Rockvsmine_ipynbb.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyOnTyeVEv22MVXHXjFhTute",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Mathurshab2210/Data_sci_Python/blob/main/Rockvsmine_ipynbb.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "id": "3fVm9QgO8NXj"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.metrics import accuracy_score"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sonar_data=pd.read_csv('/content/Copy of sonar data.csv',header=None)"
      ],
      "metadata": {
        "id": "VWCvC0Czcgfd"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sonar_data.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "0MEhczPfdGpz",
        "outputId": "7d452bcf-dfd7-46fb-8226-c2c59024ba38"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       0       1       2       3       4       5       6       7       8   \\\n",
              "0  0.0200  0.0371  0.0428  0.0207  0.0954  0.0986  0.1539  0.1601  0.3109   \n",
              "1  0.0453  0.0523  0.0843  0.0689  0.1183  0.2583  0.2156  0.3481  0.3337   \n",
              "2  0.0262  0.0582  0.1099  0.1083  0.0974  0.2280  0.2431  0.3771  0.5598   \n",
              "3  0.0100  0.0171  0.0623  0.0205  0.0205  0.0368  0.1098  0.1276  0.0598   \n",
              "4  0.0762  0.0666  0.0481  0.0394  0.0590  0.0649  0.1209  0.2467  0.3564   \n",
              "\n",
              "       9   ...      51      52      53      54      55      56      57  \\\n",
              "0  0.2111  ...  0.0027  0.0065  0.0159  0.0072  0.0167  0.0180  0.0084   \n",
              "1  0.2872  ...  0.0084  0.0089  0.0048  0.0094  0.0191  0.0140  0.0049   \n",
              "2  0.6194  ...  0.0232  0.0166  0.0095  0.0180  0.0244  0.0316  0.0164   \n",
              "3  0.1264  ...  0.0121  0.0036  0.0150  0.0085  0.0073  0.0050  0.0044   \n",
              "4  0.4459  ...  0.0031  0.0054  0.0105  0.0110  0.0015  0.0072  0.0048   \n",
              "\n",
              "       58      59  60  \n",
              "0  0.0090  0.0032   R  \n",
              "1  0.0052  0.0044   R  \n",
              "2  0.0095  0.0078   R  \n",
              "3  0.0040  0.0117   R  \n",
              "4  0.0107  0.0094   R  \n",
              "\n",
              "[5 rows x 61 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-9df7c751-e8da-4f71-bd99-7c2d6962b392\">\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>...</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>...</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>...</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>...</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>...</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>...</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",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 61 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9df7c751-e8da-4f71-bd99-7c2d6962b392')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </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",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-9df7c751-e8da-4f71-bd99-7c2d6962b392 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-9df7c751-e8da-4f71-bd99-7c2d6962b392');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sonar_data.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "n3PUyoTygrh8",
        "outputId": "616143ad-3d10-4db7-c332-49c7cfef515b"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "               0           1           2           3           4           5   \\\n",
              "count  208.000000  208.000000  208.000000  208.000000  208.000000  208.000000   \n",
              "mean     0.029164    0.038437    0.043832    0.053892    0.075202    0.104570   \n",
              "std      0.022991    0.032960    0.038428    0.046528    0.055552    0.059105   \n",
              "min      0.001500    0.000600    0.001500    0.005800    0.006700    0.010200   \n",
              "25%      0.013350    0.016450    0.018950    0.024375    0.038050    0.067025   \n",
              "50%      0.022800    0.030800    0.034300    0.044050    0.062500    0.092150   \n",
              "75%      0.035550    0.047950    0.057950    0.064500    0.100275    0.134125   \n",
              "max      0.137100    0.233900    0.305900    0.426400    0.401000    0.382300   \n",
              "\n",
              "               6           7           8           9   ...          50  \\\n",
              "count  208.000000  208.000000  208.000000  208.000000  ...  208.000000   \n",
              "mean     0.121747    0.134799    0.178003    0.208259  ...    0.016069   \n",
              "std      0.061788    0.085152    0.118387    0.134416  ...    0.012008   \n",
              "min      0.003300    0.005500    0.007500    0.011300  ...    0.000000   \n",
              "25%      0.080900    0.080425    0.097025    0.111275  ...    0.008425   \n",
              "50%      0.106950    0.112100    0.152250    0.182400  ...    0.013900   \n",
              "75%      0.154000    0.169600    0.233425    0.268700  ...    0.020825   \n",
              "max      0.372900    0.459000    0.682800    0.710600  ...    0.100400   \n",
              "\n",
              "               51          52          53          54          55          56  \\\n",
              "count  208.000000  208.000000  208.000000  208.000000  208.000000  208.000000   \n",
              "mean     0.013420    0.010709    0.010941    0.009290    0.008222    0.007820   \n",
              "std      0.009634    0.007060    0.007301    0.007088    0.005736    0.005785   \n",
              "min      0.000800    0.000500    0.001000    0.000600    0.000400    0.000300   \n",
              "25%      0.007275    0.005075    0.005375    0.004150    0.004400    0.003700   \n",
              "50%      0.011400    0.009550    0.009300    0.007500    0.006850    0.005950   \n",
              "75%      0.016725    0.014900    0.014500    0.012100    0.010575    0.010425   \n",
              "max      0.070900    0.039000    0.035200    0.044700    0.039400    0.035500   \n",
              "\n",
              "               57          58          59  \n",
              "count  208.000000  208.000000  208.000000  \n",
              "mean     0.007949    0.007941    0.006507  \n",
              "std      0.006470    0.006181    0.005031  \n",
              "min      0.000300    0.000100    0.000600  \n",
              "25%      0.003600    0.003675    0.003100  \n",
              "50%      0.005800    0.006400    0.005300  \n",
              "75%      0.010350    0.010325    0.008525  \n",
              "max      0.044000    0.036400    0.043900  \n",
              "\n",
              "[8 rows x 60 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-d818ee5f-e089-488c-8fb7-be2347315d39\">\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>...</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>...</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>...</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>...</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>...</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>...</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>...</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>...</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>...</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",
              "<p>8 rows × 60 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d818ee5f-e089-488c-8fb7-be2347315d39')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </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",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-d818ee5f-e089-488c-8fb7-be2347315d39 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-d818ee5f-e089-488c-8fb7-be2347315d39');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sonar_data[60].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LROhvVzAhEPU",
        "outputId": "e9b1504b-bcef-421f-db46-138762f1aac5"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "M    111\n",
              "R     97\n",
              "Name: 60, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sonar_data.groupby(60).mean()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 237
        },
        "id": "wiPzeq1chRj6",
        "outputId": "60e5d0f3-e25e-424f-be2e-28aa17c9fefa"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          0         1         2         3         4         5         6   \\\n",
              "60                                                                         \n",
              "M   0.034989  0.045544  0.050720  0.064768  0.086715  0.111864  0.128359   \n",
              "R   0.022498  0.030303  0.035951  0.041447  0.062028  0.096224  0.114180   \n",
              "\n",
              "          7         8         9   ...        50        51        52        53  \\\n",
              "60                                ...                                           \n",
              "M   0.149832  0.213492  0.251022  ...  0.019352  0.016014  0.011643  0.012185   \n",
              "R   0.117596  0.137392  0.159325  ...  0.012311  0.010453  0.009640  0.009518   \n",
              "\n",
              "          54        55        56        57        58        59  \n",
              "60                                                              \n",
              "M   0.009923  0.008914  0.007825  0.009060  0.008695  0.006930  \n",
              "R   0.008567  0.007430  0.007814  0.006677  0.007078  0.006024  \n",
              "\n",
              "[2 rows x 60 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-94790205-51e6-4156-bfe0-edfcfae35eb0\">\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>...</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",
              "    </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>...</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>...</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",
              "<p>2 rows × 60 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-94790205-51e6-4156-bfe0-edfcfae35eb0')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </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",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-94790205-51e6-4156-bfe0-edfcfae35eb0 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-94790205-51e6-4156-bfe0-edfcfae35eb0');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x=sonar_data.drop(columns=60,axis=1)"
      ],
      "metadata": {
        "id": "33Q6h1Ojhi1Z"
      },
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "y=sonar_data[60]"
      ],
      "metadata": {
        "id": "9irFJ0uVhr0U"
      },
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x_train,x_test,y_train,y_test=train_test_split(x,y,test_size=0.12,stratify=y,random_state=1)#stratify to equally distribute data"
      ],
      "metadata": {
        "id": "p3OzOdQRhwMc"
      },
      "execution_count": 32,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x_train"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 488
        },
        "id": "u8iPtqL2iWzl",
        "outputId": "29c2935f-2ece-4511-dc6b-b42c7a84306c"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         0       1       2       3       4       5       6       7       8   \\\n",
              "6    0.0317  0.0956  0.1321  0.1408  0.1674  0.1710  0.0731  0.1401  0.2083   \n",
              "183  0.0096  0.0404  0.0682  0.0688  0.0887  0.0932  0.0955  0.2140  0.2546   \n",
              "125  0.0228  0.0853  0.1000  0.0428  0.1117  0.1651  0.1597  0.2116  0.3295   \n",
              "42   0.0211  0.0319  0.0415  0.0286  0.0121  0.0438  0.1299  0.1390  0.0695   \n",
              "67   0.0368  0.0403  0.0317  0.0293  0.0820  0.1342  0.1161  0.0663  0.0155   \n",
              "..      ...     ...     ...     ...     ...     ...     ...     ...     ...   \n",
              "140  0.0412  0.1135  0.0518  0.0232  0.0646  0.1124  0.1787  0.2407  0.2682   \n",
              "70   0.0065  0.0122  0.0068  0.0108  0.0217  0.0284  0.0527  0.0575  0.1054   \n",
              "154  0.0117  0.0069  0.0279  0.0583  0.0915  0.1267  0.1577  0.1927  0.2361   \n",
              "131  0.1150  0.1163  0.0866  0.0358  0.0232  0.1267  0.2417  0.2661  0.4346   \n",
              "203  0.0187  0.0346  0.0168  0.0177  0.0393  0.1630  0.2028  0.1694  0.2328   \n",
              "\n",
              "         9   ...      50      51      52      53      54      55      56  \\\n",
              "6    0.3513  ...  0.0195  0.0201  0.0248  0.0131  0.0070  0.0138  0.0092   \n",
              "183  0.2952  ...  0.0310  0.0237  0.0078  0.0144  0.0170  0.0012  0.0109   \n",
              "125  0.3517  ...  0.0159  0.0172  0.0191  0.0260  0.0140  0.0125  0.0116   \n",
              "42   0.0568  ...  0.0053  0.0090  0.0042  0.0153  0.0106  0.0020  0.0105   \n",
              "67   0.0506  ...  0.0058  0.0091  0.0160  0.0160  0.0081  0.0070  0.0135   \n",
              "..      ...  ...     ...     ...     ...     ...     ...     ...     ...   \n",
              "140  0.2058  ...  0.0798  0.0376  0.0143  0.0272  0.0127  0.0166  0.0095   \n",
              "70   0.1109  ...  0.0023  0.0069  0.0025  0.0027  0.0052  0.0036  0.0026   \n",
              "154  0.2169  ...  0.0039  0.0053  0.0029  0.0020  0.0013  0.0029  0.0020   \n",
              "131  0.5378  ...  0.0228  0.0099  0.0065  0.0085  0.0166  0.0110  0.0190   \n",
              "203  0.2684  ...  0.0203  0.0116  0.0098  0.0199  0.0033  0.0101  0.0065   \n",
              "\n",
              "         57      58      59  \n",
              "6    0.0143  0.0036  0.0103  \n",
              "183  0.0036  0.0043  0.0018  \n",
              "125  0.0093  0.0012  0.0036  \n",
              "42   0.0049  0.0070  0.0080  \n",
              "67   0.0067  0.0078  0.0068  \n",
              "..      ...     ...     ...  \n",
              "140  0.0225  0.0098  0.0085  \n",
              "70   0.0036  0.0006  0.0035  \n",
              "154  0.0062  0.0026  0.0052  \n",
              "131  0.0141  0.0068  0.0086  \n",
              "203  0.0115  0.0193  0.0157  \n",
              "\n",
              "[176 rows x 60 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-2bb8e1f1-2fec-48e6-91b8-eb1252941cd1\">\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>...</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>6</th>\n",
              "      <td>0.0317</td>\n",
              "      <td>0.0956</td>\n",
              "      <td>0.1321</td>\n",
              "      <td>0.1408</td>\n",
              "      <td>0.1674</td>\n",
              "      <td>0.1710</td>\n",
              "      <td>0.0731</td>\n",
              "      <td>0.1401</td>\n",
              "      <td>0.2083</td>\n",
              "      <td>0.3513</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0195</td>\n",
              "      <td>0.0201</td>\n",
              "      <td>0.0248</td>\n",
              "      <td>0.0131</td>\n",
              "      <td>0.0070</td>\n",
              "      <td>0.0138</td>\n",
              "      <td>0.0092</td>\n",
              "      <td>0.0143</td>\n",
              "      <td>0.0036</td>\n",
              "      <td>0.0103</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>183</th>\n",
              "      <td>0.0096</td>\n",
              "      <td>0.0404</td>\n",
              "      <td>0.0682</td>\n",
              "      <td>0.0688</td>\n",
              "      <td>0.0887</td>\n",
              "      <td>0.0932</td>\n",
              "      <td>0.0955</td>\n",
              "      <td>0.2140</td>\n",
              "      <td>0.2546</td>\n",
              "      <td>0.2952</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0310</td>\n",
              "      <td>0.0237</td>\n",
              "      <td>0.0078</td>\n",
              "      <td>0.0144</td>\n",
              "      <td>0.0170</td>\n",
              "      <td>0.0012</td>\n",
              "      <td>0.0109</td>\n",
              "      <td>0.0036</td>\n",
              "      <td>0.0043</td>\n",
              "      <td>0.0018</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125</th>\n",
              "      <td>0.0228</td>\n",
              "      <td>0.0853</td>\n",
              "      <td>0.1000</td>\n",
              "      <td>0.0428</td>\n",
              "      <td>0.1117</td>\n",
              "      <td>0.1651</td>\n",
              "      <td>0.1597</td>\n",
              "      <td>0.2116</td>\n",
              "      <td>0.3295</td>\n",
              "      <td>0.3517</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0159</td>\n",
              "      <td>0.0172</td>\n",
              "      <td>0.0191</td>\n",
              "      <td>0.0260</td>\n",
              "      <td>0.0140</td>\n",
              "      <td>0.0125</td>\n",
              "      <td>0.0116</td>\n",
              "      <td>0.0093</td>\n",
              "      <td>0.0012</td>\n",
              "      <td>0.0036</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>0.0211</td>\n",
              "      <td>0.0319</td>\n",
              "      <td>0.0415</td>\n",
              "      <td>0.0286</td>\n",
              "      <td>0.0121</td>\n",
              "      <td>0.0438</td>\n",
              "      <td>0.1299</td>\n",
              "      <td>0.1390</td>\n",
              "      <td>0.0695</td>\n",
              "      <td>0.0568</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0053</td>\n",
              "      <td>0.0090</td>\n",
              "      <td>0.0042</td>\n",
              "      <td>0.0153</td>\n",
              "      <td>0.0106</td>\n",
              "      <td>0.0020</td>\n",
              "      <td>0.0105</td>\n",
              "      <td>0.0049</td>\n",
              "      <td>0.0070</td>\n",
              "      <td>0.0080</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>67</th>\n",
              "      <td>0.0368</td>\n",
              "      <td>0.0403</td>\n",
              "      <td>0.0317</td>\n",
              "      <td>0.0293</td>\n",
              "      <td>0.0820</td>\n",
              "      <td>0.1342</td>\n",
              "      <td>0.1161</td>\n",
              "      <td>0.0663</td>\n",
              "      <td>0.0155</td>\n",
              "      <td>0.0506</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0058</td>\n",
              "      <td>0.0091</td>\n",
              "      <td>0.0160</td>\n",
              "      <td>0.0160</td>\n",
              "      <td>0.0081</td>\n",
              "      <td>0.0070</td>\n",
              "      <td>0.0135</td>\n",
              "      <td>0.0067</td>\n",
              "      <td>0.0078</td>\n",
              "      <td>0.0068</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>140</th>\n",
              "      <td>0.0412</td>\n",
              "      <td>0.1135</td>\n",
              "      <td>0.0518</td>\n",
              "      <td>0.0232</td>\n",
              "      <td>0.0646</td>\n",
              "      <td>0.1124</td>\n",
              "      <td>0.1787</td>\n",
              "      <td>0.2407</td>\n",
              "      <td>0.2682</td>\n",
              "      <td>0.2058</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0798</td>\n",
              "      <td>0.0376</td>\n",
              "      <td>0.0143</td>\n",
              "      <td>0.0272</td>\n",
              "      <td>0.0127</td>\n",
              "      <td>0.0166</td>\n",
              "      <td>0.0095</td>\n",
              "      <td>0.0225</td>\n",
              "      <td>0.0098</td>\n",
              "      <td>0.0085</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>70</th>\n",
              "      <td>0.0065</td>\n",
              "      <td>0.0122</td>\n",
              "      <td>0.0068</td>\n",
              "      <td>0.0108</td>\n",
              "      <td>0.0217</td>\n",
              "      <td>0.0284</td>\n",
              "      <td>0.0527</td>\n",
              "      <td>0.0575</td>\n",
              "      <td>0.1054</td>\n",
              "      <td>0.1109</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0023</td>\n",
              "      <td>0.0069</td>\n",
              "      <td>0.0025</td>\n",
              "      <td>0.0027</td>\n",
              "      <td>0.0052</td>\n",
              "      <td>0.0036</td>\n",
              "      <td>0.0026</td>\n",
              "      <td>0.0036</td>\n",
              "      <td>0.0006</td>\n",
              "      <td>0.0035</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>154</th>\n",
              "      <td>0.0117</td>\n",
              "      <td>0.0069</td>\n",
              "      <td>0.0279</td>\n",
              "      <td>0.0583</td>\n",
              "      <td>0.0915</td>\n",
              "      <td>0.1267</td>\n",
              "      <td>0.1577</td>\n",
              "      <td>0.1927</td>\n",
              "      <td>0.2361</td>\n",
              "      <td>0.2169</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0039</td>\n",
              "      <td>0.0053</td>\n",
              "      <td>0.0029</td>\n",
              "      <td>0.0020</td>\n",
              "      <td>0.0013</td>\n",
              "      <td>0.0029</td>\n",
              "      <td>0.0020</td>\n",
              "      <td>0.0062</td>\n",
              "      <td>0.0026</td>\n",
              "      <td>0.0052</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>131</th>\n",
              "      <td>0.1150</td>\n",
              "      <td>0.1163</td>\n",
              "      <td>0.0866</td>\n",
              "      <td>0.0358</td>\n",
              "      <td>0.0232</td>\n",
              "      <td>0.1267</td>\n",
              "      <td>0.2417</td>\n",
              "      <td>0.2661</td>\n",
              "      <td>0.4346</td>\n",
              "      <td>0.5378</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0228</td>\n",
              "      <td>0.0099</td>\n",
              "      <td>0.0065</td>\n",
              "      <td>0.0085</td>\n",
              "      <td>0.0166</td>\n",
              "      <td>0.0110</td>\n",
              "      <td>0.0190</td>\n",
              "      <td>0.0141</td>\n",
              "      <td>0.0068</td>\n",
              "      <td>0.0086</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>203</th>\n",
              "      <td>0.0187</td>\n",
              "      <td>0.0346</td>\n",
              "      <td>0.0168</td>\n",
              "      <td>0.0177</td>\n",
              "      <td>0.0393</td>\n",
              "      <td>0.1630</td>\n",
              "      <td>0.2028</td>\n",
              "      <td>0.1694</td>\n",
              "      <td>0.2328</td>\n",
              "      <td>0.2684</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0203</td>\n",
              "      <td>0.0116</td>\n",
              "      <td>0.0098</td>\n",
              "      <td>0.0199</td>\n",
              "      <td>0.0033</td>\n",
              "      <td>0.0101</td>\n",
              "      <td>0.0065</td>\n",
              "      <td>0.0115</td>\n",
              "      <td>0.0193</td>\n",
              "      <td>0.0157</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>176 rows × 60 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2bb8e1f1-2fec-48e6-91b8-eb1252941cd1')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </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",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-2bb8e1f1-2fec-48e6-91b8-eb1252941cd1 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-2bb8e1f1-2fec-48e6-91b8-eb1252941cd1');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x_train.shape\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3HKdg1dHiclf",
        "outputId": "26efa646-e91d-47a9-e86b-4fa14bda2494"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(183, 60)"
            ]
          },
          "metadata": {},
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x_test.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "v7EHYM5_ig2g",
        "outputId": "1fdf8179-d790-4c3f-b843-28bd14fff4aa"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(25, 60)"
            ]
          },
          "metadata": {},
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model=LogisticRegression()"
      ],
      "metadata": {
        "id": "19Isul5aijUV"
      },
      "execution_count": 36,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model.fit(x_train,y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "70m2G-VXsbSD",
        "outputId": "f7c92350-0a9e-4a2b-9ac2-88c7affee2f2"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LogisticRegression()"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KszOvPaOstA7",
        "outputId": "87c9f25f-b745-4ba4-96a0-745216797e46"
      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LogisticRegression()"
            ]
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x_perd=model.predict(x_train)"
      ],
      "metadata": {
        "id": "8ITlewcVsvva"
      },
      "execution_count": 39,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "tr_acc=accuracy_score(x_perd,y_train)"
      ],
      "metadata": {
        "id": "1IetXJBDtTKk"
      },
      "execution_count": 43,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print('acc on train data', tr_acc*100)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JM_KzcpCtbIg",
        "outputId": "398e1533-5643-4082-dbcd-4ac0a1e50b27"
      },
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "acc on train data 83.06010928961749\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x_test_pred=model.predict(x_test)\n",
        "tst_acc=accuracy_score(x_test_pred,y_test)"
      ],
      "metadata": {
        "id": "IKgnPdyhtu_K"
      },
      "execution_count": 46,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print('testing score:',tst_acc)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ertZsRB8uCxb",
        "outputId": "cc73524f-8f25-4af9-e567-e29ec20e5197"
      },
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "testing score: 0.72\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "input_data = (0.0307,0.0523,0.0653,0.0521,0.0611,0.0577,0.0665,0.0664,0.1460,0.2792,0.3877,0.4992,0.4981,0.4972,0.5607,0.7339,0.8230,0.9173,0.9975,0.9911,0.8240,0.6498,0.5980,0.4862,0.3150,0.1543,0.0989,0.0284,0.1008,0.2636,0.2694,0.2930,0.2925,0.3998,0.3660,0.3172,0.4609,0.4374,0.1820,0.3376,0.6202,0.4448,0.1863,0.1420,0.0589,0.0576,0.0672,0.0269,0.0245,0.0190,0.0063,0.0321,0.0189,0.0137,0.0277,0.0152,0.0052,0.0121,0.0124,0.0055)\n",
        "\n",
        "# changing the input_data to a numpy array\n",
        "input_data_as_numpy_array = np.asarray(input_data)\n",
        "\n",
        "# reshape the np array as we are predicting for one 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",
        "\n",
        "if (prediction[0]=='R'):\n",
        "  print('The object is a Rock')\n",
        "else:\n",
        "  print('The object is a mine')\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CNmdNsZYuLYJ",
        "outputId": "dde0f2e8-931b-453f-9e68-a9a69a1220c5"
      },
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['M']\n",
            "The object is a mine\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "MPVTLtsIwV2v"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}