Support Vector Machine.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a878eb14",
   "metadata": {},
   "source": [
    "## Support Vector Machine"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86effa24",
   "metadata": {},
   "source": [
    "- Support Vector Machine (SVM) are a popular supervised machine learning algorithm used for classification and regression     tasks. SVMs are particularly effective when dealing with complex datasets and are widely used in various domains,           including text classification, image classification, and bioinformatics.\n",
    "\n",
    "- The primary objective of an SVM is to find an optimal hyperplane that separates the data points into different classes.     The hyperplane is selected in such a way that it maximizes the margin, which is the distance between the hyperplane and     the nearest data points from each class. These data points, known as support vectors, play a crucial role in determining   the hyperplane."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0a64cc54",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=400x432 at 0x23A5A0AEBE0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from PIL import Image\n",
    "import IPython.display as display\n",
    "\n",
    "image_path = 'C:\\\\Users\\\\Admin\\\\Desktop\\\\SVM.jpg'  \n",
    "\n",
    "image = Image.open(image_path)\n",
    "display.display(image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "bf743fbb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'data': array([[5.1, 3.5, 1.4, 0.2],\n",
       "        [4.9, 3. , 1.4, 0.2],\n",
       "        [4.7, 3.2, 1.3, 0.2],\n",
       "        [4.6, 3.1, 1.5, 0.2],\n",
       "        [5. , 3.6, 1.4, 0.2],\n",
       "        [5.4, 3.9, 1.7, 0.4],\n",
       "        [4.6, 3.4, 1.4, 0.3],\n",
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       "        [4.3, 3. , 1.1, 0.1],\n",
       "        [5.8, 4. , 1.2, 0.2],\n",
       "        [5.7, 4.4, 1.5, 0.4],\n",
       "        [5.4, 3.9, 1.3, 0.4],\n",
       "        [5.1, 3.5, 1.4, 0.3],\n",
       "        [5.7, 3.8, 1.7, 0.3],\n",
       "        [5.1, 3.8, 1.5, 0.3],\n",
       "        [5.4, 3.4, 1.7, 0.2],\n",
       "        [5.1, 3.7, 1.5, 0.4],\n",
       "        [4.6, 3.6, 1. , 0.2],\n",
       "        [5.1, 3.3, 1.7, 0.5],\n",
       "        [4.8, 3.4, 1.9, 0.2],\n",
       "        [5. , 3. , 1.6, 0.2],\n",
       "        [5. , 3.4, 1.6, 0.4],\n",
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       "        [4.7, 3.2, 1.6, 0.2],\n",
       "        [4.8, 3.1, 1.6, 0.2],\n",
       "        [5.4, 3.4, 1.5, 0.4],\n",
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       "        [5.5, 4.2, 1.4, 0.2],\n",
       "        [4.9, 3.1, 1.5, 0.2],\n",
       "        [5. , 3.2, 1.2, 0.2],\n",
       "        [5.5, 3.5, 1.3, 0.2],\n",
       "        [4.9, 3.6, 1.4, 0.1],\n",
       "        [4.4, 3. , 1.3, 0.2],\n",
       "        [5.1, 3.4, 1.5, 0.2],\n",
       "        [5. , 3.5, 1.3, 0.3],\n",
       "        [4.5, 2.3, 1.3, 0.3],\n",
       "        [4.4, 3.2, 1.3, 0.2],\n",
       "        [5. , 3.5, 1.6, 0.6],\n",
       "        [5.1, 3.8, 1.9, 0.4],\n",
       "        [4.8, 3. , 1.4, 0.3],\n",
       "        [5.1, 3.8, 1.6, 0.2],\n",
       "        [4.6, 3.2, 1.4, 0.2],\n",
       "        [5.3, 3.7, 1.5, 0.2],\n",
       "        [5. , 3.3, 1.4, 0.2],\n",
       "        [7. , 3.2, 4.7, 1.4],\n",
       "        [6.4, 3.2, 4.5, 1.5],\n",
       "        [6.9, 3.1, 4.9, 1.5],\n",
       "        [5.5, 2.3, 4. , 1.3],\n",
       "        [6.5, 2.8, 4.6, 1.5],\n",
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       "        [5. , 2. , 3.5, 1. ],\n",
       "        [5.9, 3. , 4.2, 1.5],\n",
       "        [6. , 2.2, 4. , 1. ],\n",
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       "        [5.8, 2.7, 3.9, 1.2],\n",
       "        [6. , 2.7, 5.1, 1.6],\n",
       "        [5.4, 3. , 4.5, 1.5],\n",
       "        [6. , 3.4, 4.5, 1.6],\n",
       "        [6.7, 3.1, 4.7, 1.5],\n",
       "        [6.3, 2.3, 4.4, 1.3],\n",
       "        [5.6, 3. , 4.1, 1.3],\n",
       "        [5.5, 2.5, 4. , 1.3],\n",
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       "        [6.1, 3. , 4.6, 1.4],\n",
       "        [5.8, 2.6, 4. , 1.2],\n",
       "        [5. , 2.3, 3.3, 1. ],\n",
       "        [5.6, 2.7, 4.2, 1.3],\n",
       "        [5.7, 3. , 4.2, 1.2],\n",
       "        [5.7, 2.9, 4.2, 1.3],\n",
       "        [6.2, 2.9, 4.3, 1.3],\n",
       "        [5.1, 2.5, 3. , 1.1],\n",
       "        [5.7, 2.8, 4.1, 1.3],\n",
       "        [6.3, 3.3, 6. , 2.5],\n",
       "        [5.8, 2.7, 5.1, 1.9],\n",
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       "        [6.3, 2.9, 5.6, 1.8],\n",
       "        [6.5, 3. , 5.8, 2.2],\n",
       "        [7.6, 3. , 6.6, 2.1],\n",
       "        [4.9, 2.5, 4.5, 1.7],\n",
       "        [7.3, 2.9, 6.3, 1.8],\n",
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       "        [7.2, 3.6, 6.1, 2.5],\n",
       "        [6.5, 3.2, 5.1, 2. ],\n",
       "        [6.4, 2.7, 5.3, 1.9],\n",
       "        [6.8, 3. , 5.5, 2.1],\n",
       "        [5.7, 2.5, 5. , 2. ],\n",
       "        [5.8, 2.8, 5.1, 2.4],\n",
       "        [6.4, 3.2, 5.3, 2.3],\n",
       "        [6.5, 3. , 5.5, 1.8],\n",
       "        [7.7, 3.8, 6.7, 2.2],\n",
       "        [7.7, 2.6, 6.9, 2.3],\n",
       "        [6. , 2.2, 5. , 1.5],\n",
       "        [6.9, 3.2, 5.7, 2.3],\n",
       "        [5.6, 2.8, 4.9, 2. ],\n",
       "        [7.7, 2.8, 6.7, 2. ],\n",
       "        [6.3, 2.7, 4.9, 1.8],\n",
       "        [6.7, 3.3, 5.7, 2.1],\n",
       "        [7.2, 3.2, 6. , 1.8],\n",
       "        [6.2, 2.8, 4.8, 1.8],\n",
       "        [6.1, 3. , 4.9, 1.8],\n",
       "        [6.4, 2.8, 5.6, 2.1],\n",
       "        [7.2, 3. , 5.8, 1.6],\n",
       "        [7.4, 2.8, 6.1, 1.9],\n",
       "        [7.9, 3.8, 6.4, 2. ],\n",
       "        [6.4, 2.8, 5.6, 2.2],\n",
       "        [6.3, 2.8, 5.1, 1.5],\n",
       "        [6.1, 2.6, 5.6, 1.4],\n",
       "        [7.7, 3. , 6.1, 2.3],\n",
       "        [6.3, 3.4, 5.6, 2.4],\n",
       "        [6.4, 3.1, 5.5, 1.8],\n",
       "        [6. , 3. , 4.8, 1.8],\n",
       "        [6.9, 3.1, 5.4, 2.1],\n",
       "        [6.7, 3.1, 5.6, 2.4],\n",
       "        [6.9, 3.1, 5.1, 2.3],\n",
       "        [5.8, 2.7, 5.1, 1.9],\n",
       "        [6.8, 3.2, 5.9, 2.3],\n",
       "        [6.7, 3.3, 5.7, 2.5],\n",
       "        [6.7, 3. , 5.2, 2.3],\n",
       "        [6.3, 2.5, 5. , 1.9],\n",
       "        [6.5, 3. , 5.2, 2. ],\n",
       "        [6.2, 3.4, 5.4, 2.3],\n",
       "        [5.9, 3. , 5.1, 1.8]]),\n",
       " 'target': array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "        0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "        0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
       "        1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
       "        1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
       "        2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
       "        2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]),\n",
       " 'frame': None,\n",
       " 'target_names': array(['setosa', 'versicolor', 'virginica'], dtype='<U10'),\n",
       " 'DESCR': '.. _iris_dataset:\\n\\nIris plants dataset\\n--------------------\\n\\n**Data Set Characteristics:**\\n\\n    :Number of Instances: 150 (50 in each of three classes)\\n    :Number of Attributes: 4 numeric, predictive attributes and the class\\n    :Attribute Information:\\n        - sepal length in cm\\n        - sepal width in cm\\n        - petal length in cm\\n        - petal width in cm\\n        - class:\\n                - Iris-Setosa\\n                - Iris-Versicolour\\n                - Iris-Virginica\\n                \\n    :Summary Statistics:\\n\\n    ============== ==== ==== ======= ===== ====================\\n                    Min  Max   Mean    SD   Class Correlation\\n    ============== ==== ==== ======= ===== ====================\\n    sepal length:   4.3  7.9   5.84   0.83    0.7826\\n    sepal width:    2.0  4.4   3.05   0.43   -0.4194\\n    petal length:   1.0  6.9   3.76   1.76    0.9490  (high!)\\n    petal width:    0.1  2.5   1.20   0.76    0.9565  (high!)\\n    ============== ==== ==== ======= ===== ====================\\n\\n    :Missing Attribute Values: None\\n    :Class Distribution: 33.3% for each of 3 classes.\\n    :Creator: R.A. Fisher\\n    :Donor: Michael Marshall (MARSHALL%PLU@io.arc.nasa.gov)\\n    :Date: July, 1988\\n\\nThe famous Iris database, first used by Sir R.A. Fisher. The dataset is taken\\nfrom Fisher\\'s paper. Note that it\\'s the same as in R, but not as in the UCI\\nMachine Learning Repository, which has two wrong data points.\\n\\nThis is perhaps the best known database to be found in the\\npattern recognition literature.  Fisher\\'s paper is a classic in the field and\\nis referenced frequently to this day.  (See Duda & Hart, for example.)  The\\ndata set contains 3 classes of 50 instances each, where each class refers to a\\ntype of iris plant.  One class is linearly separable from the other 2; the\\nlatter are NOT linearly separable from each other.\\n\\n.. topic:: References\\n\\n   - Fisher, R.A. \"The use of multiple measurements in taxonomic problems\"\\n     Annual Eugenics, 7, Part II, 179-188 (1936); also in \"Contributions to\\n     Mathematical Statistics\" (John Wiley, NY, 1950).\\n   - Duda, R.O., & Hart, P.E. (1973) Pattern Classification and Scene Analysis.\\n     (Q327.D83) John Wiley & Sons.  ISBN 0-471-22361-1.  See page 218.\\n   - Dasarathy, B.V. (1980) \"Nosing Around the Neighborhood: A New System\\n     Structure and Classification Rule for Recognition in Partially Exposed\\n     Environments\".  IEEE Transactions on Pattern Analysis and Machine\\n     Intelligence, Vol. PAMI-2, No. 1, 67-71.\\n   - Gates, G.W. (1972) \"The Reduced Nearest Neighbor Rule\".  IEEE Transactions\\n     on Information Theory, May 1972, 431-433.\\n   - See also: 1988 MLC Proceedings, 54-64.  Cheeseman et al\"s AUTOCLASS II\\n     conceptual clustering system finds 3 classes in the data.\\n   - Many, many more ...',\n",
       " 'feature_names': ['sepal length (cm)',\n",
       "  'sepal width (cm)',\n",
       "  'petal length (cm)',\n",
       "  'petal width (cm)'],\n",
       " 'filename': 'iris.csv',\n",
       " 'data_module': 'sklearn.datasets.data'}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from sklearn.datasets import load_iris\n",
    "iris = load_iris()\n",
    "iris"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ec4f0155",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['DESCR',\n",
       " 'data',\n",
       " 'data_module',\n",
       " 'feature_names',\n",
       " 'filename',\n",
       " 'frame',\n",
       " 'target',\n",
       " 'target_names']"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir(iris)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3ffc2f2b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['sepal length (cm)',\n",
       " 'sepal width (cm)',\n",
       " 'petal length (cm)',\n",
       " 'petal width (cm)']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris.feature_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b8faa348",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['setosa', 'versicolor', 'virginica'], dtype='<U10')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris.target_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e6003217",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
       "       2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
       "       2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris.target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "539e57d8",
   "metadata": {},
   "outputs": [
    {
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      ],
      "text/plain": [
       "   sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)\n",
       "0                5.1               3.5                1.4               0.2\n",
       "1                4.9               3.0                1.4               0.2\n",
       "2                4.7               3.2                1.3               0.2\n",
       "3                4.6               3.1                1.5               0.2\n",
       "4                5.0               3.6                1.4               0.2"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(iris.data,columns = iris.feature_names)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b20e9c6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['target']= iris.target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "3f18804f",
   "metadata": {},
   "outputs": [
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       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>6.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)  \\\n",
       "0                  5.1               3.5                1.4               0.2   \n",
       "1                  4.9               3.0                1.4               0.2   \n",
       "2                  4.7               3.2                1.3               0.2   \n",
       "3                  4.6               3.1                1.5               0.2   \n",
       "4                  5.0               3.6                1.4               0.2   \n",
       "..                 ...               ...                ...               ...   \n",
       "145                6.7               3.0                5.2               2.3   \n",
       "146                6.3               2.5                5.0               1.9   \n",
       "147                6.5               3.0                5.2               2.0   \n",
       "148                6.2               3.4                5.4               2.3   \n",
       "149                5.9               3.0                5.1               1.8   \n",
       "\n",
       "     target  \n",
       "0         0  \n",
       "1         0  \n",
       "2         0  \n",
       "3         0  \n",
       "4         0  \n",
       "..      ...  \n",
       "145       2  \n",
       "146       2  \n",
       "147       2  \n",
       "148       2  \n",
       "149       2  \n",
       "\n",
       "[150 rows x 5 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "dcddf688",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>sepal length (cm)</th>\n",
       "      <th>sepal width (cm)</th>\n",
       "      <th>petal length (cm)</th>\n",
       "      <th>petal width (cm)</th>\n",
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       "      <th>100</th>\n",
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       "      <th>101</th>\n",
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       "      <th>102</th>\n",
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       "      <th>104</th>\n",
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       "      <th>105</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>4.9</td>\n",
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       "      <td>1.7</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>7.3</td>\n",
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       "      <th>108</th>\n",
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       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>7.2</td>\n",
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       "      <th>110</th>\n",
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       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
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       "      <th>111</th>\n",
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       "      <td>5.3</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>6.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.5</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>5.7</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.1</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>6.4</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.3</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.5</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.6</td>\n",
       "      <td>6.9</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>6.0</td>\n",
       "      <td>2.2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>5.6</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.9</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>7.7</td>\n",
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       "      <td>6.7</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>6.3</td>\n",
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       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>6.2</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>6.1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>1.6</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>7.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.1</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>7.9</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.2</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>6.1</td>\n",
       "      <td>2.6</td>\n",
       "      <td>5.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>6.3</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>6.4</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.5</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.1</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.7</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>6.8</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.9</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>6.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)  \\\n",
       "100                6.3               3.3                6.0               2.5   \n",
       "101                5.8               2.7                5.1               1.9   \n",
       "102                7.1               3.0                5.9               2.1   \n",
       "103                6.3               2.9                5.6               1.8   \n",
       "104                6.5               3.0                5.8               2.2   \n",
       "105                7.6               3.0                6.6               2.1   \n",
       "106                4.9               2.5                4.5               1.7   \n",
       "107                7.3               2.9                6.3               1.8   \n",
       "108                6.7               2.5                5.8               1.8   \n",
       "109                7.2               3.6                6.1               2.5   \n",
       "110                6.5               3.2                5.1               2.0   \n",
       "111                6.4               2.7                5.3               1.9   \n",
       "112                6.8               3.0                5.5               2.1   \n",
       "113                5.7               2.5                5.0               2.0   \n",
       "114                5.8               2.8                5.1               2.4   \n",
       "115                6.4               3.2                5.3               2.3   \n",
       "116                6.5               3.0                5.5               1.8   \n",
       "117                7.7               3.8                6.7               2.2   \n",
       "118                7.7               2.6                6.9               2.3   \n",
       "119                6.0               2.2                5.0               1.5   \n",
       "120                6.9               3.2                5.7               2.3   \n",
       "121                5.6               2.8                4.9               2.0   \n",
       "122                7.7               2.8                6.7               2.0   \n",
       "123                6.3               2.7                4.9               1.8   \n",
       "124                6.7               3.3                5.7               2.1   \n",
       "125                7.2               3.2                6.0               1.8   \n",
       "126                6.2               2.8                4.8               1.8   \n",
       "127                6.1               3.0                4.9               1.8   \n",
       "128                6.4               2.8                5.6               2.1   \n",
       "129                7.2               3.0                5.8               1.6   \n",
       "130                7.4               2.8                6.1               1.9   \n",
       "131                7.9               3.8                6.4               2.0   \n",
       "132                6.4               2.8                5.6               2.2   \n",
       "133                6.3               2.8                5.1               1.5   \n",
       "134                6.1               2.6                5.6               1.4   \n",
       "135                7.7               3.0                6.1               2.3   \n",
       "136                6.3               3.4                5.6               2.4   \n",
       "137                6.4               3.1                5.5               1.8   \n",
       "138                6.0               3.0                4.8               1.8   \n",
       "139                6.9               3.1                5.4               2.1   \n",
       "140                6.7               3.1                5.6               2.4   \n",
       "141                6.9               3.1                5.1               2.3   \n",
       "142                5.8               2.7                5.1               1.9   \n",
       "143                6.8               3.2                5.9               2.3   \n",
       "144                6.7               3.3                5.7               2.5   \n",
       "145                6.7               3.0                5.2               2.3   \n",
       "146                6.3               2.5                5.0               1.9   \n",
       "147                6.5               3.0                5.2               2.0   \n",
       "148                6.2               3.4                5.4               2.3   \n",
       "149                5.9               3.0                5.1               1.8   \n",
       "\n",
       "     target  \n",
       "100       2  \n",
       "101       2  \n",
       "102       2  \n",
       "103       2  \n",
       "104       2  \n",
       "105       2  \n",
       "106       2  \n",
       "107       2  \n",
       "108       2  \n",
       "109       2  \n",
       "110       2  \n",
       "111       2  \n",
       "112       2  \n",
       "113       2  \n",
       "114       2  \n",
       "115       2  \n",
       "116       2  \n",
       "117       2  \n",
       "118       2  \n",
       "119       2  \n",
       "120       2  \n",
       "121       2  \n",
       "122       2  \n",
       "123       2  \n",
       "124       2  \n",
       "125       2  \n",
       "126       2  \n",
       "127       2  \n",
       "128       2  \n",
       "129       2  \n",
       "130       2  \n",
       "131       2  \n",
       "132       2  \n",
       "133       2  \n",
       "134       2  \n",
       "135       2  \n",
       "136       2  \n",
       "137       2  \n",
       "138       2  \n",
       "139       2  \n",
       "140       2  \n",
       "141       2  \n",
       "142       2  \n",
       "143       2  \n",
       "144       2  \n",
       "145       2  \n",
       "146       2  \n",
       "147       2  \n",
       "148       2  \n",
       "149       2  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.target==2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "407412c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal length (cm)</th>\n",
       "      <th>sepal width (cm)</th>\n",
       "      <th>petal length (cm)</th>\n",
       "      <th>petal width (cm)</th>\n",
       "      <th>target</th>\n",
       "      <th>flower_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>6.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)  \\\n",
       "0                  5.1               3.5                1.4               0.2   \n",
       "1                  4.9               3.0                1.4               0.2   \n",
       "2                  4.7               3.2                1.3               0.2   \n",
       "3                  4.6               3.1                1.5               0.2   \n",
       "4                  5.0               3.6                1.4               0.2   \n",
       "..                 ...               ...                ...               ...   \n",
       "145                6.7               3.0                5.2               2.3   \n",
       "146                6.3               2.5                5.0               1.9   \n",
       "147                6.5               3.0                5.2               2.0   \n",
       "148                6.2               3.4                5.4               2.3   \n",
       "149                5.9               3.0                5.1               1.8   \n",
       "\n",
       "     target flower_name  \n",
       "0         0      setosa  \n",
       "1         0      setosa  \n",
       "2         0      setosa  \n",
       "3         0      setosa  \n",
       "4         0      setosa  \n",
       "..      ...         ...  \n",
       "145       2   virginica  \n",
       "146       2   virginica  \n",
       "147       2   virginica  \n",
       "148       2   virginica  \n",
       "149       2   virginica  \n",
       "\n",
       "[150 rows x 6 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['flower_name'] = df.target.apply(lambda x : iris.target_names[x])\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df3eb7b7",
   "metadata": {},
   "source": [
    "## Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "c113962d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "f7752aee",
   "metadata": {},
   "outputs": [],
   "source": [
    "df1 = df[:50]\n",
    "df2 = df[51:100]\n",
    "df3 = df[101:150]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "50e3129b",
   "metadata": {},
   "source": [
    "## Petal Length Versus Petal Width"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "d7b39c4a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x23a6122a280>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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s9rGrD7DSWe2KoAGcQnJV8ELgJOARkmUjboqIrwwryGa+IrBBGXQtwNat8Ld/23s8mzbBPfcc3t5orJwlVOn6ABuZnuoIMg7ySyTrA/174LiIyLNL2cA5EdigDLoWoN99AopQuvoAG5le9yP4VZavBl5IsmPZTST7FY9k43qzQRr1vgDDME7fxYqzWkHZB0l+8D8P/JdedykzK6sNG7KvCEo3p74P4/RdrDir1RGcHhFvjIjrnARsHA26FmDLlv7i2bQpu721eKzS9QFWSnn2IzAbS4OuBfjylw9PBlu2ZNcBZLXdfXd2+9VXj1F9gJVS7sHisvBgsZlZ9/raj8DMsvUzl7+bOf/91Ae4tsDyWG3W0GeBtpcLEfGyQiIyq4DWGoR9++Cii1bO5d+3b3lNoOZbNFmfzerXbd88Meb9rNXLagVl/2K1D6Yb2w+dbw1ZGXSz/n/rXP5u6hf6qXUY1p4JVg0DKSgrCycCK4M1a5Lq3jwkePrpzp9t7ddt37wx5vmsjZ++xggknSjp45LukfSdpcfgwzSrjm7m57f27WYvg372PRjWnglWfXkGi68CLgcOAb8GfAi4psigzMouqwYh71z+buoX+ql1GNaeCTYGImLVB7An/XtnU9sNnT5X1OOMM84IszK49tqIjRsjpOTvtddmt+X9bDfn6SdGqydgIdr8rnYcI5D0DeCfAx8HvgJ8D/iziDipwPzUlscIzMy6128dwSXAFMlWlWcArwN+b2DRmZnZSOVJBDMR8WRE7I+IiyLidwAPN9nAVKHoyRvB2DjLc2tob0Sc3qltWHxraLwMenOYImTFmLU5TNniNmvWUx2BpJcAFwC/C3y06a3nAJsiYvOgA83DiWC8VKHoqZ/iMbOy6GljGuBhYAF4GbCnqf0Jkl3KzPpWhc1huomlTHGb5dU2EUTE7cDtkj6c9tsQEfcNLTKrhSpsDtMuxnZ9zaomz2Dx+cBtwBcAJJ0q6TNFBmX1UYWip6wYszaHKVvcZnnlSQTvADYDPwKIiNuAmaICsnoZ9OYwRciKMWtzmLLFbZZXnllDN0fEmZL+ISJOS9vuiIhfHUqELTxYbGbWvX4Lyu6S9FqgkS5A9x7gxhwn3S3pUUl3tXlfkt4t6X5Jd0gayXRUq7YdO2BiIvlX+cRE8rqffjD4jWBcb2Cl127tiaUHSVXxZcCt6eO/As/M8bkXA6cDd7V5/wLg84CAs4CbOx0zvNaQNZmbi0hm8698zM311i8iWYtnamplv6mpfGv0ZH12cjJi7drejmc2SPSy1pCkZwIXAycAdwJXRsShbpKMpBngcxHxgoz33g98LSKuS1/fB5wbEY+sdkzfGrIlExOwuHh4e6MBhw513w+K2Qgmi+sNbNh6vTV0NTBLkgReAvzlgONaD3y36fX+tO0wkrZLWpC0cODAgQGHYVWV9eOe1Z63H/RX1+B6A6uq1RLBpoh4XUS8H3gVya2eQVJGW+blSUTsiojZiJidnp4ecBhWVY1Gvva8/aCYjWD67WtWtNUSwc9XUen2llBO+4Fjm14fQ1LNbJbL0kbsndrz9oPBbwSTd7Mas5FqN3gALAKPp48nSHYoW3r+eLvPtRxjhvaDxb/JysHiW/Ic04PF1mxuLqLRSAZhG43sAeBu+kUMfiMYbw5jZUA/G9P0StJ1wLnAOuD7wNuByTT5XCFJwHtJKpcPAhdFRMdRYA8Wm5l1r9dF5/oSERd2eD+A1xd1fjMzyydPQZmZmY0xJwIzs5pzIjAzqzknAjOzmnMiMDOrOScCM7OacyIwM6s5JwIzs5pzIjAzqzknAjOzmnMiMDOrOScCM7OacyIwM6s5JwIzs5pzIjAzqzknAjOzmnMiMDOrOScCM7OacyIwM6s5JwIzs5pzIjAzqzknAjOzmnMiMDOrOScCM7OacyIo2vw8zMzAmjXJ3/n5UUdkZrbCxKgDGGvz87B9Oxw8mLzety95DbBt2+jiMjNr4iuCIl166XISWHLwYNJuZlYSTgRFeuih7trNzEbAiaBIGzZ0125mNgJOBEW67DKYmlrZNjWVtJuZlYQTQZG2bYNdu2DjRpCSv7t2eaDYzErFs4aKtm2bf/jNrNQKvSKQdL6k+yTdL+ktGe+fK+nHkm5LH28rMp5ScX2BmZVEYVcEkhrA+4DfAPYDt0r6TETc09L1hoh4aVFxlJLrC8ysRIq8ItgM3B8R34mIp4CPAC8v8HzV4foCMyuRIhPBeuC7Ta/3p22tzpZ0u6TPSzo560CStktakLRw4MCBImIdLtcXmFmJFJkIlNEWLa/3Ahsj4hTgPcCnsw4UEbsiYjYiZqenpwcb5Si4vsDMSqTIRLAfOLbp9THAw80dIuLxiHgyfX49MClpXYExlYPrC8ysRIpMBLcCJ0o6TtJa4DXAZ5o7SHquJKXPN6fx/KDAmMrB9QVmViKFzRqKiEOS3gB8EWgAuyPibkkXp+9fAbwKmJN0CPgJ8JqIaL19NJ5cX2BmJVFoHUFEXB8RvxIRx0fEZWnbFWkSICLeGxEnR8QpEXFWRNxYZDw9yzvnf+vW5F/4S4+tW9t/Nu8xXW9gZkWLiEo9zjjjjBiqa6+NmJqKgOXH1FTS3mzLlpV9lh7S4Z+dm8t3zLznNjPrAFiINr+riordiZmdnY2FhYXhnXBmJin4arVxIzz44PJrZU2SaqPRgMXFzsfMe24zsw4k7YmI2az3vOhcJ0XM+c9KAlnHdL2BmQ2BE0EnRcz5bzTyHdP1BmY2BE4EneSd879lS/bnW28ZTU0l6wrlOabrDcxsCJwIOsk75//LXz48GWzZAtdcc/hnd+7Md0zXG5jZEHiw2MysBjxY3K8dO2BiIvlX+cRE8rqbmoEsrg8ws5LwFUEnO3bA5Zfn6ysls/2XTE1l38pp3Y9gtb5mZgOw2hWBE0EnExPtp3vmkTXn3/UBZjZkvjXUj36SAGTP+Xd9gJmViBNBJ+3m/OeVNeff9QFmViJOBJ0s7SWcR1bNQNacf9cHmFmJOBF0snMnzM0tXxk0GsnrvDUDWYO/rg8wsxLxYLGZWQ14sNjMzNqqRyLopngrq3js5JNXFo+dfDKsXbuybe3a5D5/c9vUFKxfv7Jt/fruYnLhmZkVrd1GBWV9dL0xTTebu8zNZW8uM+jHUUd5YxozGypqvTFNN8Vb/RaP9csb05hZQeo9RtBN8dYokwB4YxozG4nxTwTdFG/1WzzWL29MY2YjMP6JoJvirW6Kx/px1FHemMbMSmP8E0E3xVvtisc2bVrZb9MmmJxc2TY5CUccsbLtiCPg6KNXth19NPzwh96YxsxKY/wHi83MrOaDxavpZ45+Vr1BVpuZWclNjDqAkWndHGbfvuUxgk63Xlo3q1lcPHzzmua2nTsHE7OZWQHqe2uonzn63dQbNBpw6FC30ZmZDZRvDWXpZ45+N/UGo65NMDProL6JoJ85+t3UG4y6NsHMrIP6JoJ+5uh3U28wrNoEM7Me1TcR9DNHv129QVabB4rNrOTqO1hsZlYjIxsslnS+pPsk3S/pLRnvS9K70/fvkHR6kfGYmdnhCksEkhrA+4CXAJuACyW1rNXAS4AT08d2oGUyvpmZFa3IK4LNwP0R8Z2IeAr4CPDylj4vBz6U7pvwTeAoSc8rMCYzM2tRZCJYD3y36fX+tK3bPkjaLmlB0sKBAwcGHqiZWZ0VmQiU0dY6Mp2nDxGxKyJmI2J2enp6IMGZmVmiyLWG9gPHNr0+Bni4hz4r7Nmz5zFJGWtD5LIOeKzHz5aRv095jdN3gfH6PuP0XSD/99nY7o0iE8GtwImSjgO+B7wGeG1Ln88Ab5D0EeBM4McR8chqB42Ini8JJC20mz5VRf4+5TVO3wXG6/uM03eBwXyfwhJBRByS9Abgi0AD2B0Rd0u6OH3/CuB64ALgfuAgcFFR8ZiZWbZCl6GOiOtJfuyb265oeh7A64uMwczMVle3JSZ2jTqAAfP3Ka9x+i4wXt9nnL4LDOD7VG6JCTMzG6y6XRGYmVkLJwIzs5qrRSKQtFvSo5LuGnUsgyDpWElflXSvpLslvWnUMfVK0jMl3SLp9vS7vHPUMfVLUkPSP0j63Khj6ZekByXdKek2SZVf9lfSUZI+Lulb6X8/Z486pl5JOin9/2Xp8bikS3o6Vh3GCCS9GHiSZF2jF4w6nn6l6zE9LyL2Sno2sAd4RUTcM+LQuiZJwLMi4klJk8DXgTela09VkqQ3A7PAcyLipaOOpx+SHgRmI2IsCrAkXQ3cEBEfkLQWmIqIH404rL6li3x+DzgzIrouuK3FFUFE/D3wf0cdx6BExCMRsTd9/gRwLxlrNFVBuuDgk+nLyfRR2X+dSDoG+E3gA6OOxVaS9BzgxcCVABHx1DgkgdQW4Nu9JAGoSSIYZ5JmgNOAm0ccSs/SWym3AY8CX4qIyn4X4K+A/wg8PeI4BiWA/y1pj6Sq77v6y8AB4Kr01t0HJD1r1EENyGuA63r9sBNBhUk6EvgEcElEPD7qeHoVEYsRcSrJWlObJVXy9p2klwKPRsSeUccyQOdExOkke4e8Pr3NWlUTwOnA5RFxGvD/gMM2zKqa9BbXy4C/6fUYTgQVld5P/wQwHxGfHHU8g5Bepn8NOH+0kfTsHOBl6X31jwC/Luna0YbUn4h4OP37KPApkn1Gqmo/sL/pivPjJImh6l4C7I2I7/d6ACeCCkoHWK8E7o2Id406nn5ImpZ0VPr8CGAr8K2RBtWjiPhPEXFMRMyQXKp/JSJeN+KweibpWelkBNJbKOcBlZ15FxH/CHxX0klp0xagchMsMlxIH7eFoOC1hspC0nXAucA6SfuBt0fElaONqi/nAP8SuDO9tw7w1nRtp6p5HnB1OuthDfCxiKj8tMsx8UvAp5J/dzABfDgivjDakPr2RmA+vZ3yHSq+0KWkKeA3gD/o6zh1mD5qZmbt+daQmVnNORGYmdWcE4GZWc05EZiZ1ZwTgZlZzTkR2NiRtJiuxniXpL9Jp9i163uqpAtyHPPcrNVE27UPSrpa5o5hnc/qyYnAxtFPIuLUdKXZp4CLV+l7KtAxEYzQUcCOTp3M+uFEYOPuBuCEtEp2t6Rb0wXHXp4WFf0x8Or0CuLVkjZLujHtc2NTFWpXJJ0n6SZJe9OrkiPT9gclvTNtv1PS89P2aUlfStvfL2mfpHXAnwHHp/H9RXr4I5vW1J9PK83NeuZEYGNL0gTJOix3ApeSLPnwz4BfA/6CZMnrtwEfTa8gPkqyvMWL00XJ3gb8aQ/nXQf8Z2BrumDbAvDmpi6Ppe2XA3+Utr09je90kjV9NqTtbyFZXvjUiPgPadtpwCXAJpIVNc/pNkazZrVYYsJq54impTduIFmX6UaSBeGWfnifyfKPbbNfIFny4kSSJZgnezj/WSQ/0t9I/7G+Frip6f2lRQL3AK9Mn78I+G2AiPiCpB+ucvxbImI/QPo9Z0g29DHriROBjaOfpMta/1x6++R3IuK+lvYzWz77J8BXI+K3070evtbD+UWyr8KFbd7/afp3keX/Bru5vfPTpufNxzDriW8NWV18EXjj0v10Sael7U8Az27q9wskW/4B/H6P5/omcI6kE9JzTUn6lQ6f+Trwu2n/84B/0iY+s4FzIrC6+BOS2zx3SLorfQ3wVWDT0mAx8OfAf5P0DaCR89hbJO1fegAnkCSR6yTdQZIYnt/hGO8EzpO0l2Rc4xHgiYj4AcktpruaBovNBsqrj5qVgKRnAIsRcUjS2SS7aJ064rCsJnxv0awcNgAfk7SGpPbh3444HqsRXxGYmdWcxwjMzGrOicDMrOacCMzMas6JwMys5pwIzMxq7v8D+lDMMBz/+LkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.xlabel('Petal Length')\n",
    "plt.ylabel('Petal Width')\n",
    "plt.scatter(df1['petal length (cm)'],df1['petal width (cm)'],color='red')\n",
    "plt.scatter(df2['petal length (cm)'],df2['petal width (cm)'],color='blue')\n",
    "plt.scatter(df3['petal length (cm)'],df3['petal width (cm)'],color='orange')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3ae6bf26",
   "metadata": {},
   "source": [
    "## Sepal Length Versus Sepal Width"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "be8c8b67",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x23a6129af10>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.xlabel('Sepal Length')\n",
    "plt.ylabel('Sepal Width')\n",
    "plt.scatter(df1['sepal length (cm)'],df1['sepal width (cm)'],color='red')\n",
    "plt.scatter(df2['sepal length (cm)'],df2['sepal width (cm)'],color='blue')\n",
    "plt.scatter(df3['sepal length (cm)'],df3['sepal width (cm)'],color='orange')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1e1f8f16",
   "metadata": {},
   "source": [
    "## Support Vector Machine (SVM)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "c4a19ba7",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "78862c58",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df.drop(['target','flower_name'], axis='columns')\n",
    "y = df.target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "489eec98",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal length (cm)</th>\n",
       "      <th>sepal width (cm)</th>\n",
       "      <th>petal length (cm)</th>\n",
       "      <th>petal width (cm)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>6.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)\n",
       "0                  5.1               3.5                1.4               0.2\n",
       "1                  4.9               3.0                1.4               0.2\n",
       "2                  4.7               3.2                1.3               0.2\n",
       "3                  4.6               3.1                1.5               0.2\n",
       "4                  5.0               3.6                1.4               0.2\n",
       "..                 ...               ...                ...               ...\n",
       "145                6.7               3.0                5.2               2.3\n",
       "146                6.3               2.5                5.0               1.9\n",
       "147                6.5               3.0                5.2               2.0\n",
       "148                6.2               3.4                5.4               2.3\n",
       "149                5.9               3.0                5.1               1.8\n",
       "\n",
       "[150 rows x 4 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "070886c5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      0\n",
       "1      0\n",
       "2      0\n",
       "3      0\n",
       "4      0\n",
       "      ..\n",
       "145    2\n",
       "146    2\n",
       "147    2\n",
       "148    2\n",
       "149    2\n",
       "Name: target, Length: 150, dtype: int32"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "c2630405",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, train_size=0.7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "6738625d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "105"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(X_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "1156213d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "45"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "b80f1e3d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "105"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "8910fecc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "45"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "b8000100",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.svm import SVC\n",
    "model = SVC()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "4d897dde",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>SVC()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">SVC</label><div class=\"sk-toggleable__content\"><pre>SVC()</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "SVC()"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "b3fd5359",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Admin\\anaconda3\\lib\\site-packages\\sklearn\\base.py:450: UserWarning: X does not have valid feature names, but SVC was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([0])"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.predict([[5.2,3.1,2.4,1.5]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "ea06418d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2, 1, 0, 1, 1, 1, 2, 2, 2, 1, 1, 1, 2, 0, 2, 1, 0, 2, 2, 1, 0, 2,\n",
       "       2, 2, 1, 0, 2, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 2, 1, 1, 2, 1, 2,\n",
       "       1])"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "5f3a3108",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9777777777777777"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.score(X_test,y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "21ef8b9d",
   "metadata": {},
   "source": [
    "## Tuning Parameters"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe48626c",
   "metadata": {},
   "source": [
    "## Regularization(C)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "a508991a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9777777777777777"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_reg = SVC(C=1)\n",
    "model_reg.fit(X_train,y_train)\n",
    "model_reg.score(X_test,y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "8fd72c63",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9777777777777777"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_reg = SVC(C=7)\n",
    "model_reg.fit(X_train,y_train)\n",
    "model_reg.score(X_test,y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2cdbb047",
   "metadata": {},
   "source": [
    "## Gamma"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "0dbffb1c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9555555555555556"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_G = SVC(gamma=1)\n",
    "model_G.fit(X_train,y_train)\n",
    "model_G.score(X_test,y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "34233c60",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9555555555555556"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_G = SVC(gamma=5)\n",
    "model_G.fit(X_train,y_train)\n",
    "model_G.score(X_test,y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb823f67",
   "metadata": {},
   "source": [
    "## Kernel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "4b79f8a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_kernel = SVC(kernel='linear')\n",
    "model_kernel.fit(X_train,y_train)\n",
    "model_kernel.score(X_test,y_test)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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