05_model_predicts_training_set.ipynb

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  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "05_model_predicts_training_set.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
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  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "tZr9CBGvRp1F",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "Y_pred_train = model.predict(X_train)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0x3saPCyRtJP",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 85
        },
        "outputId": "68235d8c-e66a-4acb-e4d3-83ef26e92629"
      },
      "source": [
        "print('Coefficients:', model.coef_)\n",
        "print('Intercept:', model.intercept_)\n",
        "print('Mean squared error (MSE): %.2f'\n",
        "      % mean_squared_error(Y_train, Y_pred_train))\n",
        "print('Coefficient of determination (R^2): %.2f'\n",
        "      % r2_score(Y_train, Y_pred_train))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Coefficients: [-0.76779153 -0.00668131  0.00654032 -0.36959403]\n",
            "Intercept: 0.3108998121270652\n",
            "Mean squared error (MSE): 1.01\n",
            "Coefficient of determination (R^2): 0.77\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}