{ "metadata": { "name": "", "signature": "sha256:cb1ebbe315b2ad00072811ab0927fae0e5ca7c953638dc9b70b49876e765ac4f" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Supervised Learning: Classification of Iris Data" ] }, { "cell_type": "heading", "level": 5, "metadata": {}, "source": [ "[ This notebook file is a modified version of the PyCon13 scikit-learn tutorial designed by Jake VanderPlas\n", "(jakevdp@cs.washington.edu) ]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "By the end of this section you will\n", "\n", "- Know how to instantiate a scikit-learn classifier\n", "- Know how to train a classifier by calling the `fit(...)` method\n", "- Know how to predict new labels by calling the `predict(...)` method\n", "\n", "In this example we will perform classification of the iris data with several different classifiers." ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Linear Support Vector Classifier (SVC)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "First we'll load the iris data as we did before:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "from sklearn.datasets import load_iris\n", "iris = load_iris()" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 24 }, { "cell_type": "markdown", "metadata": {}, "source": [ "In the iris dataset example, suppose we are assigned the task to guess\n", "the class of an individual flower given the measurements of petals and\n", "sepals. This is a *classification* task, hence we have:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "X = iris.data\n", "y = iris.target\n", "\n", "print X.shape\n", "print y.shape" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "(150, 4)\n", "(150,)\n" ] } ], "prompt_number": 25 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Once the data has this format it is trivial to train a classifier, for instance a support vector machine with a linear kernel:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "from sklearn.svm import LinearSVC" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 26 }, { "cell_type": "markdown", "metadata": {}, "source": [ "``LinearSVC`` is an example of a scikit-learn classifier. If you're curious about how it is used, you can use ``ipython``'s ``\"?\"`` magic function to see the documentation:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "#LinearSVC?" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 27 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The first thing to do is to create an instance of the classifier. This can be done simply by calling the class name, with any arguments that the object accepts:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "clf = LinearSVC(loss = 'l2')" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 28 }, { "cell_type": "markdown", "metadata": {}, "source": [ "``clf`` is a statistical model that has parameters that control the learning algorithm (those parameters are sometimes called the *hyperparameters*). Those hyperparameters can be supplied by the user in the constructor of the model. We will explain later how to choose a good combination using either simple empirical rules or data driven selection:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "print clf" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "LinearSVC(C=1.0, class_weight=None, dual=True, fit_intercept=True,\n", " intercept_scaling=1, loss='l2', multi_class='ovr', penalty='l2',\n", " random_state=None, tol=0.0001, verbose=0)\n" ] } ], "prompt_number": 29 }, { "cell_type": "markdown", "metadata": {}, "source": [ "By default the model parameters are not initialized. They will be tuned automatically from the data by calling the ``fit`` method with the data ``X`` and labels ``y``:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "clf = clf.fit(X, y)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 30 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can now see some of the fit parameters within the classifier object.\n", "\n", "**In scikit-learn, parameters defined by training have a trailing underscore.**" ] }, { "cell_type": "code", "collapsed": false, "input": [ "clf.coef_\n", "# shape of clf.coef_ [n_classes x n_features] (coefficients are the weights used in inner product)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 31, "text": [ "array([[ 0.18423472, 0.45122606, -0.80794397, -0.45071444],\n", " [ 0.05194039, -0.89261957, 0.40495891, -0.93818941],\n", " [-0.85066873, -0.98658995, 1.38093611, 1.86531807]])" ] } ], "prompt_number": 31 }, { "cell_type": "code", "collapsed": false, "input": [ "clf.intercept_\n", "# shape of clf.intercept [n_classes x 1] (Constants in decision function.)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 32, "text": [ "array([ 0.10955953, 1.66695128, -1.70960306])" ] } ], "prompt_number": 32 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Once the model is trained, it can be used to predict the most likely outcome on unseen data. For instance let us define a list of simple sample that looks like the first sample of the iris dataset:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "X_new = [[ 5.0, 3.6, 1.3, 0.25]]\n", "print clf.predict(X_new)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "[0]\n" ] } ], "prompt_number": 33 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Support Vector Classifier with different kernels" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%matplotlib inline\n", "\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "from sklearn import svm\n", "\n", "X = iris.data[:, 2:4] # we only take the first two features. We could\n", "y = iris.target\n", "h = .02 # step size in the mesh\n", "\n", "# we create an instance of SVM and fit out data. We do not scale our\n", "# data since we want to plot the support vectors\n", "C = 1.0 # SVM regularization parameter\n", "svc = svm.SVC(kernel='linear', C=C).fit(X, y)\n", "rbf_svc = svm.SVC(kernel='rbf', gamma=0.7, C=C).fit(X, y)\n", "poly_svc = svm.SVC(kernel='poly', degree=3, C=C).fit(X, y)\n", "lin_svc = svm.LinearSVC(C=C).fit(X, y)\n", "\n", "# create a mesh to plot in\n", "x_min, x_max = X[:, 0].min() - 1, X[:, 0].max() + 1\n", "y_min, y_max = X[:, 1].min() - 1, X[:, 1].max() + 1\n", "xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\n", " np.arange(y_min, y_max, h))\n", "\n", "# title for the plots\n", "titles = ['SVC with linear kernel',\n", " 'LinearSVC (linear kernel)',\n", " 'SVC with RBF kernel',\n", " 'SVC with polynomial (degree 3) kernel']\n", "\n", "\n", "plt.figure(figsize=(16,10))\n", "for i, clf in enumerate((svc, lin_svc, rbf_svc, poly_svc)):\n", " # Plot the decision boundary. For that, we will assign a color to each\n", " # point in the mesh [x_min, m_max]x[y_min, y_max].\n", " plt.subplot(2, 2, i + 1)\n", " plt.subplots_adjust(wspace=0.1, hspace=0.25)\n", "\n", " Z = clf.predict(np.c_[xx.ravel(), yy.ravel()])\n", "\n", " # Put the result into a color plot\n", " Z = Z.reshape(xx.shape)\n", " plt.contourf(xx, yy, Z, cmap=plt.cm.Paired, alpha=0.8)\n", "\n", " # Plot also the training points\n", " plt.scatter(X[:, 0], X[:, 1], s=80, c=y, cmap=plt.cm.Paired)\n", " plt.xlabel('Sepal length (first feature)',fontsize=15)\n", " plt.ylabel('Sepal width (second feature)',fontsize=15)\n", " plt.xlim(xx.min(), xx.max())\n", " plt.ylim(yy.min(), yy.max())\n", " plt.xticks(())\n", " plt.yticks(())\n", " plt.title(titles[i],fontsize=15)\n", "\n", "plt.show()" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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LVpKWnMVrl8UxKsYXF5MTAR4u3DYolCfXJfJbalFl3jNbbayKz+W937OZ92Td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js1+bwOghHQGY/vpPiOdTuaONn9NxLDicx9E8AzdFajhbaGJ/lp7bWvkyvrVfZfwtMFh4Z3sm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G3Op2V/d2/kzzX3PU+/u54gLyMNJ1c3uxrtPN+WGWPpO/1HW4chhBCXRfJpzSnIyaLTeVuR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\ncjC+AYHEHoom/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"text": [ "" ] } ], "prompt_number": 34 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Exercise: Using a Different Classifier ( e.g. Logistic Regression )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we'll take a few minutes and try out another learning model. Because of ``scikit-learn``'s uniform interface, the syntax is identical to that of ``LinearSVC`` above.\n", "\n", "There are many possibilities of classifiers; you could try any of the methods discussed at . Alternatively, you can explore what's available in ``scikit-learn`` using just the tab-completion feature. For example, import the ``linear_model`` submodule:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "from sklearn import linear_model" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 35 }, { "cell_type": "markdown", "metadata": {}, "source": [ "And use the tab completion to find what's available. Type ``linear_model.`` and then the tab key to see an interactive list of the functions within this submodule. The ones which begin with capital letters are the models which are available." ] }, { "cell_type": "code", "collapsed": false, "input": [], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 35 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now select a new classifier and try out a classification of the iris data.\n", "\n", "Some good choices are\n", "\n", "- ``sklearn.naive_bayes.GaussianNB`` :\n", " Gaussian Naive Bayes model. This is an unsophisticated model which can be trained very quickly.\n", " It is often used to obtain baseline results before moving to a more sophisticated classifier.\n", "\n", "- ``sklearn.svm.LinearSVC`` :\n", " Support Vector Machines without kernels based on liblinear\n", "\n", "- ``sklearn.svm.SVC`` :\n", " Support Vector Machines with kernels based on libsvm\n", "\n", "- ``sklearn.linear_model.LogisticRegression`` :\n", " Regularized Logistic Regression based on liblinear\n", "\n", "- ``sklearn.linear_model.SGDClassifier`` :\n", " Regularized linear models (SVM or logistic regression) using a Stochastic Gradient Descent algorithm written in Cython\n", "\n", "- ``sklearn.neighbors.NeighborsClassifier`` :\n", " k-Nearest Neighbors classifier based on the ball tree datastructure for low dimensional data and brute force search for high dimensional data\n", "\n", "- ``sklearn.tree.DecisionTreeClassifier`` :\n", " A classifier based on a series of binary decisions. This is another very fast classifier, which can be very powerful.\n", "\n", "Choose one of the above, import it, and use the ``?`` feature to learn about it. \n", "\n", "Some models have additional prediction modes. For example, if ``clf`` is a ``LogisticRegression`` classifier, then it is possible to do a probibilistic prediction for any point. This can be done through the ``predict_proba`` function:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "#linear_model.LogisticRegression?" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 36 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now instantiate this model as we did with ``LinearSVC`` above." ] }, { "cell_type": "code", "collapsed": false, "input": [ "clf2 = linear_model.LogisticRegression(C=1e5)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 37 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now use our data ``X`` and ``y`` to train the model, using the ``fit(...)`` method" ] }, { "cell_type": "code", "collapsed": false, "input": [ "X = iris.data [:,2:4]\n", "y = iris.target\n", "clf2.fit (X, y)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 38, "text": [ "LogisticRegression(C=100000.0, class_weight=None, dual=False,\n", " fit_intercept=True, intercept_scaling=1, penalty='l2',\n", " random_state=None, tol=0.0001)" ] } ], "prompt_number": 38 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now call the ``predict`` method, and find the classification of ``X_new``." ] }, { "cell_type": "code", "collapsed": false, "input": [ "X_new = [[3.6, 0.25]]\n", "print clf2.predict_proba(X_new)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "[[ 8.51520645e-02 9.14847935e-01 3.22256261e-10]]\n" ] } ], "prompt_number": 39 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The result gives the probability (between zero and one) that the test point comes from any of the three classes.\n", "\n", "This means that the model estimates that the sample in X_new has:\n", "\n", "- 8.5% likelyhood to belong to the \u2018setosa\u2019 class (``target = 0``)\n", "- 91% likelyhood to belong to the \u2018versicolor\u2019 class (``target = 1``)\n", "- < 1% likelyhood to belong to the \u2018virginica\u2019 class (``target = 2``)\n", "\n", "Of course, the predict method that outputs the label id of the most likely outcome is also available:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "# Plot the decision boundary. For that, we will assign a color to each\n", "# point in the mesh [x_min, m_max]x[y_min, y_max].\n", "x_min, x_max = X[:, 0].min() - .5, X[:, 0].max() + .5\n", "y_min, y_max = X[:, 1].min() - .5, X[:, 1].max() + .5\n", "xx, yy = np.meshgrid(np.arange(x_min, x_max, h), np.arange(y_min, y_max, h))\n", "Z = clf2.predict(np.c_[xx.ravel(), yy.ravel()])\n", "Zprob = clf2.predict_proba(np.c_[xx.ravel(), yy.ravel()])\n", "\n", "# Put the result into a color plot\n", "Z = Z.reshape(xx.shape)\n", "Zprob = Zprob.reshape(xx.shape[0],xx.shape[1],3)\n", "plt.figure(figsize=(16,10))\n", "\n", "# title for the plots\n", "titles = ['Logistic regression (LR)',\n", " 'LR class 1 - probabilities',\n", " 'LR class 2 - probabilities',\n", " 'LR class 3 - probabilities']\n", "labels = ['class 1', 'class 2', 'class 3']\n", "\n", "# number of classes and plot colors\n", "n_classes = np.amax(y)+1\n", "plot_colors = 'rgy'\n", "\n", "for i, boundaries in enumerate((Z, Zprob[:,:,0], Zprob[:,:,1], Zprob[:,:,2])):\n", " # Plot the decision boundary. For that, we will assign a color to each\n", " # point in the mesh [x_min, m_max]x[y_min, y_max].\n", " plt.subplot(2, 2, i + 1)\n", " plt.subplots_adjust(wspace=0.1, hspace=0.25)\n", " plt.pcolormesh(xx, yy, boundaries, cmap=plt.cm.Paired)\n", " plt.colorbar()\n", "\n", " # Plot also the training\n", " for j, color in zip(range(n_classes), plot_colors):\n", " idx = np.where(y == j)\n", " plt.scatter(X[idx, 0], X[idx, 1], s=100, c=color, label=labels[j], cmap=plt.cm.Paired)\n", " \n", " #plt.scatter(X[:, 0], X[:, 1], s=100, c=y, edgecolors='k', cmap=plt.cm.Paired)\n", " \n", " plt.xlabel('Sepal length', fontsize=15)\n", " plt.ylabel('Sepal width', fontsize=15)\n", "\n", " plt.xlim(xx.min(), xx.max())\n", " plt.ylim(yy.min(), yy.max())\n", " plt.xticks(())\n", " plt.yticks(())\n", " plt.title(titles[i],fontsize=15)\n", " plt.legend(loc='upper left')\n", "\n", "plt.show()" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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+iAh69uzp1RajpQaD4UyjIuL4iUgPEdkmIjtFZJyb8wki8rGIbBSRtSLSxptN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PTMnPfr1a/uPnXq1OlJZp5+6lk+lmFiGyZzmpVhSTqChKOif76oO6jOnXWYmU6e0N/cJSPwbhq0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Ja2dN0W6OfXQv//uiudN+/utu0KGe8wDGkRM6KH0QWOnTqpyc/PID2na/xsaNgecFJEm2j37o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qP8EEVcD0spH+5hP/LOJ44u6IQXgvmUebaa6lnv+Ln7qph2dW3FtKmYNoZlky+bVEybvG5S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"text": [ "" ] } ], "prompt_number": 40 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Evaluating the Model" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Predicting a new value is nice, but how do we guage how well we've done?\n", "We'll explore this in more depth later, but here's a quick taste now.\n", "\n", "Let's get a rough evaluation our model by using\n", "it to predict the values of the training data:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "y_model = clf2.predict(X)\n", "print y_model == y\n", "print \"Accuracy:\", float(np.sum(y_model == y)) / len(y)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "[ True True True True True True True True True True True True\n", " True True True True True True True True True True True True\n", " True True True True True True True True True True True True\n", " True True True True True True True True True True True True\n", " True True True True True True True True True True True True\n", " True True True True True True True True True True False True\n", " True True True True True False True True True True True False\n", " True True True True True True True True True True True True\n", " True True True True True True True True True True False True\n", " True True True True True True True True True True True False\n", " True True True True True True True True True True True True\n", " True False True True True True True True True True True True\n", " True True True True True True]\n", "Accuracy: 0.96\n" ] } ], "prompt_number": 41 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We see that most of the predictions are correct!" ] }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Model Evaluation Using Cross-Validation" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now let's try 10-fold cross-validation, to see if the accuracy holds up more rigorously." ] }, { "cell_type": "code", "collapsed": false, "input": [ "from sklearn.cross_validation import cross_val_score\n", "# evaluate the model using 10-fold cross-validation\n", "scores = cross_val_score(linear_model.LogisticRegression(C=1e2), X, y, scoring='accuracy', cv=10)\n", "print scores\n", "print scores.mean()" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "[ 1. 1. 1. 0.93333333 0.93333333 0.93333333\n", " 0.86666667 1. 1. 1. ]\n", "0.966666666667\n" ] } ], "prompt_number": 42 } ], "metadata": {} } ] }