{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9zrJnqZh4FML"
      },
      "source": [
        "# Supervised learning using scikit-learn"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KlQQ_UhH4FMR"
      },
      "source": [
        "The goal of this tutorial is to introduce you to the scikit libraries for classification. We will also cover feature selection, and evaluation."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 41,
      "metadata": {
        "id": "fUtz4jiQ4FMT"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import scipy.sparse as sp_sparse\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "import sklearn as sk\n",
        "import sklearn.datasets as sk_data\n",
        "import sklearn.metrics as metrics\n",
        "\n",
        "import seaborn as sns\n",
        "\n",
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_TKuY18r4FMV"
      },
      "source": [
        "## Feature Selection\n",
        "\n",
        "Feature selection is about finding the best features for your classifier. This may be important if you do not have enough training data. The idea is to find metrics that either characterize the features by themselves, or with respect to the class we want to predict, or with respect to other features.\n",
        "\n",
        "http://scikit-learn.org/stable/modules/feature_selection.html"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dTgHeiTs4FMW"
      },
      "source": [
        "#### Variance Threshold\n",
        "\n",
        "The **VarianceThreshold** selection drops features whose variance is below some threshold. If we have binary features we can estimate the treshold exactly so as to guarantee a specific ratio of 0's and 1's"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 42,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yHaAN_T04FMX",
        "outputId": "d423f246-ae6f-4848-cd82-5074d9f2d3bf"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[0 0 1]\n",
            " [0 1 0]\n",
            " [1 0 0]\n",
            " [0 1 1]\n",
            " [0 1 0]\n",
            " [0 1 1]]\n",
            "\n",
            "\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0, 1],\n",
              "       [1, 0],\n",
              "       [0, 0],\n",
              "       [1, 1],\n",
              "       [1, 0],\n",
              "       [1, 1]])"
            ]
          },
          "metadata": {},
          "execution_count": 42
        }
      ],
      "source": [
        "from sklearn.feature_selection import VarianceThreshold\n",
        "X = [[0, 0, 1], [0, 1, 0], [1, 0, 0], [0, 1, 1], [0, 1, 0], [0, 1, 1]]\n",
        "print(np.array(X))\n",
        "print('\\n')\n",
        "sel = VarianceThreshold(threshold=(0.8*(1 - .8)))  # p*(1-p) = 0.16 , p = 0.5 = MaxVariance (for binary)\n",
        "sel.fit_transform(X)                               # Here we set Threshold at p = 0.8"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "t18XF4Q0_xum"
      },
      "source": [
        "What happended in this example? Which feature was removed and why?"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Nn-ehQ814FMY",
        "outputId": "a74b1d56-0950-4678-87f3-28bc042c96f2"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[4.9 3.  1.4 0.2]\n",
            " [4.7 3.2 1.3 0.2]\n",
            " [4.6 3.1 1.5 0.2]\n",
            " [5.  3.6 1.4 0.2]\n",
            " [5.4 3.9 1.7 0.4]\n",
            " [4.6 3.4 1.4 0.3]\n",
            " [5.  3.4 1.5 0.2]\n",
            " [4.4 2.9 1.4 0.2]\n",
            " [4.9 3.1 1.5 0.1]]\n",
            "\n",
            "Variance of the Features:\n",
            "[0.68112222 0.18871289 3.09550267 0.57713289]\n",
            "\n",
            "Data after applying Variance Threshold:\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[4.9, 1.4, 0.2],\n",
              "       [4.7, 1.3, 0.2],\n",
              "       [4.6, 1.5, 0.2],\n",
              "       [5. , 1.4, 0.2],\n",
              "       [5.4, 1.7, 0.4],\n",
              "       [4.6, 1.4, 0.3],\n",
              "       [5. , 1.5, 0.2],\n",
              "       [4.4, 1.4, 0.2],\n",
              "       [4.9, 1.5, 0.1]])"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ],
      "source": [
        "import sklearn.datasets as sk_data\n",
        "\n",
        "iris = sk_data.load_iris()\n",
        "X = iris.data\n",
        "print(X[1:10,:])\n",
        "print('\\nVariance of the Features:')\n",
        "print(X.var(axis = 0))\n",
        "sel = VarianceThreshold(threshold=0.2)\n",
        "print('\\nData after applying Variance Threshold:')\n",
        "sel.fit_transform(X)[1:10]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "srpZqGDUBocU"
      },
      "source": [
        "Is it always a good idea to remove low variance features? Can we think of a counterexample?"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "B2GIGTSu4FMa"
      },
      "source": [
        "#### Univariate Feature Selection ####\n",
        "\n",
        "A more sophisticated feature selection technique uses a test to determine if a feature and the class label are independent. An example of such a test is the [chi-square test](https://en.wikipedia.org/wiki/Chi-squared_test) (there are more as we have seen when studying statistics)\n",
        "\n",
        "In this case we keep the features with high chi-square score and low p-value.\n",
        "\n",
        "The features with the lowest scores and highest p-values are rejected.\n",
        "\n",
        "The chi-square test is usually applied on categorical data."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BXOfl8bU4FMa",
        "outputId": "6a45e5a6-57b9-45e3-94a5-b5a6fd1ac729"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(150, 4)\n",
            "\n",
            "Features:\n",
            "[[4.9 3.  1.4 0.2]\n",
            " [4.7 3.2 1.3 0.2]\n",
            " [4.6 3.1 1.5 0.2]\n",
            " [5.  3.6 1.4 0.2]\n",
            " [5.4 3.9 1.7 0.4]\n",
            " [4.6 3.4 1.4 0.3]\n",
            " [5.  3.4 1.5 0.2]\n",
            " [4.4 2.9 1.4 0.2]\n",
            " [4.9 3.1 1.5 0.1]]\n",
            "\n",
            "Labels:\n",
            "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
            " 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
            " 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2\n",
            " 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2\n",
            " 2 2]\n",
            "\n",
            "Selected Features:\n",
            "[[1.4 0.2]\n",
            " [1.3 0.2]\n",
            " [1.5 0.2]\n",
            " [1.4 0.2]\n",
            " [1.7 0.4]\n",
            " [1.4 0.3]\n",
            " [1.5 0.2]\n",
            " [1.4 0.2]\n",
            " [1.5 0.1]]\n"
          ]
        }
      ],
      "source": [
        "from sklearn.feature_selection import SelectKBest\n",
        "from sklearn.feature_selection import chi2\n",
        "\n",
        "iris = sk_data.load_iris()\n",
        "X, y = iris.data, iris.target\n",
        "print(X.shape)\n",
        "print('\\nFeatures:')\n",
        "print(X[1:10,:])\n",
        "print('\\nLabels:')\n",
        "print(y)\n",
        "sel = SelectKBest(chi2, k=2)     # Select the top k=2 features with the highest chi-square scores\n",
        "X_new = sel.fit_transform(X, y)  # Now with chi2 we NEED the targets y to apply it\n",
        "print('\\nSelected Features:')\n",
        "print(X_new[1:10])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TKUfXT6q4FMb"
      },
      "source": [
        "The chi-square values and the p-values between features and target variable (X columns and y)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fs2vRzcr4FMc",
        "outputId": "74be0688-9390-406f-a01c-1d76b6fa3b89"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Chi2 values\n",
            "[ 10.81782088   3.7107283  116.31261309  67.0483602 ]\n",
            "\n",
            "Chi2 values\n",
            "[ 10.81782088   3.7107283  116.31261309  67.0483602 ]\n",
            "\n",
            "p-values\n",
            "[4.47651499e-03 1.56395980e-01 5.53397228e-26 2.75824965e-15]\n"
          ]
        }
      ],
      "source": [
        "print('Chi2 values')\n",
        "print(sel.scores_)\n",
        "c,p = sk.feature_selection.chi2(X, y)\n",
        "print('\\nChi2 values')\n",
        "print(c) #The chi-square value between X columns and y\n",
        "print('\\np-values')\n",
        "print(p) #The p-value for the test"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HdRP-GEt4FMc"
      },
      "source": [
        "## Supervised Learning\n",
        "\n",
        "Python has several classes and objects for implementing different supervised learning techniques such as Regression and Classification.\n",
        "\n",
        "Regardless of the model being implemented, the following methods are implemented:\n",
        "\n",
        "The method **fit()** takes the training data and labels/values, and trains the model\n",
        "\n",
        "The method **predict()** takes as input the test data and applies the model."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BZ4yJ8ST4FMv"
      },
      "source": [
        "## Linear Regression\n",
        "\n",
        "Linear Regression is implemented in the library sklearn.linear_model.\n",
        "\n",
        "LinearRegression: https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Before we dive into Classification (by classifying flowers), let's start with the simplest form of Supervised Learning: **Linear Regression**.\n",
        "\n",
        "What is Supervised Learning?\n",
        "\n",
        "Imagine teaching a child. You show them flashcards:\n",
        "* **Input (X):** A picture of a cat.\n",
        "* **Answer (y):** \"Cat\".\n",
        "* **Input (X):** A picture of a dog.\n",
        "* **Answer (y):** \"Dog\".\n",
        "\n",
        "Over time, the child learns to associate the **Input** with the **Answer**. In Machine Learning:\n",
        "* **Regression:** The answer is a **Number** (e.g., Price, Temperature, Salary).\n",
        "* **Classification:** The answer is a **Label** (e.g., Cat, Dog, Spam, Not Spam).\n",
        "\n",
        "The Task: \"Study Time vs. Grades\"\n",
        "\n",
        "We will create a tiny dataset to predict a student's **Test Score (y)** based on how many **Hours they Studied (X)**."
      ],
      "metadata": {
        "id": "9nZUmPGztpCT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# 1. Prepare the Data\n",
        "# X = Input Feature (Hours Studied)\n",
        "X_hours = np.array([1, 2, 3, 4, 5]).reshape(-1, 1)\n",
        "\n",
        "# y = Target Label (Test Score)\n",
        "# We add some \"noise\" so they don't fall on a perfect line.\n",
        "# Perfect world: [60, 70, 80, 90, 100]\n",
        "# Real world:\n",
        "y_scores = np.array([58, 74, 78, 92, 96])\n",
        "\n",
        "print(\"Inputs (X):\\n\", X_hours)\n",
        "print(\"Targets (y):\\n\", y_scores)\n",
        "\n",
        "# 2. Visualize the Data\n",
        "plt.figure(figsize=(6,4))\n",
        "plt.scatter(X_hours, y_scores, color='blue', s=100, label='Actual Students')\n",
        "plt.title(\"Study Hours vs. Test Scores (Real Data)\")\n",
        "plt.xlabel(\"Hours Studied\")\n",
        "plt.ylabel(\"Test Score\")\n",
        "plt.grid(True)\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 549
        },
        "id": "wkkZsuCCuVJ4",
        "outputId": "d0a76792-8fad-477e-89c0-e30582e79e8c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Inputs (X):\n",
            " [[1]\n",
            " [2]\n",
            " [3]\n",
            " [4]\n",
            " [5]]\n",
            "Targets (y):\n",
            " [58 74 78 92 96]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 600x400 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Training the Model:\n",
        "\n",
        "The \"Line of Best Fit\"\n",
        "Notice that the points **do not** form a perfect straight line.\n",
        "\n",
        "Linear Regression cannot touch every point. Instead, it tries to find the **\"Best Fit\"** line—the line that is close to *everyone* on average, minimizing the total error (distance) between the points and the line."
      ],
      "metadata": {
        "id": "ciYrdlUHwr8Q"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.linear_model import LinearRegression\n",
        "\n",
        "# 1. Instantiate\n",
        "reg = LinearRegression()\n",
        "\n",
        "# 2. Fit (Find the best line through the mess)\n",
        "reg.fit(X_hours, y_scores)\n",
        "\n",
        "# 3. Inspect the model\n",
        "print(f\"Coefficient (Slope): {reg.coef_[0]:.2f}\")\n",
        "print(f\"Intercept (Bias):   {reg.intercept_:.2f}\")\n",
        "\n",
        "# The Equation\n",
        "print(f\"\\nModel Equation: Score = {reg.coef_[0]:.2f} * Hours + {reg.intercept_:.2f}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dydQyRMuw0Rr",
        "outputId": "ba704d7c-0adb-43ae-a51e-6f492baeed0d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Coefficient (Slope): 9.40\n",
            "Intercept (Bias):   51.40\n",
            "\n",
            "Model Equation: Score = 9.40 * Hours + 51.40\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Question: What grade would we expect for a student that studied 3.5 hours??"
      ],
      "metadata": {
        "id": "bcAbSoldxVm_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# 1. Predict for a new value (3.5 hours)\n",
        "new_X = np.array([[3.5]])\n",
        "prediction = reg.predict(new_X)\n",
        "\n",
        "print(f\"Prediction: If you study for 3.5 hours, you will get a score of: {prediction[0]:.2f}\")\n",
        "\n",
        "# 2. Visualize the Result\n",
        "plt.figure(figsize=(8,5))\n",
        "\n",
        "# Plot actual data points\n",
        "plt.scatter(X_hours, y_scores, color='blue', s=100, label='Actual Data')\n",
        "\n",
        "# Plot the model's line\n",
        "# We predict on the original X to draw the red line\n",
        "plt.plot(X_hours, reg.predict(X_hours), color='red', linewidth=2, label='Line of Best Fit')\n",
        "\n",
        "# Plot the new prediction\n",
        "plt.scatter(new_X, prediction, color='green', marker='*', s=300, zorder=5, label='Prediction (3.5 hrs)')\n",
        "\n",
        "# Visual Trick: Draw vertical lines to show the \"Error\" (Residuals)\n",
        "for i in range(len(X_hours)):\n",
        "    plt.plot([X_hours[i], X_hours[i]], [y_scores[i], reg.predict(X_hours)[i]], 'k--', alpha=0.3)\n",
        "\n",
        "plt.title(\"Linear Regression: Minimizing the Error\")\n",
        "plt.xlabel(\"Hours Studied\")\n",
        "plt.ylabel(\"Test Score\")\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 504
        },
        "id": "WKcbWjhnw7U1",
        "outputId": "4f231995-7cdb-4b60-a4d2-41cd88e1d2f1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Prediction: If you study for 3.5 hours, you will get a score of: 84.30\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CKOt0bXp4FMy"
      },
      "source": [
        "The [$R^2$ score](https://en.wikipedia.org/wiki/Coefficient_of_determination) computes the \"explained variance\"\n",
        "\n",
        "$R^2 = 1-\\frac{\\sum_i (y_i -\\hat y_i)^2}{\\sum_i (y_i -\\bar y)^2}$\n",
        "\n",
        "where $\\hat y_i$ is the prediction for point $x_i$ and $\\bar y$ is the mean value of the target variable"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "r2_score = reg.score(X_hours, y_scores)\n",
        "\n",
        "print(f\"R² Score: {r2_score:.4f}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SVbYRHvgykWn",
        "outputId": "485ae56f-9361-42d3-b33e-04386f9446fe"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "R² Score: 0.9571\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6lW6seQd4FMd"
      },
      "source": [
        "## Preparing the data\n",
        "\n",
        "To perform classification we first need to prepare the data into train and test datasets."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3SDDtyTO4FMd",
        "outputId": "d635793f-8e9e-43ba-fba8-3a9b6b2afad3"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "sample of data\n",
            "[[5.1 3.5 1.4 0.2]\n",
            " [4.9 3.  1.4 0.2]\n",
            " [4.7 3.2 1.3 0.2]\n",
            " [4.6 3.1 1.5 0.2]\n",
            " [5.  3.6 1.4 0.2]]\n",
            "\n",
            "the class labels vector\n",
            "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
            " 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
            " 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2\n",
            " 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2\n",
            " 2 2]\n",
            "\n",
            "the names of the classes: ['setosa' 'versicolor' 'virginica']\n",
            "['sepal length (cm)', 'sepal width (cm)', 'petal length (cm)', 'petal width (cm)']\n"
          ]
        }
      ],
      "source": [
        "from sklearn.datasets import load_iris\n",
        "import sklearn.utils as utils\n",
        "\n",
        "iris = load_iris()\n",
        "print(\"sample of data\")\n",
        "print(iris.data[:5,:])\n",
        "print(\"\\nthe class labels vector\")\n",
        "print(iris.target)\n",
        "print(\"\\nthe names of the classes:\",iris.target_names)\n",
        "print(iris.feature_names)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Qd9P6BOv4FMe"
      },
      "source": [
        "Randomly shuffle the data. This is useful to know that the data is in random order"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ma7z0rx-4FMe",
        "outputId": "c5b3ec3a-2ed3-42c5-a60f-1a76caef1ada"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(150, 4)\n",
            "(150,)\n",
            "[0 1 1 0 2 1 2 0 0 2 1 0 2 1 1 0 1 1 0 0 1 1 1 0 2 1 0 0 1 2 1 2 1 2 2 0 1\n",
            " 0 1 2 2 0 2 2 1 2 0 0 0 1 0 0 2 2 2 2 2 1 2 1 0 2 2 0 0 2 0 2 2 1 1 2 2 0\n",
            " 1 1 2 1 2 1 0 0 0 2 0 1 2 2 0 0 1 0 2 1 2 2 1 2 2 1 0 1 0 1 1 0 1 0 0 2 2\n",
            " 2 0 0 1 0 2 0 2 2 0 2 0 1 0 1 1 0 0 1 0 1 1 0 1 1 1 1 2 0 0 2 1 2 1 2 2 1\n",
            " 2 0]\n"
          ]
        }
      ],
      "source": [
        "X, y = utils.shuffle(iris.data, iris.target, random_state=1) #shuffle the data\n",
        "print(X.shape)\n",
        "print(y.shape)\n",
        "print(y)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_wToV_SV4FMf"
      },
      "source": [
        "Select a subset for training and a subset for testing"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IhHVUhA84FMf",
        "outputId": "7e5cb638-85f3-461d-d756-6f6dadf7d6d7"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(100, 4) (100,)\n",
            "(50, 4) (50,)\n"
          ]
        }
      ],
      "source": [
        "train_set_size = 100\n",
        "X_train = X[:train_set_size]  # selects first 100 rows (samples) for train set\n",
        "y_train = y[:train_set_size]\n",
        "X_test = X[train_set_size:]   # selects from row 100 until the last one for test set\n",
        "y_test = y[train_set_size:]\n",
        "print(X_train.shape, y_train.shape)\n",
        "print(X_test.shape, y_test.shape)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yFh5nUCM4FMg"
      },
      "source": [
        "We can also use the <a href = \"https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html#sklearn.model_selection.train_test_split\">train_test_split function</a> of python for splitting the data into train and test sets. In this case you do not need the random shuffling (but it does not hurt)."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "995NgTKX4FMg"
      },
      "outputs": [],
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.4, random_state=0)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RH3KFv_r4FMh"
      },
      "source": [
        "## Classification models\n",
        "\n",
        "http://scikit-learn.org/stable/supervised_learning.html#supervised-learning\n",
        "\n",
        "Python has classes and objects that implement the different classification techniques that we described in class."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cgmewWQ24FMh"
      },
      "source": [
        "### Decision Trees\n",
        "http://scikit-learn.org/stable/modules/tree.html\n",
        "\n",
        "Train and apply a decision tree classifier. The default score computed in the classifier object is the accuracy. Decision trees can also give us probabilities"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Discrete Mathematics: Elementary and Beyond (2003) by László Lovász, József Pelikán, and Katalin Vesztergombi. Chapter 8:\n",
        "\n",
        "![image.png](data:image/png;base64,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)"
      ],
      "metadata": {
        "id": "frHA3WQYTvvT"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xcOKlaW14FMh",
        "outputId": "7e622b48-3354-48bc-b32c-956b77bc9f41"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "classifier accuracy: 0.9166666666666666\n",
            "\n",
            "classifier predictions: [2 2 2 0 0 0 2 2 2 2]\n",
            "ground truth labels   : [1 2 2 0 0 0 2 2 2 2]\n",
            "\n",
            "\n",
            "[[0. 0. 1.]\n",
            " [0. 0. 1.]\n",
            " [0. 0. 1.]\n",
            " [1. 0. 0.]\n",
            " [1. 0. 0.]\n",
            " [1. 0. 0.]\n",
            " [0. 0. 1.]\n",
            " [0. 0. 1.]\n",
            " [0. 0. 1.]\n",
            " [0. 0. 1.]]\n"
          ]
        }
      ],
      "source": [
        "from sklearn import tree\n",
        "\n",
        "dtree = tree.DecisionTreeClassifier() # max_depth=None, No fixed randomness for handling Tied Splits (random_state = 0)\n",
        "dtree = dtree.fit(X_train, y_train)\n",
        "\n",
        "print(\"classifier accuracy:\",dtree.score(X_test,y_test))\n",
        "\n",
        "y_pred = dtree.predict(X_test)\n",
        "y_prob = dtree.predict_proba(X_test)\n",
        "print(\"\\nclassifier predictions:\",y_pred[:10])\n",
        "print(\"ground truth labels   :\",y_test[:10])\n",
        "print('\\n')\n",
        "print(y_prob[:10])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5moY4RPQiEjn"
      },
      "source": [
        "Why does y_prob have only 0 and 1 entries?"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TMwMwm-N4FMi"
      },
      "source": [
        "Compute some more metrics"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vvwZnCaY4FMi",
        "outputId": "9006a74e-ede6-453f-e7ab-641d1c71dad8"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "accuracy: 0.9166666666666666\n",
            "\n",
            "Confusion matrix\n",
            "[[20  0  0]\n",
            " [ 0 15  4]\n",
            " [ 0  1 20]]\n",
            "\n",
            "Precision Score per class\n",
            "[1.         0.9375     0.83333333]\n",
            "\n",
            "Average Precision Score\n",
            "0.921875\n",
            "\n",
            "Recall Score per class\n",
            "[1.         0.78947368 0.95238095]\n",
            "\n",
            "Average Recall Score\n",
            "0.9166666666666666\n",
            "\n",
            "F1-score Score per class\n",
            "[1.         0.85714286 0.88888889]\n",
            "\n",
            "Average F1 Score\n",
            "0.9158730158730158\n"
          ]
        }
      ],
      "source": [
        "print(\"accuracy:\",metrics.accuracy_score(y_test,y_pred))\n",
        "print(\"\\nConfusion matrix\")\n",
        "print(metrics.confusion_matrix(y_test,y_pred))\n",
        "print(\"\\nPrecision Score per class\")\n",
        "print(metrics.precision_score(y_test,y_pred,average=None))\n",
        "print(\"\\nAverage Precision Score\")\n",
        "print(metrics.precision_score(y_test,y_pred,average='weighted'))\n",
        "print(\"\\nRecall Score per class\")\n",
        "print(metrics.recall_score(y_test,y_pred,average=None))\n",
        "print(\"\\nAverage Recall Score\")\n",
        "print(metrics.recall_score(y_test,y_pred,average='weighted'))\n",
        "print(\"\\nF1-score Score per class\")\n",
        "print(metrics.f1_score(y_test,y_pred,average=None))\n",
        "print(\"\\nAverage F1 Score\")\n",
        "print(metrics.f1_score(y_test,y_pred,average='weighted'))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5WlHd5i34FMi"
      },
      "source": [
        "Visualize the decision tree.\n",
        "\n",
        "For this you will need to install the package python-graphviz"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 952
        },
        "id": "tCcylWxW4FMj",
        "outputId": "ae9e29ae-86ae-4c96-8b2f-238b37e14e06",
        "scrolled": false
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['sepal length (cm)', 'sepal width (cm)', 'petal length (cm)', 'petal width (cm)']\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "image/svg+xml": "<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<!-- Generated by graphviz version 2.43.0 (0)\n -->\n<!-- Title: Tree Pages: 1 -->\n<svg width=\"415pt\" height=\"685pt\"\n viewBox=\"0.00 0.00 415.00 685.00\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n<g id=\"graph0\" class=\"graph\" transform=\"scale(1 1) rotate(0) translate(4 681)\">\n<title>Tree</title>\n<polygon fill=\"white\" stroke=\"transparent\" points=\"-4,4 -4,-681 411,-681 411,4 -4,4\"/>\n<!-- 0 -->\n<g id=\"node1\" class=\"node\">\n<title>0</title>\n<polygon fill=\"none\" stroke=\"black\" points=\"219.5,-677 53.5,-677 53.5,-609 219.5,-609 219.5,-677\"/>\n<text text-anchor=\"middle\" x=\"136.5\" y=\"-661.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">x[3] &lt;= 0.75</text>\n<text text-anchor=\"middle\" x=\"136.5\" y=\"-646.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.666</text>\n<text text-anchor=\"middle\" x=\"136.5\" y=\"-631.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 90</text>\n<text text-anchor=\"middle\" x=\"136.5\" y=\"-616.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [30.0, 31.0, 29.0]</text>\n</g>\n<!-- 1 -->\n<g id=\"node2\" class=\"node\">\n<title>1</title>\n<polygon fill=\"none\" stroke=\"black\" points=\"117,-565.5 0,-565.5 0,-512.5 117,-512.5 117,-565.5\"/>\n<text text-anchor=\"middle\" x=\"58.5\" y=\"-550.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\n<text text-anchor=\"middle\" x=\"58.5\" y=\"-535.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 30</text>\n<text text-anchor=\"middle\" x=\"58.5\" y=\"-520.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [30, 0, 0]</text>\n</g>\n<!-- 0&#45;&gt;1 -->\n<g id=\"edge1\" class=\"edge\">\n<title>0&#45;&gt;1</title>\n<path fill=\"none\" stroke=\"black\" d=\"M111.18,-608.88C102.51,-597.56 92.82,-584.88 84.13,-573.52\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"86.87,-571.34 78.02,-565.52 81.31,-575.59 86.87,-571.34\"/>\n<text text-anchor=\"middle\" x=\"74.71\" y=\"-586.6\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">True</text>\n</g>\n<!-- 2 -->\n<g id=\"node3\" class=\"node\">\n<title>2</title>\n<polygon fill=\"none\" stroke=\"black\" points=\"293.5,-573 135.5,-573 135.5,-505 293.5,-505 293.5,-573\"/>\n<text text-anchor=\"middle\" x=\"214.5\" y=\"-557.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">x[2] &lt;= 4.75</text>\n<text text-anchor=\"middle\" x=\"214.5\" y=\"-542.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.499</text>\n<text text-anchor=\"middle\" x=\"214.5\" y=\"-527.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 60</text>\n<text text-anchor=\"middle\" x=\"214.5\" y=\"-512.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0.0, 31.0, 29.0]</text>\n</g>\n<!-- 0&#45;&gt;2 -->\n<g id=\"edge2\" class=\"edge\">\n<title>0&#45;&gt;2</title>\n<path fill=\"none\" stroke=\"black\" d=\"M161.82,-608.88C168.5,-600.15 175.79,-590.62 182.75,-581.51\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"185.74,-583.37 189.04,-573.3 180.18,-579.12 185.74,-583.37\"/>\n<text text-anchor=\"middle\" x=\"192.34\" y=\"-594.38\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">False</text>\n</g>\n<!-- 3 -->\n<g id=\"node4\" class=\"node\">\n<title>3</title>\n<polygon fill=\"none\" stroke=\"black\" points=\"206,-461.5 89,-461.5 89,-408.5 206,-408.5 206,-461.5\"/>\n<text text-anchor=\"middle\" x=\"147.5\" y=\"-446.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\n<text text-anchor=\"middle\" x=\"147.5\" y=\"-431.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 29</text>\n<text text-anchor=\"middle\" x=\"147.5\" y=\"-416.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 29, 0]</text>\n</g>\n<!-- 2&#45;&gt;3 -->\n<g id=\"edge3\" class=\"edge\">\n<title>2&#45;&gt;3</title>\n<path fill=\"none\" stroke=\"black\" d=\"M192.75,-504.88C185.45,-493.78 177.3,-481.37 169.95,-470.18\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"172.68,-467.96 164.26,-461.52 166.83,-471.8 172.68,-467.96\"/>\n</g>\n<!-- 4 -->\n<g id=\"node5\" class=\"node\">\n<title>4</title>\n<polygon fill=\"none\" stroke=\"black\" points=\"341,-469 224,-469 224,-401 341,-401 341,-469\"/>\n<text text-anchor=\"middle\" x=\"282.5\" y=\"-453.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">x[3] &lt;= 1.7</text>\n<text text-anchor=\"middle\" x=\"282.5\" y=\"-438.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.121</text>\n<text text-anchor=\"middle\" x=\"282.5\" y=\"-423.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 31</text>\n<text text-anchor=\"middle\" x=\"282.5\" y=\"-408.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 2, 29]</text>\n</g>\n<!-- 2&#45;&gt;4 -->\n<g id=\"edge4\" class=\"edge\">\n<title>2&#45;&gt;4</title>\n<path fill=\"none\" stroke=\"black\" d=\"M236.58,-504.88C242.34,-496.24 248.62,-486.82 254.64,-477.79\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"257.67,-479.56 260.3,-469.3 251.84,-475.68 257.67,-479.56\"/>\n</g>\n<!-- 5 -->\n<g id=\"node6\" class=\"node\">\n<title>5</title>\n<polygon fill=\"none\" stroke=\"black\" points=\"271.5,-365 161.5,-365 161.5,-297 271.5,-297 271.5,-365\"/>\n<text text-anchor=\"middle\" x=\"216.5\" y=\"-349.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">x[1] &lt;= 3.05</text>\n<text text-anchor=\"middle\" x=\"216.5\" y=\"-334.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.48</text>\n<text text-anchor=\"middle\" x=\"216.5\" y=\"-319.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 5</text>\n<text text-anchor=\"middle\" x=\"216.5\" y=\"-304.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 2, 3]</text>\n</g>\n<!-- 4&#45;&gt;5 -->\n<g id=\"edge5\" class=\"edge\">\n<title>4&#45;&gt;5</title>\n<path fill=\"none\" stroke=\"black\" d=\"M261.07,-400.88C255.48,-392.24 249.38,-382.82 243.54,-373.79\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"246.42,-371.79 238.05,-365.3 240.54,-375.6 246.42,-371.79\"/>\n</g>\n<!-- 12 -->\n<g id=\"node13\" class=\"node\">\n<title>12</title>\n<polygon fill=\"none\" stroke=\"black\" points=\"407,-357.5 290,-357.5 290,-304.5 407,-304.5 407,-357.5\"/>\n<text text-anchor=\"middle\" x=\"348.5\" y=\"-342.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\n<text text-anchor=\"middle\" x=\"348.5\" y=\"-327.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 26</text>\n<text text-anchor=\"middle\" x=\"348.5\" y=\"-312.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 0, 26]</text>\n</g>\n<!-- 4&#45;&gt;12 -->\n<g id=\"edge12\" class=\"edge\">\n<title>4&#45;&gt;12</title>\n<path fill=\"none\" stroke=\"black\" d=\"M303.93,-400.88C311.12,-389.78 319.14,-377.37 326.38,-366.18\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"329.49,-367.82 331.99,-357.52 323.62,-364.01 329.49,-367.82\"/>\n</g>\n<!-- 6 -->\n<g id=\"node7\" class=\"node\">\n<title>6</title>\n<polygon fill=\"none\" stroke=\"black\" points=\"207.5,-261 97.5,-261 97.5,-193 207.5,-193 207.5,-261\"/>\n<text text-anchor=\"middle\" x=\"152.5\" y=\"-245.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">x[3] &lt;= 1.55</text>\n<text text-anchor=\"middle\" x=\"152.5\" y=\"-230.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.375</text>\n<text text-anchor=\"middle\" x=\"152.5\" y=\"-215.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 4</text>\n<text text-anchor=\"middle\" x=\"152.5\" y=\"-200.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 1, 3]</text>\n</g>\n<!-- 5&#45;&gt;6 -->\n<g id=\"edge6\" class=\"edge\">\n<title>5&#45;&gt;6</title>\n<path fill=\"none\" stroke=\"black\" d=\"M195.72,-296.88C190.3,-288.24 184.39,-278.82 178.72,-269.79\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"181.67,-267.91 173.39,-261.3 175.74,-271.63 181.67,-267.91\"/>\n</g>\n<!-- 11 -->\n<g id=\"node12\" class=\"node\">\n<title>11</title>\n<polygon fill=\"none\" stroke=\"black\" points=\"335.5,-253.5 225.5,-253.5 225.5,-200.5 335.5,-200.5 335.5,-253.5\"/>\n<text text-anchor=\"middle\" x=\"280.5\" y=\"-238.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\n<text text-anchor=\"middle\" x=\"280.5\" y=\"-223.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 1</text>\n<text text-anchor=\"middle\" x=\"280.5\" y=\"-208.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 1, 0]</text>\n</g>\n<!-- 5&#45;&gt;11 -->\n<g id=\"edge11\" class=\"edge\">\n<title>5&#45;&gt;11</title>\n<path fill=\"none\" stroke=\"black\" d=\"M237.28,-296.88C244.25,-285.78 252.03,-273.37 259.05,-262.18\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"262.14,-263.85 264.49,-253.52 256.21,-260.13 262.14,-263.85\"/>\n</g>\n<!-- 7 -->\n<g id=\"node8\" class=\"node\">\n<title>7</title>\n<polygon fill=\"none\" stroke=\"black\" points=\"143.5,-149.5 33.5,-149.5 33.5,-96.5 143.5,-96.5 143.5,-149.5\"/>\n<text text-anchor=\"middle\" x=\"88.5\" y=\"-134.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\n<text text-anchor=\"middle\" x=\"88.5\" y=\"-119.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 2</text>\n<text text-anchor=\"middle\" x=\"88.5\" y=\"-104.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 0, 2]</text>\n</g>\n<!-- 6&#45;&gt;7 -->\n<g id=\"edge7\" class=\"edge\">\n<title>6&#45;&gt;7</title>\n<path fill=\"none\" stroke=\"black\" d=\"M131.72,-192.88C124.75,-181.78 116.97,-169.37 109.95,-158.18\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"112.79,-156.13 104.51,-149.52 106.86,-159.85 112.79,-156.13\"/>\n</g>\n<!-- 8 -->\n<g id=\"node9\" class=\"node\">\n<title>8</title>\n<polygon fill=\"none\" stroke=\"black\" points=\"271.5,-157 161.5,-157 161.5,-89 271.5,-89 271.5,-157\"/>\n<text text-anchor=\"middle\" x=\"216.5\" y=\"-141.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">x[0] &lt;= 6.6</text>\n<text text-anchor=\"middle\" x=\"216.5\" y=\"-126.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.5</text>\n<text text-anchor=\"middle\" x=\"216.5\" y=\"-111.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 2</text>\n<text text-anchor=\"middle\" x=\"216.5\" y=\"-96.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 1, 1]</text>\n</g>\n<!-- 6&#45;&gt;8 -->\n<g id=\"edge8\" class=\"edge\">\n<title>6&#45;&gt;8</title>\n<path fill=\"none\" stroke=\"black\" d=\"M173.28,-192.88C178.7,-184.24 184.61,-174.82 190.28,-165.79\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"193.26,-167.63 195.61,-157.3 187.33,-163.91 193.26,-167.63\"/>\n</g>\n<!-- 9 -->\n<g id=\"node10\" class=\"node\">\n<title>9</title>\n<polygon fill=\"none\" stroke=\"black\" points=\"207.5,-53 97.5,-53 97.5,0 207.5,0 207.5,-53\"/>\n<text text-anchor=\"middle\" x=\"152.5\" y=\"-37.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\n<text text-anchor=\"middle\" x=\"152.5\" y=\"-22.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 1</text>\n<text text-anchor=\"middle\" x=\"152.5\" y=\"-7.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 1, 0]</text>\n</g>\n<!-- 8&#45;&gt;9 -->\n<g id=\"edge9\" class=\"edge\">\n<title>8&#45;&gt;9</title>\n<path fill=\"none\" stroke=\"black\" d=\"M194.12,-88.95C188.11,-80.07 181.6,-70.46 175.55,-61.54\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"178.44,-59.55 169.93,-53.24 172.64,-63.48 178.44,-59.55\"/>\n</g>\n<!-- 10 -->\n<g id=\"node11\" class=\"node\">\n<title>10</title>\n<polygon fill=\"none\" stroke=\"black\" points=\"335.5,-53 225.5,-53 225.5,0 335.5,0 335.5,-53\"/>\n<text text-anchor=\"middle\" x=\"280.5\" y=\"-37.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\n<text text-anchor=\"middle\" x=\"280.5\" y=\"-22.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 1</text>\n<text text-anchor=\"middle\" x=\"280.5\" y=\"-7.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 0, 1]</text>\n</g>\n<!-- 8&#45;&gt;10 -->\n<g id=\"edge10\" class=\"edge\">\n<title>8&#45;&gt;10</title>\n<path fill=\"none\" stroke=\"black\" d=\"M238.88,-88.95C244.89,-80.07 251.4,-70.46 257.45,-61.54\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"260.36,-63.48 263.07,-53.24 254.56,-59.55 260.36,-63.48\"/>\n</g>\n</g>\n</svg>\n",
            "text/plain": [
              "<graphviz.sources.Source at 0x79435e0bbec0>"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ],
      "source": [
        "#conda install python-graphviz\n",
        "import graphviz\n",
        "print(iris.feature_names)\n",
        "dot_data = tree.export_graphviz(dtree,out_file=None)\n",
        "graph = graphviz.Source(dot_data)\n",
        "graph"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 536
        },
        "id": "_d_DuRIQ4FMj",
        "outputId": "92ea3535-a91c-4dfa-efff-0db295fefd49"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0.9166666666666666\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "image/svg+xml": "<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<!-- Generated by graphviz version 2.43.0 (0)\n -->\n<!-- Title: Tree Pages: 1 -->\n<svg width=\"414pt\" height=\"373pt\"\n viewBox=\"0.00 0.00 414.00 373.00\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n<g id=\"graph0\" class=\"graph\" transform=\"scale(1 1) rotate(0) translate(4 369)\">\n<title>Tree</title>\n<polygon fill=\"white\" stroke=\"transparent\" points=\"-4,4 -4,-369 410,-369 410,4 -4,4\"/>\n<!-- 0 -->\n<g id=\"node1\" class=\"node\">\n<title>0</title>\n<polygon fill=\"none\" stroke=\"black\" points=\"219.5,-365 53.5,-365 53.5,-297 219.5,-297 219.5,-365\"/>\n<text text-anchor=\"middle\" x=\"136.5\" y=\"-349.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">x[3] &lt;= 0.75</text>\n<text text-anchor=\"middle\" x=\"136.5\" y=\"-334.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.666</text>\n<text text-anchor=\"middle\" x=\"136.5\" y=\"-319.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 90</text>\n<text text-anchor=\"middle\" x=\"136.5\" y=\"-304.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [30.0, 31.0, 29.0]</text>\n</g>\n<!-- 1 -->\n<g id=\"node2\" class=\"node\">\n<title>1</title>\n<polygon fill=\"none\" stroke=\"black\" points=\"117,-253.5 0,-253.5 0,-200.5 117,-200.5 117,-253.5\"/>\n<text text-anchor=\"middle\" x=\"58.5\" y=\"-238.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\n<text text-anchor=\"middle\" x=\"58.5\" y=\"-223.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 30</text>\n<text text-anchor=\"middle\" x=\"58.5\" y=\"-208.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [30, 0, 0]</text>\n</g>\n<!-- 0&#45;&gt;1 -->\n<g id=\"edge1\" class=\"edge\">\n<title>0&#45;&gt;1</title>\n<path fill=\"none\" stroke=\"black\" d=\"M111.18,-296.88C102.51,-285.56 92.82,-272.88 84.13,-261.52\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"86.87,-259.34 78.02,-253.52 81.31,-263.59 86.87,-259.34\"/>\n<text text-anchor=\"middle\" x=\"74.71\" y=\"-274.6\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">True</text>\n</g>\n<!-- 2 -->\n<g id=\"node3\" class=\"node\">\n<title>2</title>\n<polygon fill=\"none\" stroke=\"black\" points=\"293.5,-261 135.5,-261 135.5,-193 293.5,-193 293.5,-261\"/>\n<text text-anchor=\"middle\" x=\"214.5\" y=\"-245.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">x[2] &lt;= 4.75</text>\n<text text-anchor=\"middle\" x=\"214.5\" y=\"-230.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.499</text>\n<text text-anchor=\"middle\" x=\"214.5\" y=\"-215.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 60</text>\n<text text-anchor=\"middle\" x=\"214.5\" y=\"-200.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0.0, 31.0, 29.0]</text>\n</g>\n<!-- 0&#45;&gt;2 -->\n<g id=\"edge2\" class=\"edge\">\n<title>0&#45;&gt;2</title>\n<path fill=\"none\" stroke=\"black\" d=\"M161.82,-296.88C168.5,-288.15 175.79,-278.62 182.75,-269.51\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"185.74,-271.37 189.04,-261.3 180.18,-267.12 185.74,-271.37\"/>\n<text text-anchor=\"middle\" x=\"192.34\" y=\"-282.38\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">False</text>\n</g>\n<!-- 3 -->\n<g id=\"node4\" class=\"node\">\n<title>3</title>\n<polygon fill=\"none\" stroke=\"black\" points=\"205,-149.5 88,-149.5 88,-96.5 205,-96.5 205,-149.5\"/>\n<text text-anchor=\"middle\" x=\"146.5\" y=\"-134.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\n<text text-anchor=\"middle\" x=\"146.5\" y=\"-119.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 29</text>\n<text text-anchor=\"middle\" x=\"146.5\" y=\"-104.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 29, 0]</text>\n</g>\n<!-- 2&#45;&gt;3 -->\n<g id=\"edge3\" class=\"edge\">\n<title>2&#45;&gt;3</title>\n<path fill=\"none\" stroke=\"black\" d=\"M192.42,-192.88C184.94,-181.67 176.58,-169.13 169.07,-157.85\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"171.97,-155.9 163.51,-149.52 166.15,-159.78 171.97,-155.9\"/>\n</g>\n<!-- 4 -->\n<g id=\"node5\" class=\"node\">\n<title>4</title>\n<polygon fill=\"none\" stroke=\"black\" points=\"340,-157 223,-157 223,-89 340,-89 340,-157\"/>\n<text text-anchor=\"middle\" x=\"281.5\" y=\"-141.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">x[3] &lt;= 1.7</text>\n<text text-anchor=\"middle\" x=\"281.5\" y=\"-126.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.121</text>\n<text text-anchor=\"middle\" x=\"281.5\" y=\"-111.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 31</text>\n<text text-anchor=\"middle\" x=\"281.5\" y=\"-96.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 2, 29]</text>\n</g>\n<!-- 2&#45;&gt;4 -->\n<g id=\"edge4\" class=\"edge\">\n<title>2&#45;&gt;4</title>\n<path fill=\"none\" stroke=\"black\" d=\"M236.25,-192.88C241.93,-184.24 248.12,-174.82 254.05,-165.79\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"257.06,-167.58 259.63,-157.3 251.21,-163.74 257.06,-167.58\"/>\n</g>\n<!-- 5 -->\n<g id=\"node6\" class=\"node\">\n<title>5</title>\n<polygon fill=\"none\" stroke=\"black\" points=\"270.5,-53 160.5,-53 160.5,0 270.5,0 270.5,-53\"/>\n<text text-anchor=\"middle\" x=\"215.5\" y=\"-37.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.48</text>\n<text text-anchor=\"middle\" x=\"215.5\" y=\"-22.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 5</text>\n<text text-anchor=\"middle\" x=\"215.5\" y=\"-7.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 2, 3]</text>\n</g>\n<!-- 4&#45;&gt;5 -->\n<g id=\"edge5\" class=\"edge\">\n<title>4&#45;&gt;5</title>\n<path fill=\"none\" stroke=\"black\" d=\"M258.42,-88.95C252.22,-80.07 245.51,-70.46 239.27,-61.54\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"242.07,-59.43 233.47,-53.24 236.33,-63.44 242.07,-59.43\"/>\n</g>\n<!-- 6 -->\n<g id=\"node7\" class=\"node\">\n<title>6</title>\n<polygon fill=\"none\" stroke=\"black\" points=\"406,-53 289,-53 289,0 406,0 406,-53\"/>\n<text text-anchor=\"middle\" x=\"347.5\" y=\"-37.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\n<text text-anchor=\"middle\" x=\"347.5\" y=\"-22.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 26</text>\n<text text-anchor=\"middle\" x=\"347.5\" y=\"-7.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 0, 26]</text>\n</g>\n<!-- 4&#45;&gt;6 -->\n<g id=\"edge6\" class=\"edge\">\n<title>4&#45;&gt;6</title>\n<path fill=\"none\" stroke=\"black\" d=\"M304.58,-88.95C310.78,-80.07 317.49,-70.46 323.73,-61.54\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"326.67,-63.44 329.53,-53.24 320.93,-59.43 326.67,-63.44\"/>\n</g>\n</g>\n</svg>\n",
            "text/plain": [
              "<graphviz.sources.Source at 0x79435e0bb860>"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ],
      "source": [
        "dtree2 = tree.DecisionTreeClassifier(max_depth=3)  # Based on the above diagrame most of the classification is done on Depth = 3\n",
        "dtree2 = dtree2.fit(X_train, y_train)\n",
        "print(dtree2.score(X_test,y_test))\n",
        "dot_data2 = tree.export_graphviz(dtree2,out_file=None)\n",
        "graph2 = graphviz.Source(dot_data2)\n",
        "graph2"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5uKRcKTK4FMj"
      },
      "source": [
        "\n",
        "### k-NN Classification ###\n",
        "\n",
        "https://scikit-learn.org/stable/modules/neighbors.html#classification"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "While the **Decision Tree** tried to learn explicit *rules* (like \"if petal length < 2.45...\"), the **k-Nearest Neighbors (k-NN)** algorithm doesn't \"learn\" rules at all. Instead, it relies on similarity.\n",
        "\n",
        "It is often called a \"Lazy Learner\" because it doesn't build a model during the training phase. It simply memorizes the training data.\n",
        "\n",
        "The Intuition:\n",
        "The logic follows the old proverb:\n",
        "> *\"Tell me who your friends are, and I will tell you who you are.\"*\n",
        "\n",
        "How it works:\n",
        "When we ask the model to classify a new, unseen flower, it follows these steps:\n",
        "\n",
        "1.  **Measure Distance:** It calculates the distance (usually Euclidean) between the new flower and **every** flower in the training set.\n",
        "2.  **Find Neighbors:** It picks the **$k$** closest flowers (where $k$ is a number we choose, e.g., 3).\n",
        "3.  **Majority Vote:** It looks at the classes of those $k$ neighbors. If 2 are 'Versicolor' and 1 is 'Virginica', the model predicts 'Versicolor'.\n",
        "\n",
        "Key Parameter: `n_neighbors`.\n",
        "The most important setting here is **$k$** (in code: `n_neighbors`).\n",
        "* **Small $k$ (e.g., 1):** The model is very sensitive to noise (a single weird flower can flip the result).\n",
        "* **Large $k$ (e.g., 50):** The decision becomes very smooth, but we might lose local details."
      ],
      "metadata": {
        "id": "ADkMLe0qb84k"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hkv6N8Fm4FMk",
        "outputId": "6be3ef0c-383d-4f23-dc61-af31486a4f2d"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "classifier score: 0.9333333333333333\n",
            "\n",
            "accuracy: 0.9333333333333333\n",
            "\n",
            "Confusion matrix\n",
            "[[20  0  0]\n",
            " [ 0 16  3]\n",
            " [ 0  1 20]]\n",
            "\n",
            "Precision Score per class\n",
            "[1.         0.94117647 0.86956522]\n",
            "\n",
            "Average Precision Score\n",
            "0.9357203751065644\n",
            "\n",
            "Recall Score per class\n",
            "[1.         0.84210526 0.95238095]\n",
            "\n",
            "Average Recall Score\n",
            "0.9333333333333333\n",
            "\n",
            "F1-score Score per class\n",
            "[1.         0.88888889 0.90909091]\n",
            "\n",
            "Average F1 Score\n",
            "0.9329966329966329\n"
          ]
        }
      ],
      "source": [
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "\n",
        "knn = KNeighborsClassifier(n_neighbors=3)\n",
        "knn.fit(X_train,y_train)\n",
        "print(\"classifier score:\", knn.score(X_test,y_test))\n",
        "\n",
        "y_pred = knn.predict(X_test)\n",
        "\n",
        "print(\"\\naccuracy:\",metrics.accuracy_score(y_test,y_pred))\n",
        "print(\"\\nConfusion matrix\")\n",
        "print(metrics.confusion_matrix(y_test,y_pred))\n",
        "print(\"\\nPrecision Score per class\")\n",
        "print(metrics.precision_score(y_test,y_pred,average=None))\n",
        "print(\"\\nAverage Precision Score\")\n",
        "print(metrics.precision_score(y_test,y_pred,average='weighted'))\n",
        "print(\"\\nRecall Score per class\")\n",
        "print(metrics.recall_score(y_test,y_pred,average=None))\n",
        "print(\"\\nAverage Recall Score\")\n",
        "print(metrics.recall_score(y_test,y_pred,average='weighted'))\n",
        "print(\"\\nF1-score Score per class\")\n",
        "print(metrics.f1_score(y_test,y_pred,average=None))\n",
        "print(\"\\nAverage F1 Score\")\n",
        "print(metrics.f1_score(y_test,y_pred,average='weighted'))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-L5ibkqbwuOf"
      },
      "source": [
        "Example image of how kNN draws Decision Boundaries. In our case that there are 4 features such a plot connot be made since it will have to be in 4D."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VSK-GaCrwe_q"
      },
      "source": [
        "![image.png](data:image/png;base64,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)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MihtoHIs4FMk"
      },
      "source": [
        "### SVM Classification\n",
        "\n",
        "http://scikit-learn.org/stable/modules/svm.html\n",
        "\n",
        "http://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html#sklearn.svm.SVC"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yeX3K_O54FMk",
        "outputId": "3cbffccb-f42e-433c-e2a3-d850130ca629"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "classifier score: 0.95\n",
            "\n",
            "accuracy: 0.95\n",
            "\n",
            "Confusion matrix\n",
            "[[20  0  0]\n",
            " [ 0 18  1]\n",
            " [ 0  2 19]]\n",
            "\n",
            "Precision Score per class\n",
            "[1.   0.9  0.95]\n",
            "\n",
            "Average Precision Score\n",
            "0.9508333333333333\n",
            "\n",
            "Recall Score per class\n",
            "[1.         0.94736842 0.9047619 ]\n",
            "\n",
            "Average Recall Score\n",
            "0.95\n",
            "\n",
            "F1-score Score per class\n",
            "[1.         0.92307692 0.92682927]\n",
            "\n",
            "Average F1 Score\n",
            "0.9500312695434646\n"
          ]
        }
      ],
      "source": [
        "from sklearn import svm\n",
        "\n",
        "#svm_clf = svm.LinearSVC()\n",
        "#svm_clf = svm.SVC(kernel = 'poly')   # kernel determines how the data is transformed to make it linearly separable\n",
        "svm_clf = svm.SVC()                   # default kernel: Radial basis function (rbf)\n",
        "svm_clf.fit(X_train,y_train)\n",
        "print(\"classifier score:\",svm_clf.score(X_test,y_test))\n",
        "y_pred = svm_clf.predict(X_test)\n",
        "print(\"\\naccuracy:\",metrics.accuracy_score(y_test,y_pred))\n",
        "print(\"\\nConfusion matrix\")\n",
        "print(metrics.confusion_matrix(y_test,y_pred))\n",
        "print(\"\\nPrecision Score per class\")\n",
        "print(metrics.precision_score(y_test,y_pred,average=None))\n",
        "print(\"\\nAverage Precision Score\")\n",
        "print(metrics.precision_score(y_test,y_pred,average='weighted'))\n",
        "print(\"\\nRecall Score per class\")\n",
        "print(metrics.recall_score(y_test,y_pred,average=None))\n",
        "print(\"\\nAverage Recall Score\")\n",
        "print(metrics.recall_score(y_test,y_pred,average='weighted'))\n",
        "print(\"\\nF1-score Score per class\")\n",
        "print(metrics.f1_score(y_test,y_pred,average=None))\n",
        "print(\"\\nAverage F1 Score\")\n",
        "print(metrics.f1_score(y_test,y_pred,average='weighted'))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oO8uruiuzdNe"
      },
      "source": [
        "kNN vs SVM Descision Boundries\n",
        "\n",
        "kNN: Decision boundaries are determined by local data density based on majority voting among the k nearest neighbors\n",
        "\n",
        "SVM: Decision boundaries are determined by maximizing the margin using support vectors. Particularly effective in high-dimensional or sparse datasets."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MVd4gz594FMl"
      },
      "source": [
        "### Logistic Regression ###\n",
        "\n",
        "http://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
        "\n",
        "http://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html#sklearn.linear_model.LogisticRegression"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Despite its name, **Logistic Regression** is used for **Classification**, not Regression.\n",
        "\n",
        "Why is it different?\n",
        "1.  **The Shape:** Unlike Decision Trees (which cut the data into rectangles) or k-NN (which creates complex, wiggly shapes), Logistic Regression is a **Linear Classifier**. It tries to draw a **single straight line** (or a flat plane) to separate the classes.\n",
        "2.  **The Output:** It doesn't just give us a \"Yes/No\" answer. It gives us a **Probability** (a score between 0 and 1).\n",
        "\n",
        "### The Intuition\n",
        "Imagine you are trying to separate red and blue marbles on a table:\n",
        "* **Decision Tree:** You build a wall of LEGO bricks around the red marbles.\n",
        "* **k-NN:** You look at clusters of marbles.\n",
        "* **Logistic Regression:** You place a single straight stick on the table to separate them as best as you can.\n",
        "\n",
        "Because it is \"linear,\" it might struggle if the data is very complex (e.g., a circle inside a circle), but it is very fast and easy to interpret."
      ],
      "metadata": {
        "id": "Xdr7xR6-eDkB"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "D4YzYoWy4FMl",
        "outputId": "7f08b061-d8c2-4639-ca57-fd0dd63c6d01"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "classifier score: 0.95\n",
            "\n",
            "accuracy: 0.95\n",
            "\n",
            "Confusion matrix\n",
            "[[20  0  0]\n",
            " [ 0 17  2]\n",
            " [ 0  1 20]]\n",
            "\n",
            "Precision Score per class\n",
            "[1.         0.94444444 0.90909091]\n",
            "\n",
            "Average Precision Score\n",
            "0.9505892255892257\n",
            "\n",
            "Recall Score per class\n",
            "[1.         0.89473684 0.95238095]\n",
            "\n",
            "Average Recall Score\n",
            "0.95\n",
            "\n",
            "F1-score Score per class\n",
            "[1.         0.91891892 0.93023256]\n",
            "\n",
            "Average F1 Score\n",
            "0.9499057196731615\n"
          ]
        }
      ],
      "source": [
        "import sklearn.linear_model as linear_model\n",
        "\n",
        "lr_clf = linear_model.LogisticRegression(solver='lbfgs')\n",
        "lr_clf.fit(X_train, y_train)\n",
        "print(\"classifier score:\",lr_clf.score(X_test,y_test))\n",
        "y_pred = lr_clf.predict(X_test)\n",
        "print(\"\\naccuracy:\",metrics.accuracy_score(y_test,y_pred))\n",
        "print(\"\\nConfusion matrix\")\n",
        "print(metrics.confusion_matrix(y_test,y_pred))\n",
        "print(\"\\nPrecision Score per class\")\n",
        "print(metrics.precision_score(y_test,y_pred,average=None))\n",
        "print(\"\\nAverage Precision Score\")\n",
        "print(metrics.precision_score(y_test,y_pred,average='weighted'))\n",
        "print(\"\\nRecall Score per class\")\n",
        "print(metrics.recall_score(y_test,y_pred,average=None))\n",
        "print(\"\\nAverage Recall Score\")\n",
        "print(metrics.recall_score(y_test,y_pred,average='weighted'))\n",
        "print(\"\\nF1-score Score per class\")\n",
        "print(metrics.f1_score(y_test,y_pred,average=None))\n",
        "print(\"\\nAverage F1 Score\")\n",
        "print(metrics.f1_score(y_test,y_pred,average='weighted'))\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "O8Icffoi4FMm"
      },
      "source": [
        "For Logistic Regression we can also obtain the probabilities for the different classes"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5TTFnP5_4FMm",
        "outputId": "e430d8fa-95a9-4462-94c8-2d61c95b217b"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Class Probabilities (first 10):\n",
            "[[3.58062452e-03 4.78837536e-01 5.17581840e-01]\n",
            " [1.14629520e-03 4.05835759e-01 5.93017945e-01]\n",
            " [3.92636719e-05 6.43273069e-02 9.35633429e-01]\n",
            " [9.58095468e-01 4.19028153e-02 1.71652335e-06]\n",
            " [9.43362912e-01 5.66341310e-02 2.95722406e-06]\n",
            " [9.82882494e-01 1.71170688e-02 4.36780706e-07]\n",
            " [5.55192517e-05 7.15153840e-02 9.28429097e-01]\n",
            " [1.95254291e-04 1.77447939e-01 8.22356806e-01]\n",
            " [1.39404689e-04 1.43508126e-01 8.56352469e-01]\n",
            " [1.28136030e-05 1.91639422e-02 9.80823244e-01]]\n",
            "[1 2 2 0 0 0 2 2 2 2]\n",
            "[2 2 2 0 0 0 2 2 2 2]\n",
            "[0.51758184 0.59301795 0.93563343 0.95809547 0.94336291 0.98288249\n",
            " 0.9284291  0.82235681 0.85635247 0.98082324]\n"
          ]
        }
      ],
      "source": [
        "probs = lr_clf.predict_proba(X_test)\n",
        "print(\"Class Probabilities (first 10):\")\n",
        "print (probs[:10])\n",
        "print(y_test[:10])\n",
        "print(probs.argmax(axis = 1)[:10])\n",
        "print(probs.max(axis = 1)[:10])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xhfEpPAZ4FMm"
      },
      "source": [
        "And the coeffients of the logistic regression model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hf0yBfLa4FMn",
        "outputId": "afe4ee15-c143-4f20-bc71-75994e670694"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[-0.41634761  0.72750266 -2.19259055 -0.94546959]\n",
            " [ 0.0821038  -0.38691851 -0.0226097  -0.69668026]\n",
            " [ 0.33424381 -0.34058416  2.21520024  1.64214985]]\n"
          ]
        }
      ],
      "source": [
        "print(lr_clf.coef_)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 619
        },
        "id": "vbjl4cWo1osw",
        "outputId": "88ae681b-c4a3-469a-9922-3394ad45934f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/sklearn/linear_model/_logistic.py:1256: FutureWarning: 'multi_class' was deprecated in version 1.5 and will be removed in 1.7. Use OneVsRestClassifier(LogisticRegression(..)) instead. Leave it to its default value to avoid this warning.\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "from matplotlib.colors import ListedColormap\n",
        "\n",
        "# Select two features for visualization\n",
        "feature_1_idx = 0  # e.g., sepal length\n",
        "feature_2_idx = 2  # e.g., petal length\n",
        "\n",
        "X_train_2d = X_train[:, [feature_1_idx, feature_2_idx]]\n",
        "X_test_2d = X_test[:, [feature_1_idx, feature_2_idx]]\n",
        "\n",
        "# Train Logistic Regression on the two selected features\n",
        "lr_clf_2d = linear_model.LogisticRegression(solver='lbfgs', multi_class='ovr')\n",
        "lr_clf_2d.fit(X_train_2d, y_train)\n",
        "\n",
        "# Generate a grid for plotting decision boundaries\n",
        "x_min, x_max = X_train_2d[:, 0].min() - 1, X_train_2d[:, 0].max() + 1\n",
        "y_min, y_max = X_train_2d[:, 1].min() - 1, X_train_2d[:, 1].max() + 1\n",
        "xx, yy = np.meshgrid(np.arange(x_min, x_max, 0.01), np.arange(y_min, y_max, 0.01))\n",
        "grid_points = np.c_[xx.ravel(), yy.ravel()]\n",
        "\n",
        "# Predict for each grid point\n",
        "Z = lr_clf_2d.predict(grid_points)\n",
        "Z = Z.reshape(xx.shape)\n",
        "\n",
        "# Plot decision boundaries\n",
        "plt.figure(figsize=(10, 6))\n",
        "cmap_light = ListedColormap(['#FFAAAA', '#AAFFAA', '#AAAAFF'])\n",
        "cmap_bold = ListedColormap(['#FF0000', '#00FF00', '#0000FF'])\n",
        "\n",
        "plt.contourf(xx, yy, Z, alpha=0.8, cmap=cmap_light)\n",
        "plt.scatter(X_train_2d[:, 0], X_train_2d[:, 1], c=y_train, cmap=cmap_bold, edgecolor='k', s=50)\n",
        "plt.title(\"Logistic Regression Decision Boundaries - Feature 1 vs Feature 2\")\n",
        "plt.xlabel(f\"Feature {feature_1_idx + 1} (e.g., {iris.feature_names[feature_1_idx]})\")\n",
        "plt.ylabel(f\"Feature {feature_2_idx + 1} (e.g., {iris.feature_names[feature_2_idx]})\")\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2JrpprjQ4FMn"
      },
      "source": [
        "### Neural Networks: Mutli-Layer Perceptron\n",
        "\n",
        "https://scikit-learn.org/stable/modules/neural_networks_supervised.html\n",
        "https://scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html#sklearn.neural_network.MLPClassifier"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Multi-Layer Perceptron (MLP)** is the simplest form of a Neural Network.\n",
        "\n",
        "**Logistic Regression** used a single equation (a single \"neuron\") to separate the data with a straight line.\n",
        "* **MLP** works by combining **many** of these \"neurons\" together in layers.\n",
        "* **Hidden Layers:** The layers in the middle allow the model to learn complex, non-linear patterns.\n",
        "\n",
        "\n",
        "\n",
        "![image.png](data:image/png;base64,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)\n",
        "\n",
        "\n",
        "Linear vs. Non-Linear:\n",
        "* **Logistic Regression:** Can only draw straight lines.\n",
        "* **MLP:** Can draw curves, circles, and complex squiggles. It bends the decision boundary to fit the data.\n",
        "\n",
        "The Trade-off:\n",
        "While powerful, MLPs are \"Black Boxes.\" Unlike the Decision Tree (where we could see the rules) or Logistic Regression (where we saw the coefficients), it is very hard to look inside a Neural Network and understand exactly *why* it made a specific decision."
      ],
      "metadata": {
        "id": "R0ThFy4vkEGs"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Dh8RdE3y4FMu",
        "outputId": "a6c01389-792d-4b94-909e-26101e240aed"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "MLP Default Architecture\n",
            "(100,)\n",
            "\n",
            "classifier score: 0.9333333333333333\n",
            "\n",
            "accuracy: 0.9333333333333333\n",
            "\n",
            "Confusion matrix\n",
            "[[20  0  0]\n",
            " [ 0 17  2]\n",
            " [ 0  2 19]]\n",
            "\n",
            "Precision Score per class\n",
            "[1.         0.89473684 0.9047619 ]\n",
            "\n",
            "Average Precision Score\n",
            "0.9333333333333333\n",
            "\n",
            "Recall Score per class\n",
            "[1.         0.89473684 0.9047619 ]\n",
            "\n",
            "Average Recall Score\n",
            "0.9333333333333333\n",
            "\n",
            "F1-score Score per class\n",
            "[1.         0.89473684 0.9047619 ]\n",
            "\n",
            "Average F1 Score\n",
            "0.9333333333333333\n"
          ]
        }
      ],
      "source": [
        "from sklearn.neural_network import MLPClassifier\n",
        "\n",
        "mlp_clf = MLPClassifier(solver='lbfgs')\n",
        "print(\"MLP Default Architecture\")\n",
        "print(mlp_clf.hidden_layer_sizes)\n",
        "mlp_clf.fit(X_train, y_train)\n",
        "print(\"\\nclassifier score:\",mlp_clf.score(X_test,y_test))\n",
        "y_pred = mlp_clf.predict(X_test)\n",
        "print(\"\\naccuracy:\",metrics.accuracy_score(y_test,y_pred))\n",
        "print(\"\\nConfusion matrix\")\n",
        "print(metrics.confusion_matrix(y_test,y_pred))\n",
        "print(\"\\nPrecision Score per class\")\n",
        "print(metrics.precision_score(y_test,y_pred,average=None))\n",
        "print(\"\\nAverage Precision Score\")\n",
        "print(metrics.precision_score(y_test,y_pred,average='weighted'))\n",
        "print(\"\\nRecall Score per class\")\n",
        "print(metrics.recall_score(y_test,y_pred,average=None))\n",
        "print(\"\\nAverage Recall Score\")\n",
        "print(metrics.recall_score(y_test,y_pred,average='weighted'))\n",
        "print(\"\\nF1-score Score per class\")\n",
        "print(metrics.f1_score(y_test,y_pred,average=None))\n",
        "print(\"\\nAverage F1 Score\")\n",
        "print(metrics.f1_score(y_test,y_pred,average='weighted'))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "riOvCsEx43f1"
      },
      "source": [
        "Lets see the Descision Boundaries that the MLP makes"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "vOdGq6Zs3t6r",
        "outputId": "35cb0146-d7ae-4b1b-98ef-98f6c10fda80"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Select two features for visualization\n",
        "feature_1_idx = 0  # First feature\n",
        "feature_2_idx = 2  # Third feature\n",
        "\n",
        "X_train_2d = X_train[:, [feature_1_idx, feature_2_idx]]\n",
        "X_test_2d = X_test[:, [feature_1_idx, feature_2_idx]]\n",
        "\n",
        "# Train MLP on selected features\n",
        "mlp_clf_2d = MLPClassifier(solver='lbfgs')\n",
        "mlp_clf_2d.fit(X_train_2d, y_train)\n",
        "\n",
        "# Generate grid for decision boundaries\n",
        "x_min, x_max = X_train_2d[:, 0].min() - 1, X_train_2d[:, 0].max() + 1\n",
        "y_min, y_max = X_train_2d[:, 1].min() - 1, X_train_2d[:, 1].max() + 1\n",
        "xx, yy = np.meshgrid(np.arange(x_min, x_max, 0.01), np.arange(y_min, y_max, 0.01))\n",
        "grid_points = np.c_[xx.ravel(), yy.ravel()]\n",
        "Z = mlp_clf_2d.predict(grid_points)\n",
        "Z = Z.reshape(xx.shape)\n",
        "\n",
        "# Plot decision boundaries\n",
        "plt.figure(figsize=(10, 6))\n",
        "cmap_light = ListedColormap(['#FFAAAA', '#AAFFAA', '#AAAAFF'])\n",
        "cmap_bold = ListedColormap(['#FF0000', '#00FF00', '#0000FF'])\n",
        "\n",
        "plt.contourf(xx, yy, Z, alpha=0.8, cmap=cmap_light)\n",
        "plt.scatter(X_train_2d[:, 0], X_train_2d[:, 1], c=y_train, cmap=cmap_bold, edgecolor='k', s=50)\n",
        "plt.title(\"MLP Decision Boundaries - Feature 1 vs Feature 3\")\n",
        "plt.xlabel(f\"Feature {feature_1_idx + 1}\")\n",
        "plt.ylabel(f\"Feature {feature_2_idx + 1}\")\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kXJPSpF4Cd7a"
      },
      "source": [
        "Computing Scores"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8lwyQpH0CRzG",
        "outputId": "5954e8a7-a470-4520-bd96-556a4e98fe3c"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[1.         0.89473684 0.9047619 ]\n",
            "[1.         0.89473684 0.9047619 ]\n",
            "[1.         0.89473684 0.9047619 ]\n",
            "[20 19 21]\n"
          ]
        }
      ],
      "source": [
        "p,r,f,s = metrics.precision_recall_fscore_support(y_test,y_pred)  # y_pred is from the MLP\n",
        "print(p)\n",
        "print(r)\n",
        "print(f)\n",
        "print(s)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oHylFAn8CSX5",
        "outputId": "adf7fc38-7edd-4ef5-a99e-ae10ccf4fc20"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       1.00      1.00      1.00        20\n",
            "           1       0.89      0.89      0.89        19\n",
            "           2       0.90      0.90      0.90        21\n",
            "\n",
            "    accuracy                           0.93        60\n",
            "   macro avg       0.93      0.93      0.93        60\n",
            "weighted avg       0.93      0.93      0.93        60\n",
            "\n"
          ]
        }
      ],
      "source": [
        "report = metrics.classification_report(y_test,y_pred)  # Support tell us how many samples of each class are in the y_test\n",
        "print(report)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SLZMEQ3XChlu"
      },
      "source": [
        "More on Evaluation: http://scikit-learn.org/stable/model_selection.html#model-selection"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fF125Akh4FM2"
      },
      "source": [
        "A more Complex example with the [diabetes dataset](https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_diabetes.html#sklearn.datasets.load_diabetes)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3DOTAWIZ4FM2",
        "outputId": "f540dab1-f748-4830-c1b6-cfd124582135"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Coefficients: \n",
            " [  -8.80064784 -238.68584171  515.45675075  329.26068533 -878.18560171\n",
            "  530.03616927  126.04120869  213.28386451  734.45899793   67.32731226]\n",
            "\n",
            "Mean squared error: 2305.01\n",
            "\n",
            "Coefficient of determination: 0.68\n",
            "\n",
            "Predictions:\n",
            "[149.7546802  199.76667761 248.11135815 182.95023775  98.34758327\n",
            "  96.66442169 248.60103198  64.8494556  234.5250113  209.30960598\n",
            " 179.26527876  85.95464444  70.53999409 197.9358827  100.34679414\n",
            " 116.8171366  134.97124147  64.08460686 178.33480132 155.32208789]\n",
            "\n",
            "True values:\n",
            "[168. 221. 310. 283.  81.  94. 277.  72. 270. 268. 174.  96.  83. 222.\n",
            "  69. 153. 202.  43. 124. 276.]\n"
          ]
        }
      ],
      "source": [
        "diabetes_X, diabetes_y = sk_data.load_diabetes(return_X_y=True)   # X = 10 features (Age, BMI, Blood pressure, etc...)\n",
        "                                                                  # y = Quantitative measure for disease progression (Continuous Value)\n",
        "# Shuffle the data\n",
        "diabetes_X, diabetes_y = utils.shuffle(diabetes_X, diabetes_y, random_state=1)\n",
        "\n",
        "# Split the data into training/testing sets\n",
        "diabetes_X_train = diabetes_X[:-20]\n",
        "diabetes_X_test = diabetes_X[-20:]\n",
        "\n",
        "# Split the targets into training/testing sets\n",
        "diabetes_y_train = diabetes_y[:-20]\n",
        "diabetes_y_test = diabetes_y[-20:]\n",
        "\n",
        "# Create linear regression object\n",
        "regr = linear_model.LinearRegression()\n",
        "\n",
        "# Train the model using the training sets\n",
        "regr.fit(diabetes_X_train, diabetes_y_train)\n",
        "\n",
        "# Make predictions using the testing set\n",
        "diabetes_y_pred = regr.predict(diabetes_X_test)\n",
        "\n",
        "# The coefficients\n",
        "print('Coefficients: \\n', regr.coef_)\n",
        "# The mean squared error\n",
        "print('\\nMean squared error: %.2f'\n",
        "      % metrics.mean_squared_error(diabetes_y_test, diabetes_y_pred))\n",
        "# The coefficient of determination: 1 is perfect prediction           # Obviously here we dont have a perfect fit for a linear model like before\n",
        "# Computed over the *test* data\n",
        "print('\\nCoefficient of determination: %.2f'\n",
        "      % metrics.r2_score(diabetes_y_test, diabetes_y_pred))\n",
        "print('\\nPredictions:')\n",
        "print(diabetes_y_pred)\n",
        "print('\\nTrue values:')\n",
        "print(diabetes_y_test)"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Precision vs Recall**\n",
        "\n",
        "High Precision = Fewer false positives\n",
        "\n",
        "High Recall = Fewer false negatives\n",
        "\n",
        "In this binary example we get different Precision and Recall scores for different threashold values."
      ],
      "metadata": {
        "id": "ospdEA3Kbk4p"
      }
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "eBLQCxBI2JXQ"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "For a given **threshold**: $t$, the model predicts the positive class $(\\hat{y} = 1)$ for all samples where:\n",
        "\n",
        "$$\n",
        "P(\\text{class}=1) \\geq t\n",
        "$$\n",
        "\n",
        "and predicts the negative class $( \\hat{y} = 0)$ otherwise. The threshold is varied over the range of predicted probabilities, and for each threshold, the **Precision** and **Recall** are computed as:\n",
        "\n",
        "$$\n",
        "\\text{Precision}(t) = \\frac{\\text{True Positives}(t)}{\\text{True Positives}(t) + \\text{False Positives}(t)}\n",
        "$$\n",
        "\n",
        "$$\n",
        "\\text{Recall}(t) = \\frac{\\text{True Positives}(t)}{\\text{True Positives}(t) + \\text{False Negatives}(t)}\n",
        "$$\n",
        "\n",
        "The resulting Precision-Recall Curve is plotted by connecting the Precision and Recall values computed for all thresholds.\n",
        "\n"
      ],
      "metadata": {
        "id": "7GjKhON6dydK"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "3B9_lfk94FM5"
      },
      "outputs": [],
      "source": [
        "y_cancer_pred = lr_clf.predict(X_cancer_test)\n",
        "cancer_probs = lr_clf.predict_proba(X_cancer_test)\n",
        "print(\"Class Probabilities (first 10):\")\n",
        "print (cancer_probs[:10])\n",
        "y_cancer_scores = cancer_probs[:,1]\n",
        "\n",
        "precision, recall, thresholds = metrics.precision_recall_curve(y_cancer_test, y_cancer_scores)\n",
        "\n",
        "# Plot the Precision-Recall Curve\n",
        "plt.figure(figsize=(8, 6))\n",
        "plt.plot(recall, precision, color='darkorange', lw=2)\n",
        "plt.title(\"Precision-Recall Curve\")\n",
        "plt.xlabel(\"Recall\")\n",
        "plt.ylabel(\"Precision\")\n",
        "plt.grid(True)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "eB7Wdh-44FM6"
      },
      "outputs": [],
      "source": [
        "fpr, tpr, ths = metrics.roc_curve(y_cancer_test,y_cancer_scores)\n",
        "plt.plot(fpr,tpr,color='darkorange',lw=2)\n",
        "print(metrics.roc_auc_score(y_cancer_test,y_cancer_scores))\n",
        "plt.plot([0, 1], [0, 1], color='navy', lw=2, linestyle='--')\n",
        "plt.xlim([0.0, 1.0])\n",
        "plt.ylim([0.0, 1.05])\n",
        "plt.xlabel('False Positive Rate')\n",
        "plt.ylabel('True Positive Rate')\n",
        "plt.title('Receiver operating characteristic example')\n",
        "#plt.legend(loc=\"lower right\")\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "GeDa12-R4FM6",
        "scrolled": false
      },
      "outputs": [],
      "source": [
        "(Xtoy,y_toy)=sk_data.make_classification(n_samples=10000)  # Synthetic dataset for binary classification\n",
        "Xttrain = Xtoy[:8000,:]                                    # X = 20 features\n",
        "Xttest = Xtoy[8000:,:]\n",
        "yttrain = y_toy[:8000]\n",
        "yttest = y_toy[8000:]\n",
        "\n",
        "lr_clf.fit(Xttrain, yttrain)\n",
        "#print(lr_clf.score(Xttest,yttest))\n",
        "#y_tpred = lr_clf.predict(X_test)\n",
        "tprobs = lr_clf.predict_proba(Xttest)\n",
        "print (tprobs[:10])\n",
        "\n",
        "y_tscores = tprobs[:,1]\n",
        "precision, recall, thresholds = metrics.precision_recall_curve(yttest,y_tscores)\n",
        "plt.plot(recall,precision)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "collapsed": true,
        "id": "wqERO-P54FM7"
      },
      "source": [
        "### k-fold cross validation ###\n",
        "\n",
        "In k-fold cross validation the data is split into k equal parts, the k-1 are used for training and the last one for testing. k models are trained, each time leaving a different part for testing\n",
        "\n",
        "https://scikit-learn.org/stable/modules/cross_validation.html\n",
        "\n",
        "There are two methods for implementing k-fold cross-validation, under the library model selection: <a href = https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html>cross_val_score</a>, and <a href = https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_validate.html>cross validate</a>. The latter allows multiple metrics to be considered together."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "geKpRYeU4FM7",
        "outputId": "997c9ff6-9223-4080-d1c3-e1a39035f7b9",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[1.         0.93333333 0.96658312 0.96658312 0.93265993]\n",
            "0.9598319029897977\n"
          ]
        }
      ],
      "source": [
        "import sklearn.model_selection as model_selection\n",
        "\n",
        "scores = model_selection.cross_val_score(#lr_clf,\n",
        "                                          #svm_clf,\n",
        "                                          #knn,\n",
        "                                          dtree,\n",
        "                                          X,\n",
        "                                          y,\n",
        "                                          scoring='f1_weighted',\n",
        "                                          cv=5)\n",
        "print (scores)\n",
        "print (scores.mean())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "mNqCunm74FM8",
        "outputId": "b7042a33-2a2e-4b38-ad01-b91031e73943",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'fit_time': array([0.00221992, 0.00099707, 0.00091362]), 'score_time': array([0.00517941, 0.003649  , 0.0036037 ]), 'test_precision_weighted': array([0.96      , 0.90834586, 0.88308772]), 'test_recall_weighted': array([0.96, 0.9 , 0.88])}\n",
            "0.9171445279866332 0.9133333333333332\n"
          ]
        }
      ],
      "source": [
        "scores = model_selection.cross_validate(#lr_clf,\n",
        "                                          #svm_clf,\n",
        "                                          #knn,\n",
        "                                          dtree,\n",
        "                                          X,\n",
        "                                          y,\n",
        "                                          scoring=['precision_weighted','recall_weighted'],\n",
        "                                          cv=3)\n",
        "print (scores)\n",
        "print (scores['test_precision_weighted'].mean(),scores['test_recall_weighted'].mean())"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xH-aRw2-4FM9"
      },
      "source": [
        "### Creating a pipeline\n",
        "\n",
        "If the same steps are often repeated, you can create a pipeline to perform them all at once:\n",
        "\n",
        "https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jC008ofk4FM9"
      },
      "source": [
        "### Text classification Example ###\n",
        "\n",
        "We will use the 20 newsgroups to do a text classification example"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "dwaBvw_z4FM9",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1305e07f-b321-4031-be3d-a0e544a6e249"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1190\n",
            "791\n"
          ]
        }
      ],
      "source": [
        "from sklearn.datasets import fetch_20newsgroups\n",
        "\n",
        "categories = ['sci.space','rec.sport.baseball']\n",
        "#categories = ['alt.atheism', 'rec.sport.baseball']\n",
        "news_train = sk_data.fetch_20newsgroups(subset='train',\n",
        "                               remove=('headers', 'footers', 'quotes'),\n",
        "                               categories=categories)\n",
        "print (len(news_train.target))\n",
        "X_news_train_data = news_train.data\n",
        "y_news_train = news_train.target\n",
        "news_test = sk_data.fetch_20newsgroups(subset='test',\n",
        "                               remove=('headers', 'footers', 'quotes'),\n",
        "                               categories=categories)\n",
        "print (len(news_test.target))\n",
        "X_news_test_data = news_test.data\n",
        "y_news_test = news_test.target"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "_pyNT6nu4FM-",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 88
        },
        "outputId": "a67b39fb-2f4c-41c5-d168-badee4fa19c0"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "\"I've been saying this for quite some time, but being absent from the\\nnet for a while I figured I'd stick my neck out a bit...\\n\\nThe Royals will set the record for fewest runs scored by an AL\\nteam since the inception of the DH rule.  (p.s. any ideas what this is?)\\n\\nThey will fall easily short of 600 runs, that's for damn sure.  I can't\\nbelieve these media fools picking them to win the division (like our\\nTom Gage of the Detroit News claiming Herk Robinson is some kind of\\ngenius for the trades/aquisitions he's made)\\n\\nc-ya\\n\\nSean\\n\\n\""
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 3
        }
      ],
      "source": [
        "X_news_train_data[0]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "aX0N_N-B4FM_",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "2e78ade6-2d69-49ba-a8c5-3f26c5d625c5"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "np.int64(0)"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ],
      "source": [
        "y_news_train[0]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "wFc5J4dd4FM_",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        },
        "outputId": "2dc68ead-990c-4c1e-c4d7-f0237436aa8b"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LogisticRegression()"
            ],
            "text/html": [
              "<style>#sk-container-id-1 {\n",
              "  /* Definition of color scheme common for light and dark mode */\n",
              "  --sklearn-color-text: #000;\n",
              "  --sklearn-color-text-muted: #666;\n",
              "  --sklearn-color-line: gray;\n",
              "  /* Definition of color scheme for unfitted estimators */\n",
              "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
              "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
              "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
              "  --sklearn-color-unfitted-level-3: chocolate;\n",
              "  /* Definition of color scheme for fitted estimators */\n",
              "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
              "  --sklearn-color-fitted-level-1: #d4ebff;\n",
              "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
              "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
              "\n",
              "  /* Specific color for light theme */\n",
              "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
              "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
              "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
              "  --sklearn-color-icon: #696969;\n",
              "\n",
              "  @media (prefers-color-scheme: dark) {\n",
              "    /* Redefinition of color scheme for dark theme */\n",
              "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
              "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
              "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
              "    --sklearn-color-icon: #878787;\n",
              "  }\n",
              "}\n",
              "\n",
              "#sk-container-id-1 {\n",
              "  color: var(--sklearn-color-text);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 pre {\n",
              "  padding: 0;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 input.sk-hidden--visually {\n",
              "  border: 0;\n",
              "  clip: rect(1px 1px 1px 1px);\n",
              "  clip: rect(1px, 1px, 1px, 1px);\n",
              "  height: 1px;\n",
              "  margin: -1px;\n",
              "  overflow: hidden;\n",
              "  padding: 0;\n",
              "  position: absolute;\n",
              "  width: 1px;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-dashed-wrapped {\n",
              "  border: 1px dashed var(--sklearn-color-line);\n",
              "  margin: 0 0.4em 0.5em 0.4em;\n",
              "  box-sizing: border-box;\n",
              "  padding-bottom: 0.4em;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-container {\n",
              "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
              "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
              "     so we also need the `!important` here to be able to override the\n",
              "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
              "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
              "  display: inline-block !important;\n",
              "  position: relative;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-text-repr-fallback {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              "div.sk-parallel-item,\n",
              "div.sk-serial,\n",
              "div.sk-item {\n",
              "  /* draw centered vertical line to link estimators */\n",
              "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
              "  background-size: 2px 100%;\n",
              "  background-repeat: no-repeat;\n",
              "  background-position: center center;\n",
              "}\n",
              "\n",
              "/* Parallel-specific style estimator block */\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item::after {\n",
              "  content: \"\";\n",
              "  width: 100%;\n",
              "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
              "  flex-grow: 1;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel {\n",
              "  display: flex;\n",
              "  align-items: stretch;\n",
              "  justify-content: center;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  position: relative;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item {\n",
              "  display: flex;\n",
              "  flex-direction: column;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
              "  align-self: flex-end;\n",
              "  width: 50%;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
              "  align-self: flex-start;\n",
              "  width: 50%;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
              "  width: 0;\n",
              "}\n",
              "\n",
              "/* Serial-specific style estimator block */\n",
              "\n",
              "#sk-container-id-1 div.sk-serial {\n",
              "  display: flex;\n",
              "  flex-direction: column;\n",
              "  align-items: center;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  padding-right: 1em;\n",
              "  padding-left: 1em;\n",
              "}\n",
              "\n",
              "\n",
              "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
              "clickable and can be expanded/collapsed.\n",
              "- Pipeline and ColumnTransformer use this feature and define the default style\n",
              "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
              "*/\n",
              "\n",
              "/* Pipeline and ColumnTransformer style (default) */\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable {\n",
              "  /* Default theme specific background. It is overwritten whether we have a\n",
              "  specific estimator or a Pipeline/ColumnTransformer */\n",
              "  background-color: var(--sklearn-color-background);\n",
              "}\n",
              "\n",
              "/* Toggleable label */\n",
              "#sk-container-id-1 label.sk-toggleable__label {\n",
              "  cursor: pointer;\n",
              "  display: flex;\n",
              "  width: 100%;\n",
              "  margin-bottom: 0;\n",
              "  padding: 0.5em;\n",
              "  box-sizing: border-box;\n",
              "  text-align: center;\n",
              "  align-items: start;\n",
              "  justify-content: space-between;\n",
              "  gap: 0.5em;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 label.sk-toggleable__label .caption {\n",
              "  font-size: 0.6rem;\n",
              "  font-weight: lighter;\n",
              "  color: var(--sklearn-color-text-muted);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
              "  /* Arrow on the left of the label */\n",
              "  content: \"▸\";\n",
              "  float: left;\n",
              "  margin-right: 0.25em;\n",
              "  color: var(--sklearn-color-icon);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
              "  color: var(--sklearn-color-text);\n",
              "}\n",
              "\n",
              "/* Toggleable content - dropdown */\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content {\n",
              "  max-height: 0;\n",
              "  max-width: 0;\n",
              "  overflow: hidden;\n",
              "  text-align: left;\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content pre {\n",
              "  margin: 0.2em;\n",
              "  border-radius: 0.25em;\n",
              "  color: var(--sklearn-color-text);\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
              "  /* Expand drop-down */\n",
              "  max-height: 200px;\n",
              "  max-width: 100%;\n",
              "  overflow: auto;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
              "  content: \"▾\";\n",
              "}\n",
              "\n",
              "/* Pipeline/ColumnTransformer-specific style */\n",
              "\n",
              "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Estimator-specific style */\n",
              "\n",
              "/* Colorize estimator box */\n",
              "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
              "#sk-container-id-1 div.sk-label label {\n",
              "  /* The background is the default theme color */\n",
              "  color: var(--sklearn-color-text-on-default-background);\n",
              "}\n",
              "\n",
              "/* On hover, darken the color of the background */\n",
              "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "/* Label box, darken color on hover, fitted */\n",
              "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Estimator label */\n",
              "\n",
              "#sk-container-id-1 div.sk-label label {\n",
              "  font-family: monospace;\n",
              "  font-weight: bold;\n",
              "  display: inline-block;\n",
              "  line-height: 1.2em;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-label-container {\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              "/* Estimator-specific */\n",
              "#sk-container-id-1 div.sk-estimator {\n",
              "  font-family: monospace;\n",
              "  border: 1px dotted var(--sklearn-color-border-box);\n",
              "  border-radius: 0.25em;\n",
              "  box-sizing: border-box;\n",
              "  margin-bottom: 0.5em;\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-estimator.fitted {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "/* on hover */\n",
              "#sk-container-id-1 div.sk-estimator:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
              "\n",
              "/* Common style for \"i\" and \"?\" */\n",
              "\n",
              ".sk-estimator-doc-link,\n",
              "a:link.sk-estimator-doc-link,\n",
              "a:visited.sk-estimator-doc-link {\n",
              "  float: right;\n",
              "  font-size: smaller;\n",
              "  line-height: 1em;\n",
              "  font-family: monospace;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  border-radius: 1em;\n",
              "  height: 1em;\n",
              "  width: 1em;\n",
              "  text-decoration: none !important;\n",
              "  margin-left: 0.5em;\n",
              "  text-align: center;\n",
              "  /* unfitted */\n",
              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-unfitted-level-1);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link.fitted,\n",
              "a:link.sk-estimator-doc-link.fitted,\n",
              "a:visited.sk-estimator-doc-link.fitted {\n",
              "  /* fitted */\n",
              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-fitted-level-1);\n",
              "}\n",
              "\n",
              "/* On hover */\n",
              "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
              ".sk-estimator-doc-link:hover,\n",
              "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
              ".sk-estimator-doc-link:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
              ".sk-estimator-doc-link.fitted:hover,\n",
              "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
              ".sk-estimator-doc-link.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "/* Span, style for the box shown on hovering the info icon */\n",
              ".sk-estimator-doc-link span {\n",
              "  display: none;\n",
              "  z-index: 9999;\n",
              "  position: relative;\n",
              "  font-weight: normal;\n",
              "  right: .2ex;\n",
              "  padding: .5ex;\n",
              "  margin: .5ex;\n",
              "  width: min-content;\n",
              "  min-width: 20ex;\n",
              "  max-width: 50ex;\n",
              "  color: var(--sklearn-color-text);\n",
              "  box-shadow: 2pt 2pt 4pt #999;\n",
              "  /* unfitted */\n",
              "  background: var(--sklearn-color-unfitted-level-0);\n",
              "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link.fitted span {\n",
              "  /* fitted */\n",
              "  background: var(--sklearn-color-fitted-level-0);\n",
              "  border: var(--sklearn-color-fitted-level-3);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link:hover span {\n",
              "  display: block;\n",
              "}\n",
              "\n",
              "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
              "\n",
              "#sk-container-id-1 a.estimator_doc_link {\n",
              "  float: right;\n",
              "  font-size: 1rem;\n",
              "  line-height: 1em;\n",
              "  font-family: monospace;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  border-radius: 1rem;\n",
              "  height: 1rem;\n",
              "  width: 1rem;\n",
              "  text-decoration: none;\n",
              "  /* unfitted */\n",
              "  color: var(--sklearn-color-unfitted-level-1);\n",
              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
              "  /* fitted */\n",
              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-fitted-level-1);\n",
              "}\n",
              "\n",
              "/* On hover */\n",
              "#sk-container-id-1 a.estimator_doc_link:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-3);\n",
              "}\n",
              "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>LogisticRegression</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.6/modules/generated/sklearn.linear_model.LogisticRegression.html\">?<span>Documentation for LogisticRegression</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\"><pre>LogisticRegression()</pre></div> </div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ],
      "source": [
        "from sklearn.linear_model import LinearRegression\n",
        "import sklearn.linear_model as linear_model\n",
        "\n",
        "import sklearn.feature_extraction.text as sk_text\n",
        "\n",
        "vectorizer = sk_text.TfidfVectorizer(stop_words='english',\n",
        "                             #max_features = 1000,\n",
        "                             min_df=4, max_df=0.8)\n",
        "X_news_train = vectorizer.fit_transform(X_news_train_data)\n",
        "\n",
        "lr_clf = linear_model.LogisticRegression(solver='lbfgs')\n",
        "lr_clf.fit(X_news_train, y_news_train)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "id": "gPg5Y8hD4FNA",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "537c1f17-e985-4606-f437-92143be6d264"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "classifier score: 0.9216182048040455\n"
          ]
        }
      ],
      "source": [
        "X_news_test = vectorizer.transform(X_news_test_data)\n",
        "print(\"classifier score:\",lr_clf.score(X_news_test,y_news_test))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Afitl4Pv4FNB"
      },
      "source": [
        "## Word embeddings and Text classification ##\n",
        "\n",
        "We will now see how we can train and use word embeddings."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "K3_mRxVq4FNC"
      },
      "source": [
        "### The Gensim library\n",
        "\n",
        "The [Gensim](https://radimrehurek.com/gensim/index.html) library has several NLP models.\n",
        "\n",
        "You can use existing modules to train a word2vec model:\n",
        "https://radimrehurek.com/gensim/models/word2vec.html"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "id": "_0ujyklf4FNC",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "6ac8858d-110b-4ac3-d97a-1e3f4b976152"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting gensim\n",
            "  Downloading gensim-4.4.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.metadata (8.4 kB)\n",
            "Requirement already satisfied: numpy>=1.18.5 in /usr/local/lib/python3.12/dist-packages (from gensim) (2.0.2)\n",
            "Requirement already satisfied: scipy>=1.7.0 in /usr/local/lib/python3.12/dist-packages (from gensim) (1.16.3)\n",
            "Requirement already satisfied: smart_open>=1.8.1 in /usr/local/lib/python3.12/dist-packages (from gensim) (7.5.0)\n",
            "Requirement already satisfied: wrapt in /usr/local/lib/python3.12/dist-packages (from smart_open>=1.8.1->gensim) (2.0.1)\n",
            "Downloading gensim-4.4.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (27.9 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m27.9/27.9 MB\u001b[0m \u001b[31m64.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: gensim\n",
            "Successfully installed gensim-4.4.0\n"
          ]
        }
      ],
      "source": [
        "!pip install gensim\n",
        "\n",
        "import gensim\n",
        "import gensim.models\n",
        "from gensim.models import Word2Vec\n",
        "from gensim import utils"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "23MhDlYa4FND"
      },
      "source": [
        "The utils library will do preprocessing of the text. It will lower-case and tokenize the text and remove punctuation. The end result is a list with tokens, which is what we need as inpute for training or using the different models."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "id": "NgEBSXCZ4FND"
      },
      "outputs": [],
      "source": [
        "train_gsim = [utils.simple_preprocess(x) for x in X_news_train_data]\n",
        "train_data_labels = [(x,y) for (x,y) in zip(train_gsim, y_news_train) if len(x) > 0]  # Removes documents that become empty after preprocessing (e.g., if all words in a document are stopwords or invalid).\n",
        "X_news_train_gsim = [x for (x,y) in train_data_labels]\n",
        "y_news_train_gsim = [y for (x,y) in train_data_labels]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "id": "Zve_2Fm04FNE"
      },
      "outputs": [],
      "source": [
        "test_gsim = [utils.simple_preprocess(x) for x in X_news_test_data]\n",
        "test_data_labels = [(x,y) for (x,y) in zip(test_gsim, y_news_test) if len(x) > 0]\n",
        "X_news_test_gsim = [x for (x,y) in test_data_labels]\n",
        "y_news_test_gsim = [y for (x,y) in test_data_labels]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "id": "EZFLTyPw4FNE",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d39abb9f-6a17-4eb8-aa38-761287637173"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['ve',\n",
              " 'been',\n",
              " 'saying',\n",
              " 'this',\n",
              " 'for',\n",
              " 'quite',\n",
              " 'some',\n",
              " 'time',\n",
              " 'but',\n",
              " 'being',\n",
              " 'absent',\n",
              " 'from',\n",
              " 'the',\n",
              " 'net',\n",
              " 'for',\n",
              " 'while',\n",
              " 'figured',\n",
              " 'stick',\n",
              " 'my',\n",
              " 'neck',\n",
              " 'out',\n",
              " 'bit',\n",
              " 'the',\n",
              " 'royals',\n",
              " 'will',\n",
              " 'set',\n",
              " 'the',\n",
              " 'record',\n",
              " 'for',\n",
              " 'fewest',\n",
              " 'runs',\n",
              " 'scored',\n",
              " 'by',\n",
              " 'an',\n",
              " 'al',\n",
              " 'team',\n",
              " 'since',\n",
              " 'the',\n",
              " 'inception',\n",
              " 'of',\n",
              " 'the',\n",
              " 'dh',\n",
              " 'rule',\n",
              " 'any',\n",
              " 'ideas',\n",
              " 'what',\n",
              " 'this',\n",
              " 'is',\n",
              " 'they',\n",
              " 'will',\n",
              " 'fall',\n",
              " 'easily',\n",
              " 'short',\n",
              " 'of',\n",
              " 'runs',\n",
              " 'that',\n",
              " 'for',\n",
              " 'damn',\n",
              " 'sure',\n",
              " 'can',\n",
              " 'believe',\n",
              " 'these',\n",
              " 'media',\n",
              " 'fools',\n",
              " 'picking',\n",
              " 'them',\n",
              " 'to',\n",
              " 'win',\n",
              " 'the',\n",
              " 'division',\n",
              " 'like',\n",
              " 'our',\n",
              " 'tom',\n",
              " 'gage',\n",
              " 'of',\n",
              " 'the',\n",
              " 'detroit',\n",
              " 'news',\n",
              " 'claiming',\n",
              " 'herk',\n",
              " 'robinson',\n",
              " 'is',\n",
              " 'some',\n",
              " 'kind',\n",
              " 'of',\n",
              " 'genius',\n",
              " 'for',\n",
              " 'the',\n",
              " 'trades',\n",
              " 'aquisitions',\n",
              " 'he',\n",
              " 'made',\n",
              " 'ya',\n",
              " 'sean']"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ],
      "source": [
        "X_news_train_gsim[0]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NoYRRY_d4FNF"
      },
      "source": [
        "Train a CBOW (Continuous Bag Of Words) embedding on the training data corpus"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "![image.png](data:image/png;base64,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)"
      ],
      "metadata": {
        "id": "ikGhJQQfw9Tv"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Machine learning models cannot understand text; they only understand numbers. Word2Vec is a technique to turn words into lists of numbers (vectors) so that words with similar meanings have similar numbers."
      ],
      "metadata": {
        "id": "omCrK01xv9Z-"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "id": "gw7ZO2Hd4FNF"
      },
      "outputs": [],
      "source": [
        "embedding_size = 50 # Resolution of the word understanding: Each word (\"apple\", \"king\", etc...) is represented as a list of 50 numbers.\n",
        "cbow_model = gensim.models.Word2Vec(X_news_train_gsim, min_count = 1,vector_size = embedding_size, window = 10) # attention span\": looks at 10 words to the left and 10 words to the right."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PM_IpD4B4FNF"
      },
      "source": [
        "We now have a representation of the words as 50-dimensional real vectors"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "id": "Tatb6YDR4FNG",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "2ceaa17f-ef96-4650-e4ad-45a7e10741f7"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([-0.15768205, -0.15172504, -0.12478593,  0.12387501, -0.27375695,\n",
              "       -0.32890198,  0.29313874,  0.8522625 , -0.48969692, -0.08721875,\n",
              "        0.1272012 , -0.6764343 ,  0.14053679,  0.5181793 , -0.2863375 ,\n",
              "        0.18444148,  0.47363278,  0.05032672, -0.6023291 , -0.57959276,\n",
              "        0.29312116,  0.30031574,  0.70870405, -0.30768996,  0.6378389 ,\n",
              "        0.13288465, -0.27912104,  0.05217481, -0.64838284,  0.2454371 ,\n",
              "        0.04064707,  0.06659085,  0.04146409, -0.06713676, -0.33795828,\n",
              "        0.19997104,  0.35694647, -0.21540166,  0.3260302 , -0.06656712,\n",
              "        0.33125332,  0.02459017,  0.08362663, -0.02666873,  0.672934  ,\n",
              "       -0.19353233, -0.10657518, -0.18800081,  0.5240707 ,  0.2803613 ],\n",
              "      dtype=float32)"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ],
      "source": [
        "cbow_model.wv['pitch']"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "![image.png](data:image/png;base64,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)"
      ],
      "metadata": {
        "id": "vp4DvxpgTvRy"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UlTOWzVs4FNH"
      },
      "source": [
        "We can use this to find similar words"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "id": "ftifdZ9U4FNH",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "2007f522-5c80-4962-8387-33957bfe7868"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('great', 0.9990735650062561),\n",
              " ('against', 0.9990703463554382),\n",
              " ('wasn', 0.998989462852478),\n",
              " ('down', 0.9989439845085144),\n",
              " ('every', 0.9989256262779236),\n",
              " ('average', 0.9988952875137329),\n",
              " ('very', 0.9988757967948914),\n",
              " ('am', 0.9988664984703064),\n",
              " ('again', 0.9988647699356079),\n",
              " ('run', 0.9988623857498169)]"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ],
      "source": [
        "cbow_model.wv.most_similar('pitch')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ohwDaxbk4FNI"
      },
      "source": [
        "Use the additivity property: Chicago + Cubs - Boston = Sox\n",
        "\n",
        "Teams: Chicago Cubs and Boston Red Sox"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "id": "6BDDcunD4FNI",
        "scrolled": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "2eb32076-d1b5-445f-e3f4-c70260b91a89"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('suck', 0.9981583952903748),\n",
              " ('detroit', 0.9950345158576965),\n",
              " ('road', 0.9944502711296082),\n",
              " ('milwaukee', 0.9943985342979431),\n",
              " ('astros', 0.9943371415138245),\n",
              " ('st', 0.9942942261695862),\n",
              " ('hernandez', 0.994268536567688),\n",
              " ('west', 0.9942171573638916),\n",
              " ('won', 0.9941810965538025),\n",
              " ('slg', 0.9940813779830933)]"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ],
      "source": [
        "cbow_model.wv.most_similar(positive=['chicago','cubs'],negative=['boston'])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7yLWyFOH4FNI"
      },
      "source": [
        "Use the word embeddings to obtain a vector representation of the document by taking the average of the embeddings of the words. Transform the train and test data\n",
        "\n",
        "Average Embending Vector = \"Summary\" Vector for the Document"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "id": "bjErUJhz4FNJ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1030ee54-9c23-44c3-92d7-68094d93afbc"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([-0.4029563 , -0.33122525, -0.30095032,  0.21110743, -0.5092193 ,\n",
              "       -0.7030677 ,  0.5381219 ,  1.8370438 , -1.0126023 , -0.14332198,\n",
              "        0.25449035, -1.3880475 ,  0.29733127,  1.1351492 , -0.5628445 ,\n",
              "        0.41576612,  1.0588037 ,  0.28731224, -1.2441657 , -1.1561385 ,\n",
              "        0.6357985 ,  0.651013  ,  1.4021233 , -0.6070939 ,  1.3530061 ,\n",
              "        0.268321  , -0.6106677 ,  0.17058086, -1.3819162 ,  0.4244899 ,\n",
              "        0.07523321,  0.05736452,  0.13832642, -0.12398918, -0.7068729 ,\n",
              "        0.43235666,  0.7909126 , -0.4662388 ,  0.73772854, -0.12105183,\n",
              "        0.6979285 ,  0.06914084,  0.19897568, -0.16035889,  1.4181232 ,\n",
              "       -0.32762772, -0.21987288, -0.3918733 ,  1.0586956 ,  0.5894503 ],\n",
              "      dtype=float32)"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ],
      "source": [
        "np.array([cbow_model.wv[x] for x in X_news_train_gsim[0]]).mean(axis = 0)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "id": "Zv0DsMxa4FNJ"
      },
      "outputs": [],
      "source": [
        "X_news_train_cbow = [np.array([cbow_model.wv[x] for x in y]).mean(axis = 0) for y in X_news_train_gsim]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "id": "EXsNUjRD4FNK"
      },
      "outputs": [],
      "source": [
        "X_news_test_cbow = [np.array([cbow_model.wv[x] for x in y if x in cbow_model.wv]).mean(axis = 0) for y in X_news_test_gsim]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "e5wJIEds4FNK"
      },
      "source": [
        "Train a classifier on the embeddings"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "id": "F-tcQTkr4FNK",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        },
        "outputId": "a38ca437-e970-444e-9dd6-826e7478be8b"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LogisticRegression()"
            ],
            "text/html": [
              "<style>#sk-container-id-3 {\n",
              "  /* Definition of color scheme common for light and dark mode */\n",
              "  --sklearn-color-text: #000;\n",
              "  --sklearn-color-text-muted: #666;\n",
              "  --sklearn-color-line: gray;\n",
              "  /* Definition of color scheme for unfitted estimators */\n",
              "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
              "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
              "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
              "  --sklearn-color-unfitted-level-3: chocolate;\n",
              "  /* Definition of color scheme for fitted estimators */\n",
              "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
              "  --sklearn-color-fitted-level-1: #d4ebff;\n",
              "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
              "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
              "\n",
              "  /* Specific color for light theme */\n",
              "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
              "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
              "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
              "  --sklearn-color-icon: #696969;\n",
              "\n",
              "  @media (prefers-color-scheme: dark) {\n",
              "    /* Redefinition of color scheme for dark theme */\n",
              "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
              "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
              "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
              "    --sklearn-color-icon: #878787;\n",
              "  }\n",
              "}\n",
              "\n",
              "#sk-container-id-3 {\n",
              "  color: var(--sklearn-color-text);\n",
              "}\n",
              "\n",
              "#sk-container-id-3 pre {\n",
              "  padding: 0;\n",
              "}\n",
              "\n",
              "#sk-container-id-3 input.sk-hidden--visually {\n",
              "  border: 0;\n",
              "  clip: rect(1px 1px 1px 1px);\n",
              "  clip: rect(1px, 1px, 1px, 1px);\n",
              "  height: 1px;\n",
              "  margin: -1px;\n",
              "  overflow: hidden;\n",
              "  padding: 0;\n",
              "  position: absolute;\n",
              "  width: 1px;\n",
              "}\n",
              "\n",
              "#sk-container-id-3 div.sk-dashed-wrapped {\n",
              "  border: 1px dashed var(--sklearn-color-line);\n",
              "  margin: 0 0.4em 0.5em 0.4em;\n",
              "  box-sizing: border-box;\n",
              "  padding-bottom: 0.4em;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "}\n",
              "\n",
              "#sk-container-id-3 div.sk-container {\n",
              "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
              "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
              "     so we also need the `!important` here to be able to override the\n",
              "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
              "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
              "  display: inline-block !important;\n",
              "  position: relative;\n",
              "}\n",
              "\n",
              "#sk-container-id-3 div.sk-text-repr-fallback {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              "div.sk-parallel-item,\n",
              "div.sk-serial,\n",
              "div.sk-item {\n",
              "  /* draw centered vertical line to link estimators */\n",
              "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
              "  background-size: 2px 100%;\n",
              "  background-repeat: no-repeat;\n",
              "  background-position: center center;\n",
              "}\n",
              "\n",
              "/* Parallel-specific style estimator block */\n",
              "\n",
              "#sk-container-id-3 div.sk-parallel-item::after {\n",
              "  content: \"\";\n",
              "  width: 100%;\n",
              "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
              "  flex-grow: 1;\n",
              "}\n",
              "\n",
              "#sk-container-id-3 div.sk-parallel {\n",
              "  display: flex;\n",
              "  align-items: stretch;\n",
              "  justify-content: center;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  position: relative;\n",
              "}\n",
              "\n",
              "#sk-container-id-3 div.sk-parallel-item {\n",
              "  display: flex;\n",
              "  flex-direction: column;\n",
              "}\n",
              "\n",
              "#sk-container-id-3 div.sk-parallel-item:first-child::after {\n",
              "  align-self: flex-end;\n",
              "  width: 50%;\n",
              "}\n",
              "\n",
              "#sk-container-id-3 div.sk-parallel-item:last-child::after {\n",
              "  align-self: flex-start;\n",
              "  width: 50%;\n",
              "}\n",
              "\n",
              "#sk-container-id-3 div.sk-parallel-item:only-child::after {\n",
              "  width: 0;\n",
              "}\n",
              "\n",
              "/* Serial-specific style estimator block */\n",
              "\n",
              "#sk-container-id-3 div.sk-serial {\n",
              "  display: flex;\n",
              "  flex-direction: column;\n",
              "  align-items: center;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  padding-right: 1em;\n",
              "  padding-left: 1em;\n",
              "}\n",
              "\n",
              "\n",
              "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
              "clickable and can be expanded/collapsed.\n",
              "- Pipeline and ColumnTransformer use this feature and define the default style\n",
              "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
              "*/\n",
              "\n",
              "/* Pipeline and ColumnTransformer style (default) */\n",
              "\n",
              "#sk-container-id-3 div.sk-toggleable {\n",
              "  /* Default theme specific background. It is overwritten whether we have a\n",
              "  specific estimator or a Pipeline/ColumnTransformer */\n",
              "  background-color: var(--sklearn-color-background);\n",
              "}\n",
              "\n",
              "/* Toggleable label */\n",
              "#sk-container-id-3 label.sk-toggleable__label {\n",
              "  cursor: pointer;\n",
              "  display: flex;\n",
              "  width: 100%;\n",
              "  margin-bottom: 0;\n",
              "  padding: 0.5em;\n",
              "  box-sizing: border-box;\n",
              "  text-align: center;\n",
              "  align-items: start;\n",
              "  justify-content: space-between;\n",
              "  gap: 0.5em;\n",
              "}\n",
              "\n",
              "#sk-container-id-3 label.sk-toggleable__label .caption {\n",
              "  font-size: 0.6rem;\n",
              "  font-weight: lighter;\n",
              "  color: var(--sklearn-color-text-muted);\n",
              "}\n",
              "\n",
              "#sk-container-id-3 label.sk-toggleable__label-arrow:before {\n",
              "  /* Arrow on the left of the label */\n",
              "  content: \"▸\";\n",
              "  float: left;\n",
              "  margin-right: 0.25em;\n",
              "  color: var(--sklearn-color-icon);\n",
              "}\n",
              "\n",
              "#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {\n",
              "  color: var(--sklearn-color-text);\n",
              "}\n",
              "\n",
              "/* Toggleable content - dropdown */\n",
              "\n",
              "#sk-container-id-3 div.sk-toggleable__content {\n",
              "  max-height: 0;\n",
              "  max-width: 0;\n",
              "  overflow: hidden;\n",
              "  text-align: left;\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-3 div.sk-toggleable__content.fitted {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-3 div.sk-toggleable__content pre {\n",
              "  margin: 0.2em;\n",
              "  border-radius: 0.25em;\n",
              "  color: var(--sklearn-color-text);\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-3 div.sk-toggleable__content.fitted pre {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
              "  /* Expand drop-down */\n",
              "  max-height: 200px;\n",
              "  max-width: 100%;\n",
              "  overflow: auto;\n",
              "}\n",
              "\n",
              "#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
              "  content: \"▾\";\n",
              "}\n",
              "\n",
              "/* Pipeline/ColumnTransformer-specific style */\n",
              "\n",
              "#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-3 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Estimator-specific style */\n",
              "\n",
              "/* Colorize estimator box */\n",
              "#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-3 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-3 div.sk-label label.sk-toggleable__label,\n",
              "#sk-container-id-3 div.sk-label label {\n",
              "  /* The background is the default theme color */\n",
              "  color: var(--sklearn-color-text-on-default-background);\n",
              "}\n",
              "\n",
              "/* On hover, darken the color of the background */\n",
              "#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "/* Label box, darken color on hover, fitted */\n",
              "#sk-container-id-3 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Estimator label */\n",
              "\n",
              "#sk-container-id-3 div.sk-label label {\n",
              "  font-family: monospace;\n",
              "  font-weight: bold;\n",
              "  display: inline-block;\n",
              "  line-height: 1.2em;\n",
              "}\n",
              "\n",
              "#sk-container-id-3 div.sk-label-container {\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              "/* Estimator-specific */\n",
              "#sk-container-id-3 div.sk-estimator {\n",
              "  font-family: monospace;\n",
              "  border: 1px dotted var(--sklearn-color-border-box);\n",
              "  border-radius: 0.25em;\n",
              "  box-sizing: border-box;\n",
              "  margin-bottom: 0.5em;\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-3 div.sk-estimator.fitted {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "/* on hover */\n",
              "#sk-container-id-3 div.sk-estimator:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-3 div.sk-estimator.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
              "\n",
              "/* Common style for \"i\" and \"?\" */\n",
              "\n",
              ".sk-estimator-doc-link,\n",
              "a:link.sk-estimator-doc-link,\n",
              "a:visited.sk-estimator-doc-link {\n",
              "  float: right;\n",
              "  font-size: smaller;\n",
              "  line-height: 1em;\n",
              "  font-family: monospace;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  border-radius: 1em;\n",
              "  height: 1em;\n",
              "  width: 1em;\n",
              "  text-decoration: none !important;\n",
              "  margin-left: 0.5em;\n",
              "  text-align: center;\n",
              "  /* unfitted */\n",
              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-unfitted-level-1);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link.fitted,\n",
              "a:link.sk-estimator-doc-link.fitted,\n",
              "a:visited.sk-estimator-doc-link.fitted {\n",
              "  /* fitted */\n",
              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-fitted-level-1);\n",
              "}\n",
              "\n",
              "/* On hover */\n",
              "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
              ".sk-estimator-doc-link:hover,\n",
              "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
              ".sk-estimator-doc-link:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
              ".sk-estimator-doc-link.fitted:hover,\n",
              "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
              ".sk-estimator-doc-link.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "/* Span, style for the box shown on hovering the info icon */\n",
              ".sk-estimator-doc-link span {\n",
              "  display: none;\n",
              "  z-index: 9999;\n",
              "  position: relative;\n",
              "  font-weight: normal;\n",
              "  right: .2ex;\n",
              "  padding: .5ex;\n",
              "  margin: .5ex;\n",
              "  width: min-content;\n",
              "  min-width: 20ex;\n",
              "  max-width: 50ex;\n",
              "  color: var(--sklearn-color-text);\n",
              "  box-shadow: 2pt 2pt 4pt #999;\n",
              "  /* unfitted */\n",
              "  background: var(--sklearn-color-unfitted-level-0);\n",
              "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link.fitted span {\n",
              "  /* fitted */\n",
              "  background: var(--sklearn-color-fitted-level-0);\n",
              "  border: var(--sklearn-color-fitted-level-3);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link:hover span {\n",
              "  display: block;\n",
              "}\n",
              "\n",
              "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
              "\n",
              "#sk-container-id-3 a.estimator_doc_link {\n",
              "  float: right;\n",
              "  font-size: 1rem;\n",
              "  line-height: 1em;\n",
              "  font-family: monospace;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  border-radius: 1rem;\n",
              "  height: 1rem;\n",
              "  width: 1rem;\n",
              "  text-decoration: none;\n",
              "  /* unfitted */\n",
              "  color: var(--sklearn-color-unfitted-level-1);\n",
              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
              "}\n",
              "\n",
              "#sk-container-id-3 a.estimator_doc_link.fitted {\n",
              "  /* fitted */\n",
              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-fitted-level-1);\n",
              "}\n",
              "\n",
              "/* On hover */\n",
              "#sk-container-id-3 a.estimator_doc_link:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "#sk-container-id-3 a.estimator_doc_link.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-3);\n",
              "}\n",
              "</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" checked><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>LogisticRegression</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.6/modules/generated/sklearn.linear_model.LogisticRegression.html\">?<span>Documentation for LogisticRegression</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\"><pre>LogisticRegression()</pre></div> </div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ],
      "source": [
        "lr_clf.fit(np.array(X_news_train_cbow), np.array(y_news_train_gsim))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "id": "GcPkoS_D4FNL",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "65032510-843c-4583-d89e-05dbc0d754de"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.7889182058047494"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ],
      "source": [
        "lr_clf.score(np.array(X_news_test_cbow),y_news_test_gsim)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EoYmcLbC4FNL"
      },
      "source": [
        "Train a SkipGram embedding on the training data corpus"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "![image.png](data:image/png;base64,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)"
      ],
      "metadata": {
        "id": "oLYebqQqyxEL"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "CBOW vs. Skip-gram\n",
        "\n",
        "In the code above, we trained a **Word2Vec** model. But how does it actually learn?\n",
        "\n",
        "Word2Vec is not just one algorithm; it is a family of two distinct architectures that learn word meanings in opposite ways.\n",
        "\n",
        "1. Continuous Bag of Words (CBOW)\n",
        "* **The Goal:** Predict the **Target Word** based on the **Context** (surrounding words).\n",
        "* **The Analogy:** A \"Fill in the blank\" game.\n",
        "* **Example:**\n",
        "    * *Context:* `[\"The\", \"cat\", \"sits\", \"on\"]`\n",
        "    * *Target:* `?`\n",
        "    * *Prediction:* `\"mat\"`\n",
        "* **Why use it?** It is generally **faster** to train and produces slightly better accuracy for frequent words.\n",
        "* **Note:** This is the default method in `gensim` (which we used above).\n",
        "\n",
        "---\n",
        "\n",
        "2. Skip-gram\n",
        "* **The Goal:** Predict the **Context** (surrounding words) based on the **Target Word**.\n",
        "* **The Analogy:** The reverse of CBOW. You are given one word and have to guess the \"story\" around it.\n",
        "* **Example:**\n",
        "    * *Target:* `\"mat\"`\n",
        "    * *Prediction:* `[\"The\", \"cat\", \"sits\", \"on\"]`\n",
        "* **Why use it?** It is slower to train but works much better for **small datasets** and **rare words**.\n"
      ],
      "metadata": {
        "id": "cZgIoSwLyxb3"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "id": "xRAbA8Pm4FNM"
      },
      "outputs": [],
      "source": [
        "embedding_size = 50\n",
        "skipgram_model = gensim.models.Word2Vec(X_news_train_gsim, min_count = 1,vector_size = embedding_size, window = 10, sg = 1)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2fIaduo34FNM"
      },
      "source": [
        "Transform the train and test data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "id": "k22v5Ewl4FNM"
      },
      "outputs": [],
      "source": [
        "X_news_train_skipgram = [np.array([skipgram_model.wv[x] for x in y]).mean(axis = 0) for y in X_news_train_gsim]\n",
        "\n",
        "X_news_test_skipgram = [np.array([skipgram_model.wv[x] for x in y if x in skipgram_model.wv]).mean(axis = 0) for y in X_news_test_gsim]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WKjhjY4v4FNM"
      },
      "source": [
        "Train a classifier on the emebddings"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "id": "c74ETSas4FNN",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "58754e08-5f14-46e0-b747-ab014ef26416"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.9261213720316622"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ],
      "source": [
        "lr_clf.fit(np.array(X_news_train_skipgram), np.array(y_news_train_gsim))\n",
        "\n",
        "lr_clf.score(np.array(X_news_test_skipgram),y_news_test_gsim)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "okL5f7Eq4FNN"
      },
      "source": [
        "You can also download the Google word2vec model trained over millions of documents (use pre-trained models)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 43,
      "metadata": {
        "id": "RKERP1uW4FNN",
        "outputId": "c8705c1f-f91c-45a8-bf4a-4d2f25cb7be0",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[==================================================] 100.0% 1662.8/1662.8MB downloaded\n",
            "/root/gensim-data/word2vec-google-news-300/word2vec-google-news-300.gz\n"
          ]
        }
      ],
      "source": [
        "import gensim.downloader as api\n",
        "path = api.load(\"word2vec-google-news-300\", return_path=True)\n",
        "print(path)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 44,
      "metadata": {
        "id": "I8hO0gBw4FNO"
      },
      "outputs": [],
      "source": [
        "#path = 'C:\\\\Users\\\\tsapa/gensim-data\\word2vec-google-news-300\\word2vec-google-news-300.gz'\n",
        "g_model = gensim.models.KeyedVectors.load_word2vec_format(path, binary=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 45,
      "metadata": {
        "id": "GvEwEJiN4FNO",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "3631a9d5-f77e-4046-e18d-8fbdc4f3ef09"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "300\n",
            "[-0.05419922  0.01708984 -0.00527954  0.33203125 -0.25       -0.01397705\n",
            " -0.15039062 -0.265625    0.01647949  0.3828125  -0.03295898 -0.09716797\n",
            " -0.16308594 -0.04443359  0.00946045  0.18457031  0.03637695  0.16601562\n",
            "  0.36328125 -0.25585938  0.375       0.171875    0.21386719 -0.19921875\n",
            "  0.13085938 -0.07275391 -0.02819824  0.11621094  0.15332031  0.09082031\n",
            "  0.06787109 -0.0300293  -0.16894531 -0.20800781 -0.03710938 -0.22753906\n",
            "  0.26367188  0.012146    0.18359375  0.31054688 -0.10791016 -0.19140625\n",
            "  0.21582031  0.13183594 -0.03515625  0.18554688 -0.30859375  0.04785156\n",
            " -0.10986328  0.14355469 -0.43554688 -0.0378418   0.10839844  0.140625\n",
            " -0.10595703  0.26171875 -0.17089844  0.39453125  0.12597656 -0.27734375\n",
            " -0.28125     0.14746094 -0.20996094  0.02355957  0.18457031  0.00445557\n",
            " -0.27929688 -0.03637695 -0.29296875  0.19628906  0.20703125  0.2890625\n",
            " -0.20507812  0.06787109 -0.43164062 -0.10986328 -0.2578125  -0.02331543\n",
            "  0.11328125  0.23144531 -0.04418945  0.10839844 -0.2890625  -0.09521484\n",
            " -0.10351562 -0.0324707   0.07763672 -0.13378906  0.22949219  0.06298828\n",
            "  0.08349609  0.02929688 -0.11474609  0.00534058 -0.12988281  0.02514648\n",
            "  0.08789062  0.24511719 -0.11474609 -0.296875   -0.59375    -0.29492188\n",
            " -0.13378906  0.27734375 -0.04174805  0.11621094  0.28320312  0.00241089\n",
            "  0.13867188 -0.00683594 -0.30078125  0.16210938  0.01171875 -0.13867188\n",
            "  0.48828125  0.02880859  0.02416992  0.04736328  0.05859375 -0.23828125\n",
            "  0.02758789  0.05981445 -0.03857422  0.06933594  0.14941406 -0.10888672\n",
            " -0.07324219  0.08789062  0.27148438  0.06591797 -0.37890625 -0.26171875\n",
            " -0.13183594  0.09570312 -0.3125      0.10205078  0.03063965  0.23632812\n",
            "  0.00582886  0.27734375  0.20507812 -0.17871094 -0.31445312 -0.01586914\n",
            "  0.13964844  0.13574219  0.0390625  -0.29296875  0.234375   -0.33984375\n",
            " -0.11816406  0.10644531 -0.18457031 -0.02099609  0.02563477  0.25390625\n",
            "  0.07275391  0.13574219 -0.00138092 -0.2578125  -0.2890625   0.10107422\n",
            "  0.19238281 -0.04882812  0.27929688 -0.3359375  -0.07373047  0.01879883\n",
            " -0.10986328 -0.04614258  0.15722656  0.06689453 -0.03417969  0.16308594\n",
            "  0.08642578  0.44726562  0.02026367 -0.01977539  0.07958984  0.17773438\n",
            " -0.04370117 -0.00952148  0.16503906  0.17285156  0.23144531 -0.04272461\n",
            "  0.02355957  0.18359375 -0.41601562 -0.01745605  0.16796875  0.04736328\n",
            "  0.14257812  0.08496094  0.33984375  0.1484375  -0.34375    -0.14160156\n",
            " -0.06835938 -0.14648438 -0.02844238  0.07421875 -0.07666016  0.12695312\n",
            "  0.05859375 -0.07568359 -0.03344727  0.23632812 -0.16308594  0.16503906\n",
            "  0.1484375  -0.2421875  -0.3515625  -0.30664062  0.00491333  0.17675781\n",
            "  0.46289062  0.14257812 -0.25       -0.25976562  0.04370117  0.34960938\n",
            "  0.05957031  0.07617188 -0.02868652 -0.09667969 -0.01281738  0.05859375\n",
            " -0.22949219 -0.1953125  -0.12207031  0.20117188 -0.42382812  0.06005859\n",
            "  0.50390625  0.20898438  0.11230469 -0.06054688  0.33203125  0.07421875\n",
            " -0.05786133  0.11083984 -0.06494141  0.05639648  0.01757812  0.08398438\n",
            "  0.13769531  0.2578125   0.16796875 -0.16894531  0.01794434  0.16015625\n",
            "  0.26171875  0.31640625 -0.24804688  0.05371094 -0.0859375   0.17089844\n",
            " -0.39453125 -0.00156403 -0.07324219 -0.04614258 -0.16210938 -0.15722656\n",
            "  0.21289062 -0.15820312  0.04394531  0.28515625  0.01196289 -0.26953125\n",
            " -0.04370117  0.37109375  0.04663086 -0.19726562  0.3046875  -0.36523438\n",
            " -0.23632812  0.08056641 -0.04248047 -0.14648438 -0.06225586 -0.0534668\n",
            " -0.05664062  0.18945312  0.37109375 -0.22070312  0.04638672  0.02612305\n",
            " -0.11474609  0.265625   -0.02453613  0.11083984 -0.02514648 -0.12060547\n",
            "  0.05297852  0.07128906  0.00063705 -0.36523438 -0.13769531 -0.12890625]\n"
          ]
        }
      ],
      "source": [
        "print(len(g_model['hello']))\n",
        "print(g_model['hello'])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Zcv0Cg784FNO"
      },
      "source": [
        "The commands below are too slow, and run out of memory"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 46,
      "metadata": {
        "id": "lPtDb_Gk4FNP",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "beca6773-2725-4be0-ab77-463eebfe9557"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('pitches', 0.7401652932167053),\n",
              " ('backdoor_slider', 0.5972762107849121),\n",
              " ('fastball', 0.5737808346748352),\n",
              " ('curveball', 0.5543882846832275),\n",
              " ('hanging_slider', 0.5523896217346191),\n",
              " ('hittable_pitch', 0.5503243207931519),\n",
              " ('leadoff_batter_Cliff_Floyd', 0.5496907830238342),\n",
              " ('offspeed_pitch', 0.547758936882019),\n",
              " ('atbat', 0.5441111326217651),\n",
              " ('yaw_converters_SCADA', 0.5410848259925842)]"
            ]
          },
          "metadata": {},
          "execution_count": 46
        }
      ],
      "source": [
        "g_model.most_similar('pitch')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 47,
      "metadata": {
        "id": "wOtQ0cPY4FNP",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "203cfc64-71c5-41dd-b146-2e3ca5951ff3"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('queen', 0.7118193507194519),\n",
              " ('monarch', 0.6189674139022827),\n",
              " ('princess', 0.5902431011199951),\n",
              " ('crown_prince', 0.5499460697174072),\n",
              " ('prince', 0.5377321839332581),\n",
              " ('kings', 0.5236844420433044),\n",
              " ('Queen_Consort', 0.5235945582389832),\n",
              " ('queens', 0.518113374710083),\n",
              " ('sultan', 0.5098593235015869),\n",
              " ('monarchy', 0.5087411403656006)]"
            ]
          },
          "metadata": {},
          "execution_count": 47
        }
      ],
      "source": [
        "g_model.most_similar(positive=['woman','king'],negative=['man'])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "L1dnLFJH4FNQ"
      },
      "source": [
        "Transform the train and test data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 48,
      "metadata": {
        "id": "RyqZ4iR34FNQ"
      },
      "outputs": [],
      "source": [
        "train_gmodel = [[g_model[x] for x in y if x in g_model] for y in X_news_train_gsim]\n",
        "train_data_labels = [(x,y) for (x,y) in zip(train_gmodel, y_news_train) if len(x) > 0]\n",
        "X_news_train_gm = [np.array(x) for (x,y) in train_data_labels]\n",
        "y_news_train_gm = [y for (x,y) in train_data_labels]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 49,
      "metadata": {
        "id": "pGYo5F9y4FNR"
      },
      "outputs": [],
      "source": [
        "X_news_train_gmodel = [x.mean(axis = 0) for x in X_news_train_gm]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 50,
      "metadata": {
        "id": "CDGvNTUU4FNR"
      },
      "outputs": [],
      "source": [
        "test_gmodel = [[g_model[x] for x in y if x in g_model] for y in X_news_test_gsim]\n",
        "test_data_labels = [(x,y) for (x,y) in zip(test_gmodel, y_news_test) if len(x) > 0]\n",
        "X_news_test_gm = [np.array(x) for (x,y) in test_data_labels]\n",
        "y_news_test_gm = [y for (x,y) in test_data_labels]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 51,
      "metadata": {
        "id": "mrlYrQH54FNS"
      },
      "outputs": [],
      "source": [
        "X_news_test_gmodel = [x.mean(axis = 0) for x in X_news_test_gm]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GUkPqDGE4FNS"
      },
      "source": [
        "Train a classifier on the emebddings"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 52,
      "metadata": {
        "id": "R6-kojLt4FNT",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        },
        "outputId": "495ff21a-ab9b-4142-c45f-12d96572668e"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LogisticRegression()"
            ],
            "text/html": [
              "<style>#sk-container-id-5 {\n",
              "  /* Definition of color scheme common for light and dark mode */\n",
              "  --sklearn-color-text: #000;\n",
              "  --sklearn-color-text-muted: #666;\n",
              "  --sklearn-color-line: gray;\n",
              "  /* Definition of color scheme for unfitted estimators */\n",
              "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
              "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
              "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
              "  --sklearn-color-unfitted-level-3: chocolate;\n",
              "  /* Definition of color scheme for fitted estimators */\n",
              "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
              "  --sklearn-color-fitted-level-1: #d4ebff;\n",
              "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
              "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
              "\n",
              "  /* Specific color for light theme */\n",
              "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
              "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
              "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
              "  --sklearn-color-icon: #696969;\n",
              "\n",
              "  @media (prefers-color-scheme: dark) {\n",
              "    /* Redefinition of color scheme for dark theme */\n",
              "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
              "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
              "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
              "    --sklearn-color-icon: #878787;\n",
              "  }\n",
              "}\n",
              "\n",
              "#sk-container-id-5 {\n",
              "  color: var(--sklearn-color-text);\n",
              "}\n",
              "\n",
              "#sk-container-id-5 pre {\n",
              "  padding: 0;\n",
              "}\n",
              "\n",
              "#sk-container-id-5 input.sk-hidden--visually {\n",
              "  border: 0;\n",
              "  clip: rect(1px 1px 1px 1px);\n",
              "  clip: rect(1px, 1px, 1px, 1px);\n",
              "  height: 1px;\n",
              "  margin: -1px;\n",
              "  overflow: hidden;\n",
              "  padding: 0;\n",
              "  position: absolute;\n",
              "  width: 1px;\n",
              "}\n",
              "\n",
              "#sk-container-id-5 div.sk-dashed-wrapped {\n",
              "  border: 1px dashed var(--sklearn-color-line);\n",
              "  margin: 0 0.4em 0.5em 0.4em;\n",
              "  box-sizing: border-box;\n",
              "  padding-bottom: 0.4em;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "}\n",
              "\n",
              "#sk-container-id-5 div.sk-container {\n",
              "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
              "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
              "     so we also need the `!important` here to be able to override the\n",
              "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
              "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
              "  display: inline-block !important;\n",
              "  position: relative;\n",
              "}\n",
              "\n",
              "#sk-container-id-5 div.sk-text-repr-fallback {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              "div.sk-parallel-item,\n",
              "div.sk-serial,\n",
              "div.sk-item {\n",
              "  /* draw centered vertical line to link estimators */\n",
              "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
              "  background-size: 2px 100%;\n",
              "  background-repeat: no-repeat;\n",
              "  background-position: center center;\n",
              "}\n",
              "\n",
              "/* Parallel-specific style estimator block */\n",
              "\n",
              "#sk-container-id-5 div.sk-parallel-item::after {\n",
              "  content: \"\";\n",
              "  width: 100%;\n",
              "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
              "  flex-grow: 1;\n",
              "}\n",
              "\n",
              "#sk-container-id-5 div.sk-parallel {\n",
              "  display: flex;\n",
              "  align-items: stretch;\n",
              "  justify-content: center;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  position: relative;\n",
              "}\n",
              "\n",
              "#sk-container-id-5 div.sk-parallel-item {\n",
              "  display: flex;\n",
              "  flex-direction: column;\n",
              "}\n",
              "\n",
              "#sk-container-id-5 div.sk-parallel-item:first-child::after {\n",
              "  align-self: flex-end;\n",
              "  width: 50%;\n",
              "}\n",
              "\n",
              "#sk-container-id-5 div.sk-parallel-item:last-child::after {\n",
              "  align-self: flex-start;\n",
              "  width: 50%;\n",
              "}\n",
              "\n",
              "#sk-container-id-5 div.sk-parallel-item:only-child::after {\n",
              "  width: 0;\n",
              "}\n",
              "\n",
              "/* Serial-specific style estimator block */\n",
              "\n",
              "#sk-container-id-5 div.sk-serial {\n",
              "  display: flex;\n",
              "  flex-direction: column;\n",
              "  align-items: center;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  padding-right: 1em;\n",
              "  padding-left: 1em;\n",
              "}\n",
              "\n",
              "\n",
              "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
              "clickable and can be expanded/collapsed.\n",
              "- Pipeline and ColumnTransformer use this feature and define the default style\n",
              "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
              "*/\n",
              "\n",
              "/* Pipeline and ColumnTransformer style (default) */\n",
              "\n",
              "#sk-container-id-5 div.sk-toggleable {\n",
              "  /* Default theme specific background. It is overwritten whether we have a\n",
              "  specific estimator or a Pipeline/ColumnTransformer */\n",
              "  background-color: var(--sklearn-color-background);\n",
              "}\n",
              "\n",
              "/* Toggleable label */\n",
              "#sk-container-id-5 label.sk-toggleable__label {\n",
              "  cursor: pointer;\n",
              "  display: flex;\n",
              "  width: 100%;\n",
              "  margin-bottom: 0;\n",
              "  padding: 0.5em;\n",
              "  box-sizing: border-box;\n",
              "  text-align: center;\n",
              "  align-items: start;\n",
              "  justify-content: space-between;\n",
              "  gap: 0.5em;\n",
              "}\n",
              "\n",
              "#sk-container-id-5 label.sk-toggleable__label .caption {\n",
              "  font-size: 0.6rem;\n",
              "  font-weight: lighter;\n",
              "  color: var(--sklearn-color-text-muted);\n",
              "}\n",
              "\n",
              "#sk-container-id-5 label.sk-toggleable__label-arrow:before {\n",
              "  /* Arrow on the left of the label */\n",
              "  content: \"▸\";\n",
              "  float: left;\n",
              "  margin-right: 0.25em;\n",
              "  color: var(--sklearn-color-icon);\n",
              "}\n",
              "\n",
              "#sk-container-id-5 label.sk-toggleable__label-arrow:hover:before {\n",
              "  color: var(--sklearn-color-text);\n",
              "}\n",
              "\n",
              "/* Toggleable content - dropdown */\n",
              "\n",
              "#sk-container-id-5 div.sk-toggleable__content {\n",
              "  max-height: 0;\n",
              "  max-width: 0;\n",
              "  overflow: hidden;\n",
              "  text-align: left;\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-5 div.sk-toggleable__content.fitted {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-5 div.sk-toggleable__content pre {\n",
              "  margin: 0.2em;\n",
              "  border-radius: 0.25em;\n",
              "  color: var(--sklearn-color-text);\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-5 div.sk-toggleable__content.fitted pre {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-5 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
              "  /* Expand drop-down */\n",
              "  max-height: 200px;\n",
              "  max-width: 100%;\n",
              "  overflow: auto;\n",
              "}\n",
              "\n",
              "#sk-container-id-5 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
              "  content: \"▾\";\n",
              "}\n",
              "\n",
              "/* Pipeline/ColumnTransformer-specific style */\n",
              "\n",
              "#sk-container-id-5 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-5 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Estimator-specific style */\n",
              "\n",
              "/* Colorize estimator box */\n",
              "#sk-container-id-5 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-5 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-5 div.sk-label label.sk-toggleable__label,\n",
              "#sk-container-id-5 div.sk-label label {\n",
              "  /* The background is the default theme color */\n",
              "  color: var(--sklearn-color-text-on-default-background);\n",
              "}\n",
              "\n",
              "/* On hover, darken the color of the background */\n",
              "#sk-container-id-5 div.sk-label:hover label.sk-toggleable__label {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "/* Label box, darken color on hover, fitted */\n",
              "#sk-container-id-5 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Estimator label */\n",
              "\n",
              "#sk-container-id-5 div.sk-label label {\n",
              "  font-family: monospace;\n",
              "  font-weight: bold;\n",
              "  display: inline-block;\n",
              "  line-height: 1.2em;\n",
              "}\n",
              "\n",
              "#sk-container-id-5 div.sk-label-container {\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              "/* Estimator-specific */\n",
              "#sk-container-id-5 div.sk-estimator {\n",
              "  font-family: monospace;\n",
              "  border: 1px dotted var(--sklearn-color-border-box);\n",
              "  border-radius: 0.25em;\n",
              "  box-sizing: border-box;\n",
              "  margin-bottom: 0.5em;\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-5 div.sk-estimator.fitted {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "/* on hover */\n",
              "#sk-container-id-5 div.sk-estimator:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-5 div.sk-estimator.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
              "\n",
              "/* Common style for \"i\" and \"?\" */\n",
              "\n",
              ".sk-estimator-doc-link,\n",
              "a:link.sk-estimator-doc-link,\n",
              "a:visited.sk-estimator-doc-link {\n",
              "  float: right;\n",
              "  font-size: smaller;\n",
              "  line-height: 1em;\n",
              "  font-family: monospace;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  border-radius: 1em;\n",
              "  height: 1em;\n",
              "  width: 1em;\n",
              "  text-decoration: none !important;\n",
              "  margin-left: 0.5em;\n",
              "  text-align: center;\n",
              "  /* unfitted */\n",
              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-unfitted-level-1);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link.fitted,\n",
              "a:link.sk-estimator-doc-link.fitted,\n",
              "a:visited.sk-estimator-doc-link.fitted {\n",
              "  /* fitted */\n",
              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-fitted-level-1);\n",
              "}\n",
              "\n",
              "/* On hover */\n",
              "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
              ".sk-estimator-doc-link:hover,\n",
              "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
              ".sk-estimator-doc-link:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
              ".sk-estimator-doc-link.fitted:hover,\n",
              "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
              ".sk-estimator-doc-link.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "/* Span, style for the box shown on hovering the info icon */\n",
              ".sk-estimator-doc-link span {\n",
              "  display: none;\n",
              "  z-index: 9999;\n",
              "  position: relative;\n",
              "  font-weight: normal;\n",
              "  right: .2ex;\n",
              "  padding: .5ex;\n",
              "  margin: .5ex;\n",
              "  width: min-content;\n",
              "  min-width: 20ex;\n",
              "  max-width: 50ex;\n",
              "  color: var(--sklearn-color-text);\n",
              "  box-shadow: 2pt 2pt 4pt #999;\n",
              "  /* unfitted */\n",
              "  background: var(--sklearn-color-unfitted-level-0);\n",
              "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link.fitted span {\n",
              "  /* fitted */\n",
              "  background: var(--sklearn-color-fitted-level-0);\n",
              "  border: var(--sklearn-color-fitted-level-3);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link:hover span {\n",
              "  display: block;\n",
              "}\n",
              "\n",
              "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
              "\n",
              "#sk-container-id-5 a.estimator_doc_link {\n",
              "  float: right;\n",
              "  font-size: 1rem;\n",
              "  line-height: 1em;\n",
              "  font-family: monospace;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  border-radius: 1rem;\n",
              "  height: 1rem;\n",
              "  width: 1rem;\n",
              "  text-decoration: none;\n",
              "  /* unfitted */\n",
              "  color: var(--sklearn-color-unfitted-level-1);\n",
              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
              "}\n",
              "\n",
              "#sk-container-id-5 a.estimator_doc_link.fitted {\n",
              "  /* fitted */\n",
              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-fitted-level-1);\n",
              "}\n",
              "\n",
              "/* On hover */\n",
              "#sk-container-id-5 a.estimator_doc_link:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "#sk-container-id-5 a.estimator_doc_link.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-3);\n",
              "}\n",
              "</style><div id=\"sk-container-id-5\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-5\" type=\"checkbox\" checked><label for=\"sk-estimator-id-5\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>LogisticRegression</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.6/modules/generated/sklearn.linear_model.LogisticRegression.html\">?<span>Documentation for LogisticRegression</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\"><pre>LogisticRegression()</pre></div> </div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 52
        }
      ],
      "source": [
        "lr_clf.fit(X_news_train_gmodel, np.array(y_news_train_gm))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 53,
      "metadata": {
        "id": "cdrinUXt4FNT",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f32f15ac-a2a5-49f5-8463-34f2156800a9"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.4947229551451187"
            ]
          },
          "metadata": {},
          "execution_count": 53
        }
      ],
      "source": [
        "lr_clf.score(np.array(X_news_test_gmodel),y_news_test_gm)"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Why did the much more generaly word2vec model from google perform much worse than our simple CBOW and Skip-Gram models?"
      ],
      "metadata": {
        "id": "BnieQC0UgdT3"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qU8-edw_4FNU"
      },
      "source": [
        "### The Glove Embedding\n",
        "\n",
        "This is another embedding produced by Google, available online. It is faster to use and performs better in terms of similarity and analogies, but not for classification."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "id": "4ehOxEhP4FNU",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "071ed717-eaf8-4d68-fac6-62adc8c53a50"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[==================================================] 100.0% 66.0/66.0MB downloaded\n",
            "/root/gensim-data/glove-wiki-gigaword-50/glove-wiki-gigaword-50.gz\n"
          ]
        }
      ],
      "source": [
        "import gensim.downloader as api\n",
        "print(api.load('glove-wiki-gigaword-50', return_path=True))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {
        "id": "z3GiWrgS4FNU"
      },
      "outputs": [],
      "source": [
        "glove_model = api.load(\"glove-wiki-gigaword-50\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {
        "id": "8UPAOuJ74FNV",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "11ad59cf-1101-4146-fa98-606cf1727dde"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('pitches', 0.8380102515220642),\n",
              " ('pitching', 0.775322675704956),\n",
              " ('ball', 0.7705615162849426),\n",
              " ('infield', 0.769540548324585),\n",
              " ('inning', 0.7672455906867981),\n",
              " ('game', 0.751035213470459),\n",
              " ('hitters', 0.7493574619293213),\n",
              " ('outfield', 0.7477315068244934),\n",
              " ('hitter', 0.7467021346092224),\n",
              " ('pitched', 0.7417561411857605)]"
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ],
      "source": [
        "glove_model.most_similar('pitch')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {
        "id": "3IJwgojc4FNV",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "3cd7c874-aab5-4b77-ba5c-36d29796b66e"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('blackhawks', 0.798629641532898),\n",
              " ('sabres', 0.7900724411010742),\n",
              " ('canucks', 0.7876150608062744),\n",
              " ('canadiens', 0.7621992826461792),\n",
              " ('leafs', 0.7570874094963074),\n",
              " ('bruins', 0.7503584027290344),\n",
              " ('oilers', 0.7478305101394653),\n",
              " ('dodgers', 0.7437342405319214),\n",
              " ('phillies', 0.7399099469184875),\n",
              " ('mets', 0.7378402352333069)]"
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ],
      "source": [
        "glove_model.most_similar(positive=['chicago','rangers'],negative=['texas'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "metadata": {
        "id": "pjMvQiTe4FNW",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "24d7d9fc-8809-451e-a02c-bd417c9501d0"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('queen', 0.8523604273796082),\n",
              " ('throne', 0.7664334177970886),\n",
              " ('prince', 0.7592144012451172),\n",
              " ('daughter', 0.7473883628845215),\n",
              " ('elizabeth', 0.7460219860076904),\n",
              " ('princess', 0.7424570322036743),\n",
              " ('kingdom', 0.7337412238121033),\n",
              " ('monarch', 0.721449077129364),\n",
              " ('eldest', 0.7184861898422241),\n",
              " ('widow', 0.7099431157112122)]"
            ]
          },
          "metadata": {},
          "execution_count": 32
        }
      ],
      "source": [
        "glove_model.most_similar(positive=['woman','king'],negative=['man'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "metadata": {
        "id": "xeTqryVJ4FNW"
      },
      "outputs": [],
      "source": [
        "train_glove = [[glove_model[x] for x in y if x in glove_model] for y in X_news_train_gsim]\n",
        "train_data_labels = [(x,y) for (x,y) in zip(train_glove, y_news_train) if len(x) > 0]\n",
        "X_news_train_glove = [np.array(x).mean(axis=0) for (x,y) in train_data_labels]\n",
        "y_news_train_glove = [y for (x,y) in train_data_labels]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "metadata": {
        "id": "9QA08yH34FNW"
      },
      "outputs": [],
      "source": [
        "test_glove = [[glove_model[x] for x in y if x in glove_model] for y in X_news_test_gsim]\n",
        "test_data_labels = [(x,y) for (x,y) in zip(test_glove, y_news_test) if len(x) > 0]\n",
        "X_news_test_glove = [np.array(x).mean(axis=0) for (x,y) in test_data_labels]\n",
        "y_news_test_glove = [y for (x,y) in test_data_labels]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "metadata": {
        "id": "vIU1W04p4FNX",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        },
        "outputId": "948cfcfe-7bcb-49cf-e75a-62dd3158e797"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LogisticRegression()"
            ],
            "text/html": [
              "<style>#sk-container-id-4 {\n",
              "  /* Definition of color scheme common for light and dark mode */\n",
              "  --sklearn-color-text: #000;\n",
              "  --sklearn-color-text-muted: #666;\n",
              "  --sklearn-color-line: gray;\n",
              "  /* Definition of color scheme for unfitted estimators */\n",
              "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
              "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
              "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
              "  --sklearn-color-unfitted-level-3: chocolate;\n",
              "  /* Definition of color scheme for fitted estimators */\n",
              "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
              "  --sklearn-color-fitted-level-1: #d4ebff;\n",
              "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
              "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
              "\n",
              "  /* Specific color for light theme */\n",
              "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
              "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
              "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
              "  --sklearn-color-icon: #696969;\n",
              "\n",
              "  @media (prefers-color-scheme: dark) {\n",
              "    /* Redefinition of color scheme for dark theme */\n",
              "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
              "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
              "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
              "    --sklearn-color-icon: #878787;\n",
              "  }\n",
              "}\n",
              "\n",
              "#sk-container-id-4 {\n",
              "  color: var(--sklearn-color-text);\n",
              "}\n",
              "\n",
              "#sk-container-id-4 pre {\n",
              "  padding: 0;\n",
              "}\n",
              "\n",
              "#sk-container-id-4 input.sk-hidden--visually {\n",
              "  border: 0;\n",
              "  clip: rect(1px 1px 1px 1px);\n",
              "  clip: rect(1px, 1px, 1px, 1px);\n",
              "  height: 1px;\n",
              "  margin: -1px;\n",
              "  overflow: hidden;\n",
              "  padding: 0;\n",
              "  position: absolute;\n",
              "  width: 1px;\n",
              "}\n",
              "\n",
              "#sk-container-id-4 div.sk-dashed-wrapped {\n",
              "  border: 1px dashed var(--sklearn-color-line);\n",
              "  margin: 0 0.4em 0.5em 0.4em;\n",
              "  box-sizing: border-box;\n",
              "  padding-bottom: 0.4em;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "}\n",
              "\n",
              "#sk-container-id-4 div.sk-container {\n",
              "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
              "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
              "     so we also need the `!important` here to be able to override the\n",
              "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
              "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
              "  display: inline-block !important;\n",
              "  position: relative;\n",
              "}\n",
              "\n",
              "#sk-container-id-4 div.sk-text-repr-fallback {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              "div.sk-parallel-item,\n",
              "div.sk-serial,\n",
              "div.sk-item {\n",
              "  /* draw centered vertical line to link estimators */\n",
              "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
              "  background-size: 2px 100%;\n",
              "  background-repeat: no-repeat;\n",
              "  background-position: center center;\n",
              "}\n",
              "\n",
              "/* Parallel-specific style estimator block */\n",
              "\n",
              "#sk-container-id-4 div.sk-parallel-item::after {\n",
              "  content: \"\";\n",
              "  width: 100%;\n",
              "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
              "  flex-grow: 1;\n",
              "}\n",
              "\n",
              "#sk-container-id-4 div.sk-parallel {\n",
              "  display: flex;\n",
              "  align-items: stretch;\n",
              "  justify-content: center;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  position: relative;\n",
              "}\n",
              "\n",
              "#sk-container-id-4 div.sk-parallel-item {\n",
              "  display: flex;\n",
              "  flex-direction: column;\n",
              "}\n",
              "\n",
              "#sk-container-id-4 div.sk-parallel-item:first-child::after {\n",
              "  align-self: flex-end;\n",
              "  width: 50%;\n",
              "}\n",
              "\n",
              "#sk-container-id-4 div.sk-parallel-item:last-child::after {\n",
              "  align-self: flex-start;\n",
              "  width: 50%;\n",
              "}\n",
              "\n",
              "#sk-container-id-4 div.sk-parallel-item:only-child::after {\n",
              "  width: 0;\n",
              "}\n",
              "\n",
              "/* Serial-specific style estimator block */\n",
              "\n",
              "#sk-container-id-4 div.sk-serial {\n",
              "  display: flex;\n",
              "  flex-direction: column;\n",
              "  align-items: center;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  padding-right: 1em;\n",
              "  padding-left: 1em;\n",
              "}\n",
              "\n",
              "\n",
              "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
              "clickable and can be expanded/collapsed.\n",
              "- Pipeline and ColumnTransformer use this feature and define the default style\n",
              "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
              "*/\n",
              "\n",
              "/* Pipeline and ColumnTransformer style (default) */\n",
              "\n",
              "#sk-container-id-4 div.sk-toggleable {\n",
              "  /* Default theme specific background. It is overwritten whether we have a\n",
              "  specific estimator or a Pipeline/ColumnTransformer */\n",
              "  background-color: var(--sklearn-color-background);\n",
              "}\n",
              "\n",
              "/* Toggleable label */\n",
              "#sk-container-id-4 label.sk-toggleable__label {\n",
              "  cursor: pointer;\n",
              "  display: flex;\n",
              "  width: 100%;\n",
              "  margin-bottom: 0;\n",
              "  padding: 0.5em;\n",
              "  box-sizing: border-box;\n",
              "  text-align: center;\n",
              "  align-items: start;\n",
              "  justify-content: space-between;\n",
              "  gap: 0.5em;\n",
              "}\n",
              "\n",
              "#sk-container-id-4 label.sk-toggleable__label .caption {\n",
              "  font-size: 0.6rem;\n",
              "  font-weight: lighter;\n",
              "  color: var(--sklearn-color-text-muted);\n",
              "}\n",
              "\n",
              "#sk-container-id-4 label.sk-toggleable__label-arrow:before {\n",
              "  /* Arrow on the left of the label */\n",
              "  content: \"▸\";\n",
              "  float: left;\n",
              "  margin-right: 0.25em;\n",
              "  color: var(--sklearn-color-icon);\n",
              "}\n",
              "\n",
              "#sk-container-id-4 label.sk-toggleable__label-arrow:hover:before {\n",
              "  color: var(--sklearn-color-text);\n",
              "}\n",
              "\n",
              "/* Toggleable content - dropdown */\n",
              "\n",
              "#sk-container-id-4 div.sk-toggleable__content {\n",
              "  max-height: 0;\n",
              "  max-width: 0;\n",
              "  overflow: hidden;\n",
              "  text-align: left;\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-4 div.sk-toggleable__content.fitted {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-4 div.sk-toggleable__content pre {\n",
              "  margin: 0.2em;\n",
              "  border-radius: 0.25em;\n",
              "  color: var(--sklearn-color-text);\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-4 div.sk-toggleable__content.fitted pre {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-4 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
              "  /* Expand drop-down */\n",
              "  max-height: 200px;\n",
              "  max-width: 100%;\n",
              "  overflow: auto;\n",
              "}\n",
              "\n",
              "#sk-container-id-4 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
              "  content: \"▾\";\n",
              "}\n",
              "\n",
              "/* Pipeline/ColumnTransformer-specific style */\n",
              "\n",
              "#sk-container-id-4 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-4 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Estimator-specific style */\n",
              "\n",
              "/* Colorize estimator box */\n",
              "#sk-container-id-4 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-4 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-4 div.sk-label label.sk-toggleable__label,\n",
              "#sk-container-id-4 div.sk-label label {\n",
              "  /* The background is the default theme color */\n",
              "  color: var(--sklearn-color-text-on-default-background);\n",
              "}\n",
              "\n",
              "/* On hover, darken the color of the background */\n",
              "#sk-container-id-4 div.sk-label:hover label.sk-toggleable__label {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "/* Label box, darken color on hover, fitted */\n",
              "#sk-container-id-4 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Estimator label */\n",
              "\n",
              "#sk-container-id-4 div.sk-label label {\n",
              "  font-family: monospace;\n",
              "  font-weight: bold;\n",
              "  display: inline-block;\n",
              "  line-height: 1.2em;\n",
              "}\n",
              "\n",
              "#sk-container-id-4 div.sk-label-container {\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              "/* Estimator-specific */\n",
              "#sk-container-id-4 div.sk-estimator {\n",
              "  font-family: monospace;\n",
              "  border: 1px dotted var(--sklearn-color-border-box);\n",
              "  border-radius: 0.25em;\n",
              "  box-sizing: border-box;\n",
              "  margin-bottom: 0.5em;\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-4 div.sk-estimator.fitted {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "/* on hover */\n",
              "#sk-container-id-4 div.sk-estimator:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-4 div.sk-estimator.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
              "\n",
              "/* Common style for \"i\" and \"?\" */\n",
              "\n",
              ".sk-estimator-doc-link,\n",
              "a:link.sk-estimator-doc-link,\n",
              "a:visited.sk-estimator-doc-link {\n",
              "  float: right;\n",
              "  font-size: smaller;\n",
              "  line-height: 1em;\n",
              "  font-family: monospace;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  border-radius: 1em;\n",
              "  height: 1em;\n",
              "  width: 1em;\n",
              "  text-decoration: none !important;\n",
              "  margin-left: 0.5em;\n",
              "  text-align: center;\n",
              "  /* unfitted */\n",
              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-unfitted-level-1);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link.fitted,\n",
              "a:link.sk-estimator-doc-link.fitted,\n",
              "a:visited.sk-estimator-doc-link.fitted {\n",
              "  /* fitted */\n",
              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-fitted-level-1);\n",
              "}\n",
              "\n",
              "/* On hover */\n",
              "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
              ".sk-estimator-doc-link:hover,\n",
              "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
              ".sk-estimator-doc-link:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
              ".sk-estimator-doc-link.fitted:hover,\n",
              "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
              ".sk-estimator-doc-link.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "/* Span, style for the box shown on hovering the info icon */\n",
              ".sk-estimator-doc-link span {\n",
              "  display: none;\n",
              "  z-index: 9999;\n",
              "  position: relative;\n",
              "  font-weight: normal;\n",
              "  right: .2ex;\n",
              "  padding: .5ex;\n",
              "  margin: .5ex;\n",
              "  width: min-content;\n",
              "  min-width: 20ex;\n",
              "  max-width: 50ex;\n",
              "  color: var(--sklearn-color-text);\n",
              "  box-shadow: 2pt 2pt 4pt #999;\n",
              "  /* unfitted */\n",
              "  background: var(--sklearn-color-unfitted-level-0);\n",
              "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link.fitted span {\n",
              "  /* fitted */\n",
              "  background: var(--sklearn-color-fitted-level-0);\n",
              "  border: var(--sklearn-color-fitted-level-3);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link:hover span {\n",
              "  display: block;\n",
              "}\n",
              "\n",
              "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
              "\n",
              "#sk-container-id-4 a.estimator_doc_link {\n",
              "  float: right;\n",
              "  font-size: 1rem;\n",
              "  line-height: 1em;\n",
              "  font-family: monospace;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  border-radius: 1rem;\n",
              "  height: 1rem;\n",
              "  width: 1rem;\n",
              "  text-decoration: none;\n",
              "  /* unfitted */\n",
              "  color: var(--sklearn-color-unfitted-level-1);\n",
              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
              "}\n",
              "\n",
              "#sk-container-id-4 a.estimator_doc_link.fitted {\n",
              "  /* fitted */\n",
              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-fitted-level-1);\n",
              "}\n",
              "\n",
              "/* On hover */\n",
              "#sk-container-id-4 a.estimator_doc_link:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "#sk-container-id-4 a.estimator_doc_link.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-3);\n",
              "}\n",
              "</style><div id=\"sk-container-id-4\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" checked><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>LogisticRegression</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.6/modules/generated/sklearn.linear_model.LogisticRegression.html\">?<span>Documentation for LogisticRegression</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\"><pre>LogisticRegression()</pre></div> </div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 35
        }
      ],
      "source": [
        "lr_clf.fit(X_news_train_glove, np.array(y_news_train_glove))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "metadata": {
        "id": "ida5JU084FNX",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9d74d38f-7e2f-4d09-deaa-260706f058d2"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.5118733509234829"
            ]
          },
          "metadata": {},
          "execution_count": 36
        }
      ],
      "source": [
        "lr_clf.score(np.array(X_news_test_glove),y_news_test_glove)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uT59B33c4FNX"
      },
      "source": [
        "### The Doc2Vec model"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BeOKa0ZC4FNY"
      },
      "source": [
        "Similar to Word2Vec the Doc2Vec produces embeddings for full documents. Now we will turn into a vector the whole block of text. It performs much better for classification, indicating that simple averaging of the word embeddings is not a good option."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 37,
      "metadata": {
        "id": "KE2XynU84FNY"
      },
      "outputs": [],
      "source": [
        "train_corpus = [gensim.models.doc2vec.TaggedDocument(X_news_train_gsim[i], [i]) for i in range(len(X_news_train_gsim))]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 38,
      "metadata": {
        "id": "lSz3ixU04FNY"
      },
      "outputs": [],
      "source": [
        "d2v_model = gensim.models.doc2vec.Doc2Vec(vector_size=50, min_count=2, epochs=40)\n",
        "d2v_model.build_vocab(train_corpus)\n",
        "d2v_model.train(train_corpus, total_examples=d2v_model.corpus_count, epochs=d2v_model.epochs)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 39,
      "metadata": {
        "id": "fXdwn6i14FNZ"
      },
      "outputs": [],
      "source": [
        "X_news_train_d2v = [d2v_model.infer_vector(x) for x in X_news_train_gsim]\n",
        "X_news_test_d2v = [d2v_model.infer_vector(x) for x in X_news_test_gsim]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 40,
      "metadata": {
        "id": "wrZcdK364FNZ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "75f7b851-98c1-412a-85c6-882fb32ea7ae"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.945910290237467"
            ]
          },
          "metadata": {},
          "execution_count": 40
        }
      ],
      "source": [
        "lr_clf.fit(X_news_train_d2v, np.array(y_news_train_gsim))\n",
        "lr_clf.score(X_news_test_d2v,y_news_test_gsim)"
      ]
    }
  ],
  "metadata": {
    "celltoolbar": "Slideshow",
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3 (ipykernel)",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.12"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}