Feature_selection.ipynb

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      "name": "Feature_selection.ipynb",
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    {
      "cell_type": "markdown",
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        "id": "view-in-github",
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      "source": [
        "<a href=\"https://colab.research.google.com/github/Chandradithya8/Feature_Selection/blob/main/Feature_selection.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 218
        }
      },
      "source": [
        "import pandas as pd\n",
        "df=pd.read_csv(\"/content/mobile_dataset.csv.txt\")\n",
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<div>\n",
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              "        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>battery_power</th>\n",
              "      <th>blue</th>\n",
              "      <th>clock_speed</th>\n",
              "      <th>dual_sim</th>\n",
              "      <th>fc</th>\n",
              "      <th>four_g</th>\n",
              "      <th>int_memory</th>\n",
              "      <th>m_dep</th>\n",
              "      <th>mobile_wt</th>\n",
              "      <th>n_cores</th>\n",
              "      <th>pc</th>\n",
              "      <th>px_height</th>\n",
              "      <th>px_width</th>\n",
              "      <th>ram</th>\n",
              "      <th>sc_h</th>\n",
              "      <th>sc_w</th>\n",
              "      <th>talk_time</th>\n",
              "      <th>three_g</th>\n",
              "      <th>touch_screen</th>\n",
              "      <th>wifi</th>\n",
              "      <th>price_range</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>842</td>\n",
              "      <td>0</td>\n",
              "      <td>2.2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>7</td>\n",
              "      <td>0.6</td>\n",
              "      <td>188</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>20</td>\n",
              "      <td>756</td>\n",
              "      <td>2549</td>\n",
              "      <td>9</td>\n",
              "      <td>7</td>\n",
              "      <td>19</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1021</td>\n",
              "      <td>1</td>\n",
              "      <td>0.5</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>53</td>\n",
              "      <td>0.7</td>\n",
              "      <td>136</td>\n",
              "      <td>3</td>\n",
              "      <td>6</td>\n",
              "      <td>905</td>\n",
              "      <td>1988</td>\n",
              "      <td>2631</td>\n",
              "      <td>17</td>\n",
              "      <td>3</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>563</td>\n",
              "      <td>1</td>\n",
              "      <td>0.5</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>41</td>\n",
              "      <td>0.9</td>\n",
              "      <td>145</td>\n",
              "      <td>5</td>\n",
              "      <td>6</td>\n",
              "      <td>1263</td>\n",
              "      <td>1716</td>\n",
              "      <td>2603</td>\n",
              "      <td>11</td>\n",
              "      <td>2</td>\n",
              "      <td>9</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>615</td>\n",
              "      <td>1</td>\n",
              "      <td>2.5</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>10</td>\n",
              "      <td>0.8</td>\n",
              "      <td>131</td>\n",
              "      <td>6</td>\n",
              "      <td>9</td>\n",
              "      <td>1216</td>\n",
              "      <td>1786</td>\n",
              "      <td>2769</td>\n",
              "      <td>16</td>\n",
              "      <td>8</td>\n",
              "      <td>11</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1821</td>\n",
              "      <td>1</td>\n",
              "      <td>1.2</td>\n",
              "      <td>0</td>\n",
              "      <td>13</td>\n",
              "      <td>1</td>\n",
              "      <td>44</td>\n",
              "      <td>0.6</td>\n",
              "      <td>141</td>\n",
              "      <td>2</td>\n",
              "      <td>14</td>\n",
              "      <td>1208</td>\n",
              "      <td>1212</td>\n",
              "      <td>1411</td>\n",
              "      <td>8</td>\n",
              "      <td>2</td>\n",
              "      <td>15</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   battery_power  blue  clock_speed  ...  touch_screen  wifi  price_range\n",
              "0            842     0          2.2  ...             0     1            1\n",
              "1           1021     1          0.5  ...             1     0            2\n",
              "2            563     1          0.5  ...             1     0            2\n",
              "3            615     1          2.5  ...             0     0            2\n",
              "4           1821     1          1.2  ...             1     0            1\n",
              "\n",
              "[5 rows x 21 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 1
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PfwEzniI6d8f"
      },
      "source": [
        "### Univariate selection\n",
        "x=df.iloc[:,:-1]\n",
        "y=df['price_range']"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XdJ7JgwvcgJR"
      },
      "source": [
        "from sklearn.feature_selection import SelectKBest\n",
        "from sklearn.feature_selection import chi2"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mWYAkeJ9dc0j",
        "outputId": "feb7c298-5414-476d-9932-190ba421e5fa",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "df.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2000, 21)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pMV6t3oPdCUw",
        "outputId": "ecaf39ee-2cfd-4119-fa0b-acb8067283e0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "## apply SelectKBest algorithm\n",
        "a=SelectKBest(score_func=chi2,k=20)\n",
        "a"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "SelectKBest(k=20, score_func=<function chi2 at 0x7fdc66ad96a8>)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PH5of1RefYQ8",
        "outputId": "2272635f-3ef7-44cc-dc5f-0a63ddd3a066",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 108
        }
      },
      "source": [
        "a.scores_"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1.41298666e+04, 7.23232323e-01, 6.48365906e-01, 6.31010795e-01,\n",
              "       1.01351665e+01, 1.52157239e+00, 8.98391244e+01, 7.45819631e-01,\n",
              "       9.59728626e+01, 9.09755558e+00, 9.18605355e+00, 1.73635695e+04,\n",
              "       9.81058675e+03, 9.31267519e+05, 9.61487832e+00, 1.64803191e+01,\n",
              "       1.32364000e+01, 3.27642810e-01, 1.92842942e+00, 4.22090730e-01])"
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          "metadata": {
            "tags": []
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          "execution_count": 6
        }
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    {
      "cell_type": "code",
      "metadata": {
        "id": "DKua0PVGfqkf",
        "outputId": "f1299a69-c8c8-48a8-8dfb-ee4bc9b5d673",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 648
        }
      },
      "source": [
        "df_score=pd.DataFrame(a.scores_,columns=['Score'])\n",
        "df_score"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th></th>\n",
              "      <th>Score</th>\n",
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              "      <td>14129.866576</td>\n",
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              "      <th>1</th>\n",
              "      <td>0.723232</td>\n",
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              "      <th>2</th>\n",
              "      <td>0.648366</td>\n",
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              "      <td>0.631011</td>\n",
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              "      <th>4</th>\n",
              "      <td>10.135166</td>\n",
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              "      <th>5</th>\n",
              "      <td>1.521572</td>\n",
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              "      <th>6</th>\n",
              "      <td>89.839124</td>\n",
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              "      <th>7</th>\n",
              "      <td>0.745820</td>\n",
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              "      <th>8</th>\n",
              "      <td>95.972863</td>\n",
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              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>9.097556</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>9.186054</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>17363.569536</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>9810.586750</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>931267.519053</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>9.614878</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>16.480319</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>13.236400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>0.327643</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>1.928429</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>0.422091</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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            ],
            "text/plain": [
              "            Score\n",
              "0    14129.866576\n",
              "1        0.723232\n",
              "2        0.648366\n",
              "3        0.631011\n",
              "4       10.135166\n",
              "5        1.521572\n",
              "6       89.839124\n",
              "7        0.745820\n",
              "8       95.972863\n",
              "9        9.097556\n",
              "10       9.186054\n",
              "11   17363.569536\n",
              "12    9810.586750\n",
              "13  931267.519053\n",
              "14       9.614878\n",
              "15      16.480319\n",
              "16      13.236400\n",
              "17       0.327643\n",
              "18       1.928429\n",
              "19       0.422091"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3oVVdQS3gn6w",
        "outputId": "c3793c39-cfc3-4205-899d-33869b7cae94",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 648
        }
      },
      "source": [
        "df_features=pd.DataFrame(x.columns)\n",
        "df_features"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "  <thead>\n",
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              "      <th></th>\n",
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              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>battery_power</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>blue</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>clock_speed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>dual_sim</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>fc</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>four_g</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>int_memory</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>m_dep</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>mobile_wt</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>n_cores</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>pc</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>px_height</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>px_width</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>ram</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>sc_h</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>sc_w</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>talk_time</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>three_g</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>touch_screen</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>wifi</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                0\n",
              "0   battery_power\n",
              "1            blue\n",
              "2     clock_speed\n",
              "3        dual_sim\n",
              "4              fc\n",
              "5          four_g\n",
              "6      int_memory\n",
              "7           m_dep\n",
              "8       mobile_wt\n",
              "9         n_cores\n",
              "10             pc\n",
              "11      px_height\n",
              "12       px_width\n",
              "13            ram\n",
              "14           sc_h\n",
              "15           sc_w\n",
              "16      talk_time\n",
              "17        three_g\n",
              "18   touch_screen\n",
              "19           wifi"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 648
        }
      },
      "source": [
        "concat=pd.concat([df_features,df_score],axis=1)\n",
        "concat.columns=['Features','Score']\n",
        "concat ## the larger the score the larger is the feature importance"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "    }\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>Features</th>\n",
              "      <th>Score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>battery_power</td>\n",
              "      <td>14129.866576</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>blue</td>\n",
              "      <td>0.723232</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>clock_speed</td>\n",
              "      <td>0.648366</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>dual_sim</td>\n",
              "      <td>0.631011</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>fc</td>\n",
              "      <td>10.135166</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>four_g</td>\n",
              "      <td>1.521572</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>int_memory</td>\n",
              "      <td>89.839124</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>m_dep</td>\n",
              "      <td>0.745820</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>mobile_wt</td>\n",
              "      <td>95.972863</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>n_cores</td>\n",
              "      <td>9.097556</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>pc</td>\n",
              "      <td>9.186054</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>px_height</td>\n",
              "      <td>17363.569536</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>px_width</td>\n",
              "      <td>9810.586750</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>ram</td>\n",
              "      <td>931267.519053</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>sc_h</td>\n",
              "      <td>9.614878</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>sc_w</td>\n",
              "      <td>16.480319</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>talk_time</td>\n",
              "      <td>13.236400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>three_g</td>\n",
              "      <td>0.327643</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>touch_screen</td>\n",
              "      <td>1.928429</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>wifi</td>\n",
              "      <td>0.422091</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         Features          Score\n",
              "0   battery_power   14129.866576\n",
              "1            blue       0.723232\n",
              "2     clock_speed       0.648366\n",
              "3        dual_sim       0.631011\n",
              "4              fc      10.135166\n",
              "5          four_g       1.521572\n",
              "6      int_memory      89.839124\n",
              "7           m_dep       0.745820\n",
              "8       mobile_wt      95.972863\n",
              "9         n_cores       9.097556\n",
              "10             pc       9.186054\n",
              "11      px_height   17363.569536\n",
              "12       px_width    9810.586750\n",
              "13            ram  931267.519053\n",
              "14           sc_h       9.614878\n",
              "15           sc_w      16.480319\n",
              "16      talk_time      13.236400\n",
              "17        three_g       0.327643\n",
              "18   touch_screen       1.928429\n",
              "19           wifi       0.422091"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "disa3CN9idcU",
        "outputId": "e77c6c29-4846-412e-e38d-e9096b2496b6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 348
        }
      },
      "source": [
        "concat.nlargest(10,'Score')  ## these are the features required"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Features</th>\n",
              "      <th>Score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>ram</td>\n",
              "      <td>931267.519053</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>px_height</td>\n",
              "      <td>17363.569536</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>battery_power</td>\n",
              "      <td>14129.866576</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>px_width</td>\n",
              "      <td>9810.586750</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>mobile_wt</td>\n",
              "      <td>95.972863</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>int_memory</td>\n",
              "      <td>89.839124</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>sc_w</td>\n",
              "      <td>16.480319</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>talk_time</td>\n",
              "      <td>13.236400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>fc</td>\n",
              "      <td>10.135166</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>sc_h</td>\n",
              "      <td>9.614878</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         Features          Score\n",
              "13            ram  931267.519053\n",
              "11      px_height   17363.569536\n",
              "0   battery_power   14129.866576\n",
              "12       px_width    9810.586750\n",
              "8       mobile_wt      95.972863\n",
              "6      int_memory      89.839124\n",
              "15           sc_w      16.480319\n",
              "16      talk_time      13.236400\n",
              "4              fc      10.135166\n",
              "14           sc_h       9.614878"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rVIuTe0Aivtb"
      },
      "source": [
        "### Feature importance - this technique gives us a score for each feature of our data. higher the score more importance it is."
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DO2k9zVojwJO",
        "outputId": "dfd3cf02-4a62-4ebb-8664-3fdb59a04ec3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 163
        }
      },
      "source": [
        "from sklearn.ensemble import ExtraTreesClassifier\n",
        "import matplotlib.pyplot as plt\n",
        "model=ExtraTreesClassifier()\n",
        "model"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,\n",
              "                     criterion='gini', max_depth=None, max_features='auto',\n",
              "                     max_leaf_nodes=None, max_samples=None,\n",
              "                     min_impurity_decrease=0.0, min_impurity_split=None,\n",
              "                     min_samples_leaf=1, min_samples_split=2,\n",
              "                     min_weight_fraction_leaf=0.0, n_estimators=100,\n",
              "                     n_jobs=None, oob_score=False, random_state=None, verbose=0,\n",
              "                     warm_start=False)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 57
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IO_VdBWaXCMV",
        "outputId": "1987a087-2f35-493b-8c83-511359c72dc2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 90
        }
      },
      "source": [
        "model.feature_importances_"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0.05994207, 0.01944143, 0.03380081, 0.01964709, 0.0317173 ,\n",
              "       0.01754057, 0.03520348, 0.03380291, 0.03599244, 0.03346059,\n",
              "       0.03333841, 0.04600091, 0.04881281, 0.39350832, 0.03534967,\n",
              "       0.03458953, 0.03487111, 0.01367858, 0.01863297, 0.02066897])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "M8gmH9AvXzT7",
        "outputId": "80b7917d-7b2a-462d-87a1-9fbb48fc286e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 345
        }
      },
      "source": [
        "ranked_features=pd.Series(model.feature_importances_,index=x.columns)\n",
        "ranked_features.nlargest(10).plot(kind='bar')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fdc586d65f8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HmNMRK-masJ8",
        "outputId": "21a8b5a8-4de4-4792-f5ec-332db81fd4b3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "## Correlation\n",
        "import seaborn as sns\n",
        "plt.figure(figsize=(20,20))\n",
        "sns.heatmap(df.iloc[:,:-1].corr(),annot=True)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fdc42cd0978>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 45
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x1440 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kvKYHveEdkOv"
      },
      "source": [
        "threshold=0.5"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KOoroBK8eXXZ"
      },
      "source": [
        "# find and remove correlated features\n",
        "def correlation(dataset, threshold):\n",
        "    col_corr = set()  # Set of all the names of correlated columns\n",
        "    corr_matrix = dataset.corr()\n",
        "    for i in range(len(corr_matrix.columns)):\n",
        "        for j in range(i):\n",
        "            if abs(corr_matrix.iloc[i, j]) > threshold: # we are interested in absolute coeff value\n",
        "                colname = corr_matrix.columns[i]  # getting the name of column\n",
        "                col_corr.add(colname)\n",
        "    return col_corr"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vc7tS8NIeclZ",
        "outputId": "9ab1812a-5c4d-4049-e9e3-8b190c93df8f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "correlation(df.iloc[:,:-1],threshold) # these features are highly correlated with respect to threshold=0.5. so these can be removed"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'pc', 'px_width', 'sc_w', 'three_g'}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9IltB8oCg57R"
      },
      "source": [
        " ### Information Gain"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "onUXZaX7j_Tk",
        "outputId": "913a1276-f6a7-4c4a-8a8c-583c0cf9e977",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 90
        }
      },
      "source": [
        "from sklearn.feature_selection import mutual_info_classif\n",
        "mutual_info=mutual_info_classif(x,y)\n",
        "mutual_info"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0.03275589, 0.        , 0.0124118 , 0.        , 0.024514  ,\n",
              "       0.0042178 , 0.        , 0.01997136, 0.00485937, 0.        ,\n",
              "       0.        , 0.0252889 , 0.02565571, 0.84590535, 0.        ,\n",
              "       0.0152535 , 0.00830742, 0.01296815, 0.02241855, 0.        ])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "j9UEbY-1lFFz",
        "outputId": "3317e532-b18b-495d-f7a7-6c8c7ce50250",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 399
        }
      },
      "source": [
        "pd.Series(mutual_info,index=x.columns).nlargest(20)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "ram              0.845905\n",
              "battery_power    0.032756\n",
              "px_width         0.025656\n",
              "px_height        0.025289\n",
              "fc               0.024514\n",
              "touch_screen     0.022419\n",
              "m_dep            0.019971\n",
              "sc_w             0.015254\n",
              "three_g          0.012968\n",
              "clock_speed      0.012412\n",
              "talk_time        0.008307\n",
              "mobile_wt        0.004859\n",
              "four_g           0.004218\n",
              "sc_h             0.000000\n",
              "pc               0.000000\n",
              "blue             0.000000\n",
              "n_cores          0.000000\n",
              "int_memory       0.000000\n",
              "dual_sim         0.000000\n",
              "wifi             0.000000\n",
              "dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 56
        }
      ]
    }
  ]
}