCheby7Nnw1VdWRiMiIiIi4jmUXPBCjl4HAQHFsdlsrjloJvouaEiEd6lXql6+rF5o0QL69zeXu3eHf/+1Nh4REREREU+g5IIXSkg4CrhoSIRDJpILFy78yqVL+WN8fn7hqF5Y/MvifFO9AGZTx8qV4dgx6NvX6mhERERERPI+JRe8kKNyITDQDcmFHTvMjnfpcFQt+PsXc915xVL1StXjrop3kWKkMHbdWKvDyTXBwbBkCfj5wbJl8H//Z3VEIiIiIiJ5m5ILXujKYREuU7kyBAXB+fOwN72/YBucOPEBAJGRD7juvGI5R/XCol8Wse/MPoujyT233QbDh5vLffrAP/9YG4+IiIiISF6m5IIXcuk0lA5+flC9urmcztCICxf+5NKlXdhsARQpco/rziuWq1+qPq0rtDZ7L/yQf3ovAAwbBnXqQGys2X/BMKyOSEREREQkb1JywQtdHhZRwrUHvkbfhbNnNwJQuHBr/PwKuva8Yjln74VfF+er6gV/f3N4RHAwrF4Ns2ZZHZGIiIiISN6k5IIXSkx0Q0NHyFRTx8jIh7J0yMTEGE6cWIZhpN/HQfKGBqUb0KpCK5Ltyfmq9wLATTfBxInm8rPPwq5d1sYjIiIiIpIXKbnghdwyLAJSJxfSqQ+32fwpUuTeLB3y99/b8+ef/+PMmdWuiFDc6MreC/vP7Lc4mtzVpw+0bAmXLkHnzpCcbHVEIiIiIiJ5S55ILsycOZOyZcsSFBREvXr1+PnnnzO139KlS7HZbLRr1869AXoQuz2ZpKQTgBuSC7fcAr6+cOKEOUffVQoVaom/f6FMH+7cuW2cPbsJgKSkUy4LU9yjYemG+bZ6wccHFiyAiAj4+WdzqkoREREREbnM8uTCsmXLGDRoECNHjmTbtm3UqFGD1q1bc+LEiWvud+DAAYYMGULjxo1zKVLPYCYWDMCHgIBI1x48ONicNQLSHRqR1SERR4/OdkVUkosc1QsLf1nIgdgD1gaTy0qVgpkzzeUxY2DrVmvjERERERHJSyxPLrz++uv06tWLbt26UaVKFebMmUNISAjz58/PcJ+UlBQef/xxRo8eTfny5XMx2rwvIcHRbyEam83X9SfIsO+CL0WL3p/pwyQlxRIT867r4pJc0bB0Q+4sf2e+rF4AePRRePhhc1hEx47mMAkREREREbE4uZCYmMjWrVtp2bKlc52Pjw8tW7Zk06ZNGe43ZswYoqKi6NGjx3XPkZCQwNmzZ1M9vJljpgiXD4lwSJNcMBMYhQrdgb9/kUwfJiZmMXa7Ppl5Ikf1woIdC/Jd9YLNBrNnQ/Hi8Ndf8MILVkckIiIiIpI3WJpcOHXqFCkpKRQrVizV+mLFinH8+PF091m/fj1vv/028+bNy9Q5xo0bR8GCBZ2P0qVL5zjuvOzyNJS5k1yIinqYokUfpFy5lzN9CMMwNCTCgzW6oREty7ck2Z7MuHX5r/lAkSLw9tvm8tSp8N13loYjIiIiIpInWD4sIivOnTtHp06dmDdvHkWLFs3UPsOGDSMuLs75OHz4sJujtJbbKxdq1jS/7t8PsbEEB1egWrXlhIfXy/QhYmPXcPHiX/j4hFKgQOb3k7zDUb0wf8d8DsYetDia3NemDTz5pLnctSvExloZjYiIiIiI9SxNLhQtWhRfX19iYmJSrY+JiSE6OjrN9nv37uXAgQPce++9+Pn54efnx+LFi1mxYgV+fn7s3bs3zT6BgYGEh4enengzt01D6VCoEJQtay7v2JGtQziqFqKjO+Hn590/D291+w2306Jci3zbewFg0iSoUAEOH4b+/a2ORkRERETEWpYmFwICAqhduzbffvutc53dbufbb7+lQYMGabavXLkyv/32Gzt27HA+7rvvPpo3b86OHTu8fshDZiQmmg0dAwNLuO8kGTZ1vL6EhGOcOvUxACVK9HZlVJLLruy9kB+rF8LCYPFic5rKxYvho4+sjkhERERExDqWD4sYNGgQ8+bNY9GiRezcuZPevXtz4cIFunXrBkDnzp0ZNmwYAEFBQVSrVi3VIyIiggIFClCtWjUCAgKsvJQ8we3DIiBHyYVjx97CMJIJD29IWNgtLg5MclPjMo1pUa4FSfYkxq3Pf70XABo2hOeeM5efeAIyaBUjIiIiIuL1LE8udOjQgUmTJjFixAhq1qzJjh07+Oqrr5xNHg8dOsSxY8csjtJzuH1YBGQ7uWC3J3Ps2FwASpbs4+qoxALO3gvb53Mo7pDF0Vhj1CizFcm//0KvXmAYVkckIiIiIpL7LE8uAPTr14+DBw+SkJDATz/9RL16l5v8rVmzhoULF2a478KFC/nkk0/cH6RHsJOYaP7pNFeSCzt3wqXMTyf577+fk5DwD/7+RYmMfMhNwUlualymMXeUu8OsXsiHM0cABATAkiXm188/vzyThIiIiIhIfpInkgviGklJJ4EUwEZAQLHrbZ59JUpAZCSkpMDvv2d6t8uNHLvj4xPorugklzmqF97e/na+rV6oVg3G/tfXcuBA2LfP2nhERERERHKbkgtexDEkwt8/Eh8ff/edyGbL8tCIS5cOcObM1wCUKPGkuyITCzQp04TmZZuTZE9i/PrxVodjmQEDoEkTOH8eunQxc28iIiIiIvmFkgteJFeaOTo4kgvbtmVq8+PHFwIQEdGC4ODybgpKrOKoXnhr21scjjtscTTW8PWFRYugQAFYvx4mT7Y6IhERERGR3KPkghdxJBcCA3MxuZCJygXDsDuTC8WLd3djUGKVpmWb0qxss3w9cwRA2bIwbZq5PHw4/PqrpeGIiIiIiOQaJRe8iCWVC7/+CsnJ19w0NnYNCQkH8fUtSNGi7d0fm1jiyt4L+bV6AaBrV7jvPkhMhE6dICHB6ohERERERNxPyQUvkpBwFICAgBLuP1nFihAWBvHxsGvXNTc9dmw+AMWKPYqvb7D7YxNLNCvbjKZlmpKYkpivey/YbDBvntnz9NdfYeRIqyMSEREREXE/JRe8SK4Oi/DxgRo1zOVrDI1ITo7j1KkPAYiO7ub+uMRSo5qNAuCt7W/xz9l/rA3GQlFRZoIBYOJEsweDiIiIiIg3U3LBi+TqsAjIVN+FEyeWYrfHExJSlQIF6uROXGIZVS9cdv/95hAJw4DOneHcOasjEhERERFxHyUXvIhjKsq8lFw4dmwBAMWLd8Nms+VGVFly6dJ+kpP1qc+VHL0X5m2bl6+rF8Bs7limDOzfD4MHWx2NiIiIiIj7KLngRQzD7BxnSXLBMNI8nZDwD+fO/YTN5kexYh1zJ6YsOHPmO37+uRJ//PGA1aF4lWZlm9GkTBMSUxKZsH6C1eFYKjzcnJ7S0Yfh88+tjkhERERExD2UXPBCudJzAaBqVfD3h9hYOHgwzdN2ezwAhQu3JSCgWO7ElEnJyef466/uGEYyly7tszocr2Kz2RjVdBQAc7fN5cjZI9YGZLGmTWHgQHO5Z084edLaeERERERE3EHJBS/j51cYH5/A3DlZQICZYIBrDo0oXrx77sSTBXv3PktCQtqEiLhGs7LNaHxDY/Ve+M+rr5q/KjEx8NRT6Rb6iIiIiIh4NCUXvEyuDYlwuE7fBX//KAoXbpOLAV3f6dOrOXbsTavD8Go2m805c8S8bfPyffVCUBAsWQJ+fvDRR/DOO1ZHJCIiIiLiWkoueJlcGxLhUL68+fX48XSfjo7ujI+Pf45PYxgGx48v5ty5rTk6TnLyWXbt6gFAgQJ1cxyXZKx52ebcfsPtJKQkMGFD/u69AGYebtQoc7lfPzh0yNJwRERERERcSskFL5PrlQvXmQEiOrqbS05z4sR7/PVXF3bteiJHx9m7dzAJCYcJCipPuXKvuiQ2SV+q3gtb53L03FFrA8oDnnsO6teHs2ehWzew262OSERERETENZRc8DIBASWsDoHg4Er4+IRSpMi9/H97dx1mR3n2cfw7M0fXLdmNbFwJMRISpJCWBmmhhdIWSlsI3mJFCrxIkUKLFynuVoEaVJCiRZNAjChxTzabrOuRmXn/mLMnuxshySY5K78P11wz5zkj99mdLDv33s/zpKcf0ObzOU6MVatuBiAer/rK/W27kZqambitOraXl/+XjRufAmDYsGewrIw2xyY7d1T/o7ZWL3TxmSPA6xbxwguQlgbvvQcPPpjqiERERERE9g4lFzqZ/d4tYjsCgW4cfvgWRoz4214536ZNL9DQsGyX9nVdl3nzvsXMmeOpqvo42R6PV7F48bkA9Or1C3JyJu2V2GTnDMPgpkk3AfD4zMdVvQAMHgz33ONtX3MNLFqU2nhERERERPYGJRc6mf3eLWIHLCuEaQbafB7HibBq1S27vP+mTX+gsvJ/ADQ2bp0NYvnyq4lE1hEKDWTAgNvaHJfsum/2/yaHFx9OxI5w1yd3pTqcduHnP4fjjoPGRjj9dIjFUh2RiIiIiEjbKLnQybSX5EJbVFZ+zPTpQ9my5T9s3Pg0kcgaYOdjO4BXnbB8+VXbOd8HbNz4BADDhj2NZaXv7ZBlJ1pXL2ys2ZjiiFLPMODppyEvD2bOhN/8JtURiYiIiIi0jZILnUxHTy64rsuyZZfR0LCE0tKXWL3aG3Sxe/fTtrt/JLKBhoYVAKxadTOx2KYW79t2I4sXnwdAjx7nqztEikweMJnDig+jMd6o6oWEnj3h0Ue97d/+Fj77LLXxiIiIiIi0hZILnUx7GHOhLSoq3qa21ptucsuWV4hGNxAM9qFHj3O32TcWK2PGjDHMmDGGqqpprFvnjY7n8+Ul91m9+lYaGpYSCPRgwAANKJgqzWeOeGzmY6peSDjlFDjtNLBtr3tEfX2qIxIRERER2TNKLnQilpXV4Uv+myoVABzHe9Lq2/cGTDO4zb6rVt1CLLYZ267hyy/PBGwKCk4mM3M8AHV1X7B2rfdX8sGDH8bvz9nX4ctOTB4wmUN7H6rqhVYefhh69YIlS7ypKkVEREREOiIlFzqRjt4lorLyY6qqPmzRFgoNoKhoyjb71tcvZsOGR5KvGxoWY5phBg26L9m2bt39uG6cgoKT6dbte/sucNklhmFw89dvBrzqhZLaktQG1E7k5sKzz3rbDz0Eb7+d2nhERERERPaEkgudSEfvErFmze0AGIY/2dav382Ypn+bfZcvvxrXjbdo69v3ekKhPsnXrhvHsrIZPPjBfRSx7K6jBxyt6oXtOPpouOgib/uss6CiIrXxiIiIiIjsLiUXOpFAoGeqQ9hjNTWzKS9/HTApKjoLgLS0YRQW/nibfSsq3qOs7F+AlWwLhwdRXHzlNvsOHHg3wWDH/bp0Ns1njnh0xqOqXmjmrrtgyBBYvx4uvjjV0YiIiIiI7B4lFzqRjtwtYuPGxwHo3v1H9O17Pd27/4hhw17EMKxWe9osX/5LAHr1ugC/vwCAQYMebDYugzdtZXb2JHr0OGd/hC+74ZiBx3BI70NojDdy9yd3pzqcdiMtDV58ESwL/vQn+MtfUh2RiIiIiMiuU3KhE+nI3SJsuxaAPn2uIRTqwwEH/JmsrPHb7NfYuIra2jlYVjZ9+97EAQf8hQMO+Cv5+ccl9+nZ8zxyc49h2LBnMAzd4u1N6+qFTbWbvuKIrmPCBLjuOm/7ggtgw4bUxiMiIiIisqv05NWJdOTKBYD8/O+SkTFyl/bt1+8GAoECcnO/QffuP2jxXrdu32f06P8SDg/YF2HKXnDswGOZ2GsiDfEG7v5U1QvN3XADjBsH5eVw7rnguqmOSERERETkqym50Il09ORC377X7dJ+odAAevVSp/SOrPnMEY98/oiqF5rx+73uEcEgvPEGPP54qiMSEREREflqSi50Ih154MKcnG+SlTVxl/YdOPCuZuMrSEd17MBjmdBrgqoXtmP4cLjjDm/7l7+EpUtTG4+IiIiIyFdRcqETyMo6hHB4EKFQ/1SHstuys4/AsrIYMOC3O90vLW04fn83CgpOoqDg5P0UnexLhmFw86SbAa96obSuNLUBtTO/+AUcdRTU18OUKRCPf/UxIiIiIiKpouRCJzB27IccfPAiTDOQ6lB2W79+N3D44WVfWbXg9+dy2GEbGTHi7xiGsZ+ik33tuEHHba1e0MwRLZgmPPssZGXB1KneVJUiIiIiIu2VkgudgGFYmKYv1WHssV2N3TAszf7QyTSfOeKRGapeaK1PH3jwQW/7pptg9uzUxiMiIiIisiN6UhORlPrWoG9xcM+DqY/Vc8+n96Q6nHbn9NPh5JO9bhGnnw6NjamOSERERERkW0ouiEhKNa9eePjzh1W90IpheDNGFBbCggXwq1+lOiIRERERkW0puSAiKfftwd9mfM/x1Mfq+d2nv0t1OO1OQQE89ZS3fe+98MEHqY1HRERERKQ1JRdEJOWazxzx0OcPsbluc2oDaodOOAHOPRdc15s9oro61RGJiIiIiGyl5IKItAvNqxc09sL23Xsv9O8Pq1fDZZelOhoRERERka2UXBCRdqH12AuqXthWZia88II3DsOzz8I//5nqiEREREREPEouiEi7cfzg4xnXYxx1sTp+N1VjL2zP174GV13lbZ93HpRq/EsRERERaQeUXBCRdqN59cJDnz3ElvotKY6ofbrlFhg1CjZvhvPP98ZhEBERERFJJSUXRKRdOWHICRzU4yCvekEzR2xXMAgvvgh+v9c14rnnUh2RiIiIiHR1Si6ISLvSvHrhwc8eVPXCDowaBbfe6m1feimsWpXScERERESki1NyQUTane8M+Q5ji8ZSF6vj3qn3pjqcduvKK70xGGpq4MwzwXFSHZGIiIiIdFVKLohIu2MYBjd//WZA1Qs7Y1nw/POQng4ffAD33ZfqiERERESkq1JyQUTapabqhdporaoXdmLAgK1Jheuug/nzUxuPiIiIiHRNSi6ISLvUeuyFsvqyFEfUfp17LpxwAkSjcPrp3lpEREREZH9SckFE2q3vDv0uY4rGqHrhKxgGPPkk5OfDnDnw61+nOiIRERER6WqUXBCRdkvVC7uuqAgef9zbvuMO+PTT1MYjIiIiIl2Lkgsi0q6dOPRExhSNoSZaw33TNGLhznz/+163CMeBM86A2tpURyQiIiIiXYWSCyLSrhmGwY1H3gjA76f/nvKG8hRH1L79/vdQXAzLl8NVV6U6GhERERHpKpRcEJF278RhJzK6cLRXvTBV1Qs7k5MDzz7rbT/2GLzxRkrDEREREZEuQskFEWn3TMNMjr3wwPQHVL3wFb75Tbj0Um/7nHOgTENViIiIiMg+puSCiHQIJw47kVGFo6iJ1nD/tPtTHU67d/vtMHw4bNwIF14IrpvqiERERESkM1NyQUQ6BFUv7J5wGF58EXw++Mtf4M9/TnVEIiIiItKZKbkgIh3GScNOYmT3kVRHqlW9sAvGjYMbbvC2L7oI1q1LbTwiIiIi0nkpuSAiHUbr6oWKhooUR9T+XXcdTJgAlZVw9tneNJUiIiIiInubkgsi0qF8b/j3VL2wG3w+eOEFr5vE22/DI4+kOiIRERER6YyUXBCRDsU0TG6cdCMA90+/X9ULu2DoULjrLm/76qth8eLUxiMiIiIinY+SCyLS4Zw8/GQO7H4g1ZFqHpj+QKrD6RAuvBCOPhoaGuCMMyAeT3VEIiIiItKZKLkgIh2OaZjceGSiemHa/VQ2VqY2oA7ANOGZZyAnBz77DG67LdURiYiIiEhnouSCiHRI3z/g+4zoNoKqSBUPTFP1wq7o3RseftjbvvVWmDEjtfGIiIiISOeh5IKIdEjNZ464b9p9ql7YRaedBqec4nWLOP10r5uEiIiIiEhbKbkgIh2Wqhd2n2F4M0b06AFffgnXXpvqiERERESkM1ByQUQ6rNYzR6h6Ydfk58PTT3vbDzwA772X2nhEREREpONTckFEOrQfHPADDuh2AJWNlfx++u9THU6H8a1vwc9/7m2feSZUVqYyGhERERHp6JRcEJEOrfnMEfdNu4+qxqoUR9Rx3HMPDBwIa9fCL36R6mhEREREpCNTckFEOjxVL+yZ9HR48UVvmsoXX4S//z3VEYmIiIhIR6Xkgoh0eJZpccORNwBw77R7Vb2wGw49FK65xtv+2c+gpCS18YiIiIhIx6TkgkgrdXULqaqaluowZDf98IAfMrxgOJWNlTz42YOpDqdDuekmGDsWysrg3HPBdVMdkYiIiIh0NEouiDRTVfUpM2YcxJw5k4jH9dfvjsQyreTMEfdOVfXC7ggEvG4RwSC89ho89VSqIxIRERGRjkbJBZGEhoblzJ9/Iq4bwXWjxOPVqQ5JdtMPD/ghwwqGUdFYoeqF3TRiBPz2t9725ZfDihWpjUdEREREOhYlF0SAWKycuXOPJxbbkupQpA0s00rOHHHv1HupjihBtDsuvxwmTYK6OjjjDLDtVEckIiIiIh2FkgvS5blulPnzv0dDw2KCwWLASnVI0ganjDhla/XCdFUv7A7ThOeeg8xM+OQTb6pKEREREZFdoeSCdHmRyDqqqj7EsrIYOfJ1DMOX6pCkDVrPHKHqhd3Trx888IC3fcMNMHduSsMRERERkQ5CyQURwDB8jBjxNzIyDkx1KLIXnDriVIbmD6W8oZyHPnso1eF0OGeeCSeeCLEY/PSnEImkOiIRERERae+UXJAuq3mFwpAhj5GXd3QKo5G9qXn1wu+m/o6aSE2KI+pYDAOeeAK6dYN58+DGG1MdkYiIiIi0d0ouSJeVmTmWHj3OZfDgR+nR45yd7tvQsIKNG5/GcaL7KTppqx8d+COG5A9R9cIe6t4dnnzS2777bvj449TGIyIiIiLtm5IL0mUZhsXQoU/Sq9fPd7pfXd0iZs2ayOLF51Je/sZ+ik7aqvnMEfdMvUfVC3vgxBPhrLPAdb3ZI2r0JRQRERGRHVByQWQnGhpW8MUXk5NTVMbjVSmOSHZH8+qFhz9/ONXhdEj33w99+8LKlXDFFamORkRERETaKyUXRHYgElnPF19MJhrdkOpQZA81H3vhnk9VvbAnsrLg+ee9cRieegr+859URyQiIiIi7ZGSCyI7sGDByTQ2riQUGkhGxthUhyN76EcH/ojBeYMpayhT9cIemjRpa9XCuefC5s2pjUdERERE2h8lF0R2IBrdSDDYm9Gj38Hv757qcGQP+Uxfi+qF2mhtiiPqmH7zGxgxAjZtgp//3BuHQURERESkiZILsnfE4+A4qY5ir/L7uzN69DuEw/1SHYq00WkjT9tavfCZqhf2RCgEL74Ifj/84x/whz+kOiIRERERaU98qQ5AOolnn/WWtDRIT4eMDG/dfHt7benp0KcPnHACWFaqPwUAmZnjaWhYyujRb5GWNjTV4che4DN9/OrIXzHl1Snc/endXDThIjICGakOq8MZOxZuvhmuvx4uvtjrLtGnT6qjEhEREZH2QMkFaZuvf90b8a262ntdX+8tu9sp+1vfgj/9CXJy9naEu23s2A9wnBiWFUp1KLIX/Xjkj7n1w1tZVr6MRz5/hKsPvzrVIXVIV1/tDeo4dSqceSa88w6YqoETERER6fKUXJC2OfxwqKiAhgaoq4PaWm+9o+3WbbW18Npr8MYbMHEi/POfMGxYSj+SYVhY7aSKQvaeprEXmqoXLjz4QlUv7AGfD154AUaPhvffhwcfhEsvTXVUIiIiIpJqSi5I25nm1i4O3fdg4MNZs+Ckk2DJEi/B8Oc/w7e/vdfDFGlevfDo549y1eFXpTqkDmnQIPjd7+CCC+Caa+CYY2D48FRHJSIiIiKppGJWSb2DDoIZM+CII7zuFSecAHfeqeHoZa/zmT5+dcSvALjr07uoi9alOKKO62c/83ozNTbC6adDLJbqiEREREQklZRckPahe3ev83bTHHfXXAM//an35CKyF/1k1E8YmDuQLfVbeOTzR1IdTodlGPD005CXBzNnwq23pjoiEREREUklJRek/QgE4NFHvcXn8wZ4POooKC1NdWTSiTTNHAFw96d3q3qhDXr08P65Atx2G0yfntp4RERERCR1lFyQ9ufnP4f//tebOWLqVJgwAebPT3VU0on8dNRPGZg7kM31m3l0xqOpDqdDO+UU+PGPwbbhjDO8yWJEREREpOtRckHap6OO8v4MOngwrF4Nhx0Gr7+e6qikk/CZPq4/4npA1Qt7w0MPQa9e3pisV2uGTxEREZEuSckFab+GDIFp0+DrX4eaGvjOd+D3v9dAj7JX/HTUTxmQO4DSulIem/FYqsPp0HJz4dlnve2HH4a33kptPCIiIiKy/ym5IO1bXp7XReKcc8Bx4NJL4cILNTS9tJnf8ierF+769C7qY6rnb4ujj4aLL/a2zz4bKipSG4+IiIiI7F9KLkj7FwjAk0/CPfd4Q9Q/9hgcfzxUVqY6MungTh91Ov1z+qt6YS+5806v4Gj9erjoolRHIyIiIiL7k5IL0jEYBvzyl/Dqq5CeDm+/DYceCsuXpzoy6cD8lj85c8Sdn9yp6oU2SkuDF18Ey4I//xlefjnVEYmIiIjI/qLkgnQs3/0ufPwx9O4NX34JEyfChx+mOirpwFS9sHdNmADXe71NuOAC2LAhtfGIiIiIyP6h5IJ0PGPGwGefwcEHQ1kZTJ4Mzz2X6qikg2ox9sInGnthb/jVr2DcOG/chbPP1hisIiIiIl2BkgvSMfXoAR98AD/8oTe441lnwTXXeIM+iuymM0afQb+cfmyq28TjMx5PdTgdnt/vdY8IhbzxWB/Xl1RERESk01NyQTqucBheegluuMF7feed8IMfQF1dauOSDqf1zBENsYYUR9TxDR8Od9zhbf/yl7B0aWrjEREREZF9q10kFx5++GH69etHKBRi4sSJfPbZZzvc98knn+SII44gNzeX3NxcJk+evNP9pZMzTbjlFvjDH7xZJV55BY44whuuXmQ3NFUvlNSW8PhM/al9b7jkEjjqKKivhzPOgHg81RGJiIiIyL6S8uTCyy+/zBVXXMFNN93ErFmzGD16NMceeyylpaXb3f9///sfp512Gu+//z5Tp06luLiYY445hvV6mOzafvITeP996NYNZs/2xmPYsiXVUUkHErACXPe16wBv5ghVL7SdacKzz0JWFkybBnfdleqIRERERGRfSXly4d577+W8887jrLPO4oADDuCxxx4jLS2NZ555Zrv7//GPf+TCCy9kzJgxDBs2jKeeegrHcXj33Xf3c+TS7hx2mDfQY3ExbNwIb721Ty/nujZVVVNxnMg+vY7sP1PGTKFvdl9Kakt4YuYTqQ6nU+jTBx56yNu+6SYv9yciIiIinU9KkwvRaJSZM2cyefLkZJtpmkyePJmpU6fu0jnq6+uJxWLk5eVt9/1IJEJ1dXWLRTqxfv28zt6wTwd3jMermTfvBGbPPoxVq27dZ9eR/StgBZJjL9zxyR2qXthLfvpT+P73vW4RP/0pNDamOiIRERER2dtSmlzYsmULtm1TWFjYor2wsJCSkpJdOsf//d//0bNnzxYJiuZuv/12srOzk0txcXGb45aurbFxLbNnH0F5+ZsARKMbUhyR7E1TxkyhT3YfSmpLeHLWk6kOp1MwDHjsMSgshIULvakqRURERKRzSXm3iLa44447eOmll3jllVcIhULb3efaa6+lqqoquaxdu3Y/RymdSW3tbGbNOoS6urmpDkX2kRbVCx+remFvKSiAp5/2tu+915tJVkREREQ6j5QmFwoKCrAsi02bNrVo37RpE0VFRTs99p577uGOO+7grbfeYtSoUTvcLxgMkpWV1WIR2VPr1t1PNLqBtLQR9Ox5QarDkX3kzDFn0ie7DxtrN6p6YS86/ng47zxwXZgyBdRLTURERKTzSGlyIRAIMG7cuBaDMTYNznjooYfu8Li77rqLW2+9lTfffJPx48fvj1BFknJzj+aggz4hFOqb6lBkH2k+c8QdH99BY1yDBOwt994LAwbA6tVw6aWpjkZERERE9paUd4u44oorePLJJ3n++edZtGgRF1xwAXV1dZx11lkAnHHGGVx77bXJ/e+8805uuOEGnnnmGfr160dJSQklJSXU1tam6iNIFxAKeWN19OhxLiNHvobPl53iiGRfO2vsWRRnFXvVCzNVvbC3ZGTA88974zA89xy8+mqqIxIRERGRvSHlyYVTTz2Ve+65hxtvvJExY8YwZ84c3nzzzeQgj2vWrGHjxo3J/R999FGi0Sg/+MEP6NGjR3K55557UvURpAsYNOhBxo//giFDnsA0/akOR/aDgBXguiMS1QufqHphb/ra1+Dqq73t88+H0tLUxiMiIiIibedLdQAAF198MRdffPF23/vf//7X4vWqVav2fUAirVhWiIyMHY/tIZ3TWWPO4raPbmNt9VqemvUUF0/Y/s8p2X2//jW88QbMneuNw/Dqq141g4iIiIh0TCmvXBARaa+CvmCyeuH2j29X9cJeFAzCiy9CIAD/+pfXRUJEREREOi4lF0REduKsMWfRO6s3G2o28PSsp1MdTqcyahTcequ3femloMI0ERERkY5LyQURkZ0I+oLJmSNUvbD3/fKX3hgMNTXe9JS2neqIRERERGRPKLkgIvIVzh57Nr2zerO+Zr2qF/Yyy/Jmj8jIgA8/hPvvT3VEIiIiIrInlFwQEfkKQV+Qa7/mTYl7+8e3E4lHUhxR5zJgANx3n7d93XUwf35q4xERERGR3afkgojILjhn7Dn0yuzlVS/MVvXC3nbOOXDCCRCNwk9/6q1FREREpONQckFEZBeoemHfMgx48knIz4cvvvCmqhQRERGRjkPJBRGRXXTOQV71wrrqdTwz+5lUh9PpFBXBE09423fcAZ9+mtp4RERERGTXKbkgIrKLQr5Qsnrhto9vU/XCPnDyyXDGGeA43rq2NtURiYiIiMiuUHJBZC9yXZfy8ndoaFiZ6lBkHznnoHPomdmTddXreHbOs6kOp1P6/e+huBiWL4errkp1NCIiIiKyK5RcENlLotEtzJ//PebOPZqFC09NdTiyj7SoXvhI1Qv7QnY2PPect/3YY/DGGykNR0RERER2gZILIntBefk7zJgxirKyfwIQi21JcUSyL5170Ln0zOzJ2uq1ql7YR446Ci67zNs++2woK0tpOCIiIiLyFZRcEGmjsrLXmDv3aKLRjfh8eakOR/aDkC/ENYdfA3jVC1Fb8ybuC7fdBsOHQ0kJXHABuG6qIxIRERGRHVFyoYuzXZebV67kTf1ZcI/FYqUA9Ox5ASNG/C3F0cj+ct648+iR0cOrXpit6oV9IRyGF18Enw/++lf4859THZGIiIiI7IiSC13IZ9XVjPjsM95olkh4dcsWfr16NVevWLFH55xWVcVBM2bwdnn53gqzw/D5chPrfA488J8MGfIIlpWW4qhkfwn5QlzztUT1wseqXthXxo2DG2/0ti+6CNatS208IiIiIrJ9Si50IY+sX8/C+npe3bJ1PIC/lHp/dY84zm6fz3Zdzl28mNm1tfx18+a9FmdHUVh4BsOH/5mDD55PQcF3Ux2OpMB5B3nVC2uq1vDcnOdSHU6nde21MGECVFbCWWd501SKiIiISPui5EIX4boub1dUtGirs23+04buEM+XlLCgvr6toW1jUzTKb1atYlVDw14/995kWSEKC39EMFiU6lAkRcL+MP93+P8B8NuPfqvqhX3E5/O6R4TD8M478MgjqY5IRERERFpTcqGL+LK+ng3Rlg8+r5eVUb+HfwKst21uWLlyb4TWQp1t8625c7lh1SruV/2zdADnjzufoowi1lSt4fk5z6c6nE5ryBC4+25v++qrYfHi1MYjIiIiIi0pudBFtK5aAPjLbnZlWNHQwCPr1xN3HO5ft26bZMWeeGLDBo6cPZuSSATHdfnpokXMrq0FoE61z9IBhP3h5MwRql7Yty68EI4+Ghoa4PTTIRZLdUQiIiIi0kTJhS6idXKhNh7ntZ10iVgfibTolmC7Lt+aO5eLli7lj6Wl3LFmDQAHpqfvcUxvlJXx8yVL+KiqivcqK7luxYoW40GIdBRN1Qurq1aremEfMgx49lnIyYHPP4fbb091RCIiIiLSRMmFLiDmOPyvsrJF22vl5TQ4DsZ29q+Nxxk/cyZjZ86k3rYBeKm0lCWJZMOvVq6kxrY5KCODU7p126OYVjQ08ONFi2iatv6FkhLuXLsWgHEZGXt0TpFUaT72gmaO2Ld69do65sItt8CMGamNR0REREQ8Si50AdOrq6lNJAmaNM0S8bXs7G32f2HTJkqiUSrjcSrjcWzX5dZVq5Lvr4tEALh74EBMY3vpiZ2rt21Onj+fyng82fbfRGXFDX37cvIeJixEUuln435GUUYRqypX8cIXL6Q6nE7ttNPg1FPBtr3uEe187FcRERGRLkHJhS7gndZdImyb18vLAbapPHBclwfXr2/R9pfSUha3+u39W3l5HJWbu9uxuK7Lz5cs4Yu6Orr5/S26VZzarRu/7tdvt88p0h6E/WGuPuxqwBt7IWZrQIB96ZFHoEcP+PJLb6pKEREREUktJRc6qap4nM+rq1tMQdk3GATgzfJyGh2HweEwo1t1QXinooIvm00vabsut65e3WIfA7hzwIA9iuvh9et5cdMmLOAvBxxAn0RMEzIzeXbYMIydVELMq62lTCO4STv2s/E/ozC9UNUL+0FeHjzzjLf9wAPw7rupjUdERESkq1NyoZM6f/FiJsyaxX/KypheXQ3A0Xl5AJQnuiOc0q3bNmMu/L7V9I9/3byZRfX15Ph8HJaVBcCZRUWM3INxET6pquLy5csBuHPgQL6em8v/9enDBT178q+RIwlb1g6PfWDdOkbNmMH358/f7euK7C9p/jSuPtyrXvjNR79R9cI+dtxxcMEF3vaZZ0KroWVEREREZD9ScqETcppVK/yptBQbGBQOJysXmpzSvXuL10vr63kt0V2iyV2JWSGu6N2bm/v1Y0ph4R5VLWyKRvnhggXEXZdTunXjit69ATgyJ4dHhgyhMBDY4bEPr1/PZcuWAVvHexBpr34+/ud0T+/OqspVvDj3xVSH0+ndfTcMGgTr1sEvfpHqaERERES6LiUXOqGlDQ1UJKoT3k0kGY5uNT7C0HCYka2mkXwoMdbC8Xl5NNUQbIrFyPH5+EXv3hydl8dzw4fTbSeJAIAt0SjfnTePhxJVELbr8uOFC9kYjTI8LY2nhw7dafeH5h5bv56Lly7dpX1F2oM0f1py5ojffKjqhX0tPR1efBFM01v//e+pjkhERESka1JyoROalugGAbA5MUZB6+TCKd27t3jAr7Ftni0pAeAXiaqCJpf37k22z7dL13Zdl/OWLOHfZWXJgSFvXrWK9yorSTdN/j5iBBm7eK63ysu5IJFY+GZOzi4dI9IeNFUvrKxcyR/m/iHV4XR6hxyydVDHn/0MNm5MbTwiIiIiXZGSC51Q8+QCeN/kb7R6OP9hq1kiNkaj1Ng2w9LSWiQisi2LX/TqtcvXfr6khFe3bAHAAd4oK+M3iQEhnxg6lOGtqiV2Zk2iC8TlvXvz6/79d/k4kVRL86clZ47Q2Av7x403wtixUFYG550HrpvqiERERES6FiUXOqHWyYWDMzPJ8fuTr4elpbWYArK5S3r1alHRcFnv3i2O3ZmVDQ38IjE2AkBFLMZPFy0C4IKePflxYeEuf4bm8fxu4MBtBp4Uae+aqhdWVKxQ9cJ+EAh43SKCQXjtNXjqqVRHJCIiItK1KLnQydTZNnNra1u0Nc0ScVBmJhZwcasEQpMsy+KMRAJgUk4Og8NhLmvVRWJHbNfljC+/pMa26ZZIRpTF45TH44zPzOS+QYN2+TOMz8wkaBhc2qsXDwwatMvjM4i0J+mBdK467CoAfvvRb4k78RRH1PmNGAG33eZtX345JCanEREREZH9QMmFTmZGTQ1Oq7bJiW4O387Pp+7II7loB90czunRIzkewjujR7Pw4IN3uWrhr5s383FVFZmW1SKRkOPz8ZcDDiBo7vqtdkxeHtVHHMH9gwcrsSAd2gXjL6BbWjeWVyxX9cJ+ctllMGkS1NXBlClg26mOSERERKRrUHKhk2ndJSLdNDk0Kyv5ekcP+Qa0SDoYhoFvNxICNYnf4H8/aBCDwuFk+wvDhtG/2etdFdiNa4u0V82rF37z4W9UvbAfmCY8/zxkZsInn8A996Q6IhEREZGuQU9wnUzr5MKknJydPqiPzcxkfGYmVxUXM3APkgDNfa+ggClFRYzLyOCcoiKeHDKE7xQUtOmcIh3dhQdfSEFaAcsrlvPHuX9MdThdQt++8Pvfe9s33ABffJHaeERERES6AiUXOhHXdZPJhSzLArZ2idiRdMvi83HjuHPgwD26pi/RbaHQ7+eJIUOSFQ9PDRvGuT177tE5d4frusSc1h1BRNqP9EB6cuaIWz+8VdUL+8mUKXDSSRCLwemnQ2LyGRERERHZR5Rc6ETWRCKURKP4DYNnhg3jlG7dOLOoaJ9e85Ru3Ti1WzdePfBACgKBfXqt1hbW1TH8s88Y9tlnRJVgkHasefXCn+b9KdXhdAmGAY8/Dt27w7x53lSVIiIiIrLvKLnQiTRVLYzJyOD73brx8ogR5O7igIx7qn84zEsjRnBIdvY+vU5rr5WVccisWSxuaGBFYyOl0ehO93ddl42RCK7rfuV+/96yhb+Vlu7NcKWLaz72gqoX9p/u3eHJJ73tu++Gjz5KbTwiIiIinZmSC51IU3LhkGYDOHY2LnDPmjV8Z9685CCSX6U8FuOUhQvpOXUqv1u7dof7rWho4Li5c/nu/PmcsnAhZbHYXopaZGv1wrLyZape2I+++104+2xwXa+rRE1NqiMSERER6ZyUXOhEukJyYUVjI1etWIELnNejR3LMhx15t6KCUZ9/zt82bwZgUX198r1XNm9m6PTpXLp0KXeuWcOBn3/OWxUVgJfEqNccdrIXZQQyuPLQKwHNHLG/3Xcf9OsHK1fCFVekOhoRERGRzknJhU4i4jjMSvxJrjMnF8C7aX8/aBCPDxmyzQ3cYNv84uijGfLCC/wgL4/JX3zB+mi0xX6bolFOWbCAkxcsYElDA79fv55rVqygwXH4Rk4O1j6I2bYbicf1J9Ou7qIJF5Efzmdp+VL+PO/PqQ6ny8jK8qanNAx46in4979THZGIiIhI56PkQicxp7aWqOvSze+nfyiU6nD2uqLEYJHZlsUbo0ZxSe/eGK2qFhbU1TFh1iweHD+epcXF/D0tDYCf9+zJtX36ADC9upoRn33GXxOVDE3yfD6eHTqUd0eP/spqiN0Ri1WwcuXNfPppEdOnD8S2G/bauaXjyQhkcOVhieqFj1S9sD8deST88pfe9rnnQqsfASIiIiLSRkoudAJvlZdzxbJlgFe10PqhuzMYEA4zc9w4vpwwgWPy8rZ5/+mSEg6eOZP5dXUt2v914IE8OmQI6aZ3qy+or6csHmdMLMYnS5dydFkZ5xoGX06YwJk9euy1r53jNLBixa+YNq0vq1f/GtuuIhbbTCymgSK7uosO9qoXlpQt4aX5L6U6nC7l1lvhwAOhtBR+9jNvHAYRERER2Tt8qQ5A2ibiOBw7d27ydWfuEnFQZuYO37t51SoAjsnN5YpHH+WTaJQL58+nqL4eSkvJOOIIuOQSAtEoN77wAle/9BJ+2+YtgPR0mDsXBgzYa7FGoyWsWfNbvNOPpK5uAaDpMgUyg5lcediVXPvutdz64a2cduBpWOa+6IwjrYVC8OKLMGECvPKKt33GGamOSkRERKRzUOVCB7eo1V/qO3NyYWd8hsGdAwbwxqhRHFtdzS3PPkvR55/DggWweTNn/Pe//O6RR5hz9dVcP3s2/iOPhFNP9f6MWVcHZ50FTtsf/i0rI7mdkTGGESP+wfjxczDNQJvPLZ3HRQdfRF44T9ULKTBmDPz61972JZfAmjUpDUdERESk01DlQgc3t1Vy4eCd/HW/MzqxoIDF9fU8MXQoE5sSK/fcA5MmeaO4de8O3buT3b07V+Tng6/VLb9iBYwaBR9+CL//PVx22Xavs7S+nrl1dZyYn4/P3HFOLi3tAIYNex6/v4C8vG91yi4q0naZwUyuPPRKrnvvOm758BZ+dOCPVL2wH111lTeo49SpcOaZ8M47sJN/1iIiIiKyC/TrVAc3t7Y2ud3N7yez9cNzJ/eXESP44uCDtyYWAHr29DpUn3YafPObMHIkFBZum1gAryvE737nbV97LSxe3OLt9ZEI5y9ezPDPPuMHCxbwRnn5TuMxDIOiojPIz/+2EguyUxdPuFjVCyni88ELL3g9ot5/38srioiIiEjbKLnQwTWvXOiqXSLa7Pzz4ZhjoLERpkxJNt+8ahWDpk/nyY0bsRNtFfG9O7q/62ochq4qM5jJLw/1pi+49cNbsR37K46QvWnQoK15xWuugYULUxuPiIiISEen5EIH17xyQcmFPWQY8PTTkJ0N06eD7T3kPVNSQqPjcHhWFsMS01ruDbbdyMaNzzFjxng++iiT2tov9tq5pWNpql5YXLaYlxe8nOpwupzzz4dvfQsiETj9dIjFUh2RiIiISMel5EIHVhqNsqnZb8NHZmenMJoOrnfvZG10dlUVACPT0/nPyJF8NHYsfYPBvXKZ1at/w9SpvVm8+Cxqa2fiOPXU1s5Jvu+6Lo2N63A1R16XkBXM4opDrgBUvZAKTXnFvDyYNcubqlJERERE9oySCx3YvGZdIq4qLuZwJRfa5vTT4cQT+c+11/Kvp55i9rhxHJ+fv1fHTti48Sni8TKCwT4EAr2S7bFYGWvX3s/nnx/ItGnFrF171167prRvl0y8hNxQLl9u+ZK/LPhLqsPpcnr0gMce87Zvu80rXhIRERGR3afkQgfW1CXi5IIC7ho4UAMItpVhwOOPc/DSpXznj3/E2rhxj07juu42lQfBYF8AcnK+yYgRr3DIISvIyBgFwNq19/Dppz1Zvvxy6uu9jt/19V+24YNIR5IVzEqOvXDLh7eoeiEFfvhD+MlPvB5Rp58O9fWpjkhERESk41FyoQNrGsxxVEZGiiPpRAoLwe/3tp3dG2xxSX09lyxdSvbHHzPly5bJgYMO+oSJE1cyZsw7dOt2EoaxddrBurr5uG6UjIyx5OZObvNHkI6nefXCXxf+NdXhdEkPPgi9esHSpXD11amORkRERKTjUXKhg1kfidCYGHCwqXJhVHp6KkPq0lzX5e3yco6fO5ehn33GQ+vXU2PbfJwYtyHuOPxzyxZO/nIDP1lei9OsoiEv79sEAkX06PEzxo2bwfjxs8jNPTpVH0VSKCuYxRWHemMv3PKBqhdSITcXnnvO2374YXjrrZSGIyIiItLhKLnQgcyvraX31KkcOWcOccdhgSoXUuaL2lrOXLQI84MPOGbuXF4vL8cADkp8L+ptm1+vWkW/adM4af58/lNWxitbtrAuEkmeo3fviznssI0MHfoYvrQxvLRpE88kumIsVV12l3PJhEvICeWwaMsi/rbwb6kOp0uaPBkuucTbPussqKhIbTwiIiIiHYmSCx3I0yUlAHxeU8PShgYirku6adI/FEpxZJ3UdmZs+LCykqPmzGHMjBk8v2lTsv0XvXqxZMIEHhkyBIBNsRg3r1rF+miUbn4/TaNhND+j67p8XFnJeYsXU/Tpp5y2aBGLG+qTx0vXkh3KTs4cobEXUueOO2DoUNiwAS66KNXRiIiIiHQcSi50IBua/dW7abyFkRkZmBrIce8KBLz1SSfBp5+2eOvpkhLer6zEAk7p1o3fDRxI5de+xgODBzMoLY2CpvEagEnZ2fx5+HDWHnooQXPrP7UVDQ3cvHIlg6ZP54g5c3hq40aqbZs+wSDFgb0z5aV0TL+Y+AtyQjks3LxQ1QspkpYGL74IlgV//jO8/HKqIxIRERHpGJRc6EA2RKPJbY23sA899BDk5MDs2XD44TBlCnmJcS6yLYuriotZccghvDxiBFcUF5Pt8yUPHRgOM/2gg1h08MH8b+xYflRY2CKxcNL8+QycPp1fr17NisZGMiyLs4qKeH/0aFYecggHqotLl5YdyubyQy4HvOoFx929QUVl7zj4YPjVr7ztCy6A9etTG4+IiIhIR+D76l2kvVi/ncoFjbewD5xxBhx3HFx3HTzzDLzwAg+8+y4/uPZajrEsMmbNglgMotGWS6JtQjwOP/oRfPOb25x6Tm0tBjA5N5cpRUWcVFBAurV15giaSuGdbbtktBZzHBxokbyQju8XE3/BfdPuS1YvnDLilFSH1CVdfz289hrMmAHnnANvvOHNVisiIiIi26fkQgfSvFvEvETlwkhVLuwb3bvDU0/B+efDxRfT7fPPOfnii3f9+E8/hQULki9/WljIrJoaTu3enZ8UFtIrGISyMvjgA5gzZ+vyEwsmAiuWwzWTYNIkOPJIOPRQSE+nPBbj9bIy/llWxpvl5WRaFssnTiScSFA02jYNjkNus+4Z0rHkhHK4bOJl3PzBzdzywS384IAfYBpKIO1vfr/XPWLsWPjvf+Gxx7wqBhERERHZPiUXOpBIswEGVycSDUou7GMTJsC0afD88/Cvf4FpemMyNC1+f8vXmzZ5SYmGhq3ncBye9Plg9Wr45z+9JMIXX8Datdtezx2dWLvYH3/MtPJy/rVlA5/GpvNleAgVdKP5MH+1ts2MmhoW1NXxWnk571ZU0OA4zBg3jnGZmfvyKyP70KWHXMp90+5jweYF/H3h3/nhiB+mOqQuadgwuPNOuPRSuPJKbzaJwYNTHZWIiIhI+6TkQgdWHAzqL9T7g2l689KdddZX7zt9updcqKz05rRrSiTU1Gx//wEDYMyYrUv396DhCyp65/Kjt65kpDWVr/NHvkUjXzKUC3iMA9PTOTE/n7vXriXquhw5Z842p51XW6vkQgeWE8rh8kMu5+YPbubXH/ya7x/wfVUvpMjFF3t5xXff9XpMffQR+PR/ThEREZFt6FekDqLO3nZaOg3m2A41jX9QUeENDNkkEIADD2yZSBg1CrKzWxxuzJ0KDXAwH3Gw9VGL9/rXrWfZURMZGA4D8KfSUlY2NmICh2RlcXx+Pq9s2cKMHSUypENpXr3wj0X/4AcH/CDVIXVJpgnPPgsjR3pFTHfe6Y3HICIiIiItKbnQQTQfb6GJBnNsh8aMge9/30sujB27NZEwdKjXheIrjMjqTXW5t+2EDqBP95NJK7FZEr2drIaGZGIB4LWRI1lUX8+knBzyE+f+pKpq738mSYmcUA6XHXIZv/7g1/z6g19z8vCTVb2QIsXFXq7w9NPh5pvhW9+Cgw5KdVQiIiIi7YuSCx1E82kom6hyoR3y++Fvf9vjw8f2/RnlmX1JSxtOODwAgOpNz2533+Hp6QzfT/eA67oYzYbKt+16IpF1hMODMPTAu89cdshl3D/tfuaXzlf1Qor95Cfw6qvw9797SYaZMyEUSnVUIiIiIu2Hngo6iPWqXOgSDMMiP//4ZGJhZxoaVhGNbvnK/Wy7kfr6Zbius0sx2HYjVVWfsnbt71iw4Id8+mlvPvjAZOXKG1m69BJmzBjPxx9n89lnQ1mz5g4AotFNbNnyH1avvo2qqmm7dB35ajmhHC6deCkAt3xwC84ufg9l7zMMb8aIwkJYuFBdI0RERERaU+VCB9G6W0TAMBjSrEReOr9YhkNp6V+oqHiHiop3aGxcic+XyyGHrKK+fjGVle/z/Zp/cSKlpFdfxsrGTVRWfkB19TRcN0L//rfRt++1Lc7pui6NjSuprp6WXGpr5+C6sW2uv3r1rdu0rVx5PRs2PEEksjrZlpY2ggkT5u/9L0AXddkhl3H/9PuZVzqPVxa9wvcP+H6qQ+qyCgrg6afhhBPgvvvgO9+Br3891VGJiIiItA9KLnQQrbtFjEhPx2eq8KQrcUIuCxee2qItHq/g44+3DgqZrHfYeBGraWnG5s/Jz59PdfUnVFZ+zJaKt3Bipdu9lt9fSFbWIWRnH0pt7Rw2b/4HGRljk211dQuSyQYvsWAQDPYmElmLbVfvnQ8sAOSGc7l04qXc+uGt3PLhLXxv+Pc09kIKHX88nH8+PPEETJkC8+ZBVlaqoxIRERFJPSUXOojW3SI03kLXETJ7YEbACUJ6+khycyeTmzuZhQt/jG17AzhaVjY5OZPYUP4eQbeWMvKYwxi+YDT9WMXJvEJ+7SvMmPHKNuc3DD+h9LFUB8eyxDiArKxD+GnxwS3GWGgtFqvAcaL4/blkZk4gM3McDQ1LmTlz/Db7RqOlGEaAxsaV1NZ+QW3tnER1RJQRI/5KMNhr732xOqnLDrmMB6Y/wNxNc3n1y1c5efjJqQ6pS/vd7+Cdd2DFCrj0Um82CREREZGuTsmFDqJ15cJIjbfQZQSMPA45BdzMMMFzvgfDh8MBvRk17BVqIvPJzj6MjIwxGIbFX1eu5L7V80nz5fL13FyOyc6mdstLUOklFRoIsYjhzOdAaslgIQcQD4xkca0LtYkLbqnn6MIoEddlRk0Nn1dX0+g4/KZ/fzJ83o8Mvz+XgQPv2G68kchaVqy4ntra2dTWziEa3bjDz7Zy5Y1kZo6nrm4edXXziEQ2MGjQvRQUnLhXv4YdXV44L1m98OsPfs1Jw05S9UIKZWTACy/AkUfCc8/BiSfCSSelOioRERGR1DJc13VTHcT+VF1dTXZ2NlVVVWS141rW566YQ7/7Kll2ahrnvjSBAdOmsbKxMfn+W6NGcXReXgojlP1m9Wro12/bdtOEyZPhjTe87YTyWIxcny9ZeTCtqoxrvngOw5dPcc44Ds3Oo5vfzw8XLmxxuqHhMIsbGnYYxh+HD+fHhYU4rsvKxkbWRSJMyMykJBplTm0ty8qmcXDJd3d4vGVlkZk5joyM0ZSXv0V9/cLt7ldY+FOGD39xJ1+Qrqm8oZx+9/ejJlrDP075B98b/r1Uh9TlXXst3HEHdOsG8+dD9+6pjkhERETaq47yHNoWqlzoAFzX3WZAR80U0YX07QszZsAHH8CiRd5Q9QsXQmUlvPUWrFnTIvmQ5/e3OPyQ7HzeP+KKbbo5PBCNUhmPMzEriwmZmeT6/fSdOpU1iXvNZxiMSk9nQzRKSTTKz5Ys4bENG/iitpZq294mTIswv2EihUY1hxV9jYyMMWRkjCE9fQS2XU8gUJSMYe3ae1m+/CqCwZ6kp48kPX0kjY0r2Lx5z6fx7Oyaqhd+89Fv+PUHv+bEYSeqeiHFbr4ZXn8d5s6F887zpqrcSW8iERERkU5NlQvtVPPKhZNfHEv+J58k3+vm91N6+OEpjE5SznUhPR0aGqBnT8jPh5wcb8nO3rrd9Do3F4YNg6FDwbfjnOKsmhpm1NQwJiODUenphCyLk+bN459lZTs8JmAYjEhPpygQ4I3ycnJ9Pt4cNYr5dXXJZWA4zCODB7dIcDhODNPcmgjxEg6/3Gnlguu6RKObaGhYguMrZB29WNrQwNL6epbW1zOvtopTi3qxORplSUMDSxsa2ByN8uDgwfyw2Z+VXdfFMAwc12VjNMryhgaWNTTQLxTiqNzc5H4Ntk3cdcncyddsf1L1Qvszbx6MHw/RqDeTxNlnpzoiERERaY86ynNoW7SP35hlp5oGc0w3TY7Oy+PYZg8/0kUZBhx8MHz4IWzY4C27IhyGUaNg7Nity4EHeu3AQZmZHJSZ2eKQy4uLAegfDjM2I4OxGRkMSUtjRk0NWZbFsLQ0/KbJzJoa3igvpyIeZ+KsWS3O8XZFBf9XXEy/xHUqYjHirku3wLYhVlS8z7r1j1JSs4Cq2i+xG+YTsDdRFxyNP7qcgFub3PcffI9cKujFer7POk7G4JLlD7Jy67wZAJyycCEXVVayLJFEWJ7oYhQyTRodp8W+x+XlUWvbrGhoYEM0is8w+GTsWCa0g/8J5IXz+MXEX/Dbj37LLR/ewknDTtrpwJuy740cCb/5DVx9tTe44ze+Af37pzoqERERkf1PlQvtVPPKheJHBnHc3LmMSk/ni4MPTnVo0l7E495w9VVVXheJpnXr7cpK2LzZ6xReV7fteSzLq2oYM8ZbeveGxkavKmJnSywGgwbBuHEwbhzlxcX0nT6dWtumKBDgwPR0DkxP5+H164m5LpNzc4k5Dovq6ymNxQA4p6iIXL+fxfX19K56ilPiv//Kj+1gYLLjH1ufhM7FTv8aA8wS1td8yZbGUv7GD1jF9p/4LKBfKJRMOGzP40OGcHphIasbG1nV2Mi8ujp8hkFVPM6qxkZWRyKsi0Q4vbCQG5t1UYk7DqZhYO7FBEBZfRn9H+hPTbSGV059hZOGnbTXzi17xra9pMJHH3mDPL73nvfPSkRERKRJR3kObQslF9qp5skF675izl68mOPy8nhj1KhUhyYdlePA0qUwe3bLZcuWvXP+7GxqJ06kceRICvr08RIPgweTt2kTFfH4Vx4+kGXcxnXE8LOGPmygD42BAWRH52EE+uILDSY7fTi9MofSv+5lQnXvkBkeSFraYMLhIaxdezdVVR/t8PyrMs+iwNlAhr0WN7oeJ+80+g28lz7BIH7T5JXNm3mzvJy+oRADw2EGhEJcv3Ilb1dU7NaX4Ufdu7OmsZE1kQgbIhEGhMPMGz+e0F582rz+3eu57ePbGFM0hlnnz1L1QjuwcqVXFFRbC3ffDVdemeqIREREpD3pKM+hbaHkQjvVPLlQckd3bli1irOLinh62LBUhyadiet6XSrmzPGWpmRDOAxpad56R4theANLzpzpjWjXatDRJk8ffzxvfuMbDDEMhmVnM7xvXxb068fvKiroEQgwLC2NoT4fA22bNbW19IlGGdrYSJ/aWszaWqip8Z7Ymm/X1HjxjRvndXgfMYJV6+9k1aobMAwfodAAwuGBlJe/scOPHgj05LDD1u/0y3PJ0qU8tH7rPhmWhQlU2zbH5ObSLxSibyhE1HH49erVOzzPooMPpsDvZ12iwsFnGBydl4dlGEQdhw2RCDW2zYj09F2qciirL6PfA/2ojdby6qmvcuIwTd3ZHjz9NJx7LgQC3hisI0emOiIRERFpLzrKc2hbaMyFDmBDNApAr2Bwu++X/rUUu8amx9k99mdY0hkYBvTq5S3HH7/n54nFYMECmDULFi+GZcuSyzmvvcY5r73WYvfxwJSCAi8hUVvrJTnaIhik35gx9DrkLHz9DsQYOBgGDqRx7AMsXXNlIuHQn3C4P64bZ9myy3Z4KttuJBrdQCSyjqsy1nBinwi5BSfTP5zRYorP5tzEoI9rGxvpEwrRJxikTyjE5C++oMa2Gf7559u9Vje/n82JLiIAN/Ttyy2JDvuO61IRj5O3nWvmp+Xziwm/4LaPb+OmD29jTN9jCJgmPXbwM0L2j7PPhn/+E/79bzj9dPjsMy/RICIiItIVKLnQATQN6NhzO7+lNq5pZOGpC8GAgu8V4M/1b7OPyD7n928ds6E514WNG7cmHpqWZcu27Y5hGJCR4S2ZmV+93rLFq5qYMcMbY2L6dPzTp7c4ZcgwGNmrFxQXQ08DekapGQSMgmh0A6v/ezoRq5yIWU7ELCPCZmJUtjiHD+iTmUte1snNPpaD0WwaSMMw+GVi4MvmBoXDzK7dOgBld78/Od4E0CKxAHDr6tW8WV7OhkiEkmiUpgk/Hxg0iNJolNJYLLkuSTseDj+cL3xp9Et87v+NGcOknJxt4pD9wzDgySe9MVK/+MKbqvK221IdlYiIiMj+oeRCB7CzyoWNz2wEF3DBiWwd9T5WGaPmsxpyj85Vf2xJHcPwpsrs2ROOPnpre1UVrF7tdW1oShikpXn77y7H8Qa2nDHD69qxfPnWpboa1q3zlqaQ+gPPeNsrg3/Y7inNRghuhlgOxDNhwYLvk7u6O5HuJtFwHbbRyJAhj9Gjx87nHXx/zBgW1NXRMxCgRzBI0DQpj8X4b3k52T4fvYJBegUCvF5ezpQvvwTg85qabc5z6bJl27+AL63Fy0V1dW1OLriui21XE4ttwTCChEK923S+VGmabnRvnctx6nGcCH5/3nbet4nHq4nHq0hPr+KZZ6o577w+3HlnX044AQ47DBwnjm17+8TjVclt264jM3MsrusQj1cmliqysw8lFOq7V+IXERER2R+UXOgANjRVLrRKLri2S8kzJdvs70Qd5hw5h7p5dYx+bzS539DUldLOZGd7o9/tDabpDR45aBD86Edb213Xq25YsQLWr09O2Zm+fh1Fc94lkl5HsNJPsMJHsNwiWG4S3GIS3Oziq3Iw4jYLLyin9Ajv319F39Jm54aK5y6h6A/3YOenES3yEc2zyGjoiS+QAxkZOBlhQjkwcdRhWEefkDw01+fjR927YRgmtl1HNLqWbwU38GKvEupC4+kRzqFHIEBRIMC1K1awLhKheyBAd79/m7XfruOopw6ifsBF0O3I5DXq4nFKG8uoi5RS7KslFttCLLaZWGwL0WgJkcgG0tKGtmhvvrju1oqKUGgA6ekHJvdtaFiGYQTIyTky2RaNbsJ1Y/TqdXGL8zhOIwMH3ks8XkEsVkYstoW6unmkpR2A4zQSj5cRi5URjZbSvfuppKePIBYrJx4vIxrdTCDQnXB4SLOH7u0vNTWfEwr1xbIyEseXY9s1ZGd/jW7dfthq/6rtnKOcXr0uwbbrd3gNknUkkJV1SDJJEI9X4TgtZ2HJzISXXoKqqnxKSwN8+GEVjlO/W7d1WtpwJkxYuNN9vCGT3BZVNCIiIiKpogEd26mmAR2XnBrmgp834AAbJhxCw20byP5aNvnH5VP2ehnzjp+XPObQjYcSLAqy6pZVrLppFQDD/zScwtMKU/MhRDq4urpFbFz3BL7SWoJLKgnOWkOF/wvWnuQlHMwGcMItj0lfDtFcr+qBxDNfbvokbCtKNFpCNFqC4zRs93rFxVcxcOBd27Q7Tpx4vDzxIL+5WVJgMx+s+CfLolFyQgFyqCSHajKpIkBsO1eQfck0Q1hWNrHYpp3sE8bny8aysolEVuM4jYCJz5eDz5eDaQapr18EQJ8+1xKPV2PbVcnKiK0VD94aTA488O+kpQ3Dtuuw7drEUtdqXY1lZZGePgLbrkmct5pQaADdup2E48Sw7ZrEezXYdnWz7RpcN0Ze3nGYZji5n23XEgoNAGhxrOM0YFmZyX22XdcSj9cQjZZg21WEw4OSbbZdS7duP6BPH023ISIinUtHeQ5tC1UutHMNjoMDWEDsyc2s+e0aAL7ufp2NT27cZv+6BXWs/s2OR60XkV2Xnj6cQUPvg6HAEcA5YJf+DRb+ENg2sQBQN3Dbtoq6D3Z4DdMMYxgBbLuKtWvvpqFhaSKBUEo0uhHbrgUMvP5P2+prQt/Q9s/dQIhKcqgiO7k+mM/5gtFUk00l2VQ1W3KC3akmhzXxNCx7E9/iDRoJUU0WleTQSIjRfNHifFVkcwxvYWFTRTbVZFFFNj/kr+RTRlFaLyxfHnErj1hkDaYZonvGYAL+Any+fGKxUtatu49AoBd+fx5+fz6WlUVZ2b8IBnsnHrpzkw/frRfXtYnFygiFivH58vD783CcCKtW3Yxh+Jvtmw1WNiF/Xou26uqp1NUtxO/P3+E1vGRABhUV72DbdcnkgM+X1WLbNL1xcaLRUqqrpzNvXibnn59NXV02Tz2VzXHHZWGaLcfFcV0bMJNdOBob1zBtmtcdYs2a23d43zQ3b94JX71TO1ZdPa3F65qa6eTlHdMsUVJLPF5NMNi7RZvrRsjJ+SbgYNv1OE59q3VDYruB3Nxvkp19aGo+oIiISBeh5EI7V2d7pbhFgQBlf986AF5kY4Qt/241IJ4NX57zJW5s+w8hruvSsKSB8OAwhtn2vsiRjRHW3rWWzX/bzKDfD6Lb97q1+Zydjeu6RNZEqJtfR7B3kIzRGS3ewwHD2vq9cB0Xu8bGl61/mu1VQbeTGTv2Y1zXIRDoQTDYA8tKp6LiXSKRdQQCRcml/uazqVz/Ov5KCJRDoAL8lRDLAv9F1xI4+5dYoTxKSp5l8eJzANiy5dXtXNX7N+09PHfD7y8gEOiW2O7GGyun8+q6ZWSGe3PrN+6kMNyDWjOXny1dQ9R1KfD76eb3YxkG31/fcvrNTMuiJvFzhhazifbiac4FvAKMPL+fLbEYnzMBgKBhkO/34zMMHoxsnSLXAHJ8Pt6JJ8bY2E5vgH/2O5DvFhQkXw8adC/gzZBRa9tUx+OYA2yq4nG2xONUxeNUJdo3RqMcFM6gMh6nMhKnMh5nbl0dA8NepqcqHqc6Hqba/R3VsTjVDd55qm2beKJQ75s5OVTZNpXxOFXxQ9gcG8fRubnUN7XZNusiEU7plk2PgJ9qu4aqeAUV8YH8qHt3RvnTqbVtahttb21HqLVLEtveMqu2J18rzib4qzjLVjbwvaU1HF1k8fiIwS3GzzEMq8XXJhTqw4ABd1Ffv7BVAqPl2ufLorT0L6xefYv3PTLTsayMZsvW16YZprT0j4TDgxLHZyUTOK151ReZWFZmYr9M6uuXtKjGMM00TDOQ6C7i3SHe/plEIuvw+wvw+XIS58nYZu3zZWIYPurqFpKWNix5rG3XsXz5LwGYMWP0tjdOG2zY8CiHHLIykXSow7br8Pu74/fn7NXriIiIdGXqFtFONXWLeOdEk99e5jAhM5O7DqnFjXvfrv639WfldSvJOiyL6mnV4ECfa/qw5o41WFkWwV5B6hfVJ7tFOHGHxWcvZtOLm+h/e3/6XrN7A4W5jsvmv22mdk4tRWcVsf7h9Wx8fCNOozeIZI/zejD0iaHJ/euX1RMoDODL7JwPybGKGLVf1NK4spFQvxCRNRFq59ZSN7eO6unV2DU2WYdlUTe/Drt6a1/tvjf1JbIuQv3CeuoW1mFX2XQ/rTu4ULeojobFDTiNDoMfGUyvC3oB4MQcohuiBHsHMSwDu9GmcUUjDcsaCPUNtUhYSDvU0ACrVnljP6xYAb/4Rcv3c3OJ9ylg/YkO7tHfwN//IAKB7vj93RJ/ec9KPKzlY5rb//e0uW4z/R/oT12sjn+f9m9OGLLjv2SXRqOURKMU+P3k+/0ETZMl9fV8UlVFrs+XbC/w+2lwHDIsixyfDzPxl/WmhGeaufWv7ZWxGKWxGPl+Pzk+H5ZhcPzcubxeXg5AyDTJ8/moisepc7yfGcfn5VFlew/+TUu1be+gPqPzCBgGpxcWUmPb1CQSHtf37bvHA3E6ThTD8O3RuAuOE6OhYWkiEZGVSERsf8Yh267DdeNYVkYyIeK6No7TiGmm7ZXBMx0nzpw5R1JXN69FoqS2dg7BYHEiYZGRqCJ5GyARdxqmGcY00xLbacm2aHQT1dWf7PCaQ4c+jWmGExUOdUSjpWRmjgNcbLsuWfmQk3MElpWdSEx4+4KLaYYSFRIN2HZDcvurXruuQ58+V5GTM6lFPN7goZFmxzViWVkYhtXsPPVYVjrh8IA2f81FRGT/6SjPoW2h5EI71ZRc+Nd34L4r4Hs5+fxibFny/dCAEI0rGhn67FAWn7OYZN8JG4Y8PoTSl0upfK+S4X8aTrcfdGPRTxax+a+bAehxfg+GPr41EdC4uhF/Nz9WmvcLY/Vn1Sz/5XIAxnwwhop3K1hxzQpqZ22dUq+JlWlh19j0OK8Hg+4fROlLpWx4dAM1M2rInZzL6Le9vz7VL6un9KVSfJk+el/afkafj1fFsbIsDMPAdV0aVzdSO7uWYHGQrPFZuI5L48pGaufUUvtFbXIdWRP56pMnGH5jh9UkO5N3fB4NSxpoWNaQrIgP9gkSWRtJvjaCBoeVHIY/R1OQdhj/+Adcfrk3wGQ8vu37o0dDIOAtweDW7eZLVhb06QN9+3pLnz5cM/de7vz0Lsb1GMfn532e8lliXNdlUzRKjs9HyPJ+tpz75Zc8XbLtILSt+Q2DbJ+PLMsi2+fzFsvijfJyDkxPTyYxcnw+SqJRgqZJn2AweUzWDtbTa2rYFI0mz5ft87EuEmF9JEKe359sXxeJ8Hp5OQWJtizLoiQa5ffr19PN7yfDssiwLDIT69bLF7W19A2FyPX5yPL5qNpocVfNcvBv/+dAtmXx3LBh1DsOdbZNnW0nt5Nr22ZwWho39u2b8u9tR2LbDUyfPpBotHk3wsT/LNuBUGhAMonQtN6dY/Pyjk0mLmy7moKCk8jIOKhFciIjYww+X07ytW03EAgUYlmZLfYzzTCBwNYKRMeJ47rxRGIjgutGW6wdJ4rrNq2jBIN9CIf7A96//6aBYZu6C4mIdHUd5Tm0LZRcaKdaJxeuryhg8sktu0FYWRaHbTiMj7I+8pILQM7Xcxj97mi+OPoLKt+rZOizQ9ny6hbK/rk1MdGUXLAbbVZeu5J1968j99hcDvjjAay4dgUbn9qYfHhNG55G/aJt65qzDs+i3839qJ5WzaobVnnxZFvYVVt/YbMyLfr/pj+b/riJms+2Tq93WOlhBLol+iZvihKvipM2pOWUetvj2m6yC4HdYFM9vZqqj6sI9w9T+JOvHrQyuilKzcwab5lRQ83nNUQ3etN85nwzh9pZtcQrtj7spR+YTuOqRuzanf8S6sv1kTE6g/RR6aSPTKfy3UpC/UOkj/Repw1JY+WNKyl/rZzw0DDpI9JJPyCdyLoIW/61hfCAMGnD00gbnkb1p9WsuWPNV36WpqQOwMSVEwn3Cye/LpF1EW9Zm1jWRYjXxOlzdR8yRqnKod1wHKiogE2b4Nln4Z572nQ6NxhkYyDK5jSXXv1GUdBnKOTlQSgElgU+37ZL83a/31u2l8xoWvx+L+HRvbu3mLv31/J1jY38qbQ0mTzYXgIh2+cj1KwqorO4/J567l++gYDf4NJzffTOs3i5tJRPq6t36zzfyMmhOBikNpGEWNLQwLF5eeT6fDQ4Dg22TaPjeNtNSyJJkWVZnN+zZzKBUec4+A2DY3JzqWuW2MiwLI7KzcVKfA9c18V2XXy7+f1uL2y7kVhsS6JCIx3TDLBu3YNs3PgUphnGstKwrHRqambiug7BYM9E9UM6kcga6uu/BKzE8WmYZojGxlUEg70TFRPhxHnCu/S6uno6paV/2oXITZL/c0+8tqy0xDgs+45lZWDbDexpAsY00xKD1m799TIY7JtIoDRi21UAZGdPSrY5TgMNDUvIzT26WVsjoVA/Roz4K6a57VTcIiIdTUd5Dm0LJRfaqdbJhac/ymfAjWUt9ul5QU+GPDKE/1n/AwfMkMn4eeNJG5TGnG/OofK9yuS+RtAg+7BsKt+vpMf5Peh1YS8W/mQh9Qu2Jg58+T7iZdv+JdUIGPS6sBeZ4zMpe62MHuf0IOeoHAzDYPVvV7PyVyuT+4YGhMg+IptNz7caLb3Z70gjXx9J7axatvx7i5d0cOGgaQeRNbHl98Ous6n6pIrK9yupeL+CmulegiLrsCxqPq/ZWg1gwuGlh+PP93tjHKxPPFBXxqmZUUPtzFpqZtQQWffV1QbbqzIwggbpI9LJGJNBxuiMZCLBn+vHiTkYPmOvPQhFS6OsumUVZsgkbXAa4SFhwoPD1M2tI7YlRniQ99pf4OejjI9w6h1yvpFDvCJO49rG7X7/mvQ4twdDnxyKa7tEN0WJboqSNiwNK2zt8BjZjxYt8hIN0ai3RCJbt1sv5eWwejWsWeOtN270pt7cn3w+KCqCXr28JS3Ni8FxvHXz7a9auy4YhpfssCwvabGj7dYJkObVHc23MzLg29/21u1APA5f+xpMnw6TJ8N//wvro438eNEiquNx0iyLdNMk3bKS22mW5b02TW5ctWq/x9zd76fecai3bRygbzDI2T16UJ9IVmxv3eA4lMfj3D1gAFHXTbalWxY/7t49WcUScxzirkvYav8/f5p+TdpbP+dd16W29gvi8fJE4iHULPkQSiYjvO4uBvF4DaYZxDD8GIZBY+NqNmx4DNd1ksdFo6WsW3cvfn9Bs+Ot5MwjTbxuHLteHbEtIxFLoNk6QGPjyq8+dA/l5k5OVGNEcN0IpplOnz7/16LKQkSkI+goz6FtoeRCO9U6ufDv32eS8UpNi33GzRpH5thMPgh8gBtzGXDXAPpc1QeAmYfMTD6Mm2kmI/81kqqpVckqAyNg4Ebd5LpJ+oHpDH5kMF9O+ZLGlY10/1F3+t/eP/mX8dYqP6pkwQ8XkHVIFr0u6EXu0bk0LG/gsyGfAZB5cCaFPymk26ndmNpj6g4/7/A/DCfr8Cwq36+k8r1KNv1hx1O5NQn0CCQrD3r8rAfRjVFqPqshWhLd/gEGpA1NI3N8JhnjMsgcl8nmv27GjbnJ1+kj0ql4u4Kqj6tIPzCd9NHppA1Nw/S3v7/YfVL0CbFN2043aKaZBIuDhIpDBHsHaVjZQNUH3l+Kgr2DRDZGWvxBqs81fYhsiBBZHyG6IUr6iHQO+MsBe+UXaddxva4naRbxmjix0hjR0iixzTHMkEn+t/NbDGi5L7iu2+7+Cr7XY4pGYeNGKtYuZcrTJ5BRHeH6A37GCF8P7714fPuLbW/djkYhFvOW5omM1q8bG2HLFi8x0BE89hgUFGxdMjK2JiiaJyr2w0PukiUwZow3DMfvfw+XXLLrx35UWcm/ysqSCYgMy2JNJMKiujoKAwFCpknYNAlblrdu9jpoGNy4ahVZiWRF0/JSaSlppkmWz5c879y6un32+QEyLIsG227xN/GJmZnJKos622ZDNMrBTW2J5MSGaJSBoRAOJNurbJtJ2dkMTUtLHh91HM7p0YOxGRnJCo5Gx2FEejrpHSCRsbc5ThzbrkkkHILJLoDR6CZMM5BsB4P6+sWA3SzBEcIbopVmiYTtj/viODHq6xcm9mk63k9d3QK8hEQosQQSs4OYzdpCNDQsafHaNENfOQtKevrIRPeMCLZdRVraCLp3P7VZt40I6ekjyco6JNF9w+vCEQz2IBDQFN0isv91lOfQtlByoZ1qnVx478wAxuqtD80Z4zIYP2M8AGvuXENkXYSB9w3E9HkPwZ+P+py6ed4viWM+HEPOETmsunUVq25clTxH/on59LmmD7MPnQ3AwN8NpNclvTD9JtHSKE6DQ2hHc9x9hZrZNVgZFmmDt3Z3mNZ/Go2rvL+Y5J+QT/538tn49MYWXSZaC/YJkvONHHKOzGHLK1vwF/jJPjKbnCNzCA0I8WHowxbJkebCQ8Jkjs/0lnGZZIzN6FQDTFa8X0Hl+5UEewUJFieW3kF8Ob4WD64lz5fw5Zlf7ta5847PwwyZREuiREuimEGTka+NJNgrSGxLjNjmWHId3Rzd2rZ563tN7TurrD3w3wdScEKBV3ZdY+M0OGBBvCzunbPMO19oQAhfto9YeYx4eTy5jlfEW7RVT60mfUQ6RsAgVhYjXhYnXulVc+QclZPcL1Yaw2l0KJxSSLwi7rVXxLx/R3cOJF7pvY5XxGlc0Uj+ifngemN02NU28aq4t121dTteHidaEiX/u/nEK+PJJbImQuaETOxaO9lmpVuMeX8M6SPS9+h7vzNXv301d396Nwf3PJjp507fN4mVeNyrsli/fusSiXiVBYaxdd18e2dr8KoXbNtbHGfH200JkOaVHa2rPP7xj93/TIbRsvtHUZF3nqFDv/rY3fDII3DRRV5vldmzYdiwrz5mf7Jdl88TXTWaqijirstda9YQc13SEhUVO1o/vXEjayIRMhNtYcviP2VlX3HV/ePwrCwaE8mGRsdheWMj4zMzcVw32baisZFcn49+oVCyrTwWwwW+lZeXbGtIdCk5s6ioxTm3xGKMy8yk0XGINGsbnZGBAV676+K6Lifk51MQ8LoIxh2HqOsS7oRdgvZURcX7lJb+GcPwJxIOQdasuZOWXUX2TNNMO02JiEhkLdnZk0hPPyA5hoRt15Cd/TUyMg5K7Oe1Z2YeTCjUp+0fUES6nI7yHNoWSi60U82TC89Pgb//oOX7Qx4bQs+f9dzh8Ruf2cj6R9Yz+KHBZB+SDcDa+9ey/HJvoMYhTw6hxzk9MAyDukV1+Av8yXEQ9pX6ZfU0rmwk+/Ds5OCR838wny1NU2xakDUhi+wjswkUBSg4sYBw/+1XTDRZeulSKt6qIOOgDDIPziRrQhYZYzIwg+Y+/4t4R+FEHcr+XQaGV7kQ7B3E383P8quWE10fJdAzQLBnkEDPAF+esXtJiN3ly/Xh7+4nWhJNjs8RKAoQK4vt0aCXHVnG2Ay6n9Y9mayw67yZQ4K9gl5bTRy7xk4uydfVNmkHpCVnE2mttK6U/g/0pz5Wz2s/fo1vD/72TuNwog52rY2VabXLCp09UlfnlQYsX+5VWTRf6uu9BIS9i/3JTzzRSzY0H5ei+bbfD9/9rtfnYRe4Lhx3HLz1Fhx8MHzyiXeKzsx1XRbU1eEC4UQSImiafFJVRb1tk9as2mJNJILPMJKv0yyLRsehNjEWRFP75liMf5eVkd6sbWVjI49u2AB4s3KETJNI4mG+vUozTRodp8Xj8ovDhhFz3a1LogtJ87Z1kQjFwSAh0yTqOMRcl2hi32iz45q2k/sk1msiEa4sLsZNvB/f3tpxqHccDsvKYmA4TCRxvqjjMD4zk6Lg/h8HwXEiVFb+D8eJYZpBTDOI40RZu/bOxBSpwWQXkpKSZwESyYkghhEkHt87iS6/v3uLhIPrxunX7+bEzCNRXDeGZaXTs+fP8Pmy98o1RaTj6yjPoW2h5EI71Ty5MGM83HLT1vfMNJPDNh6GL2v3/gofr4pT8nwJ+cfnEx6484f2/aV+ST2b/7GZjNEZZH8tu1NVFnREm/+xmfI3ywkUBggUBfAX+llz+5qWM4WY4M/34y/w4++WWBLJqabtpvZAtwC+PB/xyjj+fD9mwHt4XfzzxWx8fOMOovAGB/XnezOY1M2vwwyb+PJ8+HP93jqv2TrXhy/PhxtxiVfGCfYJevHl+zHDJhXvVGCmmfjzvDZfno/Nf98MbiLZkTjXpj9sIrY5hr/Ajy/Hhy/XR+3sWmKbYwSLg/iyffiyfVjZlred1Ww720flh5VYaZZ3bGKJbY5hN9jedbO9tpW/Wkn5G+Vt/l51/1F3fLk+7Fov+VA3v47MiZmYQZNZy2axZuMaihuLGWAOIG1YGnatjVPnYNfZycWpc5LT2wIU/rQQ13G9c9bZ+DJ9DH50MMGiIK7tYtfZuI67zewkTtxJVk0l22IOToO32A1eVYrTuJ22BofYlhi+bB9G0PBirLexa21im71xRux6O9keWRsh95u53vH1Xpsbdyk8rRBMvLYGG1zIPiwbM2h6sdR71/d39/qtY9vbdgNp2r7wQnj77d37hvj9WwfIbBojovmgmZblJTZuvJHNvcZw8hkZrK/J5IIrM7jq+kDLpEUHHTixPbATv9JYzf76P6umhi/r6wmZZrL7SHk8Tn0iYdHU7gJrIxFvhpNEmwm8U1FBRiIhEjJNgqbJ3WvWkO/3J1+HTJN3KioYEAqRnjhn0DSZVeNV5hUGAsn9vqitpXx7M8V0MD/u3j2ZbIg4DoWBAHcPHIjdLNGRbln0aJaEsBODgwaa3eP7asDQ7Y2VEYtVUFX1CYbhSyQiAsRiW6ioeAfLykyOIRGPV7J27T2EwwOTba7rUlf3xW7HkZt7NK4bw3Gi2HYtkchasrIm4jgxXDeG60aJRNZTWPjTxH5ee0PDMnJzj8J148m2WKyU9PTRWFZ64tgYYFBQcCLBYK/ELB3eLB+mGVIVjEg701GeQ9tCyYV2qnlyIZoOP3gJepzXA8NnkH1EtveLtMh+4MQdaufUYqVbXtIg19/mqpB4dZzK/1V6D/0F/mQyABMMy2jxF/T2OGZCW1R+VMmaO9ZgBkysLAtflo/6pfVU/LcCw29gZVpYmRa+TF9yu/nr9Q+u3+8xtx6bBSDQM7BNgsLfzZ9MHLSTmf62O+tg/9/0b5HcqFtQR/bh2VuTHjVRGmZsJK0wguWP40ZdnCg4MRc3Bk4MnDi4EQdnXSkZLKEHr+EQSCxBXHz4qWjR5qOeLObh4ku2A4TY3CI+1zBwTD+O5cOx/DiWH9fykVZVwvwTr8f1+b1eJSaYBhimgWm26nFiGs3eT6xDQdzMTMjIhMxMjKxMjIx0zKDfW0J+rKbtoB8rtHUxAn7v5NBy8NDWv0Ls6L2mWUkEgJJIhMp4nGCz5MSvVq5kUX09fsPAZxj4mxbT3LptGKxsbMRnGBT4/fgNg0Di/eQ6cUwgsX+g2fEB0+S1sjLK43FCifama/maXc9nGGyKRvlzaSm9g0GCiWPrbZvVkV2firlJ0DCIui7N75Z000xWXDTpHQwSbaq4cBzqHIdxGRkETTPZtjYS4cicHAaHw8kqi3izaosWr1u/77qUxWLc2K8fJl6ywwEc18VOrJ1Ee71tk+v3k+vzbT1XrByiq4ljEcNPDB/huo/Jrv8f3YIZuEYABx9u+QttvEN2n2H4cN2WSSuvwiKWTFoYhsmoUW8lkhPxRIVFBunpIzvV/2dF2quO8hzaFkoutFPNkwsHrDIZNM9h2PPDKDqjKNWhicg+sKtJlLLXytjyry1YGYnEQ4ZFtMQb3yLYM+i1Z1j8ZclfWDJ7CSU5JTQEGmgMNNLg99aN/kZ+fuTPqfPVUeOrIfxlmPyZ+dT766n31VMXqOPwfx9OXlne3vlwISDord2gixN0cIIOdsDGqDKwNlnEBsa8gT+DceygTfizMLUjaokH4sSCMaKBKPkz8qkrqCMSihANRIn6owyYPoBQXYhoOIoTdIgFYmSWZu6duPeTIKX04c84WLj4cbG8B5RW2/UUk8UCXPyJ5IQfF5Oe/BuLCA4+HPw4BAmyGTCTx7Zc+5Kvw6wnk6X75XPOypzEgqxDwUzMsGN54wt4iRDDa0+8Z1rNXpsGpgGW4WAaDj5sLMPBwsY0HCwS27RsM93Etuu9Zzatm2+7NgYOptts29naZrg2huvghtJwMjJxM7JwMzJxMzIxAn5Mw8XAxTS8xTBcTFqtXSe5X3J2lB0tsO14Jdt7vb33bBuOOAIGDty2aqZ1RU0bBjH9b3k5X9TWEkgkHAKGwVUrVlCZqMYwgUCiu0dXFaaew/kEH3Hi3h2LjUUxa6kkJ9kWx8chTKOREH1CGYmEhUWP+Hw2Oxn0DefiGj5sfKTFlhFwqigI98RnBQAfkcZlxBr2TnfGvLzjklUSjlOHbTeQk/N1wMZ1bVzXSWw7uK4NeGvTDNO37/UAyaoJy8ogHO6/V+IS6Uw6ynNoWyi50E41JRfeOA4mvwf+KExYOoG0QWlffbCIdHmzN85m8ouTqY3Wku5PJz2QzoaaDTjuLv7C70K/zf1wDIdGf2MyKVG8pZhwNIwdsqm1amnwNxCOhUlvTCfijxDxRYj6o0R8ESL+CFFftGnA+f0qtyaXcDTsxZRYTvn0FPpt7tcitoElAynNLqUh0JBsy6/JJxAPUJVWRcwXI2Z5S9yKE/N566gVxTEcrn/leqpD1UR9USL+CDFfjH6b+1GeXk6jv5Goz0uCDNk4ZP9/EXZR2JiLjyoM1wJ8RCkkxGYCVOFi4T0mW9tZfFg00IPXWyQvwCSTL3HxJfd1tnOsQ4gwa5OJETeZHAlg0Zi4rgnJGIxm215MGSyDRFrBTZzDO4/V7Pqt27ZeqynOpuvbpBOiJHF+r93AJZs5mMST+7lY+KkCjGbn9mNRj9luynZ2LuJLIxLMSi6xQAaO5SNZBtNqMZq2LW962OavDdMkEvTjMy2spioVv5/1ORnEAwEClknAtPBbFrXhANH0dPxpafjTM/Cnp1OXmU5lOEAw4CMQ8BMM+KnyG6zCJi3oJxjwEQr4KI1H+aS6ihyfD1+i2qJ55UXrpXX7XzZvZkMkQsA0sQDTMDATa6vZdmU8zoyaGg5IS9umosNvtKz0eHnzZvJ9PsKWtc01m++3JhJhbaLqo+n9aKvxNvZEOrVkUJtMYMTxESRCLhX4DT8R1yKCxQ/4C9/kXWwCyYRFvrvj7olt5Q/2oaDbKTiuk/j/jkPAAC8p4STXhuEjN+94HDeG7cSxXRvLbSQ9bWCia0vT/k3bW9tcN5Lo4hJqta+3/9brbP890wyRkzMJMBNVHzZgEAh036XPuPW8djLh0tTlRmR7OspzaFsoudBONSUXlg2EQcvBX+DnsNLDVLYmIrusdTWE67rc8sEtLC5bTJo/badLVWMVa6rW0C29G2n+NMK+MNPWTeOhzx/a7rX8pp+wP0zYFybkC7G6ajV+0096IJ2QL7TDZUv9FpaVL2NYwTCCVpCgL9hyvb22Zuv11evZXL+ZbmndCPsT165czSMzHiE/nL/TY4NWkNeWvsagvEGk+7fG+cHqD5KfyzRMQr4Q9bH63fraW4bV4loltSVk1mfiGi5RXxTH55DWkMbP3/o5WQ1ZxKwYtmUTN+PeYiWWxPaQjUPYnLWZRn+jl+zwxTjyyyPps7kPDYEG4r44cX+c3KpcACLBCLbPxvE5xK04dW5d8pxNiZID1x64B3eVfJVIcD22VYeBBa4JmOAaydeGa2I5YXzxLGrTl2C4ViKxY2E6Pgw7hOGaGHjtPidM1KrENWxvXyz8dia2WU8ksBHDtQg4BmmxIK4RI9uYgeGa4FoYyeTMVy8RuhOgnCClyaRMnDTiZJLJkmZVND581FDI24lzG5BM+Gzd3lGbTYAgm/FT2yxR1DyJ1Pq1t/bqUvzE8BM1AkQIEjOCRI0gMdLB8IFRg5G4HoaR+PwmYHjthrcN5tbXrgEE8AVWgRFL/Mw0MQyTuBkiZqUR94W9tRWmIc+hISdENJSVXOxgmlcYYrr4LDeRc9m6bnrPtFzvtWkk31+aHWdFpoPfcPHqEWBBpk295RV9+QA/Lu9lOmzey4O/hmjga3xMgGgyMQEwhjlUkNtU54OT+D7aXk0Qrlfbw2n8mRwqiRJIJjeyqd67QaaI39+d1omD1tuw/UeooqJzyMs7NrGPjePEyMgYhc+Xm2xzXRu/Px/D8Dc7r43Pl4Nl7f2ZpKR96CjPoW2h5EI71ZRcsE2wHMj/bj4j/zky1WGJSBe3oWYDtdFaQr4QYV84mVCwzD0rsW6vIvEIlmnhM7eOE7ClfkvyswetICFfCNu12VK/Jfm6KaGwva9HXbQOwzBavB+JR4g7cYK+YPJaUTtKRUNFi+SEgUFVpAq/6SdgBfCZvt1KNtfH6tlUu4mAFSDoCxKwAvzjH/9g+SvLMfyGtwQMtmzaQnpjOuSA4TMwfSamz/S2/Wbytekz6fN8H4wsA9fn4vq9pe+MvlRnV2P7bVzLxbEcXMsFH7iW6y0+l2BpkNzNuVRmVmJbNrZl41gORaVFbCzciGu6yaXWrsXv83vjZ5jgmi6Dlg7yqmrSG3EsB8fneNfybb1G04IP71jvKQ18UPBxAXWFdbgBNxl/1tIs4hlx7Gw7uV9gVQAzqgE2pSUfVYktI7l2W5RoGdikYxAjg+WJZAmJtZHY32x2nJHch8TDe4QisvkCk2hyXy+54yVNmpI2cUJEySfDXIjhuhiugWOYNAaCydeGC7Zp0uD0w81cieHamC7ELD/lmVn44k5yP1wDHB+2P0ZVt40YLhiuy7LiYjIaGrAcB9N2MR2Xjd0KKNwUp6J7dbJ92chcRgx8Db/ZCG4iTsfEtA2iPpPGoOEl3RyDQ3r/ndr67kRNC9c1cVyLPtkLqGrsju34cd3E18Y1E72GTKy4g+uaBPz1ZGZuoryqGNtsvp9BxO8ju64KN5Hcc1wDvx2l15ZSDAcMByoP2oc3SBv5nDQCdi6u4VVGxMwaCqOTyLAHgJH42WhAlnEAAV83XMsEv4Xrs8Bn4frMZmuTQLgXvpw+EAyQGGUEMDHNTj5VUTvUUZ5D20LJhXaqKbnQZMAdA+jzf5pXWUREZH+y62zsehvD7yVYDL8BLsTKYy3a7Fqb6s+qvXEiLCM5QK1hGWDRon3Twk3UW/X4Aj6sgIU/4Gdu2VxKI6WYfhNf0IfpN9lYsZHs+myskJW8lumYhNaGMIJeQsj0mRiOgfGeQSAnkEzoOJaDY3rbtmkn103tjukkXxt1BoHNAaLpURzLwba8mWHSV6bTmN+IbdrevqbD8D8NpzGnEddwcQ3Xu0arbcdwWm4b3na4JkzPFT0pKyxL7u+YTnJ/x/Bisg0b13BwDRsHb+1ie2vXxsBOjIdhE4z6yanqSXXmOlwc7zhc71jD9rbxrk/yvURpvOHQvXwEmXVFRALVuIaDY269NtiYro3l2liORWbN6FTfjtIGFTlQnu94CQYXcmrjWK5LeV4UHB+ua2LmlGPn1ZLeEMW1E5UtjkXepjBr+9ZiOCbYFjgWOVtCLB5Ri42B61pkFKxj4NdexgnEsE0T1zEJpFWRlb8O2/aD4yVAcA18wYYWsbmugWGk4JGsLMO7fiI5ZiZDaJY4K6jC2JzrtRmAa+AaBoblbt3PMHBDdRhGCLNxIJiuNwawFcMfHU2ocbKXxE4km80si2BOkfeNcFxcN1Gj5JLsBuPaDqYvk3DROAzDwMWrwGwKsfXrou5p+Kz2nQzuKM+hbaHkQjvVOrkw5oMx5ByZk7J4RERERDoi13WTff9t19667dg7bW/dZtfaxNbEcJr+cx1a/+e6Lnbcxl3mVdHYiQSHYyTeN1xs7K2JFzeRVGnWZpQaWBWW17WpKfnSbLENr93FJbQ6RCw9EZPRLK7EdtxxcHAJl4YT3axsbBzsRLzxxBa2jRWPEWyAwXOGUZ9e4yVlIJGgcb34m2332tCfqswKbDMOuDiGm0zuNB3pGA7BSJg+mwaxKXcdbiKB5BgO/UuGsqpwSTLh431+2zsyeS5v2/aHcQ0zuV84EmLI2v6s67axRXJq6LpBRH02junF45guGQ2BlN5/2+eCP5ZIVCQqWoKNMGKB97ZjekvvdXDcm9AQ3tqWWwHDvwTHSCQ/zK3rpqXpdXbn6KbCcq9qI7kAmIkRSxJt1UvGMuG8pykq3rUxM1KhozyHtoXmheoIfJA5vmONfi4iIiLSHhiGgWVYWFj4aUMpeDdgVydBOHrPL9O1bPuFap4M+qqE0Ah3xFcmiaJVMTZ+EvEmZTG9sgXXcdiy2cFJB1wvYWHgsMUGv7F18EgXF2OZBUHbS1Ykkij5i3yYMZe43022p2+x8DVCQ5adPNbFJWZY4NrJRA2Jzgng4LhbkzfjPi0gungUcZ/j5QgMl/y5o4m99S1qMmLJCiEXwHC93AKJNsPbf2uSx9vP8fkws6u9dI/rJSNsXwijsBzDinpfb8PFsSzv65LIV3jXACMQwbH9Xv4Dr1va8EVQmQ3xQOIaFnSviBLvv446I5w4gYkRbCTnh09hV+ckusJ43VaC/ZbilhTidWXxurTQ1CUnUQnhugZW77Vbb4qBK77yTsrqvZ6ammqKaL/Jha5AyYUOIDAqHSutc/VnFhERERFprXkyaK8oBNrvhD3tRtRxaHAcmh7xDbzvRevXZqv3cF0woCYWpdHxpit1kjN1XIMdt7HjcWKNEexIHCcSwc6J4kRi2JEYdjSGE4tTH41629EYth3DXRoBcwnY9biOg+O4uHEHbAfHtnFtL0lk2zbxjDJqNvdj/NWFKfrqSRMlFzqA3MOzUx2CiIiIiIh0UgHTJGDuwZgFicGFswMh9MQi7WLUi4cffph+/foRCoWYOHEin3322U73/+tf/8qwYcMIhUKMHDmS119/fT9Fmhr5h+ekOgQRERERERGRHUp5cuHll1/miiuu4KabbmLWrFmMHj2aY489ltLS0u3u/+mnn3LaaadxzjnnMHv2bE466SROOukk5s+fv58j33+yDu2cA36IiIiIiIhI55Dy2SImTpzIwQcfzEMPPQSA4zgUFxdzySWXcM0112yz/6mnnkpdXR3/+c9/km2HHHIIY8aM4bHHHvvK63WUUTqbZouo7m7wnZIjd2s+cxEREREREWk/OspzaFuktHIhGo0yc+ZMJk+enGwzTZPJkyczderU7R4zderUFvsDHHvssTvcPxKJUF1d3WLpCAzLSyZUjA0osSAiIiIiIiLtWkqTC1u2bMG2bQoLW47sWVhYSElJyXaPKSkp2a39b7/9drKzs5NLcXHx3gl+H5twejHLjglwwHW7OueRiIiIiIiISGqkfMyFfe3aa6+lqqoquaxdu/arD2oHho/K49z/HsbBRxalOhQRERERERGRnUrpVJQFBQVYlsWmTZtatG/atImiou0/VBcVFe3W/sFgkGAwuHcCFhEREREREZFtpLRyIRAIMG7cON59991km+M4vPvuuxx66KHbPebQQw9tsT/A22+/vcP9RURERERERGTfSmnlAsAVV1zBlClTGD9+PBMmTOD++++nrq6Os846C4AzzjiDXr16cfvttwNw6aWXMmnSJH73u99x/PHH89JLLzFjxgyeeOKJVH4MERERERERkS4r5cmFU089lc2bN3PjjTdSUlLCmDFjePPNN5ODNq5ZswbT3Fpgcdhhh/GnP/2JX/3qV1x33XUMHjyYV199lQMPPDBVH0FERERERESkSzNc13VTHcT+1BXmFxUREREREZH2oys8h3b62SJEREREREREZN9SckFERERERERE2kTJBRERERERERFpEyUXRERERERERKRNlFwQERERERERkTZRckFERERERERE2kTJBRERERERERFpEyUXRERERERERKRNlFwQERERERERkTZRckFERERERERE2kTJBRERERERERFpEyUXRERERERERKRNlFwQERERERERkTZRckFERERERERE2kTJBRERERERERFpEyUXRERERERERKRNlFwQERERERERkTZRckFERERERERE2kTJBRERERERERFpEyUXRERERERERKRNfKkOYH9zXReA6urqFEciIiIiIiIiXUHT82fT82hn1OWSCzU1NQAUFxenOBIRERERERHpSmpqasjOzk51GPuE4Xbm1Ml2OI7Dhg0byMzMxDCMVIezU9XV1RQXF7N27VqysrJSHY7INnSPSnune1TaO92j0t7pHpX2rqPco67rUlNTQ8+ePTHNzjk6QZerXDBNk969e6c6jN2SlZXVrv+hiOgelfZO96i0d7pHpb3TPSrtXUe4RztrxUKTzpkyEREREREREZH9RskFEREREREREWkTJRfasWAwyE033UQwGEx1KCLbpXtU2jvdo9Le6R6V9k73qLR3ukfbjy43oKOIiIiIiIiI7F2qXBARERERERGRNlFyQURERERERETaRMkFEREREREREWkTJRdEREREREREpE2UXEihhx9+mH79+hEKhZg4cSKfffbZTvf/61//yrBhwwiFQowcOZLXX399P0UqXdnu3KdPPvkkRxxxBLm5ueTm5jJ58uSvvK9F2mp3f5Y2eemllzAMg5NOOmnfBihd3u7eo5WVlVx00UX06NGDYDDIkCFD9P982ad29x69//77GTp0KOFwmOLiYi6//HIaGxv3U7TS1Xz44Yd85zvfoWfPnhiGwauvvvqVx/zvf//joIMOIhgMMmjQIJ577rl9HqcouZAyL7/8MldccQU33XQTs2bNYvTo0Rx77LGUlpZud/9PP/2U0047jXPOOYfZs2dz0kkncdJJJzF//vz9HLl0Jbt7n/7vf//jtNNO4/3332fq1KkUFxdzzDHHsH79+v0cuXQVu3uPNlm1ahVXXnklRxxxxH6KVLqq3b1Ho9EoRx99NKtWreJvf/sbixcv5sknn6RXr177OXLpKnb3Hv3Tn/7ENddcw0033cSiRYt4+umnefnll7nuuuv2c+TSVdTV1TF69GgefvjhXdp/5cqVHH/88XzjG99gzpw5XHbZZZx77rn897//3ceRCq6kxIQJE9yLLroo+dq2bbdnz57u7bffvt39TznlFPf4449v0TZx4kT3Zz/72T6NU7q23b1PW4vH425mZqb7/PPP76sQpYvbk3s0Ho+7hx12mPvUU0+5U6ZMcU888cT9EKl0Vbt7jz766KPugAED3Gg0ur9ClC5ud+/Riy66yD3qqKNatF1xxRXu4Ycfvk/jFHFd1wXcV155Zaf7XH311e6IESNatJ166qnuscceuw8jE9d1XVUupEA0GmXmzJlMnjw52WaaJpMnT2bq1KnbPWbq1Kkt9gc49thjd7i/SFvtyX3aWn19PbFYjLy8vH0VpnRhe3qP3nLLLXTv3p1zzjlnf4QpXdie3KP/+te/OPTQQ7nooosoLCzkwAMP5LbbbsO27f0VtnQhe3KPHnbYYcycOTPZdWLFihW8/vrrfPvb394vMYt8FT03pY4v1QF0RVu2bMG2bQoLC1u0FxYW8uWXX273mJKSku3uX1JSss/ilK5tT+7T1v7v//6Pnj17bvMDXmRv2JN79OOPP+bpp59mzpw5+yFC6er25B5dsWIF7733Hj/5yU94/fXXWbZsGRdeeCGxWIybbrppf4QtXcie3KM//vGP2bJlC1/72tdwXZd4PM7Pf/5zdYuQdmNHz03V1dU0NDQQDodTFFnnp8oFEdkn7rjjDl566SVeeeUVQqFQqsMRoaamhtNPP50nn3ySgoKCVIcjsl2O49C9e3eeeOIJxo0bx6mnnsr111/PY489lurQRABvfKXbbruNRx55hFmzZvGPf/yD1157jVtvvTXVoYlIiqlyIQUKCgqwLItNmza1aN+0aRNFRUXbPaaoqGi39hdpqz25T5vcc8893HHHHbzzzjuMGjVqX4YpXdju3qPLly9n1apVfOc730m2OY4DgM/nY/HixQwcOHDfBi1dyp78HO3Rowd+vx/LspJtw4cPp6SkhGg0SiAQ2KcxS9eyJ/foDTfcwOmnn865554LwMiRI6mrq+P888/n+uuvxzT1t0tJrR09N2VlZalqYR/Tv/4UCAQCjBs3jnfffTfZ5jgO7777Loceeuh2jzn00ENb7A/w9ttv73B/kbbak/sU4K677uLWW2/lzTffZPz48fsjVOmidvceHTZsGPPmzWPOnDnJ5bvf/W5yNOni4uL9Gb50AXvyc/Twww9n2bJlycQXwJIlS+jRo4cSC7LX7ck9Wl9fv00CoSkZ5rruvgtWZBfpuSmFUj2iZFf10ksvucFg0H3uuefchQsXuueff76bk5PjlpSUuK7ruqeffrp7zTXXJPf/5JNPXJ/P595zzz3uokWL3Jtuusn1+/3uvHnzUvURpAvY3fv0jjvucAOBgPu3v/3N3bhxY3KpqalJ1UeQTm5379HWNFuE7Gu7e4+uWbPGzczMdC+++GJ38eLF7n/+8x+3e/fu7m9+85tUfQTp5Hb3Hr3pppvczMxM989//rO7YsUK96233nIHDhzonnLKKan6CNLJ1dTUuLNnz3Znz57tAu69997rzp492129erXruq57zTXXuKeffnpy/xUrVrhpaWnuVVdd5S5atMh9+OGHXcuy3DfffDNVH6HLUHIhhR588EG3T58+biAQcCdMmOBOmzYt+d6kSZPcKVOmtNj/L3/5iztkyBA3EAi4I0aMcF977bX9HLF0Rbtzn/bt29cFtlluuumm/R+4dBm7+7O0OSUXZH/Y3Xv0008/dSdOnOgGg0F3wIAB7m9/+1s3Ho/v56ilK9mdezQWi7k333yzO3DgQDcUCrnFxcXuhRde6FZUVOz/wKVLeP/997f7+2XTfTllyhR30qRJ2xwzZswYNxAIuAMGDHCfffbZ/R53V2S4ruqXRERERERERGTPacwFEREREREREWkTJRdEREREREREpE2UXBARERERERGRNlFyQURERERERETaRMkFEREREREREWkTJRdEREREREREpE2UXBARERERERGRNlFyQURERERERETaRMkFERER2ecMw+DVV18FYNWqVRiGwZw5c1Iak4iIiOw9Si6IiIh0cmeeeSaGYWAYBn6/n/79+3P11VfT2NiY6tBERESkk/ClOgARERHZ94477jieffZZYrEYM2fOZMqUKRiGwZ133pnq0ERERKQTUOWCiIhIapOchQAAA5dJREFUFxAMBikqKqK4uJiTTjqJyZMn8/bbbwPgOA633347/fv3JxwOM3r0aP72t7+1OH7BggWccMIJZGVlkZmZyRFHHMHy5csB+Pzzzzn66KMpKCggOzubSZMmMWvWrP3+GUVERCR1lFwQERHpYubPn8+nn35KIBAA4Pbbb+eFF17gscceY8GCBVx++eX89Kc/5YMPPgBg/fr1HHnkkQSDQd577z1mzpzJ2WefTTweB6CmpoYpU6bw8ccfM23aNAYPHsy3v/1tampqUvYZRUREZP9StwgREZEu4D//+Q8ZGRnE43EikQimafLQQw8RiUS47bbbeOeddzj00EMBGDBgAB9//DGPP/44kyZN4uGHHyY7O5uXXnoJv98PwJAhQ5LnPuqoo1pc64knniAnJ4cPPviAE044Yf99SBEREUkZJRdERES6gG984xs8+uij1NXVcd999+Hz+fj+97/PggULqK+v5+ijj26xfzQaZezYsQDMmTOHI444IplYaG3Tpk386le/4n//+x+lpaXYtk19fT1r1qzZ559LRERE2gclF0RERLqA9PR0Bg0aBMAzzzzD6NGjefrppznwwAMBeO211+jVq1eLY4LBIADhcHin554yZQplZWU88MAD9O3bl2AwyKGHHko0Gt0Hn0RERETaIyUXREREuhjTNLnuuuu44oorWLJkCcFgkDVr1jBp0qTt7j9q1Cief/55YrHYdqsXPvnkEx555BG+/e1vA7B27Vq2bNmyTz+DiIiItC8a0FFERKQL+uEPf4hlWTz++ONceeWVXH755Tz//PMsX76cWbNm8eCDD/L8888DcPHFF1NdXc2PfvQjZsyYwdKlS3nxxRdZvHgxAIMHD+bFF19k0aJFTJ8+nZ/85CdfWe0gIiIinYsqF0RERLogn8/HxRdfzF133cXKlSvp1q0bt99+OytWrCAnJ4eDDjqI6667DoD8/Hzee+89rrrqKiZNmoRlWYwZM4bDDz8cgKeffprzzz+fgw46iOLiYm677TauvPLKVH48ERER2c8M13XdVAchIiIiIiIiIh2XukWIiIiIiIiISJsouSAiIiIiIiIibaLkgoiIiIiIiIi0iZILIiIiIiIiItImSi6IiIiIiIiISJsouSAiIiIiIiIibaLkgoiIiIiIiIi0iZILIiIiIiIiItImSi6IiIiIiIiISJsouSAiIiIiIiIibaLkgoiIiIiIiIi0yf8D8G2zGJsuXAEAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Now fit the models with their best parameters and feature sets on the train set and test them on the test set:\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.metrics import accuracy_score, recall_score, precision_score, f1_score, precision_recall_curve\n",
    "\n",
    "plt.figure(figsize=(12, 8))\n",
    "colors = ['b', 'g', 'r', 'c', 'm', 'y']\n",
    "i=0\n",
    "\n",
    "for model_name, config in model_config.items():\n",
    "    model_obj = config['model_obj']\n",
    "    best_features = config['best_feature_set']\n",
    "    best_params = config['best_params']\n",
    "\n",
    "    # Set parameters\n",
    "    model_best = model_obj().set_params(**best_params)\n",
    "\n",
    "    # Fit the model on training data\n",
    "    model_best.fit(X_train_total[best_features], y_train)\n",
    "\n",
    "    # Make predictions\n",
    "    y_pred = model_best.predict(X_test[best_features])\n",
    "\n",
    "    # Calculate metrics\n",
    "    test_accuracy = accuracy_score(y_test, y_pred)\n",
    "    test_recall = recall_score(y_test, y_pred, pos_label='repetitive')\n",
    "    test_precision = precision_score(y_test, y_pred, pos_label='repetitive')\n",
    "    test_f1 = f1_score(y_test, y_pred, pos_label='repetitive')\n",
    "\n",
    "    # Store metrics in the dictionary\n",
    "    model_config[model_name]['test_accuracy'] = test_accuracy\n",
    "    model_config[model_name]['test_recall'] = test_recall\n",
    "    model_config[model_name]['test_precision'] = test_precision\n",
    "    model_config[model_name]['test_f1'] = test_f1\n",
    "    print(model_config[model_name], '\\n')\n",
    "\n",
    "    # Calculate precision-recall curve\n",
    "    precision, recall, threshold = precision_recall_curve(y_test, model_best.predict_proba(X_test[best_features])[:, 1], pos_label='repetitive')\n",
    "\n",
    "    # Plot precision-recall curve\n",
    "    plt.plot(recall, precision, color=colors[i], label=model_name)\n",
    "    i+=1\n",
    "\n",
    "plt.xlabel('Recall')\n",
    "plt.ylabel('Precision')\n",
    "plt.title('Precision-Recall Curves for different self-repetition classifiers')\n",
    "plt.legend(loc='best', bbox_to_anchor=(1.05, 1), borderaxespad=0.)\n",
    "plt.savefig('Visualisations/Precision_recall_selfrep.png')  \n",
    "plt.show()\n",
    "\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "4231ab6f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "with open('Model_config_selfrep', 'wb') as handle:\n",
    "    pickle.dump(model_config, handle, protocol=pickle.HIGHEST_PROTOCOL)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "072d648d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " DTC\n",
      "model_obj :  <class 'sklearn.tree._classes.DecisionTreeClassifier'>\n",
      "best_feature_set :  ['DTW_mfcc', 'DTW_melspectrogram', 'DTW_lpc', 'DTW_combined', 'DTW_mfcc_melspectrogram', 'DTW_mfcc_lpc', 'DTW_melspectrogram_lpc']\n",
      "best_k_features :  ['DTW_mfcc' 'DTW_mfcc_lpc']\n",
      "best_params :  {'class_weight': 'balanced', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2}\n",
      "best_avg_val_f1 :  0.807126606022802\n",
      "test_accuracy :  0.7618809046664758\n",
      "test_recall :  0.4472049689440994\n",
      "test_precision :  0.02175226586102719\n",
      "test_f1 :  0.04148660328435609\n",
      "\n",
      " KNN\n",
      "model_obj :  <class 'sklearn.neighbors._classification.KNeighborsClassifier'>\n",
      "best_feature_set :  ['DTW_mfcc', 'DTW_melspectrogram', 'DTW_lpc', 'DTW_combined', 'DTW_mfcc_melspectrogram', 'DTW_mfcc_lpc', 'DTW_melspectrogram_lpc']\n",
      "best_k_features :  ['DTW_mfcc' 'DTW_mfcc_lpc']\n",
      "best_params :  {'algorithm': 'auto', 'n_neighbors': 3, 'weights': 'distance'}\n",
      "best_avg_val_f1 :  0.9159182898471134\n",
      "test_accuracy :  0.7075579730890352\n",
      "test_recall :  0.484472049689441\n",
      "test_precision :  0.019112962509188924\n",
      "test_f1 :  0.036775106082036775\n",
      "\n",
      " RFC\n",
      "model_obj :  <class 'sklearn.ensemble._forest.RandomForestClassifier'>\n",
      "best_feature_set :  ['DTW_mfcc', 'DTW_melspectrogram', 'DTW_lpc', 'DTW_combined', 'DTW_mfcc_melspectrogram', 'DTW_mfcc_lpc', 'DTW_melspectrogram_lpc']\n",
      "best_k_features :  ['DTW_mfcc' 'DTW_mfcc_lpc']\n",
      "best_params :  {'class_weight': 'balanced', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}\n",
      "best_avg_val_f1 :  0.8808981932087394\n",
      "test_accuracy :  0.853635843114801\n",
      "test_recall :  0.38509316770186336\n",
      "test_precision :  0.030876494023904383\n",
      "test_f1 :  0.05716920239741816\n",
      "\n",
      " LREG\n",
      "model_obj :  <class 'sklearn.linear_model._logistic.LogisticRegression'>\n",
      "best_feature_set :  ['DTW_mfcc', 'DTW_melspectrogram', 'DTW_lpc', 'DTW_combined', 'DTW_mfcc_melspectrogram', 'DTW_mfcc_lpc', 'DTW_melspectrogram_lpc']\n",
      "best_k_features :  ['DTW_mfcc' 'DTW_mfcc_lpc']\n",
      "best_params :  {'C': 0.01, 'class_weight': 'balanced', 'penalty': None}\n",
      "best_avg_val_f1 :  0.6701716308500228\n",
      "test_accuracy :  0.67892928714572\n",
      "test_recall :  0.6583850931677019\n",
      "test_precision :  0.023363456028212475\n",
      "test_f1 :  0.04512558535547041\n",
      "\n",
      " SVC\n",
      "model_obj :  <class 'sklearn.svm._classes.SVC'>\n",
      "best_feature_set :  ['DTW_mfcc', 'DTW_melspectrogram', 'DTW_lpc', 'DTW_combined', 'DTW_mfcc_melspectrogram', 'DTW_mfcc_lpc', 'DTW_melspectrogram_lpc']\n",
      "best_k_features :  ['DTW_mfcc' 'DTW_mfcc_lpc']\n",
      "best_params :  {'C': 1, 'class_weight': 'balanced', 'gamma': 100, 'probability': True}\n",
      "best_avg_val_f1 :  0.8337822324140636\n",
      "test_accuracy :  0.7474234182651016\n",
      "test_recall :  0.4472049689440994\n",
      "test_precision :  0.02050113895216401\n",
      "test_f1 :  0.039205009528995374\n",
      "\n",
      " MLP\n",
      "model_obj :  <class 'sklearn.neural_network._multilayer_perceptron.MLPClassifier'>\n",
      "best_feature_set :  ['DTW_mfcc', 'DTW_melspectrogram', 'DTW_lpc', 'DTW_combined']\n",
      "best_k_features :  ['DTW_mfcc' 'DTW_lpc']\n",
      "best_params :  {'activation': 'relu', 'alpha': 0.0001, 'hidden_layer_sizes': (50, 30), 'learning_rate': 'constant', 'max_iter': 600, 'solver': 'adam'}\n",
      "best_avg_val_f1 :  0.6774561924072333\n",
      "test_accuracy :  0.8547809905525336\n",
      "test_recall :  0.5279503105590062\n",
      "test_precision :  0.04170755642787046\n",
      "test_f1 :  0.07730786721236926\n"
     ]
    }
   ],
   "source": [
    "for model, items in model_config.items():\n",
    "    print('\\n',model)\n",
    "    for key, value in items.items():\n",
    "        print(key,': ', value)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "71025dce",
   "metadata": {},
   "source": [
    "# Get best threshold for best model and store trained model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "333c15be",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get precision, recall and F1 for different thresholds for the best classifier (Logistic Regression)\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.metrics import accuracy_score, recall_score, precision_score, f1_score, precision_recall_curve\n",
    "\n",
    "\n",
    "config= model_config['LREG']\n",
    "model_obj = config['model_obj']\n",
    "best_features = config['best_feature_set']\n",
    "best_params = config['best_params']\n",
    "\n",
    "# Set parameters\n",
    "model_best = model_obj().set_params(**best_params)\n",
    "\n",
    "# Fit the model on training data\n",
    "model_best.fit(X_train_total[best_features], y_train)\n",
    "\n",
    "\n",
    "# Calculate precision-recall curve\n",
    "precision, recall, threshold = precision_recall_curve(y_test, model_best.predict_proba(X_test[best_features])[:, 1], pos_label='repetitive')\n",
    "\n",
    "# Store data in dataframe\n",
    "df= pd.DataFrame(columns= ['Precision','Recall','F1','Threshold'])\n",
    "i=0\n",
    "for pr, rec, thr in zip(precision, recall, threshold):\n",
    "    f1= 2*pr*rec/(pr+rec)\n",
    "    df.loc[i]= [pr, rec, f1, thr]\n",
    "    i+=1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "7916689c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Precision</th>\n",
       "      <th>Recall</th>\n",
       "      <th>F1</th>\n",
       "      <th>Threshold</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>13941</th>\n",
       "      <td>0.16129</td>\n",
       "      <td>0.031056</td>\n",
       "      <td>0.052083</td>\n",
       "      <td>0.885098</td>\n",
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      "text/plain": [
       "       Precision    Recall        F1  Threshold\n",
       "13941    0.16129  0.031056  0.052083   0.885098"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df['Precision']== df['Precision'].max()] # Maximum value for precision"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "ba7685f3",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>Precision</th>\n",
       "      <th>Recall</th>\n",
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       "      <th>Threshold</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.011523</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.022784</td>\n",
       "      <td>0.006358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.011524</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.022785</td>\n",
       "      <td>0.007583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.011525</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.022787</td>\n",
       "      <td>0.010448</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.011526</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.022788</td>\n",
       "      <td>0.010464</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.011526</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.022790</td>\n",
       "      <td>0.013961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>667</th>\n",
       "      <td>0.012101</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.023912</td>\n",
       "      <td>0.130645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>668</th>\n",
       "      <td>0.012102</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.023914</td>\n",
       "      <td>0.130663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>669</th>\n",
       "      <td>0.012103</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.023916</td>\n",
       "      <td>0.130711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>670</th>\n",
       "      <td>0.012103</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.023917</td>\n",
       "      <td>0.130739</td>\n",
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       "    <tr>\n",
       "      <th>671</th>\n",
       "      <td>0.012104</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.023919</td>\n",
       "      <td>0.130789</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>672 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Precision  Recall        F1  Threshold\n",
       "0     0.011523     1.0  0.022784   0.006358\n",
       "1     0.011524     1.0  0.022785   0.007583\n",
       "2     0.011525     1.0  0.022787   0.010448\n",
       "3     0.011526     1.0  0.022788   0.010464\n",
       "4     0.011526     1.0  0.022790   0.013961\n",
       "..         ...     ...       ...        ...\n",
       "667   0.012101     1.0  0.023912   0.130645\n",
       "668   0.012102     1.0  0.023914   0.130663\n",
       "669   0.012103     1.0  0.023916   0.130711\n",
       "670   0.012103     1.0  0.023917   0.130739\n",
       "671   0.012104     1.0  0.023919   0.130789\n",
       "\n",
       "[672 rows x 4 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df['Recall']== df['Recall'].max()] # Maximum value for recall"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "720544a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Precision</th>\n",
       "      <th>Recall</th>\n",
       "      <th>F1</th>\n",
       "      <th>Threshold</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>13822</th>\n",
       "      <td>0.12</td>\n",
       "      <td>0.111801</td>\n",
       "      <td>0.115756</td>\n",
       "      <td>0.833329</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Precision    Recall        F1  Threshold\n",
       "13822       0.12  0.111801  0.115756   0.833329"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df['F1']== df['F1'].max()] # Maximum value for F1-score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "beb1d0f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "max_f1= df.loc[(df['Recall']> 0.15) & (df['Precision']> 0.08), ['F1']].max() # Get max F1 score with acceptable precision and recall"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "cd0e4f16",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>13654</th>\n",
       "      <td>0.081761</td>\n",
       "      <td>0.161491</td>\n",
       "      <td>0.108559</td>\n",
       "      <td>0.796943</td>\n",
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       "       Precision    Recall        F1  Threshold\n",
       "13654   0.081761  0.161491  0.108559   0.796943"
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     "execution_count": 50,
     "metadata": {},
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   "source": [
    "df.loc[(df['Recall']> 0.15) & (df['Precision']> 0.08) & (df['F1']== max_f1[0])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "96af4296",
   "metadata": {},
   "outputs": [],
   "source": [
    "threshold= float(df.loc[(df['Recall']> 0.15) & (df['Precision']> 0.08) & (df['F1']== max_f1[0]), 'Threshold'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "6ab4fc2e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.79694346981021"
      ]
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     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "threshold"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "ce9a38cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Store trained model and configurations\n",
    "model_best.fit(X_train_total[best_features], y_train)\n",
    "best_model_config= {'model_obj': model_best, 'best_features': best_features, 'threshold': threshold}\n",
    "with open('Trained_best_classifier_self-repetition.pkl', 'wb') as handle:\n",
    "    pickle.dump(best_model_config, handle, protocol=pickle.HIGHEST_PROTOCOL)"
   ]
  }
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