{ "metadata": { "name": "", "signature": "sha256:ed21aa5fc8733cfc0a2eb0133adc593bd7beab4c4cea4baacb77d751c01dafa0" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Model Selection" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Model selection is the task of choosing best performing classifier out of a candidate set of classifiers which is very useful for libraries like Scikit-Learn as the api for different parameters stay across different classifiers. That makes it very easy to try different \"estimators\" in the same dataset. \n", "\n", "After learning about parameter search, one could do parameter search on a given classifier, but in practice you rarely depend on one classifier. Ideally, you need to compare different classifiers (as their learning function differs a lot), their performance on your real dataset may vary drastically. In order to choose not best paremeters for a given classifier, one needs to look at different classifiers and then do a parameters search on top of the those multiple classifiers." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Model selection makes sure that not only I will get the best parameters but also best classifier for a given candidate of classifiers for a scoring function that I will optimize for. But this is not good enough because I want to also see the effectof total number of features as well; when I change the total number of features, how does it affect the score of a classifier." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%matplotlib inline\n", "import csv\n", "import itertools\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import os\n", "from sklearn import cross_validation\n", "from sklearn import ensemble\n", "from sklearn.feature_extraction import text\n", "from sklearn import feature_extraction\n", "from sklearn import feature_selection\n", "from sklearn import linear_model\n", "from sklearn import metrics\n", "from sklearn import naive_bayes\n", "from sklearn import svm\n", "from sklearn import tree\n", "\n", "plt.style.use('fivethirtyeight')\n", "\n", "_DATA_DIR = 'data'\n", "_NYT_DATA_PATH = os.path.join(_DATA_DIR, 'nyt_title_data.csv')\n", "\n", "_PLT_LEGEND_OPTIONS = dict(loc=\"upper center\", \n", " bbox_to_anchor=(0.5, -0.15),\n", " fancybox=True, \n", " shadow=True, \n", " ncol=3)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "code", "collapsed": false, "input": [ "colors = [ii.strip() for ii in '#30a2da, #fc4f30, #e5ae38, #6d904f, #8b8b8b'.split(',')]\n", "colors += ['#' + ii.strip() for ii in '348ABD, A60628, 7A68A6, 467821,D55E00, CC79A7, 56B4E9, 009E73, F0E442, 0072B2'.split(',')]\n", "markers = itertools.cycle([\"o\", \"D\"])\n", "colors = itertools.cycle(colors)\n", "\n", "def cv(X, y, clf, nfeats, clfname, scoring=metrics.accuracy_score, n_folds=10):\n", " stratified_k_fold = cross_validation.StratifiedKFold(y, n_folds=n_folds)\n", " accuracy, ii = 0., 0\n", " for train, test in stratified_k_fold:\n", " ii += 1\n", " X_train, X_test, y_train, y_test = X[train], X[test], y[train], y[test]\n", " clf.fit(X_train, y_train)\n", " y_pred = clf.predict(X_test)\n", " score = scoring(y_test, y_pred)\n", " accuracy += score\n", " accuracy /= float(n_folds)\n", " return accuracy\n", "\n", "def plot_accuracies(accuracies, xvals, legends):\n", " fig = plt.figure(figsize=(16, 12))\n", " ax = fig.add_subplot(111)\n", " for ii in range(0, accuracies.shape[0]):\n", " ax.plot(xvals, accuracies[ii, :], color=next(colors), marker=next(markers), label=legends[ii])\n", " plt.xlabel(\"Number of Features\")\n", " plt.ylabel(\"Accuracy\")\n", " plt.title(\"Accuracy vs Number of Features\")\n", " ax.set_xscale(\"log\")\n", " box = ax.get_position()\n", " ax.set_position([box.x0, box.y0 + box.height * 0.3, box.width, box.height * 0.7])\n", " ax.legend(**_PLT_LEGEND_OPTIONS)\n", " plt.show()\n", "\n", "def estimator_name(clf):\n", " return type(clf).__name__\n", " \n", "def select_model(X, y, scoring=metrics.accuracy_score):\n", " n_features = np.array([10, 100, 500, 1000, 5000, 10000, 20000, 50000, 100000])\n", " clfs = [\n", " naive_bayes.BernoulliNB(),\n", " naive_bayes.MultinomialNB(),\n", " naive_bayes.GaussianNB(),\n", " tree.DecisionTreeClassifier(),\n", " ensemble.RandomForestClassifier(n_estimators=10),\n", " svm.LinearSVC(random_state=0),\n", " linear_model.LogisticRegression(),\n", " linear_model.SGDClassifier(),\n", " linear_model.RidgeClassifier(),\n", " ]\n", " \n", " classifier_names = map(estimator_name, clfs)\n", " feature_selection_methods = [feature_selection.f_classif]\n", " accuracies = np.zeros((len(clfs), len(n_features), len(feature_selection_methods)))\n", " for kk in range(len(feature_selection_methods)):\n", " X_feature_selected = X.copy().toarray()\n", " for jj in range(len(n_features)):\n", " for ii in range(len(clfs)):\n", " accuracies[ii, jj, kk] = cv(X_feature_selected, y, clfs[ii], n_features[jj], classifier_names[ii], scoring=scoring)\n", " for k in range(len(feature_selection_methods)):\n", " for i in range(len(clfs)):\n", " print \"%22s \" % classifier_names[i],\n", " for j in range(accuracies.shape[1]):\n", " print \"%5.3f\" % accuracies[i, j, k],\n", " print\n", " plot_accuracies(accuracies[:, :, k], n_features, classifier_names)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "with open(_NYT_DATA_PATH) as nyt:\n", " nyt_data = []\n", " nyt_labels = []\n", " csv_reader = csv.reader(nyt)\n", " for line in csv_reader:\n", " nyt_labels.append(int(line[0]))\n", " nyt_data.append(line[1])" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 3 }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Unigram & Bigram for features" ] }, { "cell_type": "code", "collapsed": false, "input": [ "X = np.array([''.join(el) for el in nyt_data])\n", "y = np.array([el for el in nyt_labels])\n", "\n", "\n", "vectorizer = text.TfidfVectorizer(min_df=2, \n", " ngram_range=(1, 2), \n", " stop_words='english', \n", " strip_accents='unicode', \n", " norm='l2')\n", " \n", "example = unicode(X[5])\n", "\n", "print(\"Example string: {}\".format(example))\n", "print(\"Preprocessed string: {}\".format(vectorizer.build_preprocessor()(example)))\n", "print(\"Tokenized string: {}\".format(str(vectorizer.build_tokenizer()(example))))\n", "print(\"N-gram data string: {}\".format(str(vectorizer.build_analyzer()(example))))" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Example string: Clinton Defends His Policies In Kosovo, China and Mexico\n", "Preprocessed string: clinton defends his policies in kosovo, china and mexico\n", "Tokenized string: [u'Clinton', u'Defends', u'His', u'Policies', u'In', u'Kosovo', u'China', u'and', u'Mexico']\n", "N-gram data string: [u'clinton', u'defends', u'policies', u'kosovo', u'china', u'mexico', u'clinton defends', u'defends policies', u'policies kosovo', u'kosovo china', u'china mexico']\n" ] } ], "prompt_number": 4 }, { "cell_type": "markdown", "metadata": {}, "source": [ "In TfidfVectorizer, one may choose the `ngram_range`, in this example, it is bigram and unigram. Choosing bigram enables us to capture phrases that could play an important role in determining the class of the observation in the dataset. If you believe, even a longer sequence of words `internet of things` play an important role, you could pass `ngram_range` to `(1, 3)` to include trigrams as well. " ] }, { "cell_type": "code", "collapsed": false, "input": [ "X" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 6, "text": [ "array(['Dole Courts Democrats', 'Yanks End Drought; Mets Fall in Opener',\n", " 'Lumpectomies Seen As Equal in Benefit To Breast Removals', ...,\n", " 'Delays Hurting U.S. Rebuilding In Afghanistan',\n", " 'SENATE APPROVES $1 BILLION TO AID COLOMBIA MILITARY',\n", " 'POLITICS: THE MONEY; A Hollywood Production: Political Money'], \n", " dtype='|S127')" ] } ], "prompt_number": 6 }, { "cell_type": "code", "collapsed": false, "input": [ "X = vectorizer.fit_transform(X)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 7 }, { "cell_type": "code", "collapsed": false, "input": [ "X" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 8, "text": [ "<2161x2171 sparse matrix of type ''\n", "\twith 10377 stored elements in Compressed Sparse Row format>" ] } ], "prompt_number": 8 }, { "cell_type": "code", "collapsed": false, "input": [ "select_model(X, y)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ " BernoulliNB 0.528 0.528 0.528 0.528 0.528 0.528 0.528 0.528 0.528\n", " MultinomialNB 0.581 0.581 0.581 0.581 0.581 0.581 0.581 0.581 0.581\n", " GaussianNB 0.549 0.549 0.549 0.549 0.549 0.549 0.549 0.549 0.549\n", "DecisionTreeClassifier 0.519 0.529 0.526 0.523 0.524 0.531 0.524 0.528 0.521\n", "RandomForestClassifier 0.595 0.593 0.589 0.600 0.601 0.589 0.601 0.588 0.587\n", " LinearSVC 0.671 0.671 0.671 0.671 0.671 0.671 0.671 0.671 0.671\n", " LogisticRegression 0.583 0.583 0.583 0.583 0.583 0.583 0.583 0.583 0.583\n", " SGDClassifier 0.608 0.608 0.608 0.608 0.608 0.608 0.608 0.608 0.608\n", " RidgeClassifier 0.679 0.679 0.679 0.679 0.679 0.679 0.679 0.679 0.679\n" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAABD0AAALACAYAAACQKAmFAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", "text": [ "" ] } ], "prompt_number": 17 }, { "cell_type": "markdown", "metadata": {}, "source": [ "This plot not only shows the relative strength of classifiers with respect to each for a given number of features but also provides a good picture on the effect of number of features for the classification task at the hand. Generally even if Scikit-Learn has all grid search other capabilities to output the best estimator for a given classifier or pipeline, I'd prefer some plot over those grids. You not only learn the best parameters but also effects of classifier and feature number in a one plot. \n", "And this could be easily adopted to different number of paramters(instead of number of features) for classifiers that share a number of parameters in the optimization to see the effect of each parameter visually rather than getting the best parameters. \n", "This way you could both explore and gain insights about parameters that the classifier has." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We could always pass another scoring function to compute the accuracies of each classifier. " ] }, { "cell_type": "code", "collapsed": false, "input": [ "select_model(X, y, scoring=metrics.f1_score)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ " BernoulliNB 0.468 0.468 0.468 0.468 0.468 0.468 0.468 0.468 0.468\n", " MultinomialNB 0.538 0.538 0.538 0.538 0.538 0.538 0.538 0.538 0.538\n", " GaussianNB 0.548 0.548 0.548 0.548 0.548 0.548 0.548 0.548 0.548\n", "DecisionTreeClassifier 0.537 0.534 0.526 0.535 0.538 0.532 0.535 0.531 0.534\n", "RandomForestClassifier 0.590 0.584 0.590 0.599 0.590 0.577 0.573 0.584 0.579\n", " LinearSVC 0.667 0.667 0.667 0.667 0.667 0.667 0.667 0.667 0.667\n", " LogisticRegression 0.554 0.554 0.554 0.554 0.554 0.554 0.554 0.554 0.554\n", " SGDClassifier 0.613 0.613 0.613 0.613 0.613 0.613 0.613 0.613 0.613\n", " RidgeClassifier 0.674 0.674 0.674 0.674 0.674 0.674 0.674 0.674 0.674\n" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAABD0AAALACAYAAACQKAmFAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nHRMAAAAASUVORK5CYII=\n", "text": [ "" ] } ], "prompt_number": 18 }, { "cell_type": "code", "collapsed": false, "input": [ "select_model(X, y, scoring=metrics.precision_score)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ " BernoulliNB 0.652 0.652 0.652 0.652 0.652 0.652 0.652 0.652 0.652\n", " MultinomialNB 0.676 0.676 0.676 0.676 0.676 0.676 0.676 0.676 0.676\n", " GaussianNB 0.555 0.555 0.555 0.555 0.555 0.555 0.555 0.555 0.555\n", "DecisionTreeClassifier 0.587 0.585 0.579 0.584 0.574 0.580 0.575 0.569 0.578\n", "RandomForestClassifier 0.603 0.610 0.617 0.602 0.599 0.598 0.582 0.611 0.605\n", " LinearSVC 0.674 0.674 0.674 0.674 0.674 0.674 0.674 0.674 0.674\n", " LogisticRegression 0.697 0.697 0.697 0.697 0.697 0.697 0.697 0.697 0.697\n", " SGDClassifier 0.662 0.662 0.662 0.662 0.662 0.662 0.662 0.662 0.662\n", " RidgeClassifier 0.687 0.687 0.687 0.687 0.687 0.687 0.687 0.687 0.687\n" ] }, { "output_type": "stream", "stream": "stderr", "text": [ "/Users/bugra/anaconda/lib/python2.7/site-packages/sklearn/metrics/metrics.py:1771: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAABD0AAALACAYAAACQKAmFAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nlSToIYQQQgghhBBCiLfS/wNSWs2ncDJt2QAAAABJRU5ErkJggg==\n", "text": [ "" ] } ], "prompt_number": 19 }, { "cell_type": "code", "collapsed": false, "input": [ "select_model(X, y, scoring=metrics.recall_score)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ " BernoulliNB 0.528 0.528 0.528 0.528 0.528 0.528 0.528 0.528 0.528\n", " MultinomialNB 0.581 0.581 0.581 0.581 0.581 0.581 0.581 0.581 0.581\n", " GaussianNB 0.549 0.549 0.549 0.549 0.549 0.549 0.549 0.549 0.549\n", "DecisionTreeClassifier 0.522 0.522 0.525 0.523 0.516 0.528 0.527 0.519 0.522\n", "RandomForestClassifier 0.595 0.607 0.592 0.590 0.594 0.603 0.595 0.591 0.600\n", " LinearSVC 0.671 0.671 0.671 0.671 0.671 0.671 0.671 0.671 0.671\n", " LogisticRegression 0.583 0.583 0.583 0.583 0.583 0.583 0.583 0.583 0.583\n", " SGDClassifier 0.608 0.608 0.608 0.608 0.608 0.608 0.608 0.608 0.608\n", " RidgeClassifier 0.679 0.679 0.679 0.679 0.679 0.679 0.679 0.679 0.679\n" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAABD0AAALACAYAAACQKAmFAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQmCC\n", "text": [ "" ] } ], "prompt_number": 20 }, { "cell_type": "code", "collapsed": false, "input": [], "language": "python", "metadata": {}, "outputs": [] } ], "metadata": {} } ] }