Pulsar_star_prediction.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Pulsar_star_prediction.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "V6mFn75mkQRL"
      },
      "source": [
        "Importing the Libraries\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RE5-aNQCDMWJ"
      },
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import tensorflow as tf\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from sklearn.impute import SimpleImputer\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.metrics import confusion_matrix, classification_report,accuracy_score"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-Y2oEf7vsOA0"
      },
      "source": [
        "Importing the CSV file\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 272
        },
        "id": "CQnhQlm8GCbt",
        "outputId": "6ff09e6e-2646-4a5b-cbc9-a63157bc411e"
      },
      "source": [
        "df = pd.read_csv('pulsar_data_train.csv')\n",
        "df.head()"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Mean of the integrated profile</th>\n",
              "      <th>Standard deviation of the integrated profile</th>\n",
              "      <th>Excess kurtosis of the integrated profile</th>\n",
              "      <th>Skewness of the integrated profile</th>\n",
              "      <th>Mean of the DM-SNR curve</th>\n",
              "      <th>Standard deviation of the DM-SNR curve</th>\n",
              "      <th>Excess kurtosis of the DM-SNR curve</th>\n",
              "      <th>Skewness of the DM-SNR curve</th>\n",
              "      <th>target_class</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>121.156250</td>\n",
              "      <td>48.372971</td>\n",
              "      <td>0.375485</td>\n",
              "      <td>-0.013165</td>\n",
              "      <td>3.168896</td>\n",
              "      <td>18.399367</td>\n",
              "      <td>7.449874</td>\n",
              "      <td>65.159298</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>76.968750</td>\n",
              "      <td>36.175557</td>\n",
              "      <td>0.712898</td>\n",
              "      <td>3.388719</td>\n",
              "      <td>2.399666</td>\n",
              "      <td>17.570997</td>\n",
              "      <td>9.414652</td>\n",
              "      <td>102.722975</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>130.585938</td>\n",
              "      <td>53.229534</td>\n",
              "      <td>0.133408</td>\n",
              "      <td>-0.297242</td>\n",
              "      <td>2.743311</td>\n",
              "      <td>22.362553</td>\n",
              "      <td>8.508364</td>\n",
              "      <td>74.031324</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>156.398438</td>\n",
              "      <td>48.865942</td>\n",
              "      <td>-0.215989</td>\n",
              "      <td>-0.171294</td>\n",
              "      <td>17.471572</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.958066</td>\n",
              "      <td>7.197842</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>84.804688</td>\n",
              "      <td>36.117659</td>\n",
              "      <td>0.825013</td>\n",
              "      <td>3.274125</td>\n",
              "      <td>2.790134</td>\n",
              "      <td>20.618009</td>\n",
              "      <td>8.405008</td>\n",
              "      <td>76.291128</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    Mean of the integrated profile  ...  target_class\n",
              "0                       121.156250  ...           0.0\n",
              "1                        76.968750  ...           0.0\n",
              "2                       130.585938  ...           0.0\n",
              "3                       156.398438  ...           0.0\n",
              "4                        84.804688  ...           0.0\n",
              "\n",
              "[5 rows x 9 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hNCXea4KsUW-"
      },
      "source": [
        "Checking out for missing values, DataTypes etc from the Dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sGiIeiknL6rU",
        "outputId": "066896ec-9155-4443-abf7-34c8a2a7a03d"
      },
      "source": [
        "df.info()"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 12528 entries, 0 to 12527\n",
            "Data columns (total 9 columns):\n",
            " #   Column                                         Non-Null Count  Dtype  \n",
            "---  ------                                         --------------  -----  \n",
            " 0    Mean of the integrated profile                12528 non-null  float64\n",
            " 1    Standard deviation of the integrated profile  12528 non-null  float64\n",
            " 2    Excess kurtosis of the integrated profile     10793 non-null  float64\n",
            " 3    Skewness of the integrated profile            12528 non-null  float64\n",
            " 4    Mean of the DM-SNR curve                      12528 non-null  float64\n",
            " 5    Standard deviation of the DM-SNR curve        11350 non-null  float64\n",
            " 6    Excess kurtosis of the DM-SNR curve           12528 non-null  float64\n",
            " 7    Skewness of the DM-SNR curve                  11903 non-null  float64\n",
            " 8   target_class                                   12528 non-null  float64\n",
            "dtypes: float64(9)\n",
            "memory usage: 881.0 KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 365
        },
        "id": "rmLAED1UL8Xm",
        "outputId": "13953983-9ca6-4d6b-92a4-dd86b1d511d4"
      },
      "source": [
        "df.describe()"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Mean of the integrated profile</th>\n",
              "      <th>Standard deviation of the integrated profile</th>\n",
              "      <th>Excess kurtosis of the integrated profile</th>\n",
              "      <th>Skewness of the integrated profile</th>\n",
              "      <th>Mean of the DM-SNR curve</th>\n",
              "      <th>Standard deviation of the DM-SNR curve</th>\n",
              "      <th>Excess kurtosis of the DM-SNR curve</th>\n",
              "      <th>Skewness of the DM-SNR curve</th>\n",
              "      <th>target_class</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>12528.000000</td>\n",
              "      <td>12528.000000</td>\n",
              "      <td>10793.000000</td>\n",
              "      <td>12528.000000</td>\n",
              "      <td>12528.000000</td>\n",
              "      <td>11350.000000</td>\n",
              "      <td>12528.000000</td>\n",
              "      <td>11903.000000</td>\n",
              "      <td>12528.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>111.041841</td>\n",
              "      <td>46.521437</td>\n",
              "      <td>0.478548</td>\n",
              "      <td>1.778431</td>\n",
              "      <td>12.674758</td>\n",
              "      <td>26.351318</td>\n",
              "      <td>8.333489</td>\n",
              "      <td>105.525779</td>\n",
              "      <td>0.092034</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>25.672828</td>\n",
              "      <td>6.801077</td>\n",
              "      <td>1.064708</td>\n",
              "      <td>6.208450</td>\n",
              "      <td>29.613230</td>\n",
              "      <td>19.610842</td>\n",
              "      <td>4.535783</td>\n",
              "      <td>107.399585</td>\n",
              "      <td>0.289085</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>5.812500</td>\n",
              "      <td>24.772042</td>\n",
              "      <td>-1.738021</td>\n",
              "      <td>-1.791886</td>\n",
              "      <td>0.213211</td>\n",
              "      <td>7.370432</td>\n",
              "      <td>-3.139270</td>\n",
              "      <td>-1.976976</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>100.871094</td>\n",
              "      <td>42.362222</td>\n",
              "      <td>0.024652</td>\n",
              "      <td>-0.188142</td>\n",
              "      <td>1.910535</td>\n",
              "      <td>14.404353</td>\n",
              "      <td>5.803063</td>\n",
              "      <td>35.199899</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>115.183594</td>\n",
              "      <td>46.931022</td>\n",
              "      <td>0.223678</td>\n",
              "      <td>0.203317</td>\n",
              "      <td>2.792642</td>\n",
              "      <td>18.412402</td>\n",
              "      <td>8.451097</td>\n",
              "      <td>83.126301</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>127.109375</td>\n",
              "      <td>50.979103</td>\n",
              "      <td>0.473125</td>\n",
              "      <td>0.932374</td>\n",
              "      <td>5.413253</td>\n",
              "      <td>28.337418</td>\n",
              "      <td>10.727927</td>\n",
              "      <td>139.997850</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>189.734375</td>\n",
              "      <td>91.808628</td>\n",
              "      <td>8.069522</td>\n",
              "      <td>68.101622</td>\n",
              "      <td>222.421405</td>\n",
              "      <td>110.642211</td>\n",
              "      <td>34.539844</td>\n",
              "      <td>1191.000837</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        Mean of the integrated profile  ...  target_class\n",
              "count                     12528.000000  ...  12528.000000\n",
              "mean                        111.041841  ...      0.092034\n",
              "std                          25.672828  ...      0.289085\n",
              "min                           5.812500  ...      0.000000\n",
              "25%                         100.871094  ...      0.000000\n",
              "50%                         115.183594  ...      0.000000\n",
              "75%                         127.109375  ...      0.000000\n",
              "max                         189.734375  ...      1.000000\n",
              "\n",
              "[8 rows x 9 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OafEdU8LL3we",
        "outputId": "8546ee3f-5f60-48ac-e822-c9e711b64983"
      },
      "source": [
        "df.isnull().sum()"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              " Mean of the integrated profile                     0\n",
              " Standard deviation of the integrated profile       0\n",
              " Excess kurtosis of the integrated profile       1735\n",
              " Skewness of the integrated profile                 0\n",
              " Mean of the DM-SNR curve                           0\n",
              " Standard deviation of the DM-SNR curve          1178\n",
              " Excess kurtosis of the DM-SNR curve                0\n",
              " Skewness of the DM-SNR curve                     625\n",
              "target_class                                        0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3TpM7CluGKpo",
        "outputId": "89e2f9d0-e7e3-4675-c0bb-ae44681b6816"
      },
      "source": [
        "x = df.iloc[:,0:8].values\n",
        "y = df.iloc[:,-1].values\n",
        "print(x)\n",
        "print(y)"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[ 1.21156250e+02  4.83729711e+01  3.75484665e-01 ...  1.83993666e+01\n",
            "   7.44987415e+00  6.51592977e+01]\n",
            " [ 7.69687500e+01  3.61755566e+01  7.12897860e-01 ...  1.75709969e+01\n",
            "   9.41465226e+00  1.02722975e+02]\n",
            " [ 1.30585938e+02  5.32295335e+01  1.33408289e-01 ...  2.23625530e+01\n",
            "   8.50836378e+00  7.40313242e+01]\n",
            " ...\n",
            " [ 1.16031250e+02  4.32138464e+01  6.63455691e-01 ...  1.16281494e+01\n",
            "   1.70552145e+01  3.12204325e+02]\n",
            " [ 1.35664062e+02  4.99337494e+01 -8.99403060e-02 ...  2.15015050e+01\n",
            "   7.39839490e+00  6.23340175e+01]\n",
            " [ 1.20726562e+02  5.04722564e+01  3.46178079e-01 ...  1.17926025e+01\n",
            "   1.76622219e+01  3.29548016e+02]]\n",
            "[0. 0. 0. ... 0. 0. 0.]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HYN8Gle6sDnl"
      },
      "source": [
        "Operating on the Missing Values of data\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "R5mKr_CxGaPI",
        "outputId": "92bc8a41-e462-45f1-a37f-105093873f5d"
      },
      "source": [
        "imputer = SimpleImputer(missing_values = np.nan, strategy = 'mean')\n",
        "imputer.fit(x[:,0:8])\n",
        "x[:,0:8] = imputer.transform(x[:,0:8])\n",
        "x[:,0:8]"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 1.21156250e+02,  4.83729711e+01,  3.75484665e-01, ...,\n",
              "         1.83993666e+01,  7.44987415e+00,  6.51592977e+01],\n",
              "       [ 7.69687500e+01,  3.61755566e+01,  7.12897860e-01, ...,\n",
              "         1.75709969e+01,  9.41465226e+00,  1.02722975e+02],\n",
              "       [ 1.30585938e+02,  5.32295335e+01,  1.33408289e-01, ...,\n",
              "         2.23625530e+01,  8.50836378e+00,  7.40313242e+01],\n",
              "       ...,\n",
              "       [ 1.16031250e+02,  4.32138464e+01,  6.63455691e-01, ...,\n",
              "         1.16281494e+01,  1.70552145e+01,  3.12204325e+02],\n",
              "       [ 1.35664062e+02,  4.99337494e+01, -8.99403060e-02, ...,\n",
              "         2.15015050e+01,  7.39839490e+00,  6.23340175e+01],\n",
              "       [ 1.20726562e+02,  5.04722564e+01,  3.46178079e-01, ...,\n",
              "         1.17926025e+01,  1.76622219e+01,  3.29548016e+02]])"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GMffZnggKRMz",
        "outputId": "feb6e529-e8e0-4b8a-e5da-d87a2ca6df1f"
      },
      "source": [
        "df.isnull().sum() #Now we have no missing values"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              " Mean of the integrated profile                  0\n",
              " Standard deviation of the integrated profile    0\n",
              " Excess kurtosis of the integrated profile       0\n",
              " Skewness of the integrated profile              0\n",
              " Mean of the DM-SNR curve                        0\n",
              " Standard deviation of the DM-SNR curve          0\n",
              " Excess kurtosis of the DM-SNR curve             0\n",
              " Skewness of the DM-SNR curve                    0\n",
              "target_class                                     0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fmtHrsZastQ7"
      },
      "source": [
        "Splitting the Dataset into Training Set and Test Set"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZK3x0qF9Hip3",
        "outputId": "7f86ea1e-e11d-42fa-f138-f09d4a7081bc"
      },
      "source": [
        "x_train,x_test,y_train,y_test = train_test_split(x,y,test_size = 0.25,random_state = 0)\n",
        "print(x_train)\n",
        "print(x_test)\n",
        "print(y_train)\n",
        "print(y_test)\n"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[ 1.24601562e+02  5.67984842e+01 -1.00080445e-01 ...  1.76487712e+01\n",
            "   1.01304706e+01  1.11697342e+02]\n",
            " [ 1.07375000e+02  4.86381730e+01  2.18811901e-01 ...  2.21020499e+01\n",
            "   9.17302993e+00  8.51330343e+01]\n",
            " [ 8.29609375e+01  3.62136461e+01  7.43457277e-01 ...  1.24546718e+01\n",
            "   1.22392783e+01  1.88518602e+02]\n",
            " ...\n",
            " [ 7.84218750e+01  3.30817192e+01  2.05681164e+00 ...  1.97352670e+01\n",
            "   1.06547546e+01  1.16145304e+02]\n",
            " [ 1.26406250e+02  4.92635510e+01 -5.31769490e-02 ...  2.36088441e+01\n",
            "   6.97306518e+00  5.21720817e+01]\n",
            " [ 1.08109375e+02  5.53655797e+01  1.83769640e-01 ...  2.90941814e+01\n",
            "   5.86070929e+00  3.81944075e+01]]\n",
            "[[ 1.16828125e+02  5.06683625e+01  7.77529390e-02 ...  9.86602499e+00\n",
            "   1.74286459e+01  3.90291581e+02]\n",
            " [ 1.23937500e+02  4.62562073e+01  2.33668745e-01 ...  2.77142958e+01\n",
            "   5.11567785e+00  2.74753175e+01]\n",
            " [ 1.46335938e+02  6.87449177e+01  4.78547749e-01 ...  8.31691296e+01\n",
            "  -6.08066993e-01  1.05525779e+02]\n",
            " ...\n",
            " [ 1.34468750e+02  5.33114284e+01  1.89971280e-02 ...  1.63833374e+01\n",
            "   1.04434457e+01  1.16687166e+02]\n",
            " [ 1.04492188e+02  4.36754715e+01  6.32629442e-01 ...  1.28367254e+01\n",
            "   1.45627877e+01  2.30161938e+02]\n",
            " [ 1.38289062e+02  4.65752336e+01 -2.62935318e-01 ...  1.74598825e+01\n",
            "   8.31363603e+00  8.12805404e+01]]\n",
            "[0. 0. 0. ... 1. 0. 0.]\n",
            "[0. 0. 0. ... 0. 0. 0.]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "r8OG-_gnszlg"
      },
      "source": [
        "Feature Scaling"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZY9omn9THGAk",
        "outputId": "636e8696-958b-43b6-973e-f0b6e95fd85c"
      },
      "source": [
        "sc = StandardScaler()\n",
        "x_train = sc.fit_transform(x_train)\n",
        "x_test = sc.transform(x_test)\n",
        "print(x_train)\n",
        "print(x_test)"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[ 0.52769526  1.51430917 -0.58688847 ... -0.46541636  0.39775244\n",
            "   0.06091633]\n",
            " [-0.13990368  0.31368487 -0.26425542 ... -0.22768078  0.18602849\n",
            "  -0.19557446]\n",
            " [-1.08604732 -1.51433229  0.26654419 ... -0.7427002   0.8640843\n",
            "   0.80266144]\n",
            " ...\n",
            " [-1.26195434 -1.97513181  1.59530457 ... -0.35403005  0.51369015\n",
            "   0.10386348]\n",
            " [ 0.5976342   0.40569656 -0.53943478 ... -0.14724149 -0.30046142\n",
            "  -0.51382783]\n",
            " [-0.11144368  1.30348632 -0.29970874 ...  0.14558991 -0.5464426\n",
            "  -0.6487888 ]]\n",
            "[[ 2.26443129e-01  6.12386080e-01 -4.06969047e-01 ... -8.80893531e-01\n",
            "   2.01163676e+00  2.75087370e+00]\n",
            " [ 5.01960154e-01 -3.67730695e-02 -2.49224305e-01 ...  7.19255558e-02\n",
            "  -7.11195362e-01 -7.52286615e-01]\n",
            " [ 1.36999017e+00  3.27198457e+00 -1.47280034e-03 ...  3.03234815e+00\n",
            "  -1.97691751e+00  1.32700988e-03]\n",
            " ...\n",
            " [ 9.10088670e-01  1.00125962e+00 -4.66414080e-01 ... -5.32970769e-01\n",
            "   4.66962279e-01  1.09095408e-01]\n",
            " [-2.51624325e-01 -4.16476005e-01  1.54416314e-01 ... -7.22304493e-01\n",
            "   1.37789429e+00  1.20474728e+00]\n",
            " [ 1.05814123e+00  1.01651657e-02 -7.51653674e-01 ... -4.75500062e-01\n",
            "  -4.01385617e-03 -2.32772082e-01]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3s8BqTnrr_-U"
      },
      "source": [
        "Data Visualization\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "xTjyV_nIoHB6",
        "outputId": "459fee02-cd68-4f9a-cf1d-efa40f4a6473"
      },
      "source": [
        "df.hist(bins = 10, figsize = (30,30), color='red')\n",
        "plt.show()"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 2160x2160 with 9 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 983
        },
        "id": "iPfOuaJSdYYr",
        "outputId": "3d2e19e5-8a9a-4b20-daae-42054d81ab56"
      },
      "source": [
        "sns.pairplot(data=df,\n",
        "             palette=\"husl\",\n",
        "             hue=\"target_class\",\n",
        "             vars=[\" Mean of the integrated profile\",\n",
        "                   \" Excess kurtosis of the integrated profile\",\n",
        "                   \" Skewness of the integrated profile\",\n",
        "                   \" Mean of the DM-SNR curve\",\n",
        "                   \" Excess kurtosis of the DM-SNR curve\",\n",
        "                   \" Skewness of the DM-SNR curve\"])\n",
        "\n",
        "plt.suptitle(\"PairPlot of Data Without Std. Dev. Fields\",fontsize=18)\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show() "
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1148.38x1080 with 42 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 336
        },
        "id": "YDe6v3O9YFcg",
        "outputId": "76a58721-ab32-4d21-9ae2-b399bacdec26"
      },
      "source": [
        "pulsar_count =  df[\"target_class\"].value_counts()[1]\n",
        "not_pulsar_count = df[\"target_class\"].value_counts()[0]\n",
        "plt.figure(figsize=(5,5))\n",
        "plt.pie(df[\"target_class\"].value_counts().values,labels=[\"not pulsar stars\",\"pulsar stars\"], autopct=\"%1.0f%%\")\n",
        "plt.title(\"Proportion of Pulsar Stars in dataset\")\n",
        "plt.show()\n",
        "print(\"There are \" + str(pulsar_count) + \" signals that belong to pulsar stars \" \n",
        "      + \"and \" + str(not_pulsar_count) + \" signals that aren't from pulsars.\")"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 360x360 with 1 Axes>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "There are 1153 signals that belong to pulsar stars and 11375 signals that aren't from pulsars.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2GjYDrQkrX0n"
      },
      "source": [
        "Building the Artifical Neural Network"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "V5cowMYYIn2-"
      },
      "source": [
        "ann = tf.keras.models.Sequential()\n",
        "ann.add(tf.keras.layers.Dense(units = 8,activation = 'relu'))\n",
        "ann.add(tf.keras.layers.Dense(units = 8,activation = 'relu'))\n",
        "ann.add(tf.keras.layers.Dense(units = 1,activation = 'sigmoid'))"
      ],
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Fi_MBUVArmIz"
      },
      "source": [
        "Training the Artifical Neural Network"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RNb6aiaNKolX",
        "outputId": "6bcbfc22-22e8-4176-8e35-1464df13b93a"
      },
      "source": [
        "ann.compile(optimizer = 'sgd', loss = 'binary_crossentropy',metrics = ['accuracy'])\n",
        "ann.fit(x_train,y_train,batch_size = 32,epochs = 100)"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/100\n",
            "294/294 [==============================] - 1s 1ms/step - loss: 0.4797 - accuracy: 0.8868\n",
            "Epoch 2/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.2396 - accuracy: 0.9606\n",
            "Epoch 3/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.1573 - accuracy: 0.9648\n",
            "Epoch 4/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.1280 - accuracy: 0.9679\n",
            "Epoch 5/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.1159 - accuracy: 0.9687\n",
            "Epoch 6/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.1096 - accuracy: 0.9695\n",
            "Epoch 7/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.1057 - accuracy: 0.9697\n",
            "Epoch 8/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.1028 - accuracy: 0.9704\n",
            "Epoch 9/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.1005 - accuracy: 0.9707\n",
            "Epoch 10/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0987 - accuracy: 0.9714\n",
            "Epoch 11/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0971 - accuracy: 0.9718\n",
            "Epoch 12/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0956 - accuracy: 0.9722\n",
            "Epoch 13/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0942 - accuracy: 0.9729\n",
            "Epoch 14/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0931 - accuracy: 0.9728\n",
            "Epoch 15/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0920 - accuracy: 0.9724\n",
            "Epoch 16/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0910 - accuracy: 0.9730\n",
            "Epoch 17/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0900 - accuracy: 0.9735\n",
            "Epoch 18/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0891 - accuracy: 0.9732\n",
            "Epoch 19/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0882 - accuracy: 0.9736\n",
            "Epoch 20/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0876 - accuracy: 0.9738\n",
            "Epoch 21/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0869 - accuracy: 0.9737\n",
            "Epoch 22/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0862 - accuracy: 0.9738\n",
            "Epoch 23/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0858 - accuracy: 0.9741\n",
            "Epoch 24/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0852 - accuracy: 0.9748\n",
            "Epoch 25/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0847 - accuracy: 0.9746\n",
            "Epoch 26/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0843 - accuracy: 0.9749\n",
            "Epoch 27/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0839 - accuracy: 0.9752\n",
            "Epoch 28/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0836 - accuracy: 0.9753\n",
            "Epoch 29/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0832 - accuracy: 0.9753\n",
            "Epoch 30/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0829 - accuracy: 0.9753\n",
            "Epoch 31/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0824 - accuracy: 0.9755\n",
            "Epoch 32/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0823 - accuracy: 0.9757\n",
            "Epoch 33/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0819 - accuracy: 0.9761\n",
            "Epoch 34/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0818 - accuracy: 0.9759\n",
            "Epoch 35/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0816 - accuracy: 0.9759\n",
            "Epoch 36/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0813 - accuracy: 0.9758\n",
            "Epoch 37/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0811 - accuracy: 0.9761\n",
            "Epoch 38/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0809 - accuracy: 0.9763\n",
            "Epoch 39/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0807 - accuracy: 0.9763\n",
            "Epoch 40/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0805 - accuracy: 0.9763\n",
            "Epoch 41/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0803 - accuracy: 0.9761\n",
            "Epoch 42/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0801 - accuracy: 0.9762\n",
            "Epoch 43/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0799 - accuracy: 0.9759\n",
            "Epoch 44/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0798 - accuracy: 0.9764\n",
            "Epoch 45/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0796 - accuracy: 0.9761\n",
            "Epoch 46/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0795 - accuracy: 0.9761\n",
            "Epoch 47/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0793 - accuracy: 0.9763\n",
            "Epoch 48/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0792 - accuracy: 0.9763\n",
            "Epoch 49/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0790 - accuracy: 0.9764\n",
            "Epoch 50/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0790 - accuracy: 0.9764\n",
            "Epoch 51/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0788 - accuracy: 0.9764\n",
            "Epoch 52/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0787 - accuracy: 0.9765\n",
            "Epoch 53/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0786 - accuracy: 0.9766\n",
            "Epoch 54/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0784 - accuracy: 0.9763\n",
            "Epoch 55/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0782 - accuracy: 0.9767\n",
            "Epoch 56/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0781 - accuracy: 0.9766\n",
            "Epoch 57/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0780 - accuracy: 0.9769\n",
            "Epoch 58/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0779 - accuracy: 0.9768\n",
            "Epoch 59/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0778 - accuracy: 0.9768\n",
            "Epoch 60/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0777 - accuracy: 0.9769\n",
            "Epoch 61/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0776 - accuracy: 0.9769\n",
            "Epoch 62/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0774 - accuracy: 0.9771\n",
            "Epoch 63/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0773 - accuracy: 0.9771\n",
            "Epoch 64/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0773 - accuracy: 0.9772\n",
            "Epoch 65/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0771 - accuracy: 0.9773\n",
            "Epoch 66/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0770 - accuracy: 0.9771\n",
            "Epoch 67/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0769 - accuracy: 0.9773\n",
            "Epoch 68/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0768 - accuracy: 0.9770\n",
            "Epoch 69/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0768 - accuracy: 0.9772\n",
            "Epoch 70/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0767 - accuracy: 0.9774\n",
            "Epoch 71/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0766 - accuracy: 0.9775\n",
            "Epoch 72/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0765 - accuracy: 0.9772\n",
            "Epoch 73/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0764 - accuracy: 0.9775\n",
            "Epoch 74/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0764 - accuracy: 0.9782\n",
            "Epoch 75/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0762 - accuracy: 0.9778\n",
            "Epoch 76/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0762 - accuracy: 0.9783\n",
            "Epoch 77/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0761 - accuracy: 0.9781\n",
            "Epoch 78/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0760 - accuracy: 0.9781\n",
            "Epoch 79/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0759 - accuracy: 0.9779\n",
            "Epoch 80/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0758 - accuracy: 0.9778\n",
            "Epoch 81/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0757 - accuracy: 0.9783\n",
            "Epoch 82/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0757 - accuracy: 0.9781\n",
            "Epoch 83/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0756 - accuracy: 0.9782\n",
            "Epoch 84/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0755 - accuracy: 0.9783\n",
            "Epoch 85/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0754 - accuracy: 0.9783\n",
            "Epoch 86/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0753 - accuracy: 0.9782\n",
            "Epoch 87/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0753 - accuracy: 0.9788\n",
            "Epoch 88/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0752 - accuracy: 0.9784\n",
            "Epoch 89/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0752 - accuracy: 0.9782\n",
            "Epoch 90/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0751 - accuracy: 0.9782\n",
            "Epoch 91/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0750 - accuracy: 0.9786\n",
            "Epoch 92/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0750 - accuracy: 0.9787\n",
            "Epoch 93/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0749 - accuracy: 0.9790\n",
            "Epoch 94/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0749 - accuracy: 0.9787\n",
            "Epoch 95/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0748 - accuracy: 0.9785\n",
            "Epoch 96/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0747 - accuracy: 0.9787\n",
            "Epoch 97/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0746 - accuracy: 0.9786\n",
            "Epoch 98/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0745 - accuracy: 0.9786\n",
            "Epoch 99/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0746 - accuracy: 0.9785\n",
            "Epoch 100/100\n",
            "294/294 [==============================] - 0s 1ms/step - loss: 0.0744 - accuracy: 0.9790\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<keras.callbacks.History at 0x7f68764ba250>"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mOda017LryX4"
      },
      "source": [
        "Prediciting the Test Set results"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2uQ40DxkWptv",
        "outputId": "2529994b-2175-4c2e-ea8c-97a5af413a1b"
      },
      "source": [
        "y_pred = ann.predict(x_test)\n",
        "y_pred = (y_pred > 0.5)\n",
        "print(np.concatenate((y_pred.reshape(len(y_pred),1), y_test.reshape(len(y_test),1)),1))"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[0. 0.]\n",
            " [0. 0.]\n",
            " [0. 0.]\n",
            " ...\n",
            " [0. 0.]\n",
            " [0. 0.]\n",
            " [0. 0.]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VGv_NfJ7r4Wa"
      },
      "source": [
        "Building the Confusion Matrix"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "-QYorc3wXl2f",
        "outputId": "b02e71ce-8077-4fa7-92c5-83f420a51983"
      },
      "source": [
        "cf = confusion_matrix(y_test, y_pred)\n",
        "sns.heatmap(cf,annot=True,cbar=False,linewidths=5,linecolor='Grey',cmap = 'Reds')\n",
        "plt.ylabel('True Label')\n",
        "plt.xlabel('Predicted Label')\n",
        "plt.title('Confusion Matrix')\n",
        "plt.show()"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-jfWyqaKs6Y8"
      },
      "source": [
        "Finding the Accuracy and Classifiction report of our Model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kUKNORUCYAZG",
        "outputId": "c24aebc9-e8d9-45c6-e168-8572f8e86668"
      },
      "source": [
        "accuracy_score(y_test,y_pred)"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.979565772669221"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jHD5HE4hhy3n",
        "outputId": "bf891427-2ce0-4cdd-910f-126a226d5703"
      },
      "source": [
        "print(classification_report(y_test, y_pred))"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "         0.0       0.98      0.99      0.99      2854\n",
            "         1.0       0.92      0.84      0.88       278\n",
            "\n",
            "    accuracy                           0.98      3132\n",
            "   macro avg       0.95      0.92      0.93      3132\n",
            "weighted avg       0.98      0.98      0.98      3132\n",
            "\n"
          ]
        }
      ]
    }
  ]
}