MNC_5_years_Comibined.ipynb

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      "name": "MNC_5_years_Comibined.ipynb",
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      "source": [
        "PROVIDE_OWN_INPUT = False"
      ],
      "execution_count": 30,
      "outputs": []
    },
    {
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          "height": 55
        },
        "outputId": "29d610c7-8511-4814-bc9d-4e73c7b4b2a9"
      },
      "source": [
        "from google.colab import files\n",
        "files.upload()"
      ],
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-4a55c814-f09d-4a27-9518-4ebd0a3e9b57\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-4a55c814-f09d-4a27-9518-4ebd0a3e9b57\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
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          "metadata": {
            "tags": []
          }
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          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qeLkeLYRPW7N",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "%matplotlib inline"
      ],
      "execution_count": 32,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "M330LuudB8__",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data = pd.read_csv('dum_data.csv')"
      ],
      "execution_count": 33,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yfct-Ab38ab2",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "1b0c5aa2-e8dd-4f3a-a540-3a575dcc471b"
      },
      "source": [
        "data.shape"
      ],
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(784, 15)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uVj7NWT2PW7Y",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 377
        },
        "outputId": "43775d15-892d-4bbf-b2c1-9652e83b01bb"
      },
      "source": [
        "data.head()"
      ],
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Company Name</th>\n",
              "      <th>Net Sales</th>\n",
              "      <th>PBIDTM (%)</th>\n",
              "      <th>PATM (%)</th>\n",
              "      <th>ROE (%)</th>\n",
              "      <th>ROCE (%)</th>\n",
              "      <th>Asset Turnover(x)</th>\n",
              "      <th>Total Debt/Equity(x)</th>\n",
              "      <th>Cons OCF</th>\n",
              "      <th>Cons PAT</th>\n",
              "      <th>OCF/PAT</th>\n",
              "      <th>FR_Dividend Pay Out Ratio(%)</th>\n",
              "      <th>Free Float</th>\n",
              "      <th>Ev/EBITDA</th>\n",
              "      <th>M/Sales</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>3I Infotech Ltd.</td>\n",
              "      <td>1681.02</td>\n",
              "      <td>32.07</td>\n",
              "      <td>-39.82</td>\n",
              "      <td>-70.15</td>\n",
              "      <td>-1.18</td>\n",
              "      <td>0.83</td>\n",
              "      <td>5.61</td>\n",
              "      <td>-154.46</td>\n",
              "      <td>-360.03</td>\n",
              "      <td>0.43</td>\n",
              "      <td>0.00</td>\n",
              "      <td>64.50</td>\n",
              "      <td>4.92</td>\n",
              "      <td>0.24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>3M India Ltd.</td>\n",
              "      <td>1405.10</td>\n",
              "      <td>17.29</td>\n",
              "      <td>8.81</td>\n",
              "      <td>22.66</td>\n",
              "      <td>32.52</td>\n",
              "      <td>3.54</td>\n",
              "      <td>0.25</td>\n",
              "      <td>20.89</td>\n",
              "      <td>64.77</td>\n",
              "      <td>0.32</td>\n",
              "      <td>0.00</td>\n",
              "      <td>12.95</td>\n",
              "      <td>29.25</td>\n",
              "      <td>3.61</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Aavas Financiers Ltd.</td>\n",
              "      <td>0.29</td>\n",
              "      <td>55.55</td>\n",
              "      <td>2.74</td>\n",
              "      <td>0.03</td>\n",
              "      <td>0.60</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.00</td>\n",
              "      <td>-0.64</td>\n",
              "      <td>0.00</td>\n",
              "      <td>-160.45</td>\n",
              "      <td>0.00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ABB India Ltd.</td>\n",
              "      <td>7451.79</td>\n",
              "      <td>10.57</td>\n",
              "      <td>4.96</td>\n",
              "      <td>14.58</td>\n",
              "      <td>24.79</td>\n",
              "      <td>2.37</td>\n",
              "      <td>0.00</td>\n",
              "      <td>120.00</td>\n",
              "      <td>184.71</td>\n",
              "      <td>0.65</td>\n",
              "      <td>34.43</td>\n",
              "      <td>13.15</td>\n",
              "      <td>41.88</td>\n",
              "      <td>2.25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Abbott India Ltd.</td>\n",
              "      <td>1490.21</td>\n",
              "      <td>25.88</td>\n",
              "      <td>15.96</td>\n",
              "      <td>56.69</td>\n",
              "      <td>84.84</td>\n",
              "      <td>3.22</td>\n",
              "      <td>0.00</td>\n",
              "      <td>24.07</td>\n",
              "      <td>120.39</td>\n",
              "      <td>0.20</td>\n",
              "      <td>30.00</td>\n",
              "      <td>21.68</td>\n",
              "      <td>17.60</td>\n",
              "      <td>2.50</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            Company Name  Net Sales  PBIDTM (%)  ...  Free Float  Ev/EBITDA  M/Sales\n",
              "0       3I Infotech Ltd.    1681.02       32.07  ...       64.50       4.92     0.24\n",
              "1          3M India Ltd.    1405.10       17.29  ...       12.95      29.25     3.61\n",
              "2  Aavas Financiers Ltd.       0.29       55.55  ...         NaN       0.00     0.00\n",
              "3         ABB India Ltd.    7451.79       10.57  ...       13.15      41.88     2.25\n",
              "4      Abbott India Ltd.    1490.21       25.88  ...       21.68      17.60     2.50\n",
              "\n",
              "[5 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bKApmFNkPW7h",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data = data.replace( ' -   ', np.nan)"
      ],
      "execution_count": 36,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kHoY6-0T2Z9T",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "outputId": "de1915a1-d5f5-4173-ef1f-622893ed1d1f"
      },
      "source": [
        "data.dtypes"
      ],
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Company Name                     object\n",
              "Net Sales                       float64\n",
              "PBIDTM (%)                      float64\n",
              "PATM (%)                        float64\n",
              "ROE (%)                         float64\n",
              "ROCE (%)                        float64\n",
              "Asset Turnover(x)               float64\n",
              "Total Debt/Equity(x)            float64\n",
              "Cons OCF                        float64\n",
              "Cons PAT                        float64\n",
              "OCF/PAT                         float64\n",
              "FR_Dividend Pay Out Ratio(%)    float64\n",
              "Free Float                      float64\n",
              "Ev/EBITDA                       float64\n",
              "M/Sales                         float64\n",
              "dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9YSg1kfBPW7k",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#data.drop(labels='Company Name', axis=1, inplace=True)"
      ],
      "execution_count": 38,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qLPgieKYPW7o",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data.iloc[:,1:] = data.iloc[:,1:].astype('float64')"
      ],
      "execution_count": 39,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6baN_MMKPW7s",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data.fillna(data.mean(), inplace=True)"
      ],
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "W_fAZTkN_hb1",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "50e4ab0a-a071-47ad-d57c-40419da4b79d"
      },
      "source": [
        "len(data.columns)"
      ],
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "15"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vJfzFUelXRIQ",
        "colab_type": "text"
      },
      "source": [
        "# **Ev/EBITDA Prediction**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bBWjhlu7PW70",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data1 = data.iloc[:,:-1 ]"
      ],
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WQ6KM6YFPW73",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 377
        },
        "outputId": "edaf1614-d920-40bb-c676-c73cee90c7ae"
      },
      "source": [
        "data1.head()\n"
      ],
      "execution_count": 43,
      "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>Company Name</th>\n",
              "      <th>Net Sales</th>\n",
              "      <th>PBIDTM (%)</th>\n",
              "      <th>PATM (%)</th>\n",
              "      <th>ROE (%)</th>\n",
              "      <th>ROCE (%)</th>\n",
              "      <th>Asset Turnover(x)</th>\n",
              "      <th>Total Debt/Equity(x)</th>\n",
              "      <th>Cons OCF</th>\n",
              "      <th>Cons PAT</th>\n",
              "      <th>OCF/PAT</th>\n",
              "      <th>FR_Dividend Pay Out Ratio(%)</th>\n",
              "      <th>Free Float</th>\n",
              "      <th>Ev/EBITDA</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>3I Infotech Ltd.</td>\n",
              "      <td>1681.02</td>\n",
              "      <td>32.07</td>\n",
              "      <td>-39.82</td>\n",
              "      <td>-70.15</td>\n",
              "      <td>-1.18</td>\n",
              "      <td>0.83</td>\n",
              "      <td>5.61</td>\n",
              "      <td>-154.46</td>\n",
              "      <td>-360.03</td>\n",
              "      <td>0.43</td>\n",
              "      <td>0.00</td>\n",
              "      <td>64.500000</td>\n",
              "      <td>4.92</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>3M India Ltd.</td>\n",
              "      <td>1405.10</td>\n",
              "      <td>17.29</td>\n",
              "      <td>8.81</td>\n",
              "      <td>22.66</td>\n",
              "      <td>32.52</td>\n",
              "      <td>3.54</td>\n",
              "      <td>0.25</td>\n",
              "      <td>20.89</td>\n",
              "      <td>64.77</td>\n",
              "      <td>0.32</td>\n",
              "      <td>0.00</td>\n",
              "      <td>12.950000</td>\n",
              "      <td>29.25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Aavas Financiers Ltd.</td>\n",
              "      <td>0.29</td>\n",
              "      <td>55.55</td>\n",
              "      <td>2.74</td>\n",
              "      <td>0.03</td>\n",
              "      <td>0.60</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.00</td>\n",
              "      <td>-0.64</td>\n",
              "      <td>0.00</td>\n",
              "      <td>-160.45</td>\n",
              "      <td>0.00</td>\n",
              "      <td>23.129121</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ABB India Ltd.</td>\n",
              "      <td>7451.79</td>\n",
              "      <td>10.57</td>\n",
              "      <td>4.96</td>\n",
              "      <td>14.58</td>\n",
              "      <td>24.79</td>\n",
              "      <td>2.37</td>\n",
              "      <td>0.00</td>\n",
              "      <td>120.00</td>\n",
              "      <td>184.71</td>\n",
              "      <td>0.65</td>\n",
              "      <td>34.43</td>\n",
              "      <td>13.150000</td>\n",
              "      <td>41.88</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Abbott India Ltd.</td>\n",
              "      <td>1490.21</td>\n",
              "      <td>25.88</td>\n",
              "      <td>15.96</td>\n",
              "      <td>56.69</td>\n",
              "      <td>84.84</td>\n",
              "      <td>3.22</td>\n",
              "      <td>0.00</td>\n",
              "      <td>24.07</td>\n",
              "      <td>120.39</td>\n",
              "      <td>0.20</td>\n",
              "      <td>30.00</td>\n",
              "      <td>21.680000</td>\n",
              "      <td>17.60</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            Company Name  Net Sales  ...  Free Float  Ev/EBITDA\n",
              "0       3I Infotech Ltd.    1681.02  ...   64.500000       4.92\n",
              "1          3M India Ltd.    1405.10  ...   12.950000      29.25\n",
              "2  Aavas Financiers Ltd.       0.29  ...   23.129121       0.00\n",
              "3         ABB India Ltd.    7451.79  ...   13.150000      41.88\n",
              "4      Abbott India Ltd.    1490.21  ...   21.680000      17.60\n",
              "\n",
              "[5 rows x 14 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-5qEKJb_PW7_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 988
        },
        "outputId": "c2d66d1e-66bd-4275-f2e4-f7afb5bf5f0e"
      },
      "source": [
        "plt.figure(figsize=(16,16))\n",
        "cor = data1.corr()\n",
        "sns.heatmap(cor, annot=True, cmap='Greens')\n",
        "plt.show()"
      ],
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x1152 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hpl2dww8Xdrk",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 351
        },
        "outputId": "cebc4548-396f-443d-f049-882dd8adc56e"
      },
      "source": [
        "data.describe()"
      ],
      "execution_count": 45,
      "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>Net Sales</th>\n",
              "      <th>PBIDTM (%)</th>\n",
              "      <th>PATM (%)</th>\n",
              "      <th>ROE (%)</th>\n",
              "      <th>ROCE (%)</th>\n",
              "      <th>Asset Turnover(x)</th>\n",
              "      <th>Total Debt/Equity(x)</th>\n",
              "      <th>Cons OCF</th>\n",
              "      <th>Cons PAT</th>\n",
              "      <th>OCF/PAT</th>\n",
              "      <th>FR_Dividend Pay Out Ratio(%)</th>\n",
              "      <th>Free Float</th>\n",
              "      <th>Ev/EBITDA</th>\n",
              "      <th>M/Sales</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>784.000000</td>\n",
              "      <td>784.000000</td>\n",
              "      <td>784.000000</td>\n",
              "      <td>784.000000</td>\n",
              "      <td>784.000000</td>\n",
              "      <td>784.000000</td>\n",
              "      <td>784.000000</td>\n",
              "      <td>784.000000</td>\n",
              "      <td>784.000000</td>\n",
              "      <td>784.000000</td>\n",
              "      <td>784.000000</td>\n",
              "      <td>784.000000</td>\n",
              "      <td>784.00000</td>\n",
              "      <td>784.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>2871.964444</td>\n",
              "      <td>17.808610</td>\n",
              "      <td>2.544184</td>\n",
              "      <td>18.127857</td>\n",
              "      <td>35.016709</td>\n",
              "      <td>1.778801</td>\n",
              "      <td>0.230663</td>\n",
              "      <td>357.803006</td>\n",
              "      <td>273.020026</td>\n",
              "      <td>9.712597</td>\n",
              "      <td>21.227615</td>\n",
              "      <td>23.129121</td>\n",
              "      <td>9.57977</td>\n",
              "      <td>1.699579</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>7143.107050</td>\n",
              "      <td>226.136429</td>\n",
              "      <td>225.663870</td>\n",
              "      <td>139.887254</td>\n",
              "      <td>52.629130</td>\n",
              "      <td>2.014831</td>\n",
              "      <td>11.922658</td>\n",
              "      <td>1282.885094</td>\n",
              "      <td>1220.441750</td>\n",
              "      <td>205.327607</td>\n",
              "      <td>47.599165</td>\n",
              "      <td>12.053937</td>\n",
              "      <td>29.86201</td>\n",
              "      <td>2.575865</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>-6257.080000</td>\n",
              "      <td>-6257.110000</td>\n",
              "      <td>-3187.550000</td>\n",
              "      <td>-282.010000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-172.520000</td>\n",
              "      <td>-1520.000000</td>\n",
              "      <td>-15646.000000</td>\n",
              "      <td>-350.030000</td>\n",
              "      <td>-895.520000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-709.52000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>284.855000</td>\n",
              "      <td>10.257500</td>\n",
              "      <td>2.457500</td>\n",
              "      <td>6.677500</td>\n",
              "      <td>10.005000</td>\n",
              "      <td>0.880000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>7.812500</td>\n",
              "      <td>6.495000</td>\n",
              "      <td>0.397500</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>17.087500</td>\n",
              "      <td>3.26000</td>\n",
              "      <td>0.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>893.500000</td>\n",
              "      <td>18.775000</td>\n",
              "      <td>8.830000</td>\n",
              "      <td>18.600000</td>\n",
              "      <td>24.795000</td>\n",
              "      <td>1.400000</td>\n",
              "      <td>0.080000</td>\n",
              "      <td>49.385000</td>\n",
              "      <td>42.415000</td>\n",
              "      <td>0.940000</td>\n",
              "      <td>13.885000</td>\n",
              "      <td>22.390000</td>\n",
              "      <td>8.04000</td>\n",
              "      <td>1.030000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>2215.260000</td>\n",
              "      <td>33.870000</td>\n",
              "      <td>18.072500</td>\n",
              "      <td>36.362500</td>\n",
              "      <td>45.312500</td>\n",
              "      <td>2.302500</td>\n",
              "      <td>0.980000</td>\n",
              "      <td>182.997500</td>\n",
              "      <td>148.130000</td>\n",
              "      <td>1.590000</td>\n",
              "      <td>34.407500</td>\n",
              "      <td>26.505000</td>\n",
              "      <td>13.60000</td>\n",
              "      <td>2.480000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>74311.600000</td>\n",
              "      <td>209.590000</td>\n",
              "      <td>194.770000</td>\n",
              "      <td>641.270000</td>\n",
              "      <td>481.500000</td>\n",
              "      <td>41.460000</td>\n",
              "      <td>121.660000</td>\n",
              "      <td>17805.000000</td>\n",
              "      <td>12056.390000</td>\n",
              "      <td>5679.500000</td>\n",
              "      <td>471.920000</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>194.68000</td>\n",
              "      <td>49.560000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "          Net Sales   PBIDTM (%)  ...  Ev/EBITDA     M/Sales\n",
              "count    784.000000   784.000000  ...  784.00000  784.000000\n",
              "mean    2871.964444    17.808610  ...    9.57977    1.699579\n",
              "std     7143.107050   226.136429  ...   29.86201    2.575865\n",
              "min        0.000000 -6257.080000  ... -709.52000    0.000000\n",
              "25%      284.855000    10.257500  ...    3.26000    0.250000\n",
              "50%      893.500000    18.775000  ...    8.04000    1.030000\n",
              "75%     2215.260000    33.870000  ...   13.60000    2.480000\n",
              "max    74311.600000   209.590000  ...  194.68000   49.560000\n",
              "\n",
              "[8 rows x 14 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VJtw-Zstb-bm",
        "colab_type": "text"
      },
      "source": [
        "## Selecting most important features:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NwpHXXlkPW8F",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        },
        "outputId": "bd1a917e-c272-41d0-cf69-8b345ed03754"
      },
      "source": [
        "cor_target = abs(cor[\"Ev/EBITDA\"])\n",
        "cor_target.sort_values(ascending=False)[:6]"
      ],
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Ev/EBITDA            1.000000\n",
              "ROCE (%)             0.063590\n",
              "Asset Turnover(x)    0.049836\n",
              "Net Sales            0.042861\n",
              "ROE (%)              0.028316\n",
              "Cons PAT             0.018610\n",
              "Name: Ev/EBITDA, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T66rR4ayPW8I",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "X,y = data1[['Net Sales', 'ROE (%)', 'ROCE (%)', 'Asset Turnover(x)', 'Cons PAT']], data1['Ev/EBITDA']"
      ],
      "execution_count": 47,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WvL1kqO-PW8W",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "if PROVIDE_OWN_INPUT:\n",
        "    X_test =  pd.read_csv('test_data.csv')\n",
        "    X_train,y_train = X,y\n",
        "else:\n",
        "    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2,random_state = 42)"
      ],
      "execution_count": 48,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UjQO1tDioVcA",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 69
        },
        "outputId": "cfaeee3f-217d-4579-e99e-5ae3ef7f280c"
      },
      "source": [
        "'''\n",
        "from sklearn.preprocessing import StandardScaler, MinMaxScaler, RobustScaler\n",
        "\n",
        "\n",
        "sc_X = StandardScaler()\n",
        "X_train = sc_X.fit_transform(X_train)\n",
        "X_test = sc_X.transform(X_test)\n",
        "\n",
        "mm_X = MinMaxScaler()\n",
        "X = mm_X.fit_transform(X)\n",
        "rs_X = RobustScaler()\n",
        "X = rs_X.fit_transform(X)\n",
        "'''"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic": {
              "type": "string"
            },
            "text/plain": [
              "'\\nfrom sklearn.preprocessing import StandardScaler, MinMaxScaler, RobustScaler\\n\\n\\nsc_X = StandardScaler()\\nX_train = sc_X.fit_transform(X_train)\\nX_test = sc_X.transform(X_test)\\n\\nmm_X = MinMaxScaler()\\nX = mm_X.fit_transform(X)\\nrs_X = RobustScaler()\\nX = rs_X.fit_transform(X)\\n'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dNS2oDutBoIr",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.linear_model import LassoCV\n",
        "import xgboost as xgb\n",
        "from sklearn.linear_model import RidgeCV\n",
        "from sklearn.linear_model import BayesianRidge\n",
        "from sklearn.linear_model import ARDRegression\n",
        "from sklearn.linear_model import ElasticNetCV\n",
        "from sklearn.linear_model import LassoLarsCV\n",
        "from sklearn.svm import SVR\n",
        "l=[LassoCV(cv=5, random_state=0),\n",
        "    xgb.XGBRegressor(objective ='reg:squarederror', colsample_bytree = 0.3, learning_rate = 0.1, alpha = 10, n_estimators = 500),\n",
        "    RidgeCV(alphas=[1e-3, 1e-2, 1e-1, 1]),\n",
        "    BayesianRidge(compute_score=True),\n",
        "    ARDRegression(),\n",
        "    ElasticNetCV(cv=10, random_state=42),\n",
        "    LassoLarsCV(cv=5),\n",
        "    SVR(kernel='rbf', C=100, gamma=0.1, epsilon=.1)\n",
        "]\n",
        "reg_name = ['LassoCV', 'XGBRegressor', 'RidgeCV', 'BayesianRidge', 'ARDRegression',\n",
        "            'ElasticNetCV', 'LassoLarsCV', 'SVR']\n",
        "pred_list = []\n",
        "for i in l:\n",
        "    i.fit(X_train,y_train)\n",
        "    #print(i)\n",
        "    pred_list.append(i.predict(X_test))"
      ],
      "execution_count": 49,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CzLdzppGkUaA",
        "colab_type": "text"
      },
      "source": [
        "### Mean Squared Error\n",
        "> Lower the value of error, better the performance"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nfLjLXQ6CmL6",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        },
        "outputId": "2403524c-f125-4ea1-8b60-7916fee24929"
      },
      "source": [
        "from sklearn.metrics import mean_squared_error\n",
        "for i,r,p in zip(range(len(reg_name)),reg_name,pred_list):\n",
        "    #print(r,'\\t',mean_squared_error(y_test.values, p))\n",
        "    \n",
        "    print('{:2d} {:20s}    {:.10f}'.format(i,r, round(mean_squared_error(y_test.values, p)**0.5,5)))"
      ],
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            " 0 LassoCV                 14.8781500000\n",
            " 1 XGBRegressor            24.0039900000\n",
            " 2 RidgeCV                 15.0593500000\n",
            " 3 BayesianRidge           14.8872800000\n",
            " 4 ARDRegression           14.7975500000\n",
            " 5 ElasticNetCV            14.8835300000\n",
            " 6 LassoLarsCV             14.8772600000\n",
            " 7 SVR                     14.6339200000\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SPKbBcSQkkIb",
        "colab_type": "text"
      },
      "source": [
        "### R2 Score\n",
        "> Higher the score, better the model. A perfect model willl have the highest value(i.e 1)."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XT0PwTMVMJFl",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        },
        "outputId": "c67879fd-f1de-45f4-fb36-d9f38968c0b1"
      },
      "source": [
        "from sklearn.metrics import r2_score\n",
        "for i,r,p in zip(range(len(reg_name)),reg_name,pred_list):\n",
        "    #print(r,'\\t',mean_squared_error(y_test.values, p))\n",
        "    \n",
        "    print('{:2d} {:20s}    {:.5f}'.format(i,r, r2_score(y_test.values, p)))"
      ],
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            " 0 LassoCV                 -0.03844\n",
            " 1 XGBRegressor            -1.70302\n",
            " 2 RidgeCV                 -0.06389\n",
            " 3 BayesianRidge           -0.03971\n",
            " 4 ARDRegression           -0.02722\n",
            " 5 ElasticNetCV            -0.03919\n",
            " 6 LassoLarsCV             -0.03831\n",
            " 7 SVR                     -0.00463\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HveRXF9Apinu",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "outputId": "b639e467-5863-4424-e92c-2d6034a26b3b"
      },
      "source": [
        "if PROVIDE_OWN_INPUT:\n",
        "    plt.plot(range(y_train.shape[0]),y_train,'.r')\n",
        "else:\n",
        "    plt.plot(range(y_test.shape[0]),y_test,'.r')\n",
        "plt.plot([i for i in range(len(pred_list[3]))], pred_list[3])\n"
      ],
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f142241f940>]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 52
        },
        {
          "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": "Esb5gGlAY0Vn",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337
        },
        "outputId": "e918b004-5a0f-4b68-cb8f-3ae014654386"
      },
      "source": [
        "plt.subplots(figsize=(12,5))\n",
        "sns.kdeplot(y_train, shade=True, label='Train')\n",
        "sns.kdeplot(y_test, shade = True, label= 'Test')\n",
        "plt.legend( prop={'size': 30})"
      ],
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7f142b3580b8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 53
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MmXmdCTwY2qX",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337
        },
        "outputId": "4aa1ae34-50d2-4151-e9e9-2235edc4fdb3"
      },
      "source": [
        "plt.subplots(figsize=(12,5))\n",
        "sns.kdeplot(pred_list[3], shade=True, label='Pred')\n",
        "sns.kdeplot(y_test, shade = True, label= 'Test')\n",
        "plt.legend( prop={'size': 30})"
      ],
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7f1437810630>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 54
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JQFUM9oXV7hO",
        "colab_type": "text"
      },
      "source": [
        "# **M/Sales Prediction**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LhHK5BKsXNWA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data2 = data.iloc[:,: ].drop('Ev/EBITDA', axis=1)"
      ],
      "execution_count": 55,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0WqC2pY0ZuEh",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 377
        },
        "outputId": "d7838ac9-b43b-4bbb-eeaa-0829814861fa"
      },
      "source": [
        "data2.head()"
      ],
      "execution_count": 56,
      "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>Company Name</th>\n",
              "      <th>Net Sales</th>\n",
              "      <th>PBIDTM (%)</th>\n",
              "      <th>PATM (%)</th>\n",
              "      <th>ROE (%)</th>\n",
              "      <th>ROCE (%)</th>\n",
              "      <th>Asset Turnover(x)</th>\n",
              "      <th>Total Debt/Equity(x)</th>\n",
              "      <th>Cons OCF</th>\n",
              "      <th>Cons PAT</th>\n",
              "      <th>OCF/PAT</th>\n",
              "      <th>FR_Dividend Pay Out Ratio(%)</th>\n",
              "      <th>Free Float</th>\n",
              "      <th>M/Sales</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>3I Infotech Ltd.</td>\n",
              "      <td>1681.02</td>\n",
              "      <td>32.07</td>\n",
              "      <td>-39.82</td>\n",
              "      <td>-70.15</td>\n",
              "      <td>-1.18</td>\n",
              "      <td>0.83</td>\n",
              "      <td>5.61</td>\n",
              "      <td>-154.46</td>\n",
              "      <td>-360.03</td>\n",
              "      <td>0.43</td>\n",
              "      <td>0.00</td>\n",
              "      <td>64.500000</td>\n",
              "      <td>0.24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>3M India Ltd.</td>\n",
              "      <td>1405.10</td>\n",
              "      <td>17.29</td>\n",
              "      <td>8.81</td>\n",
              "      <td>22.66</td>\n",
              "      <td>32.52</td>\n",
              "      <td>3.54</td>\n",
              "      <td>0.25</td>\n",
              "      <td>20.89</td>\n",
              "      <td>64.77</td>\n",
              "      <td>0.32</td>\n",
              "      <td>0.00</td>\n",
              "      <td>12.950000</td>\n",
              "      <td>3.61</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Aavas Financiers Ltd.</td>\n",
              "      <td>0.29</td>\n",
              "      <td>55.55</td>\n",
              "      <td>2.74</td>\n",
              "      <td>0.03</td>\n",
              "      <td>0.60</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.00</td>\n",
              "      <td>-0.64</td>\n",
              "      <td>0.00</td>\n",
              "      <td>-160.45</td>\n",
              "      <td>0.00</td>\n",
              "      <td>23.129121</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ABB India Ltd.</td>\n",
              "      <td>7451.79</td>\n",
              "      <td>10.57</td>\n",
              "      <td>4.96</td>\n",
              "      <td>14.58</td>\n",
              "      <td>24.79</td>\n",
              "      <td>2.37</td>\n",
              "      <td>0.00</td>\n",
              "      <td>120.00</td>\n",
              "      <td>184.71</td>\n",
              "      <td>0.65</td>\n",
              "      <td>34.43</td>\n",
              "      <td>13.150000</td>\n",
              "      <td>2.25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Abbott India Ltd.</td>\n",
              "      <td>1490.21</td>\n",
              "      <td>25.88</td>\n",
              "      <td>15.96</td>\n",
              "      <td>56.69</td>\n",
              "      <td>84.84</td>\n",
              "      <td>3.22</td>\n",
              "      <td>0.00</td>\n",
              "      <td>24.07</td>\n",
              "      <td>120.39</td>\n",
              "      <td>0.20</td>\n",
              "      <td>30.00</td>\n",
              "      <td>21.680000</td>\n",
              "      <td>2.50</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            Company Name  Net Sales  ...  Free Float  M/Sales\n",
              "0       3I Infotech Ltd.    1681.02  ...   64.500000     0.24\n",
              "1          3M India Ltd.    1405.10  ...   12.950000     3.61\n",
              "2  Aavas Financiers Ltd.       0.29  ...   23.129121     0.00\n",
              "3         ABB India Ltd.    7451.79  ...   13.150000     2.25\n",
              "4      Abbott India Ltd.    1490.21  ...   21.680000     2.50\n",
              "\n",
              "[5 rows x 14 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 56
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QIlTiSHvi6Ew",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "e4a8fdd0-1f47-4614-ec8b-5b9cd729657a"
      },
      "source": [
        "plt.figure(figsize=(16,16))\n",
        "cor = data2.corr()\n",
        "sns.heatmap(cor, annot=True, cmap='YlGnBu')\n",
        "plt.show()"
      ],
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x1152 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yp2ozzLRjVV_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        },
        "outputId": "f3c33070-5c86-4458-a8f2-fe1bd024629d"
      },
      "source": [
        "cor_target = abs(cor[\"M/Sales\"])\n",
        "cor_target.sort_values(ascending=False)[:6]"
      ],
      "execution_count": 58,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "M/Sales                         1.000000\n",
              "Cons PAT                        0.276746\n",
              "Cons OCF                        0.207489\n",
              "ROCE (%)                        0.203303\n",
              "FR_Dividend Pay Out Ratio(%)    0.158442\n",
              "Net Sales                       0.154774\n",
              "Name: M/Sales, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 58
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2mnSuhtOkWX5",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "X,y = data2[['Net Sales', 'ROCE (%)', 'Cons OCF', 'Cons PAT',\n",
        "       'FR_Dividend Pay Out Ratio(%)']], data2['M/Sales']"
      ],
      "execution_count": 59,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eE1B8yP7mOQK",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "if PROVIDE_OWN_INPUT:\n",
        "    X_test =  pd.read_csv('test_data.csv')\n",
        "    X_train,y_train = X,y\n",
        "else:\n",
        "    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2,random_state = 42)"
      ],
      "execution_count": 60,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WIzQNsgynCjy",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.linear_model import LassoCV\n",
        "import xgboost as xgb\n",
        "from sklearn.linear_model import RidgeCV\n",
        "from sklearn.linear_model import BayesianRidge\n",
        "from sklearn.linear_model import ARDRegression\n",
        "from sklearn.linear_model import ElasticNetCV\n",
        "from sklearn.linear_model import LassoLarsCV\n",
        "from sklearn.svm import SVR\n",
        "l=[LassoCV(cv=5, random_state=0),\n",
        "    xgb.XGBRegressor(objective ='reg:squarederror', colsample_bytree = 0.3, learning_rate = 0.1, alpha = 10, n_estimators = 500),\n",
        "    RidgeCV(alphas=[1e-3, 1e-2, 1e-1, 1],cv=5),\n",
        "    BayesianRidge(compute_score=True),\n",
        "    ARDRegression(),\n",
        "    ElasticNetCV(cv=10, random_state=42),\n",
        "    LassoLarsCV(cv=10),\n",
        "    SVR(kernel='rbf', C=100, gamma=0.1, epsilon=.1)\n",
        "]\n",
        "reg_name = ['LassoCV', 'XGBRegressor', 'RidgeCV', 'BayesianRidge', 'ARDRegression',\n",
        "            'ElasticNetCV', 'LassoLarsCV', 'SVR',]\n",
        "pred_list = []\n",
        "for i in l:\n",
        "    i.fit(X_train,y_train)\n",
        "    #print(i)\n",
        "    pred_list.append(i.predict(X_test))"
      ],
      "execution_count": 61,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eggWlLu0mhv-",
        "colab_type": "text"
      },
      "source": [
        "### Mean Squared Error\n",
        "> Lower the value of error, better the performance"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hrZW8zxVnHVw",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        },
        "outputId": "2ce4f7c6-92e3-41cf-a8cc-87133779717f"
      },
      "source": [
        "from sklearn.metrics import mean_squared_error\n",
        "for i,r,p in zip(range(len(reg_name)),reg_name,pred_list):\n",
        "    #print(r,'\\t',mean_squared_error(y_test.values, p))\n",
        "    \n",
        "    print('{:2d} {:20s}    {:.5f}'.format(i,r, round(mean_squared_error(y_test.values, p)**0.5,5),))"
      ],
      "execution_count": 62,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            " 0 LassoCV                 2.33507\n",
            " 1 XGBRegressor            2.22658\n",
            " 2 RidgeCV                 2.34139\n",
            " 3 BayesianRidge           2.28742\n",
            " 4 ARDRegression           2.65127\n",
            " 5 ElasticNetCV            2.33509\n",
            " 6 LassoLarsCV             2.33400\n",
            " 7 SVR                     2.48445\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rEo4-Hdbmm6Q",
        "colab_type": "text"
      },
      "source": [
        "### R2 Score\n",
        "> Higher the score, better the model. A perfect model willl have the highest value(i.e 1)."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5zUzKsp3LFiV",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        },
        "outputId": "02113a9a-6931-4bcf-8fc8-3c9f9830db2e"
      },
      "source": [
        "from sklearn.metrics import r2_score\n",
        "for i,r,p in zip(range(len(reg_name)),reg_name,pred_list):\n",
        "    #print(r,'\\t',mean_squared_error(y_test.values, p))\n",
        "    \n",
        "    print('{:2d} {:20s}    {:.5f}'.format(i,r, r2_score(y_test.values, p)))"
      ],
      "execution_count": 64,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            " 0 LassoCV                 0.12086\n",
            " 1 XGBRegressor            0.20065\n",
            " 2 RidgeCV                 0.11609\n",
            " 3 BayesianRidge           0.15637\n",
            " 4 ARDRegression           -0.13336\n",
            " 5 ElasticNetCV            0.12084\n",
            " 6 LassoLarsCV             0.12166\n",
            " 7 SVR                     0.00478\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YQCC_uwFnMcP",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "outputId": "8d297594-a225-4e91-a04d-8c71f38b392d"
      },
      "source": [
        "if PROVIDE_OWN_INPUT:\n",
        "    plt.plot(range(y_train.shape[0]),y_train,'.r')\n",
        "else:\n",
        "    plt.plot(range(y_test.shape[0]),y_test,'.r')\n",
        "plt.plot([i for i in range(len(pred_list[3]))], pred_list[3])"
      ],
      "execution_count": 67,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f1422049208>]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 67
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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krU0Ym5i+1uEkt6SanpGhFJbbKCiz0S8m4tS3na4e1DsDMwC8E5nMl9l2rhzbh56RoV69NKe0mmEJ3dmdW0a++yFaAByFNLZ4Zx7rM0+w8fAJLmwioO0OPQ+AzzZm8eepI7ya59Jdefz1i+38YlISv7m4hQy/UaB2Bbf4yFASo8M4VlxdP52/S19N7SR82HG7Si8jE3uwL68ch1N7vBHZI1/t5FBhOU9fb6QK0RHB9AgL8vkEpGs4Y1y3EHpGhtZn6icq6R8bQd+YcACyN++Cuy73uf8Oue2sDhZUdExQh9YnjI2mzyuzUevUTEiKZuGOPPJKq9stqHfd0S+dgdsInN1b9gOwZoH3o3ByS6oYFWzDiiZv14GGT7blSxIaKSy3seFwUZvn0xZ7cssA2JZd0vDKSKsV25EsDpnBZu7GbBzOlm+3//TC3dwxO4OckmpW7WvhS1eaGCmVX1ZNbLcQQoIs9IkKrx+r7u9RQJ5GaTUzKslW2/QVxq6gfv4ZPbG7lWKasnBHLqv2FdadpIuOCKZ7WLDPV5QWlhsjhcKCrcR3rw/qR4oqGRAbQUxEMOHBVrL3Hm5T/2UWVtAtxChTHCzs4BEwbeA6STohKQaA3JL2GwEjQb0tzABQjYUDsX0BWPmfr70aXlnjcJJfaqPvpx8SX3acvM+/MV53Ci7U+PfivdzwxndtuvCkrfbkGUF9e3ZJfUC7805Qiv1fLMKh4ceJweSUVLP2QPNfdVvjcPLWqkNMHZXAdeP7sTu3DN3cV7U1Eajzy2z06m4cUfWJNoN6ejocOQJBQa26FP9XH2zgvo82e73sOo133Onp7P3nc5z1t29ZvDPvpFllnTDq1ymD4wDPJZickiqyi6uodWpW7TP6MjoihB7hQZRV1zbfVx4UltvqjkDjzZJCdY2DvFIb/WMjUErRLyac7Lg+Pt3KwCWzsJJRfaKI7RbCoULvR/h0NtnFxjkPV1Bvz5OlEtTbwsw49/ccgMNipbutglUDzkYvT2vxpQVlNjSQWJxHQlkReRHR8P77VFx6ObV/f9ivY+83HD5BjUOzZl/HfC94ld1RdwJsa1aJ8WBKCgwYALW17InrD8BvynYQFR7Mpxuymp3fntwybLVOrji7D2P6R1FcWdP8WOAm7plSUGYj3gzqfaPDyCuppuZHU+DNN41RD3fe6VXpYMPhIhZsz2XRjlxqzfHaLS27SWZGv+7zZdRoeOijDQ3u2QJGpp7QPYwzehklicMffNbkNpKReaLu7+W78wGIDjdOlNY6NVU+3GvoeLmdOPMEaE8zU3cdOQyINcoKfWPCybaE8/X7C/jtjNnYFy9p9ZHmoeMVDOwZweCe3ThQ0PmCem5JdYMbpHmSXVcqiyIkyCJB3ZPj5TZW7m35+01rHM4GlzE3RWvN3I1ZdbVCn5gZ5+6f3QbAz7csJD8ylr0TLmjxpa6RL72rS+hVUUR+9ziqsXDBtFdI/vVs/jj51xxbtsarZny8/iiXPr+SnJKTR3CU22rZa2bJy/fke7tmXtt5rJQHPt3CkWZGY+zLL0NrGDcgmuziKorMk26ugLen1yBCamsYnr2PnyRYWLgjl3Kb56F3m44WA8bIlRHHjwCwa/n3nhvZRKmjQVCPCccJHA2PMTJqh8PY4XgRkJ5fsg+ACruD3WaJyeOyn3/eyNTT0ymtruGHz6TVvydmRr8jfiBhNTYKbU6eWLC7wayyTlTSLyacPrs3E+yo5XDa903u/DMyiwgPttI/NpwMs+zmKr8APg1rPF5hIy7SCOrxkaEUVdrryl79XUE9Opy9ueX8bmMFX9VEs7SHl4MGzKPT8pVrKSizkRTXjcHx3TjYgUE9v7SarVnFJx3V3Pz29/zpky0tvj7rRBU9I0MID7GS0CO02VKZv3WpoP7I/J3c/Z8N7F+0ukGJ4sCi1ez553OQno691smVL6/hT5823/Hbskv448dbeGnZfp/aorXGXuuElBR2T7mGUAvcPNm4KdeqiL5109lrnVTaT/4QuWqdic8/ScKoM8jrM5DvL/0ZJyJ6MCr/EN8MO48Z4WfXv8BDWebdNYd44LOt7M4t461Vh05aztasYpwaekaGsnxPQYs7O29prXliwW6ueGkVH2dkMTs90+O0rmB3/QQjI9+WbWTrznMnGTvFcRdwRtFRgt98g6ufvJ/qGieL5632OL/NR4rpGRlCv92bGf6La41lPPt680c2bqUOrTUFZTZ6dTeGkJ43pCcAC878QavKBhsOF7FqXyG3njcQgPWZHs5bpKQY8/vDH+pq66u/XsvBwgq+2nLMmMbcwe1MGMK43H388oxw5qw70iCJyTpRRb+YcKwrVtC/JI8jUQl1JZ2P1h/htnfXUetwknH4BOMGRDMxKRbX222MfjHGRfhShjtebq8vv3QPRWt4dP5OUgbHMaZfFGDsHO0OJ+P6R9MnKow56482mEdRhZ0TFY2yXLdzDpk3/xKAQT27MahnJIXlthbbeqLCzobDRU0fJbXBvXM2ceXLa7jgyeXM25wNGEfX+/LLWbWvsO7OqlV2R125a92hIuZuzKKw3EZ2cRV9zROjvXuEtesFSF0qqP/lsjMJV07u/WgL1TMfgcmTqXr9TW768iDXHe9P5rU3MXtOGrtySvlqy7EG9312OjUPvb6EFY+8BOnpzNtsfJjmbz120gZR63BytKiSNfsLmbPuCG+uPHjSULDZazM557ElFFXY2ZVbyvA+UfR76E8M7W5l6bfr0WvXUlpdw5Uvr+YnL60+6fa6rqw68QeTSLjoPE7YNUuJI8QCb4228Kex0azIrzE+1OnplF96OWvf+Jj//OFJqlatBWDl3gL+8dVOpoxM4IqzE5mTfojifz3VILhtOmJktb9KHUJBmY2dOaV+eS8OFVbw+ooDXH52HyYNjmXxzjyPtdo9uWWEBVu4bHRvwKirv5Z2gAueXEbBWePZHRLDiILD4HAwPnMbfUvymTd3lccgvfnoCcb0i0atWEFUeTF9S/LZHdO/xZNye3LL+PWHG1i4Iw+7w1mXqfePjeCcQbF8NuUX6EeMbL54zAReWb6fmV/u8Lhez3+6nlhVywMxJfSNDm9Q9jhJo9r68s3GEUb6gePG/FNSqF28hN2JZzAydQJ/nJbKsIRI/vjxZvLLqql1OMkpMUdQpKYyoDSPzJg+dTugdxfvZPmeAmZ9YGz/yUkxjDPruUpB97AgepiZemuvKq11OCky7/UC1AX3pLhuvPaL8XVXQl86qje3njeQd2+byPXJ/Vm1r4CjRZV8ueUYU/69gvGPLibliaXM3ehWXnPrl8zIeAAGmpk6wCEP2fq+vDJ+/MIqxj26mOteS+fbHbmtWqfmHC2qZN2hIi4b3ZtuoVYenb8Tp1Oz4bDx/tpqnaQfPI691sklz60g5fFlnP/EMn42K50/fryFn81KZ39+Of2ijRFBvXqE1Q2hbQ9dKqgn9Ajj2aCD7I4fyCOpd6Dtdt5de4jcyDicSvGrH9/HCzvKOSvKSo1D89nc+vLFV5+t4MNMG3/PDsc2ZSpfrc8krlsIheV2Vu83as1aa95bc4jRMxfxg6eWc9Nb3zNj7jb+9c0uLnp6OS8u3YfTqal1OHlj5UGKK2uYvTaTXTlljOjdHdLTuXLRB6Q7IvnzE3P57avL2ZdfzoGCCl5aZhymf3/wOLtySsktqSY82EqP8KC6b2aft/kY5wzuSfhfHuTmGy+if2w4//p6FzMX7GX8ne/w8//7J3+7+E7eWrILgNlfbyJe1fDyEDv3xlVQ6YD/LNjU4JB805FiBvfsxlVj+6BUfY21rVw7h7svHMyV3as5UlTJnkX12fX+/DJ+/uZ3HCgoZ09uGUN7dSc6IoRBPbsxb3M2zyzaw7GSah7+cjt5OpjhJ7JAKSxofrJrBasGjOH4slUnLbekqoYDBRXGRUNmdjuiMJPdvQadlF2v3lfIta+u4U+fbOHdNYe45tU1fLMtl3s+2ABAr9zDddNeN74vB8udbP7FPXwe1p+Ux5fx9MI9vLc2s67c427D1ytZVVDLXWkfEDH1EpIjHazPLEJrja3WQX5pNdU1DuZtzuZns9L5S8xETvSIBasVHRJCmiWOsGALOSXVZJqlq8yho7FhYeT4EYQFW3n55+Mpt9Vy30ebOVJUicOp6RcTDikpDLw4hSMJSeglSzhc4WB3qYPwmmqe2VmBU8OEgbGMMy+sigoPxmJR9AhvXfml3FbLvf/dyPTPtqE19DTLLxOSYpg6KoG3xwQR/cKzddva4PhIZl45iu5hwVyf3A+A3/1vE7+bs4lgq4U/Tx3O2P7R/PHjLdz30WbjRK/bOYdM89zKwJ4RDDGD+sHC8pOOUjccLuKnr6dTWG7jz1OHAydfjLUtq4S3Vh2kyt4wmSqutPPGygM8+e1u3k/PbHK9v9hkZOZ/uexM7rloCIXldnbmlLLxyAlCrBbCgi2s2FPAgu05ZBdX8dsfnsET147mvdsm8uYtyRwrriKnpJq+e7ZCenpdpu7LCWpfdLlx6hf/aAJ3/+0dZiVfjS00nEX9Uph8IIP/27yQu655iBA0L734ax6YfA//OxHDXWeEYT/nXJ7eeIKYymoOxyQy/eK7ybdp/n31mTw8bwfzNh9jTL9o7v9kC8t255M6PJ7Lzkqkf2wEA+IiqLI7eGbOWp5bvJfInCwSzh7BsZJqevcI4+3Vhyi31TKidw9I+4Z71/yPWofmhQt+Dvk1PD4mggxrLLNWHCTzeCVfb80hIsRK/5gIEqPCUErRq4eR+ZRU1XDhMKMUEBpkZfqlI7j3v5vYr3ry0z1LuWzXKt6eeDXvDh3Hj19+h2W58dybPpeQFz5lxLRppB7vzXvjruC6Hcvpk5aGnjSJzUdPcOGweHpGhnJ2v2i+3pbDnRcObvIy7ApbLRmHT7Arp5RJg+PqrrZsyq6cUoIsijMO7aDXb2/ioTtmsfixWYzoEQQpKTwzJ521OTXMeG8NB21WUmM0PP44Z0Um81W2nd49wvjB0J58Yp4UHf6nX8HCGHj3Xa7avYrXJ13Pa70mUPrqYqy5Ofw+dQi9f3g+W7PMenp5DqxbA88/z4jsIFbYE7BNPIfQ9HScy9P4Z8+JvHPQZtR588r5dEMWY/tH89wwzUuvfMUXwy/gjPvugb7vQkoKPx6dyN/n7eAfX+1kW3YJyUkx/HnqcH7+1vd8ufkY4wfENFj/F9KPEVvp5OYN88FZQ3LhQeZV92PT0WJ+N2dTgy+MGBAbwYZiO9/85j1eDD5A7MSxFKwo5d6Lh/Dy8v2sPVDIoJ7d2HHM2FGO7GPcrmBYQnceufIsHvhsKz+bZQQ011jnceeeyXuHNrM0r4ZDcxdA3x/w2ueP8cvr/o7Dqhg3IJqIYCvhwVZiIoxg3D3s5PLL0aJKYrqF1H0Nnfu9W15Yspf5W3PqXje4p3GCNr57KLPOqIHJUzyOR+8XE8GFQ+NZsbeAySN68cpN4wkLtnL3hYN5Yek+Zq08yLzN2Qzt1Z3iBz4lqaYMR1Q0CbVWIkKCGBDbDatFcWDTHrj3J3XLyZm/mJvTykjoEcb7t59D/9gI3ly2l2PL10JYAaXjkrn1nXVsNI9Qvzt4nNd/MYEgqwWtNfd/vIWlbonN/03s3+BKT601n2/K5txBsfSLiah7bsXeAjIyixjdL4oeYUGk7clna1YxA7tZuC9jLpaLU2G4sf6vT4jgrjUnGP7Fh/DMGnrPmk9VjXHTuPa4v1CXC+qkpPDgI5rghbt5eWQqFg0P3P5Dhm8M4dGkCCL27WZQwRFu2LyQ+6/4I/MXb+ZwdTxZOoTZi57iuXN/xhcjU+lmhR+flci6Q0XM23yM9ZlF5Jfa+MeVo7glJanhTYnS03ltxtXccfkDPFk7hgGHt9A/NpynfzqGG974DjAvn05NRYWEcF/6/zgz/xAnukVx44sruHTBYpaHB7NgWw53XTiYxTvz2JNXxvlnGEPTXJk6wIXD4uv+vnx0Io4bNGf3i2bQvlhIiydi9Plcv7qMO7Y5UVGaGzZ/Czbj0O5P33/MDdfO5KpfPMObY5KIO1FFYbmdcWZAmpaSxP2fbOHaV9fy6k3jGdizW92yyqpruOrlNRw0h5GFB1v5+O4URpv1UhDvf+QAABoUSURBVIBNR05wRq9IuocFs/NYKUPiIwlbtYKw4nzGHtvLokET+W1aGrtLa/k2p4azcvezjjOAWkYsmA3fz2X8xKv46qLbefKnZzOmXxSLduZRUlXDiIvPhasvgltuYcTyNIZqK28dqCbCXk2tpTvz5ufym6PLKE/oA8DZ066F8mIjU3//G2ozKti/ZC2jrp3KcxOv552Us7llUCh/uf0itIadOSWM6hNF2DNP8dz8Z3l44atE11TVXcnZIyyYqaN68+WWY5zdL4q3ze/bnDyiF/O35vDXy8+sKzOsO1TEytruPLjxP3Rz1kBICBNTRsLyUm59Zx32mloeCjtG5cAhjDpnFD8c0Yt9+eX8bs4mflMyjMsqooBSpp03kM82ZrF2/3FuOjeJncdKCbFa6ka3APxsYn/iu4fy4NytACTFGUH9stGJPPvlVl78cjMhOo4z8w6Sengz93/3P/b93+11pZbkgTF14/5dj7nuSHmsuIqpz6+kd1QYc+6cRGZhBb+ds4kfDI3nF5MG8M6aTG48pz//uno0JVWN7unixRWxf738TM4ZFMtdFw6uu9w/yGrh/u5F3By+nbcTxnMgOJyz+0WxZn8hx4qqOXeQsUMLCbIwpl8Un+wr4G6sdDeX8+LyA9Q4e9YFdNLTSTx2iNzSfHjmHtI/WMDGI+Xcd8kwIkKs/OubXfxt3nYeveosluzKY+nufP5y2QgsSvHPr3dhq3Uagdu8QGzrmAs4WFjBXRcOBowd2Oi+USzakcuunDJuPX8gfaPDWb5nB5nHK/nbynexrPuiwY4tdddaMl55nO5VZWC1knBwN5BEXmm1BHVP1Hnn8afzziMp4yjVtU6GT0qCqT/gZoD0MHgyhMv2p/OP6nJ+SxIs2st51jIuvO82dJ6NWyth6pi+hAVbuWpsX+asO0qPMM3H96ScnJ2mp8PMmSibjScWvMiUO15hX1kIf7tiEOcOimXcgGg2HSnmzN49YIg50mHmTC5dsgScTrBaiVm7ko/uuheH1ozo3YPbzx/ETW99x+i+xrJcQT2hRyjDzVubAiiluGqsedK1p3HF2kQgOf1jMmISuWTf9/QtK4DgYLjlFs665RbmLk3ndueZXLOqlP7bjREhrsPwa21HiQk/xO8LB5P6TBojenfn8tGJ3HbBIB78bBuHiyp56cZxjOrTg5vfXsfts9fz0o3jiAoP5vkle1m4I49bUpJ4pFcZu/bmktI3EialQkgIUw58z5MXTmPNqO58uOoIkbYQ/vPR37j72odY1/8shuceAIeDGzd8zbkJYYw8HgvDUvjHlaP4cssxEsyjFVJSUCkpPJZZxLb3PuW6l/5MSXA4j06+k6dDJsGuAwyxVBNVXlwXUM7cvREYTlr6HraMSOXllJ9x45aF/KNHIir4EoD67840d7zR9qqTToj++uIhWBT89YqRdZnrlWP6sGB7LukHj5N9oop31hxib145cd1CuPnx38HqMZCayrBzJ9E9fRGl1bW88O0LXLV9WYP7hgxPSeGtaclc8dJqPso4ytn9oojvHkrKkDjSzBPYO3NKGdY78qT7nVw8oheL/nARu3NL60aaBFst/EYfZnqCcSXt79fMgUsu4Vczf9cguL5ww7i6oF6XqZtDJR/7ZhcOpyavpJprXllDQbmNuG6hzN2UxeebsogKD+aBqSOwWFTDgO4+nh88nlgemtCdoW7bc91rJ0+ml93OjLpAOBF7rZP5W48xxO0K0r//ZBTXvLKGZy+8hZlLZnGwVxIf18Zxc0pSXT+QlkZiqY2cyDiw2zm6dS/Qh1tSkojpFsKJSjuvph3g+4NFlNtqOTPR+Py5TuLaapywyWhThbbw7NUzCBk0lh+PTqxrx0XD4nl5+X5zO4oxSq1AOE5+umXxyTu21FR6PPpo3Un3hPFnwZoy3k/P5IcjejFhQCxREacuuHfJoO5yfXL/kx80h5CFp6Xx0bg+7C1zoB97jPMObETVVnLRkiU8ovpwkZkRnzsoltd/MYHkgTH1l/e7LuuOizNGLNhs4HTSq6qEZ5a8yju3/ZXrk/uhlOLRq85ixd6C+o0+JQVmzoRVqxpcAu6+cfeOCmPxfRdhMS/xdl2Nd+HQeK++qOE3ExO47btybtn8tfHBevnlug/ysJQUvqyw85/0wyzZlcfQXpF19X4mT+Ziu50FsX344un3WFkdzLOL9zJr5UHKbbVMv3QEPxljZMLv3jaR615dW3ckEhpkYUBsBIs2HeH3L91O7p1vM3LOmzDhPli6lMuXreWVKrhpbRkQzW+2ziWmppKnl73Oq/c+SXLBAbBYCKuxMfKr/8Giz2HpUq5OSeHqcX1PWseJA2OZOHU0PFVDVHkFby54lg23f8trheGkWMsbXGI/8OJJRC4q42lbIkz5DROzdvCPVe+h/r6w6Q6cNs343egmTSN69+D5G8Y1mPTiEb3oHhrEfR9tprDcztj+0Txw6XCuGN2HbnER8APj9gYW4J6LhmBZkWYEdNfQyFmzYPZsWLqU/ikpPP9/Y7ntvfX8cEQvwBh5M3djNqv3F7LzWCmTz+zVZJOjIoI517zoyOXaS87mpQ/2kBXViymHN8JHb5+ULce6BeOwYCshQRZKq2tIP3Cc+Vtz+P3koVw4LJ7b3l3HuYPieOXn49mWXcLf/7eePzj3E7O1e8N5ut9GwWo1xvM3d7Orxjxk+CFBFq4d36/BpGP7R3NzShKzuYy4c8eT3r0foaW64S0hUlPpvfp/bE4cBiEhZCUOIvKYg2gzaP556nDO7hfNc4v3cLzCzqybjVJMaJCx46yucUBaGllhUdx+zd/YH9ePh0OyG2TUFw1vGNR7RoaSnBTD+OAqonTNySOmGt3mY8SYZIbuW8sH3x3hg++O8O6tE7l4RNPvs19ordv9Z8KECbrdPPaY1lar1mD8fuyx5qdfu1br8HBj2qAgrS0W47UWi9ZTphjPe2PtWmNZXk6fMX+FLvjnk15Pn7dsdavm76kfNh05oX/x1nf693M2aofD2XAZJVV62a48/UnGUZ1ZWK4/yTiqk6bP169N+qlOmj5frxo0vkF/Hi+36flbjulnF+7WJSvM9s2aVf97ypT6/vTmvdDacz82enxvbqletCNXf/tZmi7/1xNN94v7exseXj9NC+/VA59s0UnT5+tnF+7WtY36yOMylDLWs4l13XmsRFfaarXWWueVVunRD3+rk6bP10nT5+t3Vx9suU/cLJ6bpu//6/vauWaNV+sy4dHF+sqXV+tJjy3R5z2+VFetWqP1Y4/pypVrtNPpbLgOjftJ69Z/nhprbt5NKKmy64ufWV7XP/9evOekaV58d6lOmj5fV702S9/+0H/11H8tOGmaWodT55dW1/0/b3O2Tpo+X+/LK9N67Vr98NRf66H3z9Wrhp1zUptqah36rIe/1Rc9tazp9fHyc1hSZdfrDh3XJVX2Fqf1BMjQLcTXwA/qrdyIGmy0FovWwcHev7a92thByzhebtODps/X43/7oU6aPl8XxiY0P5/Gy5w169SvZ3OaCkhe9EtZdY3enVPq/XLWrtX6nnu0Dg31al0Ly6r1e2sO6bvfz9DZJyp9WbP65bawLq4AecmzaXrT1yubnr65wO2PbbWVCU+tw6lLquz6RIWtfsfjxpVsHOo9SP/ojlf0L3/69xZ32N9uz9FJ0+fr7dnFWmut73t5kT7vwbn1SUij6WevPaQ/Wn/E53XwF2+Cepcuv3iluTseNr57XlO1wuefh+PH/Xe3xKbu2Nce909374e4uPox3c0tp1FbY7uFkDwolnWHIEHVEDf/c8/fBJOWZvSl+3odP95+d5/09s6IzfW9OY/IuDiGt2YbcN2x75ZbvFrXuMhQpp03kGnmRUwtrocnXmxHD0wdQUmVnevG9yPoqSebvi+N+2fAajX+f+ON+s+Br++h+7rMmOH1y6wWZZzk9dAXieb3EBwLi+JojwQuyNxSvy4e7rgZtn8PANWbtkCfC7FFxxF6otYotzYx/S0pAxuuh6c7eXaG701uKeqfip92zdQ9aS6LDAkxMi1/74Xdl+m+jPbI1JtqQ3PL8jDdmysP6KTp8/Wt73zf8utCQrzOVv2quXVsnGE1V5IJD29YfnM9315ZmqftxZvpvenvlj4DV19tvH9N9YG37Xf1U1u38aZeb85//8JVOmn6fP3medfrpOnz9TuTrq1fdlNHHGvX6vQzJuik6fP1msHjtb7nHn3HvxfqH8/4xLvSUjPzPdWfY9orU1dKXQq8AFiBt7TWT/hjvifx517QPaux2eDpp+tOiAJe3/vDa+YomrplNDqJ1m4ZbOP1njnT+Gm8TA9Z349GJvDPr3fVjaVudh3BOJE2YED7Zi7NZayN75Pt6UjONQ/Xejidxnr94Q+wZQvU1vp+v/WmjhCbeu/d16Px9tLUMptal+Y+M42nd18eQGWlsZ7ufeDtkWTjbHbatNYfjbq3vfF7+v77Rl/Y7SRGdIdff8C6638JuTX0f8BtBFDjIzNzGw2tMobu2rDArFlU3zCAsKHDvbvHvad74Xtx1Ncen4M2B3WllBV4BfgRkAWsV0p9qbXe2dZ5N+DNlxd4+2FxL7NobWysBw4Yf1ssxvzj4oyr2Foq2XjT7vffh3ffhZoaY1lKuU6h1b/5nu6d3paNobkShCvwLlliTOP+lV2Ny1Buh+BJx4/zxjnnMf78QQ3nD8b745qvqx9bMzKiuba31A/uz7f2Cyia+kKExv2klPF7/fqTv4wY6staLZVpGm/Hzz/v8ZC/rg2uL0B23148zd99XbwtE7iXQtz77brrjFFcjd/T5u406SkIN563K8B6eo/h5H5yvd5qhY0b69oVUVlGlKolo8wY6dM/ZXz9vFzl07i4Bp/DsLgBANiCgkFrqi1BhNXavS/VNjWdp+2u8Yihlr4er61aSuVb+gFSgIVu/88AZjT3Gp/KLy2ddff2pFzjQ9pzzjl5hIs3r23N4a37SAiLxVimN2WJthzOtVSCcB+JAkYbW3MI3riP7rmn4Qnm1owUaqntLZ1gbebQvE2HwK55NB6501R/eVuiaLwdT5nS8nbdipOuzS7LmzJBU+Up91FM3m6rTb1nzZVjmtue3E9qu/qiUX9P/deCuhEy5SvXND1vt8/hgbh+Omn6fP3F2ZO1tlr15be9qG97bqF369ZSCaxxP7m/D+7bjg/bJu1UfukLuN+OLQs4t/FESqm7gLsABgwY0PqltJR9Nc4MPvus6UOhxoeY48fDtm3185050/NhVGtPaLqmd2V2SkFoqJE9uJ5vLqtrywnUlkoQrrH0jbNA934Dz4fgjfsXGr4/TZV0vOXte9ncuvrjW6Pcs97Ro+uvPXDPtpoq0zT3XjXejl3ZsKftupUnXZtdljdlgqbKU94sr/E8PZ0Ud/1+/PHm32M4ue2uz6Bre7RY4JJLYOZMeu+2sru0gLhuIXRbvaLpebt9DkPNa0SqZ/wVDk2m2nEGYb0aXgfgcd28PVJy8eWIqy1aivot/QA/xaiju/6/GXi5udf4fKK0uezLl0zdU1bX0skzX05E+XLy9VRl6u7TNM4CG/ebp0y0pUysLfyRqZ8KTa1fcydUvZ3PqTzx2lyb/dlf/jxJ29z25GE5D35mXEtw5curvRoEUbh8tU6aPl/PXntIa631+U8s1ff9b5N/1s3TPHw94nKDF5m60q69l4+UUinATK31VPP/GebO4nFPr0lOTtYZGRltWm6TWlNTbynractrvZmPr+t0Kl7bUr+5X2HrXjM+lSd/2lJTb++hZJ76pzM7Ff3V1s+Gr9sr8OLSfTy3eC9XnJ3Iyz8f3+K8y221nPXwQh667EzuvHAwyf9cwo9GJvD4taP9s26taHtrKKU2aK2Tm53GD0E9CNgLTAaygfXAz7XWOzy95pQFdSHEaenjjKM88OlWfpU6hOmXjmhx+hqHk6EPLeD+Hw3jt5OHMvrhhfw0uR8P/2RUO7TWd94E9TbX1LXWtUqpe4GFGEMa32kuoAshhL+5LkDqb96auCXBVgtWi8JWa5wLqa51NHk76q7IL+PUtdbfAN/4Y15CCNFao/tGkZwUw3lDPJzsbEJokIXqGgcOp6bGoQkLkqAuhBCdQnRECJ/+6rxWvSY0yIKt1ln3VZNhwZYWXtE1BMZaCCFEK4UFW7HVOtyCemBk6hLUhRCnJaP84qTarKtLpi6EEF2YZOpCCBFAGtfUQwPkRKkEdSHEaSk0yEp1jYPqGim/CCFElxcabGTqNim/CCFE12dk6k6qayWoCyFEl2dk6lJ+EUKIgBAWZMVW43bxkZwoFUKIruvkTF2CuhBCdFmhQZaGmbqUX4QQousyLj6SE6VCCBEQQoMs2B1OquyOuv8DQWCshRBCtJIrMy+pqiE0yIJSqoNb5B8S1IUQpyVXZl5SVRMwpReQoC6EOE257vVSXFkTMCdJQYK6EOI05QrkkqkLIUQAcGXqpVU1AXPhEUhQF0Kcplw19eIqKb8IIUSX5yq5lFbVECrlFyGE6NpCzey81qmlpi6EEF2d+8VGYQFy4RFIUBdCnKbcs3PJ1IUQootrkKnLiVIhhOjaJFMXQogA0jBTl6AOgFJqplIqWym12fy5zF8NE0KIUynU7YKjQDpRGuSHefxba/2MH+YjhBDtxj1Tl3HqQgjRxVksihCrEQKl/NLQvUqprUqpd5RSMZ4mUkrdpZTKUEplFBQU+GGxQgjRNq5s/bQa/aKUWqKU2t7Ez1XAa8AQYCyQAzzraT5a6ze01sla6+T4+Hi/rYAQQvjKVXYJpBt6tVhT11pf4s2MlFJvAvPb3CIhhGgn9Zl64AT1to5+SXT79xpge9uaI4QQ7cd1/5dAKr+0dfTLU0qpsYAGMoG729wiIYRoJ66ySyBl6m0K6lrrm/3VECGEaG+BmKkHzpoIIUQruWrqoQF0olSCuhDitOUquwRS+UWCuhDitHVajlMXQohAJZm6EEIEEBmnLoQQAcR1gjSQ7tIYOGsihBCtFBZsIciiCLIGTij0x613hRCiS7p6XF8So8I7uhl+JUFdCHHaGtUnilF9ojq6GX4VOMccQgghJKgLIUQgkaAuhBABRIK6EEIEEAnqQggRQCSoCyFEAJGgLoQQAUSCuhBCBBCltW7/hSpVABz28eU9gUI/NsefpG2+kbb5Rtrmm67ctiStdXxzM+iQoN4WSqkMrXVyR7ejKdI230jbfCNt802gt03KL0IIEUAkqAshRADpikH9jY5uQDOkbb6RtvlG2uabgG5bl6upCyGE8KwrZupCCCE8kKAuhBABpEsFdaXUpUqpPUqp/UqpBzu4Lf2VUsuVUjuVUjuUUr83H49VSi1WSu0zf8d0UPusSqlNSqn55v+DlFLfm333kVIqpCPaZbYlWin1qVJqt1Jql1IqpRP1233m+7ldKTVHKRXWUX2nlHpHKZWvlNru9liT/aQML5pt3KqUGt8BbXvafE+3KqU+V0pFuz03w2zbHqXU1PZum9tz9yultFKqp/l/h/eb+fhvzb7boZR6yu3x1veb1rpL/ABW4AAwGAgBtgAjO7A9icB48+/uwF5gJPAU8KD5+IPAkx3Uvj8C/wXmm/9/DNxg/v068KsO7LvZwC/Nv0OA6M7Qb0Bf4BAQ7tZnt3ZU3wEXAuOB7W6PNdlPwGXAAkABk4DvO6BtU4Ag8+8n3do20vy8hgKDzM+xtT3bZj7eH1iIceFjz07UbxcDS4BQ8/9ebem3dv3QtLEzUoCFbv/PAGZ0dLvc2jMP+BGwB0g0H0sE9nRAW/oBS4EfAvPNDbbQ7QPXoC/buW1RZuBUjR7vDP3WFzgKxGJ81eN8YGpH9h0wsFEAaLKfgFnAjU1N115ta/TcNcCH5t8NPqtmYE1p77YBnwJjgEy3oN7h/YaRNFzSxHQ+9VtXKr+4PnAuWeZjHU4pNRAYB3wPJGitc8yncoGEDmjS88ADgNP8Pw4o1lrXmv93ZN8NAgqAd83y0FtKqW50gn7TWmcDzwBHgBygBNhA5+k78NxPne3zcTtGBgydoG1KqauAbK31lkZPdXjbgGHAD8wS3wql1MS2tK0rBfVOSSkVCXwG/EFrXer+nDZ2r+06ZlQpdQWQr7Xe0J7LbYUgjMPP17TW44AKjDJCnY7oNwCzPn0Vxo6nD9ANuLS92+GtjuqnliilHgJqgQ87ui0ASqkI4C/A3zu6LR4EYRwdTgL+DHyslFK+zqwrBfVsjJqYSz/zsQ6jlArGCOgfaq3nmg/nKaUSzecTgfx2btb5wJVKqUzgfxglmBeAaKVUkDlNR/ZdFpCltf7e/P9TjCDf0f0GcAlwSGtdoLWuAeZi9Gdn6Tvw3E+d4vOhlLoVuAK4ydzpQMe3bQjGjnqL+bnoB2xUSvXuBG0D4zMxVxvWYRxh9/S1bV0pqK8HhpojEUKAG4AvO6ox5p70bWCX1vo5t6e+BKaZf0/DqLW3G631DK11P631QIw+Wqa1vglYDvy0o9rl1r5c4KhSarj50GRgJx3cb6YjwCSlVIT5/rra1in6zuSpn74EbjFHc0wCStzKNO1CKXUpRtnvSq11pdtTXwI3KKVClVKDgKHAuvZql9Z6m9a6l9Z6oPm5yMIY5JBLJ+g34AuMk6UopYZhDB4oxNd+O5UnBE7BCYbLMEaZHAAe6uC2XIBx6LsV2Gz+XIZRv14K7MM4ox3bgW1MpX70y2Bzg9gPfIJ5pr2D2jUWyDD77gsgprP0G/APYDewHfgPxsiDDuk7YA5Gbb8GIxDd4amfME6Gv2J+NrYByR3Qtv0YNWDX5+F1t+kfMtu2B/hxe7et0fOZ1J8o7Qz9FgJ8YG5zG4EftqXf5DYBQggRQLpS+UUIIUQLJKgLIUQAkaAuhBABRIK6EEIEEAnqQggRQCSoCyFEAJGgLoQQAeT/ATIEZz+wuO4gAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rxHmctBJmrUe",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337
        },
        "outputId": "ea47efa6-7651-4da7-af82-420fc398b6e8"
      },
      "source": [
        "plt.subplots(figsize=(12,5))\n",
        "sns.kdeplot(y_train, shade=True, label='Train')\n",
        "sns.kdeplot(y_test, shade = True, label= 'Test')\n",
        "plt.legend( prop={'size': 30})"
      ],
      "execution_count": 68,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7f1421ff00b8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 68
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MsrNyBLOZ_Hi",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337
        },
        "outputId": "bb84433d-fcb6-47c2-fe16-5c937609de08"
      },
      "source": [
        "plt.subplots(figsize=(12,5))\n",
        "sns.kdeplot(pred_list[3], shade=True, label='Pred')\n",
        "sns.kdeplot(y_test, shade = True, label= 'Test')\n",
        "plt.legend( prop={'size': 30})"
      ],
      "execution_count": 69,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7f1422033860>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 69
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3ZMT4YsqaDT_",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}