Predicting_stars_galaxies_quasars.ipynb

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        "<a href=\"https://colab.research.google.com/github/nidaiyman/stars-galaxies-or-quasars/blob/main/Predicting_stars_galaxies_quasars.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "source": [
        "#importing necessary libararies\n",
        "\n",
        "'''operating system functionality'''\n",
        "import os\n",
        "\n",
        "'''data handling and linear algrebra'''\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "\n",
        "'''data visualisation'''\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "'''Manipulate data and machine learning based model building'''\n",
        "import tensorflow as tf\n",
        "from tensorflow import keras\n",
        "\n",
        "'''Data Analysis'''\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import LabelEncoder\n",
        "\n",
        "'''Measuring Classification Performance'''\n",
        "from sklearn.metrics import accuracy_score\n",
        "\n",
        "'''Classification and Regression'''\n",
        "from sklearn.tree import DecisionTreeClassifier\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.naive_bayes import MultinomialNB\n",
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "from sklearn.svm import SVC\n",
        "\n",
        "'''ignore warnings'''\n",
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\")"
      ],
      "metadata": {
        "id": "NJampaNTQ1bh"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#importing dataset\n",
        "data=pd.read_csv(\"/content/Skyserver_SQL2_27_2018 6_51_39 PM.csv\")"
      ],
      "metadata": {
        "id": "tTGSXmDrSf3H"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#display first 5 rows of dataset\n",
        "data.head()"
      ],
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          "height": 206
        },
        "id": "H0cyMJy1SvPF",
        "outputId": "fa7443b1-8b1c-47d5-9d9b-77761abf70ee"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
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              "          objid          ra       dec         u         g         r         i  \\\n",
              "0  1.237650e+18  183.531326  0.089693  19.47406  17.04240  15.94699  15.50342   \n",
              "1  1.237650e+18  183.598370  0.135285  18.66280  17.21449  16.67637  16.48922   \n",
              "2  1.237650e+18  183.680207  0.126185  19.38298  18.19169  17.47428  17.08732   \n",
              "3  1.237650e+18  183.870529  0.049911  17.76536  16.60272  16.16116  15.98233   \n",
              "4  1.237650e+18  183.883288  0.102557  17.55025  16.26342  16.43869  16.55492   \n",
              "\n",
              "          z  run  rerun  camcol  field     specobjid   class  redshift  plate  \\\n",
              "0  15.22531  752    301       4    267  3.722360e+18    STAR -0.000009   3306   \n",
              "1  16.39150  752    301       4    267  3.638140e+17    STAR -0.000055    323   \n",
              "2  16.80125  752    301       4    268  3.232740e+17  GALAXY  0.123111    287   \n",
              "3  15.90438  752    301       4    269  3.722370e+18    STAR -0.000111   3306   \n",
              "4  16.61326  752    301       4    269  3.722370e+18    STAR  0.000590   3306   \n",
              "\n",
              "     mjd  fiberid  \n",
              "0  54922      491  \n",
              "1  51615      541  \n",
              "2  52023      513  \n",
              "3  54922      510  \n",
              "4  54922      512  "
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\"number\",\n        \"std\": 1.067764349402935,\n        \"min\": 12.4316,\n        \"max\": 24.80204,\n        \"num_unique_values\": 9852,\n        \"samples\": [\n          17.62294\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"i\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.1418048192775498,\n        \"min\": 11.94721,\n        \"max\": 28.17963,\n        \"num_unique_values\": 9890,\n        \"samples\": [\n          17.2252\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"z\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.2031880475759795,\n        \"min\": 11.61041,\n        \"max\": 22.83306,\n        \"num_unique_values\": 9896,\n        \"samples\": [\n          17.83397\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"run\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 273,\n        \"min\": 308,\n        \"max\": 1412,\n        \"num_unique_values\": 23,\n        \"samples\": [\n          1345\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rerun\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 301,\n        \"max\": 301,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          301\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"camcol\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 1,\n        \"max\": 6,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          4\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"field\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 162,\n        \"min\": 11,\n        \"max\": 768,\n        \"num_unique_values\": 703,\n        \"samples\": [\n          621\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"specobjid\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.0139984928669087e+18,\n        \"min\": 2.99578e+17,\n        \"max\": 9.46883e+18,\n        \"num_unique_values\": 6349,\n        \"samples\": [\n          3.11946e+17\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"class\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"STAR\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"redshift\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.3887740358114659,\n        \"min\": -0.004136078,\n        \"max\": 5.353854,\n        \"num_unique_values\": 9637,\n        \"samples\": [\n          0.000189883\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"plate\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1788,\n        \"min\": 266,\n        \"max\": 8410,\n        \"num_unique_values\": 487,\n        \"samples\": [\n          3848\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"mjd\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1511,\n        \"min\": 51578,\n        \"max\": 57481,\n        \"num_unique_values\": 355,\n        \"samples\": [\n          54862\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"fiberid\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 206,\n        \"min\": 1,\n        \"max\": 1000,\n        \"num_unique_values\": 892,\n        \"samples\": [\n          658\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#display dimensions of the dataset\n",
        "data.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2uvCVFw3S6Mv",
        "outputId": "e495b36f-e3d5-478d-e319-71b4304ff1ca"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(10000, 18)"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The object id columns are of little use in the analysis hence we remove them from the dataset."
      ],
      "metadata": {
        "id": "fXMm6wi7TL3N"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#drop object id columns, they are of no use in the analysis\n",
        "data.drop(['objid','specobjid'], axis=1, inplace=True)"
      ],
      "metadata": {
        "id": "i4F6JZv7TGFR"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#data after dropping columns\n",
        "data.head(10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        },
        "id": "Dq41zEbvUFLf",
        "outputId": "48a35ab0-bc0c-4cc8-8a1b-3e3b3e0e939e"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "           ra       dec         u         g         r         i         z  \\\n",
              "0  183.531326  0.089693  19.47406  17.04240  15.94699  15.50342  15.22531   \n",
              "1  183.598370  0.135285  18.66280  17.21449  16.67637  16.48922  16.39150   \n",
              "2  183.680207  0.126185  19.38298  18.19169  17.47428  17.08732  16.80125   \n",
              "3  183.870529  0.049911  17.76536  16.60272  16.16116  15.98233  15.90438   \n",
              "4  183.883288  0.102557  17.55025  16.26342  16.43869  16.55492  16.61326   \n",
              "5  183.847174  0.173694  19.43133  18.46779  18.16451  18.01475  18.04155   \n",
              "6  183.864379  0.019201  19.38322  17.88995  17.10537  16.66393  16.36955   \n",
              "7  183.900081  0.187473  18.97993  17.84496  17.38022  17.20673  17.07071   \n",
              "8  183.924588  0.097246  17.90616  16.97172  16.67541  16.53776  16.47596   \n",
              "9  183.973498  0.081626  18.67249  17.71375  17.49362  17.28284  17.22644   \n",
              "\n",
              "   run  rerun  camcol  field   class  redshift  plate    mjd  fiberid  \n",
              "0  752    301       4    267    STAR -0.000009   3306  54922      491  \n",
              "1  752    301       4    267    STAR -0.000055    323  51615      541  \n",
              "2  752    301       4    268  GALAXY  0.123111    287  52023      513  \n",
              "3  752    301       4    269    STAR -0.000111   3306  54922      510  \n",
              "4  752    301       4    269    STAR  0.000590   3306  54922      512  \n",
              "5  752    301       4    269    STAR  0.000315    324  51666      594  \n",
              "6  752    301       4    269  GALAXY  0.100242    287  52023      559  \n",
              "7  752    301       4    269    STAR  0.000315   3306  54922      515  \n",
              "8  752    301       4    270    STAR  0.000089    323  51615      595  \n",
              "9  752    301       4    270  GALAXY  0.040508    288  52000      400  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-b1ef733a-2248-431a-bc6a-b971f23cd405\" class=\"colab-df-container\">\n",
              "    <div>\n",
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              "        vertical-align: middle;\n",
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              "\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>ra</th>\n",
              "      <th>dec</th>\n",
              "      <th>u</th>\n",
              "      <th>g</th>\n",
              "      <th>r</th>\n",
              "      <th>i</th>\n",
              "      <th>z</th>\n",
              "      <th>run</th>\n",
              "      <th>rerun</th>\n",
              "      <th>camcol</th>\n",
              "      <th>field</th>\n",
              "      <th>class</th>\n",
              "      <th>redshift</th>\n",
              "      <th>plate</th>\n",
              "      <th>mjd</th>\n",
              "      <th>fiberid</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>183.531326</td>\n",
              "      <td>0.089693</td>\n",
              "      <td>19.47406</td>\n",
              "      <td>17.04240</td>\n",
              "      <td>15.94699</td>\n",
              "      <td>15.50342</td>\n",
              "      <td>15.22531</td>\n",
              "      <td>752</td>\n",
              "      <td>301</td>\n",
              "      <td>4</td>\n",
              "      <td>267</td>\n",
              "      <td>STAR</td>\n",
              "      <td>-0.000009</td>\n",
              "      <td>3306</td>\n",
              "      <td>54922</td>\n",
              "      <td>491</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>183.598370</td>\n",
              "      <td>0.135285</td>\n",
              "      <td>18.66280</td>\n",
              "      <td>17.21449</td>\n",
              "      <td>16.67637</td>\n",
              "      <td>16.48922</td>\n",
              "      <td>16.39150</td>\n",
              "      <td>752</td>\n",
              "      <td>301</td>\n",
              "      <td>4</td>\n",
              "      <td>267</td>\n",
              "      <td>STAR</td>\n",
              "      <td>-0.000055</td>\n",
              "      <td>323</td>\n",
              "      <td>51615</td>\n",
              "      <td>541</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>183.680207</td>\n",
              "      <td>0.126185</td>\n",
              "      <td>19.38298</td>\n",
              "      <td>18.19169</td>\n",
              "      <td>17.47428</td>\n",
              "      <td>17.08732</td>\n",
              "      <td>16.80125</td>\n",
              "      <td>752</td>\n",
              "      <td>301</td>\n",
              "      <td>4</td>\n",
              "      <td>268</td>\n",
              "      <td>GALAXY</td>\n",
              "      <td>0.123111</td>\n",
              "      <td>287</td>\n",
              "      <td>52023</td>\n",
              "      <td>513</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>183.870529</td>\n",
              "      <td>0.049911</td>\n",
              "      <td>17.76536</td>\n",
              "      <td>16.60272</td>\n",
              "      <td>16.16116</td>\n",
              "      <td>15.98233</td>\n",
              "      <td>15.90438</td>\n",
              "      <td>752</td>\n",
              "      <td>301</td>\n",
              "      <td>4</td>\n",
              "      <td>269</td>\n",
              "      <td>STAR</td>\n",
              "      <td>-0.000111</td>\n",
              "      <td>3306</td>\n",
              "      <td>54922</td>\n",
              "      <td>510</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>183.883288</td>\n",
              "      <td>0.102557</td>\n",
              "      <td>17.55025</td>\n",
              "      <td>16.26342</td>\n",
              "      <td>16.43869</td>\n",
              "      <td>16.55492</td>\n",
              "      <td>16.61326</td>\n",
              "      <td>752</td>\n",
              "      <td>301</td>\n",
              "      <td>4</td>\n",
              "      <td>269</td>\n",
              "      <td>STAR</td>\n",
              "      <td>0.000590</td>\n",
              "      <td>3306</td>\n",
              "      <td>54922</td>\n",
              "      <td>512</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>183.847174</td>\n",
              "      <td>0.173694</td>\n",
              "      <td>19.43133</td>\n",
              "      <td>18.46779</td>\n",
              "      <td>18.16451</td>\n",
              "      <td>18.01475</td>\n",
              "      <td>18.04155</td>\n",
              "      <td>752</td>\n",
              "      <td>301</td>\n",
              "      <td>4</td>\n",
              "      <td>269</td>\n",
              "      <td>STAR</td>\n",
              "      <td>0.000315</td>\n",
              "      <td>324</td>\n",
              "      <td>51666</td>\n",
              "      <td>594</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>183.864379</td>\n",
              "      <td>0.019201</td>\n",
              "      <td>19.38322</td>\n",
              "      <td>17.88995</td>\n",
              "      <td>17.10537</td>\n",
              "      <td>16.66393</td>\n",
              "      <td>16.36955</td>\n",
              "      <td>752</td>\n",
              "      <td>301</td>\n",
              "      <td>4</td>\n",
              "      <td>269</td>\n",
              "      <td>GALAXY</td>\n",
              "      <td>0.100242</td>\n",
              "      <td>287</td>\n",
              "      <td>52023</td>\n",
              "      <td>559</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>183.900081</td>\n",
              "      <td>0.187473</td>\n",
              "      <td>18.97993</td>\n",
              "      <td>17.84496</td>\n",
              "      <td>17.38022</td>\n",
              "      <td>17.20673</td>\n",
              "      <td>17.07071</td>\n",
              "      <td>752</td>\n",
              "      <td>301</td>\n",
              "      <td>4</td>\n",
              "      <td>269</td>\n",
              "      <td>STAR</td>\n",
              "      <td>0.000315</td>\n",
              "      <td>3306</td>\n",
              "      <td>54922</td>\n",
              "      <td>515</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>183.924588</td>\n",
              "      <td>0.097246</td>\n",
              "      <td>17.90616</td>\n",
              "      <td>16.97172</td>\n",
              "      <td>16.67541</td>\n",
              "      <td>16.53776</td>\n",
              "      <td>16.47596</td>\n",
              "      <td>752</td>\n",
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              "      <td>4</td>\n",
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              "      <td>STAR</td>\n",
              "      <td>0.000089</td>\n",
              "      <td>323</td>\n",
              "      <td>51615</td>\n",
              "      <td>595</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>183.973498</td>\n",
              "      <td>0.081626</td>\n",
              "      <td>18.67249</td>\n",
              "      <td>17.71375</td>\n",
              "      <td>17.49362</td>\n",
              "      <td>17.28284</td>\n",
              "      <td>17.22644</td>\n",
              "      <td>752</td>\n",
              "      <td>301</td>\n",
              "      <td>4</td>\n",
              "      <td>270</td>\n",
              "      <td>GALAXY</td>\n",
              "      <td>0.040508</td>\n",
              "      <td>288</td>\n",
              "      <td>52000</td>\n",
              "      <td>400</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-314121d1-a68f-4801-9359-1203a1f138bc\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-314121d1-a68f-4801-9359-1203a1f138bc')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-314121d1-a68f-4801-9359-1203a1f138bc button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "data",
              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 10000,\n  \"fields\": [\n    {\n      \"column\": \"ra\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 47.78343941253631,\n        \"min\": 8.235100497,\n        \"max\": 260.8843818,\n        \"num_unique_values\": 10000,\n        \"samples\": [\n          134.6492674,\n          157.0952241,\n          159.6062762\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"dec\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 25.212206579284373,\n        \"min\": -5.382632499,\n        \"max\": 68.54226541,\n        \"num_unique_values\": 10000,\n        \"samples\": [\n          54.38634445,\n          62.59739268,\n          -0.017859983\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"u\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.8286560094113752,\n        \"min\": 12.98897,\n        \"max\": 19.5999,\n        \"num_unique_values\": 9730,\n        \"samples\": [\n          16.99432,\n          18.27211,\n          19.51903\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"g\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.9454571752688143,\n        \"min\": 12.79955,\n        \"max\": 19.91897,\n        \"num_unique_values\": 9817,\n        \"samples\": [\n          17.88955,\n          18.89235,\n          15.92992\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"r\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.067764349402935,\n        \"min\": 12.4316,\n        \"max\": 24.80204,\n        \"num_unique_values\": 9852,\n        \"samples\": [\n          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\"column\": \"field\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 162,\n        \"min\": 11,\n        \"max\": 768,\n        \"num_unique_values\": 703,\n        \"samples\": [\n          621\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"class\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"STAR\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"redshift\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.3887740358114659,\n        \"min\": -0.004136078,\n        \"max\": 5.353854,\n        \"num_unique_values\": 9637,\n        \"samples\": [\n          0.000189883\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"plate\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1788,\n        \"min\": 266,\n        \"max\": 8410,\n        \"num_unique_values\": 487,\n        \"samples\": [\n          3848\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"mjd\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1511,\n        \"min\": 51578,\n        \"max\": 57481,\n        \"num_unique_values\": 355,\n        \"samples\": [\n          54862\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"fiberid\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 206,\n        \"min\": 1,\n        \"max\": 1000,\n        \"num_unique_values\": 892,\n        \"samples\": [\n          658\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "z8TzHKkeUN9e",
        "outputId": "ba9dfeff-c51b-43d9-ff77-8e9492db37e3"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(10000, 16)"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "PJmBRSSlUTak",
        "outputId": "b00415cb-48aa-4932-efab-6504a82f3a97"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                 ra           dec             u             g             r  \\\n",
              "count  10000.000000  10000.000000  10000.000000  10000.000000  10000.000000   \n",
              "mean     175.529987     14.836148     18.619355     17.371931     16.840963   \n",
              "std       47.783439     25.212207      0.828656      0.945457      1.067764   \n",
              "min        8.235100     -5.382632     12.988970     12.799550     12.431600   \n",
              "25%      157.370946     -0.539035     18.178035     16.815100     16.173333   \n",
              "50%      180.394514      0.404166     18.853095     17.495135     16.858770   \n",
              "75%      201.547279     35.649397     19.259232     18.010145     17.512675   \n",
              "max      260.884382     68.542265     19.599900     19.918970     24.802040   \n",
              "\n",
              "                  i             z           run    rerun        camcol  \\\n",
              "count  10000.000000  10000.000000  10000.000000  10000.0  10000.000000   \n",
              "mean      16.583579     16.422833    981.034800    301.0      3.648700   \n",
              "std        1.141805      1.203188    273.305024      0.0      1.666183   \n",
              "min       11.947210     11.610410    308.000000    301.0      1.000000   \n",
              "25%       15.853705     15.618285    752.000000    301.0      2.000000   \n",
              "50%       16.554985     16.389945    756.000000    301.0      4.000000   \n",
              "75%       17.258550     17.141447   1331.000000    301.0      5.000000   \n",
              "max       28.179630     22.833060   1412.000000    301.0      6.000000   \n",
              "\n",
              "              field      redshift         plate           mjd       fiberid  \n",
              "count  10000.000000  10000.000000  10000.000000  10000.000000  10000.000000  \n",
              "mean     302.380100      0.143726   1460.986400  52943.533300    353.069400  \n",
              "std      162.577763      0.388774   1788.778371   1511.150651    206.298149  \n",
              "min       11.000000     -0.004136    266.000000  51578.000000      1.000000  \n",
              "25%      184.000000      0.000081    301.000000  51900.000000    186.750000  \n",
              "50%      299.000000      0.042591    441.000000  51997.000000    351.000000  \n",
              "75%      414.000000      0.092579   2559.000000  54468.000000    510.000000  \n",
              "max      768.000000      5.353854   8410.000000  57481.000000   1000.000000  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-b563135c-36b7-4a6f-b953-a8c064db4ff2\" class=\"colab-df-container\">\n",
              "    <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>ra</th>\n",
              "      <th>dec</th>\n",
              "      <th>u</th>\n",
              "      <th>g</th>\n",
              "      <th>r</th>\n",
              "      <th>i</th>\n",
              "      <th>z</th>\n",
              "      <th>run</th>\n",
              "      <th>rerun</th>\n",
              "      <th>camcol</th>\n",
              "      <th>field</th>\n",
              "      <th>redshift</th>\n",
              "      <th>plate</th>\n",
              "      <th>mjd</th>\n",
              "      <th>fiberid</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>10000.000000</td>\n",
              "      <td>10000.000000</td>\n",
              "      <td>10000.000000</td>\n",
              "      <td>10000.000000</td>\n",
              "      <td>10000.000000</td>\n",
              "      <td>10000.000000</td>\n",
              "      <td>10000.000000</td>\n",
              "      <td>10000.000000</td>\n",
              "      <td>10000.0</td>\n",
              "      <td>10000.000000</td>\n",
              "      <td>10000.000000</td>\n",
              "      <td>10000.000000</td>\n",
              "      <td>10000.000000</td>\n",
              "      <td>10000.000000</td>\n",
              "      <td>10000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>175.529987</td>\n",
              "      <td>14.836148</td>\n",
              "      <td>18.619355</td>\n",
              "      <td>17.371931</td>\n",
              "      <td>16.840963</td>\n",
              "      <td>16.583579</td>\n",
              "      <td>16.422833</td>\n",
              "      <td>981.034800</td>\n",
              "      <td>301.0</td>\n",
              "      <td>3.648700</td>\n",
              "      <td>302.380100</td>\n",
              "      <td>0.143726</td>\n",
              "      <td>1460.986400</td>\n",
              "      <td>52943.533300</td>\n",
              "      <td>353.069400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>47.783439</td>\n",
              "      <td>25.212207</td>\n",
              "      <td>0.828656</td>\n",
              "      <td>0.945457</td>\n",
              "      <td>1.067764</td>\n",
              "      <td>1.141805</td>\n",
              "      <td>1.203188</td>\n",
              "      <td>273.305024</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.666183</td>\n",
              "      <td>162.577763</td>\n",
              "      <td>0.388774</td>\n",
              "      <td>1788.778371</td>\n",
              "      <td>1511.150651</td>\n",
              "      <td>206.298149</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>8.235100</td>\n",
              "      <td>-5.382632</td>\n",
              "      <td>12.988970</td>\n",
              "      <td>12.799550</td>\n",
              "      <td>12.431600</td>\n",
              "      <td>11.947210</td>\n",
              "      <td>11.610410</td>\n",
              "      <td>308.000000</td>\n",
              "      <td>301.0</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>11.000000</td>\n",
              "      <td>-0.004136</td>\n",
              "      <td>266.000000</td>\n",
              "      <td>51578.000000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>157.370946</td>\n",
              "      <td>-0.539035</td>\n",
              "      <td>18.178035</td>\n",
              "      <td>16.815100</td>\n",
              "      <td>16.173333</td>\n",
              "      <td>15.853705</td>\n",
              "      <td>15.618285</td>\n",
              "      <td>752.000000</td>\n",
              "      <td>301.0</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>184.000000</td>\n",
              "      <td>0.000081</td>\n",
              "      <td>301.000000</td>\n",
              "      <td>51900.000000</td>\n",
              "      <td>186.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>180.394514</td>\n",
              "      <td>0.404166</td>\n",
              "      <td>18.853095</td>\n",
              "      <td>17.495135</td>\n",
              "      <td>16.858770</td>\n",
              "      <td>16.554985</td>\n",
              "      <td>16.389945</td>\n",
              "      <td>756.000000</td>\n",
              "      <td>301.0</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>299.000000</td>\n",
              "      <td>0.042591</td>\n",
              "      <td>441.000000</td>\n",
              "      <td>51997.000000</td>\n",
              "      <td>351.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>201.547279</td>\n",
              "      <td>35.649397</td>\n",
              "      <td>19.259232</td>\n",
              "      <td>18.010145</td>\n",
              "      <td>17.512675</td>\n",
              "      <td>17.258550</td>\n",
              "      <td>17.141447</td>\n",
              "      <td>1331.000000</td>\n",
              "      <td>301.0</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>414.000000</td>\n",
              "      <td>0.092579</td>\n",
              "      <td>2559.000000</td>\n",
              "      <td>54468.000000</td>\n",
              "      <td>510.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>260.884382</td>\n",
              "      <td>68.542265</td>\n",
              "      <td>19.599900</td>\n",
              "      <td>19.918970</td>\n",
              "      <td>24.802040</td>\n",
              "      <td>28.179630</td>\n",
              "      <td>22.833060</td>\n",
              "      <td>1412.000000</td>\n",
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1.0,\n        \"max\": 10000.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          353.0694,\n          351.0,\n          10000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#check null values to determine the completeness of the dataset\n",
        "data.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4qYixAliUXGb",
        "outputId": "6f5ba843-4170-4046-8d87-2e717ec4cabc"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 10000 entries, 0 to 9999\n",
            "Data columns (total 16 columns):\n",
            " #   Column    Non-Null Count  Dtype  \n",
            "---  ------    --------------  -----  \n",
            " 0   ra        10000 non-null  float64\n",
            " 1   dec       10000 non-null  float64\n",
            " 2   u         10000 non-null  float64\n",
            " 3   g         10000 non-null  float64\n",
            " 4   r         10000 non-null  float64\n",
            " 5   i         10000 non-null  float64\n",
            " 6   z         10000 non-null  float64\n",
            " 7   run       10000 non-null  int64  \n",
            " 8   rerun     10000 non-null  int64  \n",
            " 9   camcol    10000 non-null  int64  \n",
            " 10  field     10000 non-null  int64  \n",
            " 11  class     10000 non-null  object \n",
            " 12  redshift  10000 non-null  float64\n",
            " 13  plate     10000 non-null  int64  \n",
            " 14  mjd       10000 non-null  int64  \n",
            " 15  fiberid   10000 non-null  int64  \n",
            "dtypes: float64(8), int64(7), object(1)\n",
            "memory usage: 1.2+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The Target from data is Data Classification to Star, Galaxy or Quasar. the class column has 3 categories and in this case we convert them into numeric data."
      ],
      "metadata": {
        "id": "cX0sw4JaWPL8"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "le=LabelEncoder().fit(data['class'])\n",
        "data['class']=le.transform(data['class'])"
      ],
      "metadata": {
        "id": "P1X8IbyqUqi9"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "The Final Dataset"
      ],
      "metadata": {
        "id": "L-Ge8UW5WgoQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data.head(10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        },
        "id": "3Mxs66uZWkRq",
        "outputId": "7617bc3f-ebf0-4fe9-e8a5-5a08ac02e7f6"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "           ra       dec         u         g         r         i         z  \\\n",
              "0  183.531326  0.089693  19.47406  17.04240  15.94699  15.50342  15.22531   \n",
              "1  183.598370  0.135285  18.66280  17.21449  16.67637  16.48922  16.39150   \n",
              "2  183.680207  0.126185  19.38298  18.19169  17.47428  17.08732  16.80125   \n",
              "3  183.870529  0.049911  17.76536  16.60272  16.16116  15.98233  15.90438   \n",
              "4  183.883288  0.102557  17.55025  16.26342  16.43869  16.55492  16.61326   \n",
              "5  183.847174  0.173694  19.43133  18.46779  18.16451  18.01475  18.04155   \n",
              "6  183.864379  0.019201  19.38322  17.88995  17.10537  16.66393  16.36955   \n",
              "7  183.900081  0.187473  18.97993  17.84496  17.38022  17.20673  17.07071   \n",
              "8  183.924588  0.097246  17.90616  16.97172  16.67541  16.53776  16.47596   \n",
              "9  183.973498  0.081626  18.67249  17.71375  17.49362  17.28284  17.22644   \n",
              "\n",
              "   run  rerun  camcol  field  class  redshift  plate    mjd  fiberid  \n",
              "0  752    301       4    267      2 -0.000009   3306  54922      491  \n",
              "1  752    301       4    267      2 -0.000055    323  51615      541  \n",
              "2  752    301       4    268      0  0.123111    287  52023      513  \n",
              "3  752    301       4    269      2 -0.000111   3306  54922      510  \n",
              "4  752    301       4    269      2  0.000590   3306  54922      512  \n",
              "5  752    301       4    269      2  0.000315    324  51666      594  \n",
              "6  752    301       4    269      0  0.100242    287  52023      559  \n",
              "7  752    301       4    269      2  0.000315   3306  54922      515  \n",
              "8  752    301       4    270      2  0.000089    323  51615      595  \n",
              "9  752    301       4    270      0  0.040508    288  52000      400  "
            ],
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              "      <th></th>\n",
              "      <th>ra</th>\n",
              "      <th>dec</th>\n",
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              "      <th>0</th>\n",
              "      <td>183.531326</td>\n",
              "      <td>0.089693</td>\n",
              "      <td>19.47406</td>\n",
              "      <td>17.04240</td>\n",
              "      <td>15.94699</td>\n",
              "      <td>15.50342</td>\n",
              "      <td>15.22531</td>\n",
              "      <td>752</td>\n",
              "      <td>301</td>\n",
              "      <td>4</td>\n",
              "      <td>267</td>\n",
              "      <td>2</td>\n",
              "      <td>-0.000009</td>\n",
              "      <td>3306</td>\n",
              "      <td>54922</td>\n",
              "      <td>491</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>183.598370</td>\n",
              "      <td>0.135285</td>\n",
              "      <td>18.66280</td>\n",
              "      <td>17.21449</td>\n",
              "      <td>16.67637</td>\n",
              "      <td>16.48922</td>\n",
              "      <td>16.39150</td>\n",
              "      <td>752</td>\n",
              "      <td>301</td>\n",
              "      <td>4</td>\n",
              "      <td>267</td>\n",
              "      <td>2</td>\n",
              "      <td>-0.000055</td>\n",
              "      <td>323</td>\n",
              "      <td>51615</td>\n",
              "      <td>541</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>183.680207</td>\n",
              "      <td>0.126185</td>\n",
              "      <td>19.38298</td>\n",
              "      <td>18.19169</td>\n",
              "      <td>17.47428</td>\n",
              "      <td>17.08732</td>\n",
              "      <td>16.80125</td>\n",
              "      <td>752</td>\n",
              "      <td>301</td>\n",
              "      <td>4</td>\n",
              "      <td>268</td>\n",
              "      <td>0</td>\n",
              "      <td>0.123111</td>\n",
              "      <td>287</td>\n",
              "      <td>52023</td>\n",
              "      <td>513</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>183.870529</td>\n",
              "      <td>0.049911</td>\n",
              "      <td>17.76536</td>\n",
              "      <td>16.60272</td>\n",
              "      <td>16.16116</td>\n",
              "      <td>15.98233</td>\n",
              "      <td>15.90438</td>\n",
              "      <td>752</td>\n",
              "      <td>301</td>\n",
              "      <td>4</td>\n",
              "      <td>269</td>\n",
              "      <td>2</td>\n",
              "      <td>-0.000111</td>\n",
              "      <td>3306</td>\n",
              "      <td>54922</td>\n",
              "      <td>510</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>183.883288</td>\n",
              "      <td>0.102557</td>\n",
              "      <td>17.55025</td>\n",
              "      <td>16.26342</td>\n",
              "      <td>16.43869</td>\n",
              "      <td>16.55492</td>\n",
              "      <td>16.61326</td>\n",
              "      <td>752</td>\n",
              "      <td>301</td>\n",
              "      <td>4</td>\n",
              "      <td>269</td>\n",
              "      <td>2</td>\n",
              "      <td>0.000590</td>\n",
              "      <td>3306</td>\n",
              "      <td>54922</td>\n",
              "      <td>512</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>183.847174</td>\n",
              "      <td>0.173694</td>\n",
              "      <td>19.43133</td>\n",
              "      <td>18.46779</td>\n",
              "      <td>18.16451</td>\n",
              "      <td>18.01475</td>\n",
              "      <td>18.04155</td>\n",
              "      <td>752</td>\n",
              "      <td>301</td>\n",
              "      <td>4</td>\n",
              "      <td>269</td>\n",
              "      <td>2</td>\n",
              "      <td>0.000315</td>\n",
              "      <td>324</td>\n",
              "      <td>51666</td>\n",
              "      <td>594</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>183.864379</td>\n",
              "      <td>0.019201</td>\n",
              "      <td>19.38322</td>\n",
              "      <td>17.88995</td>\n",
              "      <td>17.10537</td>\n",
              "      <td>16.66393</td>\n",
              "      <td>16.36955</td>\n",
              "      <td>752</td>\n",
              "      <td>301</td>\n",
              "      <td>4</td>\n",
              "      <td>269</td>\n",
              "      <td>0</td>\n",
              "      <td>0.100242</td>\n",
              "      <td>287</td>\n",
              "      <td>52023</td>\n",
              "      <td>559</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>183.900081</td>\n",
              "      <td>0.187473</td>\n",
              "      <td>18.97993</td>\n",
              "      <td>17.84496</td>\n",
              "      <td>17.38022</td>\n",
              "      <td>17.20673</td>\n",
              "      <td>17.07071</td>\n",
              "      <td>752</td>\n",
              "      <td>301</td>\n",
              "      <td>4</td>\n",
              "      <td>269</td>\n",
              "      <td>2</td>\n",
              "      <td>0.000315</td>\n",
              "      <td>3306</td>\n",
              "      <td>54922</td>\n",
              "      <td>515</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>183.924588</td>\n",
              "      <td>0.097246</td>\n",
              "      <td>17.90616</td>\n",
              "      <td>16.97172</td>\n",
              "      <td>16.67541</td>\n",
              "      <td>16.53776</td>\n",
              "      <td>16.47596</td>\n",
              "      <td>752</td>\n",
              "      <td>301</td>\n",
              "      <td>4</td>\n",
              "      <td>270</td>\n",
              "      <td>2</td>\n",
              "      <td>0.000089</td>\n",
              "      <td>323</td>\n",
              "      <td>51615</td>\n",
              "      <td>595</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>183.973498</td>\n",
              "      <td>0.081626</td>\n",
              "      <td>18.67249</td>\n",
              "      <td>17.71375</td>\n",
              "      <td>17.49362</td>\n",
              "      <td>17.28284</td>\n",
              "      <td>17.22644</td>\n",
              "      <td>752</td>\n",
              "      <td>301</td>\n",
              "      <td>4</td>\n",
              "      <td>270</td>\n",
              "      <td>0</td>\n",
              "      <td>0.040508</td>\n",
              "      <td>288</td>\n",
              "      <td>52000</td>\n",
              "      <td>400</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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\"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 273,\n        \"min\": 308,\n        \"max\": 1412,\n        \"num_unique_values\": 23,\n        \"samples\": [\n          1345,\n          1332,\n          752\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rerun\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 301,\n        \"max\": 301,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          301\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"camcol\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 1,\n        \"max\": 6,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          4\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"field\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 162,\n        \"min\": 11,\n        \"max\": 768,\n        \"num_unique_values\": 703,\n        \"samples\": [\n          621\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"class\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 2,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"redshift\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.3887740358114659,\n        \"min\": -0.004136078,\n        \"max\": 5.353854,\n        \"num_unique_values\": 9637,\n        \"samples\": [\n          0.000189883\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"plate\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1788,\n        \"min\": 266,\n        \"max\": 8410,\n        \"num_unique_values\": 487,\n        \"samples\": [\n          3848\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"mjd\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1511,\n        \"min\": 51578,\n        \"max\": 57481,\n        \"num_unique_values\": 355,\n        \"samples\": [\n          54862\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"fiberid\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 206,\n        \"min\": 1,\n        \"max\": 1000,\n        \"num_unique_values\": 892,\n        \"samples\": [\n          658\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "After Label Encoding, Galaxies have been replaced by 0, Quasars by 1 and Stars by 2"
      ],
      "metadata": {
        "id": "8HVLISShWvT9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#checking infromation about the dataset\n",
        "data.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wdCEeqrUWnNK",
        "outputId": "9b0aad62-1d72-4c28-d316-d3bc05546a91"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 10000 entries, 0 to 9999\n",
            "Data columns (total 16 columns):\n",
            " #   Column    Non-Null Count  Dtype  \n",
            "---  ------    --------------  -----  \n",
            " 0   ra        10000 non-null  float64\n",
            " 1   dec       10000 non-null  float64\n",
            " 2   u         10000 non-null  float64\n",
            " 3   g         10000 non-null  float64\n",
            " 4   r         10000 non-null  float64\n",
            " 5   i         10000 non-null  float64\n",
            " 6   z         10000 non-null  float64\n",
            " 7   run       10000 non-null  int64  \n",
            " 8   rerun     10000 non-null  int64  \n",
            " 9   camcol    10000 non-null  int64  \n",
            " 10  field     10000 non-null  int64  \n",
            " 11  class     10000 non-null  int64  \n",
            " 12  redshift  10000 non-null  float64\n",
            " 13  plate     10000 non-null  int64  \n",
            " 14  mjd       10000 non-null  int64  \n",
            " 15  fiberid   10000 non-null  int64  \n",
            "dtypes: float64(8), int64(8)\n",
            "memory usage: 1.2 MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Perform train and test split\n",
        "30- testing\n",
        "70-training"
      ],
      "metadata": {
        "id": "SPV2C-pDXRR_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "x=data.drop('class',axis=1)\n",
        "y=data['class']"
      ],
      "metadata": {
        "id": "_OG6xUa0XA1z"
      },
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Data Scaling\n",
        "Scaling means converting float point feature values from their natural range (100 to 900) into their standard range- usually 0 and 1 (sometimes -1 to +1). StandardScalar follows Standard Normal Distribution. Therefore it makes mean=0 and scales the data to unit variance."
      ],
      "metadata": {
        "id": "sSByq7hBYu2C"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.preprocessing import StandardScaler # Corrected class name\n",
        "scaler = StandardScaler(copy=True, with_mean=True, with_std=True)\n",
        "x = scaler.fit_transform(x)"
      ],
      "metadata": {
        "id": "TNjhNreFXpd8"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#show data\n",
        "x[:20]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "W8_T5PNqaAtQ",
        "outputId": "23018da1-0952-4389-d2bf-38818bdc8ee5"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 0.16745842, -0.58492272,  1.03148637, -0.34855938, -0.83728027,\n",
              "        -0.94605772, -0.99534154, -0.83806089,  0.        ,  0.21085172,\n",
              "        -0.21763043, -0.36973112,  1.03148936,  1.30931064,  0.66863177],\n",
              "       [ 0.16886159, -0.58311429,  0.05243046, -0.16653251, -0.15415531,\n",
              "        -0.08264457, -0.02604308, -0.83806089,  0.        ,  0.21085172,\n",
              "        -0.21763043, -0.36984929, -0.63621258, -0.87919741,  0.91101156],\n",
              "       [ 0.17057433, -0.58347525,  0.92156796,  0.86709322,  0.59315368,\n",
              "         0.44120145,  0.31452753, -0.83806089,  0.        ,  0.21085172,\n",
              "        -0.21147922, -0.05302706, -0.65633905, -0.60919097,  0.77527888],\n",
              "       [ 0.17455754, -0.58650069, -1.03063038, -0.81362749, -0.63669227,\n",
              "        -0.52660429, -0.43092107, -0.83806089,  0.        ,  0.21085172,\n",
              "        -0.20532801, -0.36999261,  1.03148936,  1.30931064,  0.76073609],\n",
              "       [ 0.17482457, -0.58441247, -1.29023238, -1.17251944, -0.37676237,\n",
              "        -0.02510121,  0.15827647, -0.83806089,  0.        ,  0.21085172,\n",
              "        -0.20532801, -0.36818949,  1.03148936,  1.30931064,  0.77043128],\n",
              "       [ 0.17406874, -0.58159078,  0.97991837,  1.15913585,  1.2396114 ,\n",
              "         1.25349122,  1.34542376, -0.83806089,  0.        ,  0.21085172,\n",
              "        -0.20532801, -0.36889881, -0.63565351, -0.8454466 ,  1.16793412],\n",
              "       [ 0.17442882, -0.58771882,  0.9218576 ,  0.54793007,  0.24763882,\n",
              "         0.07037522, -0.0442872 , -0.83806089,  0.        ,  0.21085172,\n",
              "        -0.20532801, -0.11185311, -0.65633905, -0.60919097,  0.99826828],\n",
              "       [ 0.17517603, -0.58104423,  0.43515363,  0.50034225,  0.50505868,\n",
              "         0.54578672,  0.53849374, -0.83806089,  0.        ,  0.21085172,\n",
              "        -0.20532801, -0.36889818,  1.03148936,  1.30931064,  0.78497407],\n",
              "       [ 0.17568894, -0.58462313, -0.8607082 , -0.4233206 , -0.15505443,\n",
              "        -0.0401308 ,  0.04415727, -0.83806089,  0.        ,  0.21085172,\n",
              "        -0.1991768 , -0.36947888, -0.63621258, -0.87919741,  1.17278172],\n",
              "       [ 0.17671255, -0.58524271,  0.06412468,  0.36155588,  0.61126719,\n",
              "         0.61244768,  0.66793136, -0.83806089,  0.        ,  0.21085172,\n",
              "        -0.1991768 , -0.26550833, -0.65577999, -0.62441192,  0.22750057],\n",
              "       [ 0.17683178, -0.58308602,  0.81867332,  0.45518723,  0.32002733,\n",
              "         0.29758829,  0.31289013, -0.83806089,  0.        ,  0.21085172,\n",
              "        -0.1991768 , -0.36979707,  1.03148936,  1.30931064,  0.74134571],\n",
              "       [ 0.17905309, -0.58403354,  0.25791803,  0.15434418,  0.09531295,\n",
              "         0.1143867 ,  0.15158558, -0.83806089,  0.        ,  0.21085172,\n",
              "        -0.19302559, -0.3681061 ,  1.03148936,  1.30931064,  0.94009713],\n",
              "       [ 0.179404  , -0.58088408,  1.13821874,  0.86650088,  0.76483872,\n",
              "         0.78139043,  0.80556427, -0.83806089,  0.        ,  0.21085172,\n",
              "        -0.19302559, -0.36956736,  1.03148936,  1.30931064,  0.92555434],\n",
              "       [ 0.18062649, -0.58547992,  1.15921765,  0.37678737,  0.13715012,\n",
              "         0.08511578,  0.06767929, -0.83806089,  0.        ,  0.21085172,\n",
              "        -0.19302559, -0.36968672,  1.03148936,  1.30931064,  0.93524953],\n",
              "       [ 0.18123476, -0.58453441,  0.76913279,  0.18696495, -0.19217122,\n",
              "        -0.38043364, -0.54561378, -0.83806089,  0.        ,  0.21085172,\n",
              "        -0.19302559, -0.18427654, -0.65577999, -0.62441192,  0.17417702],\n",
              "       [ 0.18460582, -0.58026059,  0.14357054,  1.30915544,  1.45732014,\n",
              "         1.51360998,  1.2914644 , -0.83806089,  0.        ,  0.21085172,\n",
              "        -0.18687438,  0.3297998 , -0.65633905, -0.60919097,  1.13400095],\n",
              "       [ 0.18190916, -0.58661793,  0.53127794,  0.76494705,  1.01778171,\n",
              "         1.1465937 ,  1.2341887 , -0.83806089,  0.        ,  0.21085172,\n",
              "        -0.18687438, -0.36916795, -0.63565351, -0.8454466 , -1.54187183],\n",
              "       [ 0.18240867, -0.58061649,  0.72660397,  2.04202274,  2.15158106,\n",
              "         2.21584041,  2.33699748, -0.83806089,  0.        ,  0.21085172,\n",
              "        -0.18687438,  2.66073327, -0.65633905, -0.60919097,  1.11461057],\n",
              "       [ 0.18540578, -0.58577178,  0.51243926,  0.14716211,  0.03033282,\n",
              "         0.02413909,  0.05003362, -0.83806089,  0.        ,  0.21085172,\n",
              "        -0.18072317, -0.36909046, -0.63621258, -0.87919741,  1.33275238],\n",
              "       [ 0.18523939, -0.58156585, -0.96878016, -0.531168  , -0.28296358,\n",
              "        -0.33967158, -0.27939936, -0.83806089,  0.        ,  0.21085172,\n",
              "        -0.18072317, -0.18251527, -0.65633905, -0.60919097,  1.35214276]])"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#perform 30% test and 70% train split here\n",
        "x_train,x_test,y_train,y_test=train_test_split(x,y,test_size=0.3,random_state=128)"
      ],
      "metadata": {
        "id": "h4hpo9x4ahWl"
      },
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Density Distribution Plots"
      ],
      "metadata": {
        "id": "UFYUlONgcaPP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#checking the number of labels for each class of the dataset where 0 = Galaxy, 1= Quasar, 2= Star\n",
        "sns.countplot(x=data['class'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "id": "oJfrkA9fbjPG",
        "outputId": "8732a99c-cd23-480c-bf38-4db6f6ca67da"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='class', ylabel='count'>"
            ]
          },
          "metadata": {},
          "execution_count": 26
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "'U' stands for ultraviolet.\n",
        "'G' stands for green.\n",
        "'R' stands for red.\n",
        "'I' stands for infrared."
      ],
      "metadata": {
        "id": "Udj2WSs6dEaB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#using pairplot to establish and understand interdependancy of train features\n",
        "sns.pairplot(data[['u','g','r','i','class']])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "XuQRU6OSc9Ew",
        "outputId": "8c29e349-55b1-4596-97e4-2855882e3b08"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.PairGrid at 0x7e09b02e5810>"
            ]
          },
          "metadata": {},
          "execution_count": 27
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1250x1250 with 30 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "what/ how many stars, quasars, galaxies are a part of the ultra violet spectrum or infrared spectrum.\n",
        "move away from earth - on wavelength spectrum, it moves towards lower ones (infrared)\n",
        "towards- more of ultraviolet data"
      ],
      "metadata": {
        "id": "geIrgY_yeT5z"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Machine Learning models (Classification models)"
      ],
      "metadata": {
        "id": "9vjVZCm5fDQF"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Decision Tree Classifier"
      ],
      "metadata": {
        "id": "2Z71P5D4rIwp"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "dtClassifier = DecisionTreeClassifier(max_leaf_nodes=15,max_depth=3)"
      ],
      "metadata": {
        "id": "qeOS5lHLeCpT"
      },
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Linear Regression (quantitative)\n",
        "Logistic Regression (qualitative)"
      ],
      "metadata": {
        "id": "LpmZ0m0grefr"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Linear Classifier - Logistic Regression\n",
        "LRClassifier = LogisticRegression()"
      ],
      "metadata": {
        "id": "o0rEoOZOrUuj"
      },
      "execution_count": 30,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "KNN classifier"
      ],
      "metadata": {
        "id": "FLzuyGQlscKj"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "NeNeClassifier = KNeighborsClassifier(n_neighbors=3)"
      ],
      "metadata": {
        "id": "aWxIb2Pysaz1"
      },
      "execution_count": 31,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#fitting the models to the dataset\n",
        "dtClassifier.fit(x_train, y_train)\n",
        "LRClassifier.fit(x_train, y_train)\n",
        "NeNeClassifier.fit(x_train, y_train)"
      ],
      "metadata": {
        "id": "t93RI_0Jv-WF",
        "outputId": "93eea7f7-e1da-4651-a85c-803ee932148d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 75
        }
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "KNeighborsClassifier(n_neighbors=3)"
            ],
            "text/html": [
              "<style>#sk-container-id-1 {color: black;}#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>KNeighborsClassifier(n_neighbors=3)</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\">KNeighborsClassifier</label><div class=\"sk-toggleable__content\"><pre>KNeighborsClassifier(n_neighbors=3)</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#getting prediction set of models\n",
        "y_preds = dtClassifier.predict(x_test)\n",
        "y_predsLR = LRClassifier.predict(x_test)\n",
        "y_predsNeNe = NeNeClassifier.predict(x_test)"
      ],
      "metadata": {
        "id": "cIt03559wY9F"
      },
      "execution_count": 33,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#displaying the last 10 predictions on the test split as output by all the models\n",
        "\n",
        "print(y_preds[:10], '\\n', y_test[:10])\n",
        "\n",
        "print(\"\\n*****************************************\")\n",
        "print(y_predsLR[:10], '\\n', y_test[:10])\n",
        "\n",
        "print(\"\\n*****************************************\")\n",
        "print(y_predsNeNe[:10], '\\n', y_test[:10])"
      ],
      "metadata": {
        "id": "PqD-kluvw444",
        "outputId": "4138f9a9-5329-4b58-ead2-0939081bdbf8",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[2 0 2 2 0 0 2 1 0 0] \n",
            " 7054    2\n",
            "4692    0\n",
            "907     2\n",
            "4498    2\n",
            "9957    0\n",
            "3341    0\n",
            "7152    2\n",
            "1152    1\n",
            "7105    0\n",
            "2066    0\n",
            "Name: class, dtype: int64\n",
            "\n",
            "*****************************************\n",
            "[2 0 2 2 0 0 2 1 0 0] \n",
            " 7054    2\n",
            "4692    0\n",
            "907     2\n",
            "4498    2\n",
            "9957    0\n",
            "3341    0\n",
            "7152    2\n",
            "1152    1\n",
            "7105    0\n",
            "2066    0\n",
            "Name: class, dtype: int64\n",
            "\n",
            "*****************************************\n",
            "[2 0 2 2 0 0 2 1 0 0] \n",
            " 7054    2\n",
            "4692    0\n",
            "907     2\n",
            "4498    2\n",
            "9957    0\n",
            "3341    0\n",
            "7152    2\n",
            "1152    1\n",
            "7105    0\n",
            "2066    0\n",
            "Name: class, dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Classification Report"
      ],
      "metadata": {
        "id": "4XuWBFiDzcjE"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import classification_report\n",
        "target_names = ['0', '1', '2']\n",
        "\n",
        "print('\\033[1m Decision Tree -\\n \\033[0m',classification_report(y_preds,y_test,target_names=target_names) + '\\n')\n",
        "print('\\033[1m Linear Regression -\\n \\033[0m',classification_report(y_predsLR,y_test,target_names=target_names) + '\\n')\n",
        "print('\\033[1m KNN Classifier -\\n \\033[0m',classification_report(y_predsNeNe,y_test,target_names=target_names) + '\\n')"
      ],
      "metadata": {
        "id": "dpmGaCdvyaPc",
        "outputId": "df50fbab-dfce-402b-d5e1-77e78033abfe",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1m Decision Tree -\n",
            " \u001b[0m               precision    recall  f1-score   support\n",
            "\n",
            "           0       0.99      0.99      0.99      1504\n",
            "           1       0.94      0.98      0.96       255\n",
            "           2       1.00      1.00      1.00      1241\n",
            "\n",
            "    accuracy                           0.99      3000\n",
            "   macro avg       0.98      0.99      0.98      3000\n",
            "weighted avg       0.99      0.99      0.99      3000\n",
            "\n",
            "\n",
            "\u001b[1m Linear Regression -\n",
            " \u001b[0m               precision    recall  f1-score   support\n",
            "\n",
            "           0       0.97      0.99      0.98      1469\n",
            "           1       0.94      0.97      0.96       258\n",
            "           2       0.99      0.96      0.98      1273\n",
            "\n",
            "    accuracy                           0.98      3000\n",
            "   macro avg       0.97      0.97      0.97      3000\n",
            "weighted avg       0.98      0.98      0.98      3000\n",
            "\n",
            "\n",
            "\u001b[1m KNN Classifier -\n",
            " \u001b[0m               precision    recall  f1-score   support\n",
            "\n",
            "           0       0.94      0.89      0.91      1575\n",
            "           1       0.88      0.97      0.92       240\n",
            "           2       0.88      0.92      0.90      1185\n",
            "\n",
            "    accuracy                           0.91      3000\n",
            "   macro avg       0.90      0.93      0.91      3000\n",
            "weighted avg       0.91      0.91      0.91      3000\n",
            "\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.tree import export_graphviz\n",
        "import pydotplus\n",
        "from IPython.display import Image\n",
        "\n",
        "#Visualising the Decision Tree\n",
        "dot_data = export_graphviz(dtClassifier, out_file=None,\n",
        "                           feature_names=['feature1','feature2','feature3','faeture4','feature5','feature6','feature7','feature8','feature9','feature10','feature11','feature12','feature13','feature14','feature15'],\n",
        "                           class_names=['0', '1', '2'],\n",
        "                           filled=True, rounded=True,\n",
        "                           special_characters=True)\n",
        "\n",
        "graph=pydotplus.graph_from_dot_data(dot_data)\n",
        "Image(graph.create_png())"
      ],
      "metadata": {
        "id": "-oNii6Uy0bjz",
        "outputId": "e3bf1733-31e2-4ca4-889f-280619e19cf4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 594
        }
      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "AmlwjufX2pSP"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}