rockVsmine.ipynb

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    "colab": {
      "name": "rockVsmine.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyOVETD44N3A58lYvd9q2Aq6",
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/krunal16-c/MachineLearningProjects/blob/main/rockVsmine.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "rock vs mine prediction using logistic regression"
      ],
      "metadata": {
        "id": "zOnGFf1lhgYK"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# importing all the required libraries\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.metrics import accuracy_score\n",
        "\n"
      ],
      "metadata": {
        "id": "7jXltCN1hsWd"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Collecting nd processing data\n"
      ],
      "metadata": {
        "id": "LMOdePOWjJrY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# using pandas Dataframe to load dataset\n",
        "sonar_data = pd.read_csv('/content/Copy of sonar data.csv',header=None)"
      ],
      "metadata": {
        "id": "LhC8G_S_i79f"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sonar_data.head() # gets first five rows"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 270
        },
        "id": "QC15Om-PjlXb",
        "outputId": "4fb066dc-3462-4dd3-e7bd-39c245d8dfd3"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>0</th>\n",
              "      <th>1</th>\n",
              "      <th>2</th>\n",
              "      <th>3</th>\n",
              "      <th>4</th>\n",
              "      <th>5</th>\n",
              "      <th>6</th>\n",
              "      <th>7</th>\n",
              "      <th>8</th>\n",
              "      <th>9</th>\n",
              "      <th>10</th>\n",
              "      <th>11</th>\n",
              "      <th>12</th>\n",
              "      <th>13</th>\n",
              "      <th>14</th>\n",
              "      <th>15</th>\n",
              "      <th>16</th>\n",
              "      <th>17</th>\n",
              "      <th>18</th>\n",
              "      <th>19</th>\n",
              "      <th>20</th>\n",
              "      <th>21</th>\n",
              "      <th>22</th>\n",
              "      <th>23</th>\n",
              "      <th>24</th>\n",
              "      <th>25</th>\n",
              "      <th>26</th>\n",
              "      <th>27</th>\n",
              "      <th>28</th>\n",
              "      <th>29</th>\n",
              "      <th>30</th>\n",
              "      <th>31</th>\n",
              "      <th>32</th>\n",
              "      <th>33</th>\n",
              "      <th>34</th>\n",
              "      <th>35</th>\n",
              "      <th>36</th>\n",
              "      <th>37</th>\n",
              "      <th>38</th>\n",
              "      <th>39</th>\n",
              "      <th>40</th>\n",
              "      <th>41</th>\n",
              "      <th>42</th>\n",
              "      <th>43</th>\n",
              "      <th>44</th>\n",
              "      <th>45</th>\n",
              "      <th>46</th>\n",
              "      <th>47</th>\n",
              "      <th>48</th>\n",
              "      <th>49</th>\n",
              "      <th>50</th>\n",
              "      <th>51</th>\n",
              "      <th>52</th>\n",
              "      <th>53</th>\n",
              "      <th>54</th>\n",
              "      <th>55</th>\n",
              "      <th>56</th>\n",
              "      <th>57</th>\n",
              "      <th>58</th>\n",
              "      <th>59</th>\n",
              "      <th>60</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.0200</td>\n",
              "      <td>0.0371</td>\n",
              "      <td>0.0428</td>\n",
              "      <td>0.0207</td>\n",
              "      <td>0.0954</td>\n",
              "      <td>0.0986</td>\n",
              "      <td>0.1539</td>\n",
              "      <td>0.1601</td>\n",
              "      <td>0.3109</td>\n",
              "      <td>0.2111</td>\n",
              "      <td>0.1609</td>\n",
              "      <td>0.1582</td>\n",
              "      <td>0.2238</td>\n",
              "      <td>0.0645</td>\n",
              "      <td>0.0660</td>\n",
              "      <td>0.2273</td>\n",
              "      <td>0.3100</td>\n",
              "      <td>0.2999</td>\n",
              "      <td>0.5078</td>\n",
              "      <td>0.4797</td>\n",
              "      <td>0.5783</td>\n",
              "      <td>0.5071</td>\n",
              "      <td>0.4328</td>\n",
              "      <td>0.5550</td>\n",
              "      <td>0.6711</td>\n",
              "      <td>0.6415</td>\n",
              "      <td>0.7104</td>\n",
              "      <td>0.8080</td>\n",
              "      <td>0.6791</td>\n",
              "      <td>0.3857</td>\n",
              "      <td>0.1307</td>\n",
              "      <td>0.2604</td>\n",
              "      <td>0.5121</td>\n",
              "      <td>0.7547</td>\n",
              "      <td>0.8537</td>\n",
              "      <td>0.8507</td>\n",
              "      <td>0.6692</td>\n",
              "      <td>0.6097</td>\n",
              "      <td>0.4943</td>\n",
              "      <td>0.2744</td>\n",
              "      <td>0.0510</td>\n",
              "      <td>0.2834</td>\n",
              "      <td>0.2825</td>\n",
              "      <td>0.4256</td>\n",
              "      <td>0.2641</td>\n",
              "      <td>0.1386</td>\n",
              "      <td>0.1051</td>\n",
              "      <td>0.1343</td>\n",
              "      <td>0.0383</td>\n",
              "      <td>0.0324</td>\n",
              "      <td>0.0232</td>\n",
              "      <td>0.0027</td>\n",
              "      <td>0.0065</td>\n",
              "      <td>0.0159</td>\n",
              "      <td>0.0072</td>\n",
              "      <td>0.0167</td>\n",
              "      <td>0.0180</td>\n",
              "      <td>0.0084</td>\n",
              "      <td>0.0090</td>\n",
              "      <td>0.0032</td>\n",
              "      <td>R</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.0453</td>\n",
              "      <td>0.0523</td>\n",
              "      <td>0.0843</td>\n",
              "      <td>0.0689</td>\n",
              "      <td>0.1183</td>\n",
              "      <td>0.2583</td>\n",
              "      <td>0.2156</td>\n",
              "      <td>0.3481</td>\n",
              "      <td>0.3337</td>\n",
              "      <td>0.2872</td>\n",
              "      <td>0.4918</td>\n",
              "      <td>0.6552</td>\n",
              "      <td>0.6919</td>\n",
              "      <td>0.7797</td>\n",
              "      <td>0.7464</td>\n",
              "      <td>0.9444</td>\n",
              "      <td>1.0000</td>\n",
              "      <td>0.8874</td>\n",
              "      <td>0.8024</td>\n",
              "      <td>0.7818</td>\n",
              "      <td>0.5212</td>\n",
              "      <td>0.4052</td>\n",
              "      <td>0.3957</td>\n",
              "      <td>0.3914</td>\n",
              "      <td>0.3250</td>\n",
              "      <td>0.3200</td>\n",
              "      <td>0.3271</td>\n",
              "      <td>0.2767</td>\n",
              "      <td>0.4423</td>\n",
              "      <td>0.2028</td>\n",
              "      <td>0.3788</td>\n",
              "      <td>0.2947</td>\n",
              "      <td>0.1984</td>\n",
              "      <td>0.2341</td>\n",
              "      <td>0.1306</td>\n",
              "      <td>0.4182</td>\n",
              "      <td>0.3835</td>\n",
              "      <td>0.1057</td>\n",
              "      <td>0.1840</td>\n",
              "      <td>0.1970</td>\n",
              "      <td>0.1674</td>\n",
              "      <td>0.0583</td>\n",
              "      <td>0.1401</td>\n",
              "      <td>0.1628</td>\n",
              "      <td>0.0621</td>\n",
              "      <td>0.0203</td>\n",
              "      <td>0.0530</td>\n",
              "      <td>0.0742</td>\n",
              "      <td>0.0409</td>\n",
              "      <td>0.0061</td>\n",
              "      <td>0.0125</td>\n",
              "      <td>0.0084</td>\n",
              "      <td>0.0089</td>\n",
              "      <td>0.0048</td>\n",
              "      <td>0.0094</td>\n",
              "      <td>0.0191</td>\n",
              "      <td>0.0140</td>\n",
              "      <td>0.0049</td>\n",
              "      <td>0.0052</td>\n",
              "      <td>0.0044</td>\n",
              "      <td>R</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.0262</td>\n",
              "      <td>0.0582</td>\n",
              "      <td>0.1099</td>\n",
              "      <td>0.1083</td>\n",
              "      <td>0.0974</td>\n",
              "      <td>0.2280</td>\n",
              "      <td>0.2431</td>\n",
              "      <td>0.3771</td>\n",
              "      <td>0.5598</td>\n",
              "      <td>0.6194</td>\n",
              "      <td>0.6333</td>\n",
              "      <td>0.7060</td>\n",
              "      <td>0.5544</td>\n",
              "      <td>0.5320</td>\n",
              "      <td>0.6479</td>\n",
              "      <td>0.6931</td>\n",
              "      <td>0.6759</td>\n",
              "      <td>0.7551</td>\n",
              "      <td>0.8929</td>\n",
              "      <td>0.8619</td>\n",
              "      <td>0.7974</td>\n",
              "      <td>0.6737</td>\n",
              "      <td>0.4293</td>\n",
              "      <td>0.3648</td>\n",
              "      <td>0.5331</td>\n",
              "      <td>0.2413</td>\n",
              "      <td>0.5070</td>\n",
              "      <td>0.8533</td>\n",
              "      <td>0.6036</td>\n",
              "      <td>0.8514</td>\n",
              "      <td>0.8512</td>\n",
              "      <td>0.5045</td>\n",
              "      <td>0.1862</td>\n",
              "      <td>0.2709</td>\n",
              "      <td>0.4232</td>\n",
              "      <td>0.3043</td>\n",
              "      <td>0.6116</td>\n",
              "      <td>0.6756</td>\n",
              "      <td>0.5375</td>\n",
              "      <td>0.4719</td>\n",
              "      <td>0.4647</td>\n",
              "      <td>0.2587</td>\n",
              "      <td>0.2129</td>\n",
              "      <td>0.2222</td>\n",
              "      <td>0.2111</td>\n",
              "      <td>0.0176</td>\n",
              "      <td>0.1348</td>\n",
              "      <td>0.0744</td>\n",
              "      <td>0.0130</td>\n",
              "      <td>0.0106</td>\n",
              "      <td>0.0033</td>\n",
              "      <td>0.0232</td>\n",
              "      <td>0.0166</td>\n",
              "      <td>0.0095</td>\n",
              "      <td>0.0180</td>\n",
              "      <td>0.0244</td>\n",
              "      <td>0.0316</td>\n",
              "      <td>0.0164</td>\n",
              "      <td>0.0095</td>\n",
              "      <td>0.0078</td>\n",
              "      <td>R</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.0100</td>\n",
              "      <td>0.0171</td>\n",
              "      <td>0.0623</td>\n",
              "      <td>0.0205</td>\n",
              "      <td>0.0205</td>\n",
              "      <td>0.0368</td>\n",
              "      <td>0.1098</td>\n",
              "      <td>0.1276</td>\n",
              "      <td>0.0598</td>\n",
              "      <td>0.1264</td>\n",
              "      <td>0.0881</td>\n",
              "      <td>0.1992</td>\n",
              "      <td>0.0184</td>\n",
              "      <td>0.2261</td>\n",
              "      <td>0.1729</td>\n",
              "      <td>0.2131</td>\n",
              "      <td>0.0693</td>\n",
              "      <td>0.2281</td>\n",
              "      <td>0.4060</td>\n",
              "      <td>0.3973</td>\n",
              "      <td>0.2741</td>\n",
              "      <td>0.3690</td>\n",
              "      <td>0.5556</td>\n",
              "      <td>0.4846</td>\n",
              "      <td>0.3140</td>\n",
              "      <td>0.5334</td>\n",
              "      <td>0.5256</td>\n",
              "      <td>0.2520</td>\n",
              "      <td>0.2090</td>\n",
              "      <td>0.3559</td>\n",
              "      <td>0.6260</td>\n",
              "      <td>0.7340</td>\n",
              "      <td>0.6120</td>\n",
              "      <td>0.3497</td>\n",
              "      <td>0.3953</td>\n",
              "      <td>0.3012</td>\n",
              "      <td>0.5408</td>\n",
              "      <td>0.8814</td>\n",
              "      <td>0.9857</td>\n",
              "      <td>0.9167</td>\n",
              "      <td>0.6121</td>\n",
              "      <td>0.5006</td>\n",
              "      <td>0.3210</td>\n",
              "      <td>0.3202</td>\n",
              "      <td>0.4295</td>\n",
              "      <td>0.3654</td>\n",
              "      <td>0.2655</td>\n",
              "      <td>0.1576</td>\n",
              "      <td>0.0681</td>\n",
              "      <td>0.0294</td>\n",
              "      <td>0.0241</td>\n",
              "      <td>0.0121</td>\n",
              "      <td>0.0036</td>\n",
              "      <td>0.0150</td>\n",
              "      <td>0.0085</td>\n",
              "      <td>0.0073</td>\n",
              "      <td>0.0050</td>\n",
              "      <td>0.0044</td>\n",
              "      <td>0.0040</td>\n",
              "      <td>0.0117</td>\n",
              "      <td>R</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.0762</td>\n",
              "      <td>0.0666</td>\n",
              "      <td>0.0481</td>\n",
              "      <td>0.0394</td>\n",
              "      <td>0.0590</td>\n",
              "      <td>0.0649</td>\n",
              "      <td>0.1209</td>\n",
              "      <td>0.2467</td>\n",
              "      <td>0.3564</td>\n",
              "      <td>0.4459</td>\n",
              "      <td>0.4152</td>\n",
              "      <td>0.3952</td>\n",
              "      <td>0.4256</td>\n",
              "      <td>0.4135</td>\n",
              "      <td>0.4528</td>\n",
              "      <td>0.5326</td>\n",
              "      <td>0.7306</td>\n",
              "      <td>0.6193</td>\n",
              "      <td>0.2032</td>\n",
              "      <td>0.4636</td>\n",
              "      <td>0.4148</td>\n",
              "      <td>0.4292</td>\n",
              "      <td>0.5730</td>\n",
              "      <td>0.5399</td>\n",
              "      <td>0.3161</td>\n",
              "      <td>0.2285</td>\n",
              "      <td>0.6995</td>\n",
              "      <td>1.0000</td>\n",
              "      <td>0.7262</td>\n",
              "      <td>0.4724</td>\n",
              "      <td>0.5103</td>\n",
              "      <td>0.5459</td>\n",
              "      <td>0.2881</td>\n",
              "      <td>0.0981</td>\n",
              "      <td>0.1951</td>\n",
              "      <td>0.4181</td>\n",
              "      <td>0.4604</td>\n",
              "      <td>0.3217</td>\n",
              "      <td>0.2828</td>\n",
              "      <td>0.2430</td>\n",
              "      <td>0.1979</td>\n",
              "      <td>0.2444</td>\n",
              "      <td>0.1847</td>\n",
              "      <td>0.0841</td>\n",
              "      <td>0.0692</td>\n",
              "      <td>0.0528</td>\n",
              "      <td>0.0357</td>\n",
              "      <td>0.0085</td>\n",
              "      <td>0.0230</td>\n",
              "      <td>0.0046</td>\n",
              "      <td>0.0156</td>\n",
              "      <td>0.0031</td>\n",
              "      <td>0.0054</td>\n",
              "      <td>0.0105</td>\n",
              "      <td>0.0110</td>\n",
              "      <td>0.0015</td>\n",
              "      <td>0.0072</td>\n",
              "      <td>0.0048</td>\n",
              "      <td>0.0107</td>\n",
              "      <td>0.0094</td>\n",
              "      <td>R</td>\n",
              "    </tr>\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-45b4c7bd-1c7b-4d14-af04-e767b591f299 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-45b4c7bd-1c7b-4d14-af04-e767b591f299');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' 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",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "       0       1       2       3       4   ...      56      57      58      59  60\n",
              "0  0.0200  0.0371  0.0428  0.0207  0.0954  ...  0.0180  0.0084  0.0090  0.0032   R\n",
              "1  0.0453  0.0523  0.0843  0.0689  0.1183  ...  0.0140  0.0049  0.0052  0.0044   R\n",
              "2  0.0262  0.0582  0.1099  0.1083  0.0974  ...  0.0316  0.0164  0.0095  0.0078   R\n",
              "3  0.0100  0.0171  0.0623  0.0205  0.0205  ...  0.0050  0.0044  0.0040  0.0117   R\n",
              "4  0.0762  0.0666  0.0481  0.0394  0.0590  ...  0.0072  0.0048  0.0107  0.0094   R\n",
              "\n",
              "[5 rows x 61 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# number of rows and columns\n",
        "sonar_data.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Wfd4pqPyjqBO",
        "outputId": "084e5688-76a1-4133-9802-52be5262df0e"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(208, 61)"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sonar_data.describe() # statistical information for data"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 364
        },
        "id": "DfH8k6-AkD76",
        "outputId": "f3962802-f1d0-488c-b01d-0f8b8b890cdc"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-11422289-6fd3-4877-9cbe-8983974f6220\">\n",
              "    <div 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>0</th>\n",
              "      <th>1</th>\n",
              "      <th>2</th>\n",
              "      <th>3</th>\n",
              "      <th>4</th>\n",
              "      <th>5</th>\n",
              "      <th>6</th>\n",
              "      <th>7</th>\n",
              "      <th>8</th>\n",
              "      <th>9</th>\n",
              "      <th>10</th>\n",
              "      <th>11</th>\n",
              "      <th>12</th>\n",
              "      <th>13</th>\n",
              "      <th>14</th>\n",
              "      <th>15</th>\n",
              "      <th>16</th>\n",
              "      <th>17</th>\n",
              "      <th>18</th>\n",
              "      <th>19</th>\n",
              "      <th>20</th>\n",
              "      <th>21</th>\n",
              "      <th>22</th>\n",
              "      <th>23</th>\n",
              "      <th>24</th>\n",
              "      <th>25</th>\n",
              "      <th>26</th>\n",
              "      <th>27</th>\n",
              "      <th>28</th>\n",
              "      <th>29</th>\n",
              "      <th>30</th>\n",
              "      <th>31</th>\n",
              "      <th>32</th>\n",
              "      <th>33</th>\n",
              "      <th>34</th>\n",
              "      <th>35</th>\n",
              "      <th>36</th>\n",
              "      <th>37</th>\n",
              "      <th>38</th>\n",
              "      <th>39</th>\n",
              "      <th>40</th>\n",
              "      <th>41</th>\n",
              "      <th>42</th>\n",
              "      <th>43</th>\n",
              "      <th>44</th>\n",
              "      <th>45</th>\n",
              "      <th>46</th>\n",
              "      <th>47</th>\n",
              "      <th>48</th>\n",
              "      <th>49</th>\n",
              "      <th>50</th>\n",
              "      <th>51</th>\n",
              "      <th>52</th>\n",
              "      <th>53</th>\n",
              "      <th>54</th>\n",
              "      <th>55</th>\n",
              "      <th>56</th>\n",
              "      <th>57</th>\n",
              "      <th>58</th>\n",
              "      <th>59</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>208.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>0.029164</td>\n",
              "      <td>0.038437</td>\n",
              "      <td>0.043832</td>\n",
              "      <td>0.053892</td>\n",
              "      <td>0.075202</td>\n",
              "      <td>0.104570</td>\n",
              "      <td>0.121747</td>\n",
              "      <td>0.134799</td>\n",
              "      <td>0.178003</td>\n",
              "      <td>0.208259</td>\n",
              "      <td>0.236013</td>\n",
              "      <td>0.250221</td>\n",
              "      <td>0.273305</td>\n",
              "      <td>0.296568</td>\n",
              "      <td>0.320201</td>\n",
              "      <td>0.378487</td>\n",
              "      <td>0.415983</td>\n",
              "      <td>0.452318</td>\n",
              "      <td>0.504812</td>\n",
              "      <td>0.563047</td>\n",
              "      <td>0.609060</td>\n",
              "      <td>0.624275</td>\n",
              "      <td>0.646975</td>\n",
              "      <td>0.672654</td>\n",
              "      <td>0.675424</td>\n",
              "      <td>0.699866</td>\n",
              "      <td>0.702155</td>\n",
              "      <td>0.694024</td>\n",
              "      <td>0.642074</td>\n",
              "      <td>0.580928</td>\n",
              "      <td>0.504475</td>\n",
              "      <td>0.439040</td>\n",
              "      <td>0.417220</td>\n",
              "      <td>0.403233</td>\n",
              "      <td>0.392571</td>\n",
              "      <td>0.384848</td>\n",
              "      <td>0.363807</td>\n",
              "      <td>0.339657</td>\n",
              "      <td>0.325800</td>\n",
              "      <td>0.311207</td>\n",
              "      <td>0.289252</td>\n",
              "      <td>0.278293</td>\n",
              "      <td>0.246542</td>\n",
              "      <td>0.214075</td>\n",
              "      <td>0.197232</td>\n",
              "      <td>0.160631</td>\n",
              "      <td>0.122453</td>\n",
              "      <td>0.091424</td>\n",
              "      <td>0.051929</td>\n",
              "      <td>0.020424</td>\n",
              "      <td>0.016069</td>\n",
              "      <td>0.013420</td>\n",
              "      <td>0.010709</td>\n",
              "      <td>0.010941</td>\n",
              "      <td>0.009290</td>\n",
              "      <td>0.008222</td>\n",
              "      <td>0.007820</td>\n",
              "      <td>0.007949</td>\n",
              "      <td>0.007941</td>\n",
              "      <td>0.006507</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>0.022991</td>\n",
              "      <td>0.032960</td>\n",
              "      <td>0.038428</td>\n",
              "      <td>0.046528</td>\n",
              "      <td>0.055552</td>\n",
              "      <td>0.059105</td>\n",
              "      <td>0.061788</td>\n",
              "      <td>0.085152</td>\n",
              "      <td>0.118387</td>\n",
              "      <td>0.134416</td>\n",
              "      <td>0.132705</td>\n",
              "      <td>0.140072</td>\n",
              "      <td>0.140962</td>\n",
              "      <td>0.164474</td>\n",
              "      <td>0.205427</td>\n",
              "      <td>0.232650</td>\n",
              "      <td>0.263677</td>\n",
              "      <td>0.261529</td>\n",
              "      <td>0.257988</td>\n",
              "      <td>0.262653</td>\n",
              "      <td>0.257818</td>\n",
              "      <td>0.255883</td>\n",
              "      <td>0.250175</td>\n",
              "      <td>0.239116</td>\n",
              "      <td>0.244926</td>\n",
              "      <td>0.237228</td>\n",
              "      <td>0.245657</td>\n",
              "      <td>0.237189</td>\n",
              "      <td>0.240250</td>\n",
              "      <td>0.220749</td>\n",
              "      <td>0.213992</td>\n",
              "      <td>0.213237</td>\n",
              "      <td>0.206513</td>\n",
              "      <td>0.231242</td>\n",
              "      <td>0.259132</td>\n",
              "      <td>0.264121</td>\n",
              "      <td>0.239912</td>\n",
              "      <td>0.212973</td>\n",
              "      <td>0.199075</td>\n",
              "      <td>0.178662</td>\n",
              "      <td>0.171111</td>\n",
              "      <td>0.168728</td>\n",
              "      <td>0.138993</td>\n",
              "      <td>0.133291</td>\n",
              "      <td>0.151628</td>\n",
              "      <td>0.133938</td>\n",
              "      <td>0.086953</td>\n",
              "      <td>0.062417</td>\n",
              "      <td>0.035954</td>\n",
              "      <td>0.013665</td>\n",
              "      <td>0.012008</td>\n",
              "      <td>0.009634</td>\n",
              "      <td>0.007060</td>\n",
              "      <td>0.007301</td>\n",
              "      <td>0.007088</td>\n",
              "      <td>0.005736</td>\n",
              "      <td>0.005785</td>\n",
              "      <td>0.006470</td>\n",
              "      <td>0.006181</td>\n",
              "      <td>0.005031</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.001500</td>\n",
              "      <td>0.000600</td>\n",
              "      <td>0.001500</td>\n",
              "      <td>0.005800</td>\n",
              "      <td>0.006700</td>\n",
              "      <td>0.010200</td>\n",
              "      <td>0.003300</td>\n",
              "      <td>0.005500</td>\n",
              "      <td>0.007500</td>\n",
              "      <td>0.011300</td>\n",
              "      <td>0.028900</td>\n",
              "      <td>0.023600</td>\n",
              "      <td>0.018400</td>\n",
              "      <td>0.027300</td>\n",
              "      <td>0.003100</td>\n",
              "      <td>0.016200</td>\n",
              "      <td>0.034900</td>\n",
              "      <td>0.037500</td>\n",
              "      <td>0.049400</td>\n",
              "      <td>0.065600</td>\n",
              "      <td>0.051200</td>\n",
              "      <td>0.021900</td>\n",
              "      <td>0.056300</td>\n",
              "      <td>0.023900</td>\n",
              "      <td>0.024000</td>\n",
              "      <td>0.092100</td>\n",
              "      <td>0.048100</td>\n",
              "      <td>0.028400</td>\n",
              "      <td>0.014400</td>\n",
              "      <td>0.061300</td>\n",
              "      <td>0.048200</td>\n",
              "      <td>0.040400</td>\n",
              "      <td>0.047700</td>\n",
              "      <td>0.021200</td>\n",
              "      <td>0.022300</td>\n",
              "      <td>0.008000</td>\n",
              "      <td>0.035100</td>\n",
              "      <td>0.038300</td>\n",
              "      <td>0.037100</td>\n",
              "      <td>0.011700</td>\n",
              "      <td>0.036000</td>\n",
              "      <td>0.005600</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000800</td>\n",
              "      <td>0.000500</td>\n",
              "      <td>0.001000</td>\n",
              "      <td>0.000600</td>\n",
              "      <td>0.000400</td>\n",
              "      <td>0.000300</td>\n",
              "      <td>0.000300</td>\n",
              "      <td>0.000100</td>\n",
              "      <td>0.000600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>0.013350</td>\n",
              "      <td>0.016450</td>\n",
              "      <td>0.018950</td>\n",
              "      <td>0.024375</td>\n",
              "      <td>0.038050</td>\n",
              "      <td>0.067025</td>\n",
              "      <td>0.080900</td>\n",
              "      <td>0.080425</td>\n",
              "      <td>0.097025</td>\n",
              "      <td>0.111275</td>\n",
              "      <td>0.129250</td>\n",
              "      <td>0.133475</td>\n",
              "      <td>0.166125</td>\n",
              "      <td>0.175175</td>\n",
              "      <td>0.164625</td>\n",
              "      <td>0.196300</td>\n",
              "      <td>0.205850</td>\n",
              "      <td>0.242075</td>\n",
              "      <td>0.299075</td>\n",
              "      <td>0.350625</td>\n",
              "      <td>0.399725</td>\n",
              "      <td>0.406925</td>\n",
              "      <td>0.450225</td>\n",
              "      <td>0.540725</td>\n",
              "      <td>0.525800</td>\n",
              "      <td>0.544175</td>\n",
              "      <td>0.531900</td>\n",
              "      <td>0.534775</td>\n",
              "      <td>0.463700</td>\n",
              "      <td>0.411400</td>\n",
              "      <td>0.345550</td>\n",
              "      <td>0.281400</td>\n",
              "      <td>0.257875</td>\n",
              "      <td>0.217575</td>\n",
              "      <td>0.179375</td>\n",
              "      <td>0.154350</td>\n",
              "      <td>0.160100</td>\n",
              "      <td>0.174275</td>\n",
              "      <td>0.173975</td>\n",
              "      <td>0.186450</td>\n",
              "      <td>0.163100</td>\n",
              "      <td>0.158900</td>\n",
              "      <td>0.155200</td>\n",
              "      <td>0.126875</td>\n",
              "      <td>0.094475</td>\n",
              "      <td>0.068550</td>\n",
              "      <td>0.064250</td>\n",
              "      <td>0.045125</td>\n",
              "      <td>0.026350</td>\n",
              "      <td>0.011550</td>\n",
              "      <td>0.008425</td>\n",
              "      <td>0.007275</td>\n",
              "      <td>0.005075</td>\n",
              "      <td>0.005375</td>\n",
              "      <td>0.004150</td>\n",
              "      <td>0.004400</td>\n",
              "      <td>0.003700</td>\n",
              "      <td>0.003600</td>\n",
              "      <td>0.003675</td>\n",
              "      <td>0.003100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>0.022800</td>\n",
              "      <td>0.030800</td>\n",
              "      <td>0.034300</td>\n",
              "      <td>0.044050</td>\n",
              "      <td>0.062500</td>\n",
              "      <td>0.092150</td>\n",
              "      <td>0.106950</td>\n",
              "      <td>0.112100</td>\n",
              "      <td>0.152250</td>\n",
              "      <td>0.182400</td>\n",
              "      <td>0.224800</td>\n",
              "      <td>0.249050</td>\n",
              "      <td>0.263950</td>\n",
              "      <td>0.281100</td>\n",
              "      <td>0.281700</td>\n",
              "      <td>0.304700</td>\n",
              "      <td>0.308400</td>\n",
              "      <td>0.368300</td>\n",
              "      <td>0.434950</td>\n",
              "      <td>0.542500</td>\n",
              "      <td>0.617700</td>\n",
              "      <td>0.664900</td>\n",
              "      <td>0.699700</td>\n",
              "      <td>0.698500</td>\n",
              "      <td>0.721100</td>\n",
              "      <td>0.754500</td>\n",
              "      <td>0.745600</td>\n",
              "      <td>0.731900</td>\n",
              "      <td>0.680800</td>\n",
              "      <td>0.607150</td>\n",
              "      <td>0.490350</td>\n",
              "      <td>0.429600</td>\n",
              "      <td>0.391200</td>\n",
              "      <td>0.351050</td>\n",
              "      <td>0.312750</td>\n",
              "      <td>0.321150</td>\n",
              "      <td>0.306300</td>\n",
              "      <td>0.312700</td>\n",
              "      <td>0.283500</td>\n",
              "      <td>0.278050</td>\n",
              "      <td>0.259500</td>\n",
              "      <td>0.245100</td>\n",
              "      <td>0.222550</td>\n",
              "      <td>0.177700</td>\n",
              "      <td>0.148000</td>\n",
              "      <td>0.121350</td>\n",
              "      <td>0.101650</td>\n",
              "      <td>0.078100</td>\n",
              "      <td>0.044700</td>\n",
              "      <td>0.017900</td>\n",
              "      <td>0.013900</td>\n",
              "      <td>0.011400</td>\n",
              "      <td>0.009550</td>\n",
              "      <td>0.009300</td>\n",
              "      <td>0.007500</td>\n",
              "      <td>0.006850</td>\n",
              "      <td>0.005950</td>\n",
              "      <td>0.005800</td>\n",
              "      <td>0.006400</td>\n",
              "      <td>0.005300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>0.035550</td>\n",
              "      <td>0.047950</td>\n",
              "      <td>0.057950</td>\n",
              "      <td>0.064500</td>\n",
              "      <td>0.100275</td>\n",
              "      <td>0.134125</td>\n",
              "      <td>0.154000</td>\n",
              "      <td>0.169600</td>\n",
              "      <td>0.233425</td>\n",
              "      <td>0.268700</td>\n",
              "      <td>0.301650</td>\n",
              "      <td>0.331250</td>\n",
              "      <td>0.351250</td>\n",
              "      <td>0.386175</td>\n",
              "      <td>0.452925</td>\n",
              "      <td>0.535725</td>\n",
              "      <td>0.659425</td>\n",
              "      <td>0.679050</td>\n",
              "      <td>0.731400</td>\n",
              "      <td>0.809325</td>\n",
              "      <td>0.816975</td>\n",
              "      <td>0.831975</td>\n",
              "      <td>0.848575</td>\n",
              "      <td>0.872175</td>\n",
              "      <td>0.873725</td>\n",
              "      <td>0.893800</td>\n",
              "      <td>0.917100</td>\n",
              "      <td>0.900275</td>\n",
              "      <td>0.852125</td>\n",
              "      <td>0.735175</td>\n",
              "      <td>0.641950</td>\n",
              "      <td>0.580300</td>\n",
              "      <td>0.556125</td>\n",
              "      <td>0.596125</td>\n",
              "      <td>0.593350</td>\n",
              "      <td>0.556525</td>\n",
              "      <td>0.518900</td>\n",
              "      <td>0.440550</td>\n",
              "      <td>0.434900</td>\n",
              "      <td>0.424350</td>\n",
              "      <td>0.387525</td>\n",
              "      <td>0.384250</td>\n",
              "      <td>0.324525</td>\n",
              "      <td>0.271750</td>\n",
              "      <td>0.231550</td>\n",
              "      <td>0.200375</td>\n",
              "      <td>0.154425</td>\n",
              "      <td>0.120100</td>\n",
              "      <td>0.068525</td>\n",
              "      <td>0.025275</td>\n",
              "      <td>0.020825</td>\n",
              "      <td>0.016725</td>\n",
              "      <td>0.014900</td>\n",
              "      <td>0.014500</td>\n",
              "      <td>0.012100</td>\n",
              "      <td>0.010575</td>\n",
              "      <td>0.010425</td>\n",
              "      <td>0.010350</td>\n",
              "      <td>0.010325</td>\n",
              "      <td>0.008525</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>0.137100</td>\n",
              "      <td>0.233900</td>\n",
              "      <td>0.305900</td>\n",
              "      <td>0.426400</td>\n",
              "      <td>0.401000</td>\n",
              "      <td>0.382300</td>\n",
              "      <td>0.372900</td>\n",
              "      <td>0.459000</td>\n",
              "      <td>0.682800</td>\n",
              "      <td>0.710600</td>\n",
              "      <td>0.734200</td>\n",
              "      <td>0.706000</td>\n",
              "      <td>0.713100</td>\n",
              "      <td>0.997000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.998800</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.965700</td>\n",
              "      <td>0.930600</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.964700</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.949700</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.985700</td>\n",
              "      <td>0.929700</td>\n",
              "      <td>0.899500</td>\n",
              "      <td>0.824600</td>\n",
              "      <td>0.773300</td>\n",
              "      <td>0.776200</td>\n",
              "      <td>0.703400</td>\n",
              "      <td>0.729200</td>\n",
              "      <td>0.552200</td>\n",
              "      <td>0.333900</td>\n",
              "      <td>0.198100</td>\n",
              "      <td>0.082500</td>\n",
              "      <td>0.100400</td>\n",
              "      <td>0.070900</td>\n",
              "      <td>0.039000</td>\n",
              "      <td>0.035200</td>\n",
              "      <td>0.044700</td>\n",
              "      <td>0.039400</td>\n",
              "      <td>0.035500</td>\n",
              "      <td>0.044000</td>\n",
              "      <td>0.036400</td>\n",
              "      <td>0.043900</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-11422289-6fd3-4877-9cbe-8983974f6220')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
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              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "      border-radius: 50%;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "\n",
              "      <script>\n",
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              "          document.querySelector('#df-11422289-6fd3-4877-9cbe-8983974f6220 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-11422289-6fd3-4877-9cbe-8983974f6220');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
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              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "               0           1           2   ...          57          58          59\n",
              "count  208.000000  208.000000  208.000000  ...  208.000000  208.000000  208.000000\n",
              "mean     0.029164    0.038437    0.043832  ...    0.007949    0.007941    0.006507\n",
              "std      0.022991    0.032960    0.038428  ...    0.006470    0.006181    0.005031\n",
              "min      0.001500    0.000600    0.001500  ...    0.000300    0.000100    0.000600\n",
              "25%      0.013350    0.016450    0.018950  ...    0.003600    0.003675    0.003100\n",
              "50%      0.022800    0.030800    0.034300  ...    0.005800    0.006400    0.005300\n",
              "75%      0.035550    0.047950    0.057950  ...    0.010350    0.010325    0.008525\n",
              "max      0.137100    0.233900    0.305900  ...    0.044000    0.036400    0.043900\n",
              "\n",
              "[8 rows x 60 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# finding how many rocks and how many mines\n",
        "sonar_data[60].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Jgrt0VyIkOfG",
        "outputId": "bd35462e-b44f-4447-e6b1-493cd103519a"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "M    111\n",
              "R     97\n",
              "Name: 60, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "M is for mine\n",
        "R is for rock"
      ],
      "metadata": {
        "id": "RQVJARitk6Rh"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# grouping data by mean\n",
        "# finding mean of all the 60 columns so that we can use it for prediction\n",
        "sonar_data.groupby(60).mean()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 207
        },
        "id": "cOgCytQYkret",
        "outputId": "0c057265-b47b-4baf-b98c-83038bd3ebbb"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-0b12b177-0ac0-4049-acd3-8f05922261b6\">\n",
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              "\n",
              "    .dataframe thead th {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>0</th>\n",
              "      <th>1</th>\n",
              "      <th>2</th>\n",
              "      <th>3</th>\n",
              "      <th>4</th>\n",
              "      <th>5</th>\n",
              "      <th>6</th>\n",
              "      <th>7</th>\n",
              "      <th>8</th>\n",
              "      <th>9</th>\n",
              "      <th>10</th>\n",
              "      <th>11</th>\n",
              "      <th>12</th>\n",
              "      <th>13</th>\n",
              "      <th>14</th>\n",
              "      <th>15</th>\n",
              "      <th>16</th>\n",
              "      <th>17</th>\n",
              "      <th>18</th>\n",
              "      <th>19</th>\n",
              "      <th>20</th>\n",
              "      <th>21</th>\n",
              "      <th>22</th>\n",
              "      <th>23</th>\n",
              "      <th>24</th>\n",
              "      <th>25</th>\n",
              "      <th>26</th>\n",
              "      <th>27</th>\n",
              "      <th>28</th>\n",
              "      <th>29</th>\n",
              "      <th>30</th>\n",
              "      <th>31</th>\n",
              "      <th>32</th>\n",
              "      <th>33</th>\n",
              "      <th>34</th>\n",
              "      <th>35</th>\n",
              "      <th>36</th>\n",
              "      <th>37</th>\n",
              "      <th>38</th>\n",
              "      <th>39</th>\n",
              "      <th>40</th>\n",
              "      <th>41</th>\n",
              "      <th>42</th>\n",
              "      <th>43</th>\n",
              "      <th>44</th>\n",
              "      <th>45</th>\n",
              "      <th>46</th>\n",
              "      <th>47</th>\n",
              "      <th>48</th>\n",
              "      <th>49</th>\n",
              "      <th>50</th>\n",
              "      <th>51</th>\n",
              "      <th>52</th>\n",
              "      <th>53</th>\n",
              "      <th>54</th>\n",
              "      <th>55</th>\n",
              "      <th>56</th>\n",
              "      <th>57</th>\n",
              "      <th>58</th>\n",
              "      <th>59</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>60</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>M</th>\n",
              "      <td>0.034989</td>\n",
              "      <td>0.045544</td>\n",
              "      <td>0.050720</td>\n",
              "      <td>0.064768</td>\n",
              "      <td>0.086715</td>\n",
              "      <td>0.111864</td>\n",
              "      <td>0.128359</td>\n",
              "      <td>0.149832</td>\n",
              "      <td>0.213492</td>\n",
              "      <td>0.251022</td>\n",
              "      <td>0.289581</td>\n",
              "      <td>0.301459</td>\n",
              "      <td>0.314426</td>\n",
              "      <td>0.320692</td>\n",
              "      <td>0.331182</td>\n",
              "      <td>0.380999</td>\n",
              "      <td>0.415007</td>\n",
              "      <td>0.455882</td>\n",
              "      <td>0.538062</td>\n",
              "      <td>0.617941</td>\n",
              "      <td>0.667426</td>\n",
              "      <td>0.672325</td>\n",
              "      <td>0.676701</td>\n",
              "      <td>0.689165</td>\n",
              "      <td>0.681204</td>\n",
              "      <td>0.706075</td>\n",
              "      <td>0.714754</td>\n",
              "      <td>0.712269</td>\n",
              "      <td>0.650283</td>\n",
              "      <td>0.581796</td>\n",
              "      <td>0.482378</td>\n",
              "      <td>0.428049</td>\n",
              "      <td>0.396577</td>\n",
              "      <td>0.36614</td>\n",
              "      <td>0.337553</td>\n",
              "      <td>0.318553</td>\n",
              "      <td>0.317034</td>\n",
              "      <td>0.331608</td>\n",
              "      <td>0.336365</td>\n",
              "      <td>0.305221</td>\n",
              "      <td>0.292594</td>\n",
              "      <td>0.300975</td>\n",
              "      <td>0.276883</td>\n",
              "      <td>0.248106</td>\n",
              "      <td>0.245225</td>\n",
              "      <td>0.198804</td>\n",
              "      <td>0.146917</td>\n",
              "      <td>0.110594</td>\n",
              "      <td>0.063708</td>\n",
              "      <td>0.022721</td>\n",
              "      <td>0.019352</td>\n",
              "      <td>0.016014</td>\n",
              "      <td>0.011643</td>\n",
              "      <td>0.012185</td>\n",
              "      <td>0.009923</td>\n",
              "      <td>0.008914</td>\n",
              "      <td>0.007825</td>\n",
              "      <td>0.009060</td>\n",
              "      <td>0.008695</td>\n",
              "      <td>0.006930</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>R</th>\n",
              "      <td>0.022498</td>\n",
              "      <td>0.030303</td>\n",
              "      <td>0.035951</td>\n",
              "      <td>0.041447</td>\n",
              "      <td>0.062028</td>\n",
              "      <td>0.096224</td>\n",
              "      <td>0.114180</td>\n",
              "      <td>0.117596</td>\n",
              "      <td>0.137392</td>\n",
              "      <td>0.159325</td>\n",
              "      <td>0.174713</td>\n",
              "      <td>0.191589</td>\n",
              "      <td>0.226249</td>\n",
              "      <td>0.268963</td>\n",
              "      <td>0.307636</td>\n",
              "      <td>0.375611</td>\n",
              "      <td>0.417100</td>\n",
              "      <td>0.448240</td>\n",
              "      <td>0.466762</td>\n",
              "      <td>0.500229</td>\n",
              "      <td>0.542270</td>\n",
              "      <td>0.569290</td>\n",
              "      <td>0.612959</td>\n",
              "      <td>0.653761</td>\n",
              "      <td>0.668809</td>\n",
              "      <td>0.692762</td>\n",
              "      <td>0.687737</td>\n",
              "      <td>0.673145</td>\n",
              "      <td>0.632680</td>\n",
              "      <td>0.579934</td>\n",
              "      <td>0.529762</td>\n",
              "      <td>0.451619</td>\n",
              "      <td>0.440841</td>\n",
              "      <td>0.44568</td>\n",
              "      <td>0.455530</td>\n",
              "      <td>0.460710</td>\n",
              "      <td>0.417330</td>\n",
              "      <td>0.348868</td>\n",
              "      <td>0.313709</td>\n",
              "      <td>0.318057</td>\n",
              "      <td>0.285428</td>\n",
              "      <td>0.252338</td>\n",
              "      <td>0.211822</td>\n",
              "      <td>0.175132</td>\n",
              "      <td>0.142312</td>\n",
              "      <td>0.116949</td>\n",
              "      <td>0.094458</td>\n",
              "      <td>0.069488</td>\n",
              "      <td>0.038449</td>\n",
              "      <td>0.017796</td>\n",
              "      <td>0.012311</td>\n",
              "      <td>0.010453</td>\n",
              "      <td>0.009640</td>\n",
              "      <td>0.009518</td>\n",
              "      <td>0.008567</td>\n",
              "      <td>0.007430</td>\n",
              "      <td>0.007814</td>\n",
              "      <td>0.006677</td>\n",
              "      <td>0.007078</td>\n",
              "      <td>0.006024</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0b12b177-0ac0-4049-acd3-8f05922261b6')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-0b12b177-0ac0-4049-acd3-8f05922261b6 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-0b12b177-0ac0-4049-acd3-8f05922261b6');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "          0         1         2   ...        57        58        59\n",
              "60                                ...                              \n",
              "M   0.034989  0.045544  0.050720  ...  0.009060  0.008695  0.006930\n",
              "R   0.022498  0.030303  0.035951  ...  0.006677  0.007078  0.006024\n",
              "\n",
              "[2 rows x 60 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# separte data and labels\n",
        "X = sonar_data.drop(columns=60, axis = 1)\n",
        "Y = sonar_data[60]\n"
      ],
      "metadata": {
        "id": "n9E0BzkwlKSv"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(X)\n",
        "print(Y)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hmRmtU8Yl86E",
        "outputId": "62b40dab-46fe-45df-c132-ff5957fea649"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "         0       1       2       3   ...      56      57      58      59\n",
            "0    0.0200  0.0371  0.0428  0.0207  ...  0.0180  0.0084  0.0090  0.0032\n",
            "1    0.0453  0.0523  0.0843  0.0689  ...  0.0140  0.0049  0.0052  0.0044\n",
            "2    0.0262  0.0582  0.1099  0.1083  ...  0.0316  0.0164  0.0095  0.0078\n",
            "3    0.0100  0.0171  0.0623  0.0205  ...  0.0050  0.0044  0.0040  0.0117\n",
            "4    0.0762  0.0666  0.0481  0.0394  ...  0.0072  0.0048  0.0107  0.0094\n",
            "..      ...     ...     ...     ...  ...     ...     ...     ...     ...\n",
            "203  0.0187  0.0346  0.0168  0.0177  ...  0.0065  0.0115  0.0193  0.0157\n",
            "204  0.0323  0.0101  0.0298  0.0564  ...  0.0034  0.0032  0.0062  0.0067\n",
            "205  0.0522  0.0437  0.0180  0.0292  ...  0.0140  0.0138  0.0077  0.0031\n",
            "206  0.0303  0.0353  0.0490  0.0608  ...  0.0034  0.0079  0.0036  0.0048\n",
            "207  0.0260  0.0363  0.0136  0.0272  ...  0.0040  0.0036  0.0061  0.0115\n",
            "\n",
            "[208 rows x 60 columns]\n",
            "0      R\n",
            "1      R\n",
            "2      R\n",
            "3      R\n",
            "4      R\n",
            "      ..\n",
            "203    M\n",
            "204    M\n",
            "205    M\n",
            "206    M\n",
            "207    M\n",
            "Name: 60, Length: 208, dtype: object\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# using this data for training and test data\n",
        "X_train, X_test, Y_train, Y_test = train_test_split(X,Y, test_size=0.1, stratify=Y,random_state=1)"
      ],
      "metadata": {
        "id": "C6-7limImAmG"
      },
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(X.shape,X_train.shape,X_test.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2wkbj_xkvKn7",
        "outputId": "9aeeb271-bbc7-45cb-9066-701c47468df5"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(208, 60) (187, 60) (21, 60)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(X_train)\n",
        "print(Y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UP5oA9yVvkjS",
        "outputId": "1ec67dd5-b9cf-464a-bb5a-9443a929120a"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "         0       1       2       3   ...      56      57      58      59\n",
            "115  0.0414  0.0436  0.0447  0.0844  ...  0.0141  0.0077  0.0246  0.0198\n",
            "38   0.0123  0.0022  0.0196  0.0206  ...  0.0113  0.0058  0.0047  0.0071\n",
            "56   0.0152  0.0102  0.0113  0.0263  ...  0.0037  0.0011  0.0034  0.0033\n",
            "123  0.0270  0.0163  0.0341  0.0247  ...  0.0138  0.0094  0.0105  0.0093\n",
            "18   0.0270  0.0092  0.0145  0.0278  ...  0.0120  0.0132  0.0070  0.0088\n",
            "..      ...     ...     ...     ...  ...     ...     ...     ...     ...\n",
            "140  0.0412  0.1135  0.0518  0.0232  ...  0.0095  0.0225  0.0098  0.0085\n",
            "5    0.0286  0.0453  0.0277  0.0174  ...  0.0057  0.0027  0.0051  0.0062\n",
            "154  0.0117  0.0069  0.0279  0.0583  ...  0.0020  0.0062  0.0026  0.0052\n",
            "131  0.1150  0.1163  0.0866  0.0358  ...  0.0190  0.0141  0.0068  0.0086\n",
            "203  0.0187  0.0346  0.0168  0.0177  ...  0.0065  0.0115  0.0193  0.0157\n",
            "\n",
            "[187 rows x 60 columns]\n",
            "115    M\n",
            "38     R\n",
            "56     R\n",
            "123    M\n",
            "18     R\n",
            "      ..\n",
            "140    M\n",
            "5      R\n",
            "154    M\n",
            "131    M\n",
            "203    M\n",
            "Name: 60, Length: 187, dtype: object\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Training model using logistic regression"
      ],
      "metadata": {
        "id": "lHWeuzHxvWN1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "model = LogisticRegression()"
      ],
      "metadata": {
        "id": "-9P2K9jFvQXj"
      },
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# training LR model with training data\n",
        "model.fit(X_train, Y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wrNCITxmvcV1",
        "outputId": "fe5f3037-61fa-4d51-cbcd-2be605afa5da"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LogisticRegression()"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# evaluatng model\n",
        "# finding accuracy on training data\n",
        "X_train_prediction = model.predict(X_train)\n",
        "training_data_accuracy = accuracy_score(X_train_prediction, Y_train)"
      ],
      "metadata": {
        "id": "YtSZcmNivvnQ"
      },
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print('Accuracy on training data: ', training_data_accuracy )"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "x5g1ATBlwdr7",
        "outputId": "cf6b44c8-8854-44f3-b7c7-5e9ecba969b9"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Accuracy on training data:  0.8342245989304813\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# finding accuracy on test data\n",
        "X_test_prediction = model.predict(X_test)\n",
        "test_data_accuracy = accuracy_score(X_test_prediction, Y_test)"
      ],
      "metadata": {
        "id": "eaE4FKxSwkXD"
      },
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print('Accuracy on test data: ',test_data_accuracy)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BA560WIywxlj",
        "outputId": "c15d9067-05e1-4ec8-f117-95032be759e8"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Accuracy on test data:  0.7619047619047619\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Making a predictive system"
      ],
      "metadata": {
        "id": "cCnKVoPOxAo6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "input_data = (0.0264,0.0071,0.0342,0.0793,0.1043,0.0783,0.1417,0.1176,0.0453,0.0945,0.1132,0.0840,0.0717,0.1968,0.2633,0.4191,0.5050,0.6711,0.7922,0.8381,0.8759,0.9422,1.0000,0.9931,0.9575,0.8647,0.7215,0.5801,0.4964,0.4886,0.4079,0.2443,0.1768,0.2472,0.3518,0.3762,0.2909,0.2311,0.3168,0.3554,0.3741,0.4443,0.3261,0.1963,0.0864,0.1688,0.1991,0.1217,0.0628,0.0323,0.0253,0.0214,0.0262,0.0177,0.0037,0.0068,0.0121,0.0077,0.0078,0.0066)\n",
        "# changing the input data to a numpy array\n",
        "input_data_as_numpy_array = np.array(input_data)  # converting list into a numpy array\n",
        "\n",
        "# reshaping the np array predicting for 1 instance\n",
        "input_data_reshaped = input_data_as_numpy_array.reshape(1,-1)\n",
        "\n",
        "prediction = model.predict(input_data_reshaped)\n",
        "print(prediction)\n",
        "if(prediction[0]=='R'):\n",
        "  print('The object is a ROCK!')\n",
        "else:\n",
        "  print('The object is a MINE!')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OiY-fPa_w3cH",
        "outputId": "9d1f3d93-608a-45c4-b3e1-66d9b8cd343c"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['M']\n",
            "The object is a MINE!\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "FZ0zbpikyOkf"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}