{ "metadata": { "name": "week5_tutorial" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Psych 216A Tutorial 5: Model Accuracy" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This tutorial is intended to complement lecture #5.\n", "\n", "We will show how to:\n", "\n", "1. Use cross-validation to estimate $R^2$ and reduce data overfitting.\n", "\n", "2. Use cross-validation to estimate an $R^2$ for two models and select the\n", " most accurate model.\n", "\n", "Written by Franco Pestilli, PhD, Stanford University, May 2012\n", "\n", "Translated to Python by Michael Waskom, June 2012\n" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%pylab inline" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Welcome to pylab, a matplotlib-based Python environment [backend: module://IPython.zmq.pylab.backend_inline].\n", "For more information, type 'help(pylab)'.\n" ] } ], "prompt_number": 3 }, { "cell_type": "code", "collapsed": false, "input": [ "import seaborn\n", "seaborn.set()\n", "colors = seaborn.color_palette()\n", "import utils" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 4 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Models are attempts to describe data. Ideally a model's description of\n", "the data should be accurate and reliable. This would allow for making\n", "predictions on data that we have not collected.\n", "\n", "Accuracy and reliability are two important descriptors of the quality of\n", "a model.\n", "\n", "**Accuracy**: A model is accurate if the predictions it makes are close to\n", "measured data. The coefficient of determination ($R^2$) is a standard\n", "measure of model accuracy. $R^2$ expresses the percent of variance\n", "in the data explained by the model.\n", "\n", "**Reliability**: A model is reliable if the predictions (and the parameters)\n", "of the model vary minimally as the sample data used to fit\n", "the model changes. The standard deviation (or the confidence\n", "intervals) of a model's estimates is a good measure of\n", "model reliability.\n", "\n", "Model accuracy and reliability can be estimated using cross-validation\n", "and bootstrapping, respectively.\n", "\n", "In cross-validation, we fit a model to a subset of the total measured\n", "data and then we evaluate how well the model *predicts* the remaining\n", "data.\n", "\n", "In bootstrapping, we resample (with replacement) from the original data\n", "set and then fit the model of interest to each bootstrap sample. This\n", "allows us to quantify reliability; how much the model prediction changes\n", "as samples change.\n", "\n", "The present Tutorial focuses on model accuracy. Tutorial 6 will focus on\n", "model reliability." ] }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "(1) Use cross-validation to estimate model accuracy, and reduce overfitting." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The goal of fitting data to a sample is that of describing an underlying\n", "population that we cannot access. The only thing we have is the data in\n", "the sample. \n", "\n", "Unfortunately, every time we compute a model on a sample of data the\n", "model will overfit the sample. This means that the model will adjust \"too\n", "much\" to the specific sample, so that the model will be a better\n", "description of the sample than of the population we are interested in.\n", "\n", "Here after we will show how to use cross-validation to estimate model\n", "accuracy by computing a measure of $R^2$ that is not prone to overfitting.\n", "\n", "We will create a population using a straight line as model. We will then\n", "create a sample out of this population. We will then fit a straight line\n", "model to the sample.\n", "\n", "We will then estimate the accuracy of our model using the coefficient of\n", "determination ($R^2$). $R^2$ represent the percent of variance in the sample\n", "data explained by the model.\n", "\n", "Because we are using a good model (straight line), a straight line. The\n", "model will be accurate, its predictions will be close to the sample data.\n", "In other terms, it will represent the data very well.\n", "\n", "But the model we fit is tailored to the specific sample we had collected.\n", "When fitting a (good) model to a sample limited in size we are prone to\n", "overfitting. This means that the model will tend to describe the specific\n", "sample better than it would describe the true population. In other terms\n", "the $R^2$ estimated on the sample will be higher that should be.\n", "\n", "We will show how to use cross-validation to compute a coefficient of\n", "determination ($R^2$) that is not prone to overfitting." ] }, { "cell_type": "code", "collapsed": false, "input": [ "# We will first simulate a population. Using a \"true\" model of our choice; a straight line.\n", "x = repeat(arange(200), 100)\n", "x += randn(len(x)) * 5\n", "a, b = 2, 100 # Parameters of the model\n", "poly_order = 1 # A straight line\n", "y = polyval([a, b], x) + randn(len(x)) * 70" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 5 }, { "cell_type": "code", "collapsed": false, "input": [ "# Show the simulated true population\n", "plot(x, y, \"o\", markersize=3, alpha=.15)\n", "\n", "# Show the true model on top of the population\n", "true_m = polyval([a, b], x)\n", "plot(x, true_m, linewidth=4);" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "display_data", "png": 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dX8CDhD0Z4ZoahdkMEpBJZ4lEgsQCEgeyYV55boVMKkqrus6o3yRVOIxrT8jO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} ], "prompt_number": 6 }, { "cell_type": "code", "collapsed": false, "input": [ "# Now sample from the population\n", "sample_size = 20\n", "ind = permutation(arange(len(x)))[:sample_size]\n", "x_sample = x[ind]\n", "y_sample = y[ind]\n", "\n", "# Show the sample\n", "plot(x_sample, y_sample, \"o\")\n", "\n", "# Fit the model to the sample with a straight line model\n", "poly_order = 1\n", "ab = polyfit(x_sample, y_sample, poly_order)\n", "\n", "# Evalute the estimated model\n", "y_fit = polyval(ab, x_sample)\n", "\n", "# Show the model fit to the sample\n", "plot(x_sample, y_fit, colors[4]);" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "display_data", "png": 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A4QhrAAAcjrAGAMDhCGsAABzu/wHDegFc0xfdjQAAAABJRU5ErkJg\ngg==\n" } ], "prompt_number": 7 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can now compute the coefficient of determination ($R^2$) of the fitted\n", "model to the sample data. This number shows the percent of variance in\n", "the data explained by the model. We will use the following formula:\n", "\n", "$$R^2 = 1 - \\frac{\\sum{(y_i - \\hat{y_i})^2}}{\\sum{(y_i - \\bar{y})^2}}$$\n", "\n" ] }, { "cell_type": "code", "collapsed": false, "input": [ "# Define a function to compute R2 since we're doing it a few times\n", "compute_r2 = lambda true, pred: 1 - sum(square(true - pred)) / sum(square(true - mean(true)))\n", "r2 = compute_r2(y_sample, y_fit)\n", "print \"R^2 = %.2f\" % r2" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "R^2 = 0.81\n" ] } ], "prompt_number": 8 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The percent of explained variance seem to be decent (it should be above\n", "70%). But we know that some overfitting is going on here. \n", "\n", "To show this we will now compute the $R^2$ of the true model to the sample\n", "data. This value wll be lower then the previous $R^2$, indicating that the\n", "fitted model does not describe the true population as well as it\n", "describes the given sample. The improved accuracy of the fitted model\n", "on the sample data is called overfitting." ] }, { "cell_type": "code", "collapsed": false, "input": [ "y_fit_truem = polyval([a, b], x_sample)\n", "r2_true = compute_r2(y_sample, y_fit_truem)\n", "print \"True R^2: %.2f\" % r2_true" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "True R^2: 0.78\n" ] } ], "prompt_number": 9 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can use cross-validation to reduce overfitting.\n", "\n", "To do so, we will use leave-one-out cross validation and split the sample\n", "data into two sets, a training- and a testing-%set. \n", "\n", "We will fit the straight-line model to the \"training set\" and compute the R2 on the \"test\n", "set.\" This procedures reduces overfitting because the model prediction is\n", "never made on the same sample used for fitting. So any excessive\n", "tailoring of the model to the training sample will reduced the quality of\n", "the predicion on the test sample.\n", "\n", "We will use the cross validation objects from the scikit-learn package for concise, flexible code." ] }, { "cell_type": "code", "collapsed": false, "input": [ "# Use leave-one-out cross validation\n", "from sklearn.cross_validation import LeaveOneOut\n", "y_hat = zeros_like(y_fit)\n", "\n", "# Iterate through the folds\n", "for i, (train, test) in enumerate(LeaveOneOut(sample_size)):\n", " # Split the data\n", " x_train, x_test = x_sample[train], x_sample[test]\n", " y_train, y_test = y_sample[train], y_sample[test]\n", " \n", " # We fit the model to the training set\n", " ab_hat = polyfit(x_train, y_train, 1)\n", " \n", " # Make a prediction about the held-out sample and enter into the yhat vector\n", " y_hat[i] = polyval(ab_hat, x_test)\n", "\n", "# Compute the cross-validated R^2\n", "r2_cv = compute_r2(y_sample, y_hat)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 10 }, { "cell_type": "code", "collapsed": false, "input": [ "print \"R^2 estimated on the sample: %.2f\" % r2\n", "print \"R^2 estimated on the population: %.2f\" % r2_true\n", "print \"Cross-validated R^2: %.2f\" % r2_cv" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "R^2 estimated on the sample: 0.81\n", "R^2 estimated on the population: 0.78\n", "Cross-validated R^2: 0.77\n" ] } ], "prompt_number": 11 }, { "cell_type": "markdown", "metadata": {}, "source": [ "You might noticed that the cross-validated $R^2$ can be smaller than\n", "either the $R^2$ computed on the original sample or $R^2$ of the true\n", "population model to the sample data. This is because the cross\n", "validation $R^2$ is computed on a subset of the data (sample_size - 1 in our\n", "case). So each estimate is noisier than the estimate on the full\n", "sample.\n", "\n", "Cross-validation can be used to reduce overfitting. But the exact value\n", "of the $R^2$ obtained via cross-validation will depends on a series of\n", "factors:\n", "\n", "1. the true noise level in the population.\n", "2. the size of your sample.\n", "3. the complexty of your model, i.e., how many parameters.\n", "\n", "So all the cross-valdiated $R^2$ really tells us is the accuracy of the\n", "model in describing the population without overfitting. What we cannot\n", "say is whether the exact value of cross-validated $R^2$ is similar to the\n", "population $R^2$." ] }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "(2) Use cross-validation to select the best of two models." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here we will show how to use cross-vlidation to select the best of two\n", "models.\n", "\n", "Ideally, the model that has a higher $R^2$ is better or more accurate at\n", "describing the data.\n", "\n", "But, if we were to compare how accurate two different models are and we\n", "were to judge model accuracy by using the non cross-validated $R^2$, we\n", "could be erroneously selecting the wrong mpdel. For example we could\n", "select a model that has higher-degree of overfitting. A model that\n", "overfits the data more will have a higher non cross-validated R2 on the\n", "sample data set.\n", "\n", "So, when interested in selecting the best among several models we should\n", "always use cross-validate $R^2$. These $R^2$ evaluate the accuracy of a model\n", "with out overfitting the data." ] }, { "cell_type": "code", "collapsed": false, "input": [ "# Plot the original population\n", "plot(x, y, \"o\", markersize=3, alpha=.15)\n", "xlabel(\"X\")\n", "ylabel(\"Y\")\n", "\n", "# Show the true model on top of the population\n", "plot(x, true_m, linewidth=3, alpha=.7)\n", "\n", "# Show the sample\n", "plot(x_sample, y_sample, \"o\", markersize=8, alpha=.8)\n", "\n", "# Show the fit of the linear model from above\n", "plot(x_sample, y_fit, linewidth=3, alpha=.7)\n", "\n", "# Now let's fit a more complex model. A plolynomial of 4th order.\n", "# This model is not similar to a the true model (a straight line), but will\n", "# represent better the specific data in the sample better than a straight\n", "# line, because it will be able to adapt better to the small variability in\n", "# the data in the sample due to chance.\n", "params = polyfit(x_sample, y_sample, deg=4)\n", "y_fit_p4 = polyval(params, x_sample)\n", "sorter = argsort(x_sample)\n", "plot(x_sample[sorter], y_fit_p4[sorter], linewidth=3, alpha=.7);" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "display_data", "png": 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SrtBo1YnEEhQL6xw6fBScKZ3BmEG/z3e+9Zsosky73SU7s0C1XGA2lxbJffeY8qBvWCwW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\nJBnTZYgkrSyAR5M5qpQ8a+mt1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hjHDwiijPZaC99zKVorF01YgfpVd0C9tUm328PK5ZgM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} ], "prompt_number": 12 }, { "cell_type": "code", "collapsed": false, "input": [ "# The polynomial of 4th order (gold) passes closer to each sample data\n", "# point (red) than the straight line (purple) does. It shuld have a higher\n", "# R2 than the straight-line model.\n", "r2_line = compute_r2(y_sample, y_fit)\n", "r2_cube = compute_r2(y_sample, y_fit_p4)\n", "print \"Line model: %.2f\" % r2_line\n", "print \"Cubic model: %.2f\" % r2_cube" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Line model: 0.81\n", "Cubic model: 0.84\n" ] } ], "prompt_number": 13 }, { "cell_type": "markdown", "metadata": {}, "source": [ "So if we where to judge the accuracy of these two models from the\n", "computed $R^2$, we would select the polynomial of order 4. But what we are\n", "really interested in is to choose the model that best represet the true\n", "population. So, choosing the polynomial of order 4 would be a mistake.\n", "(Remember, that we created the population from a straight line model.)\n", "\n", "To choose the best model we need a measure of model accuracy that is not\n", "prone to overfitting. We have seen above that cross validation allows us\n", "to reduce overfitting. So we will now compute the cross-validate $R^2$ for\n", "both models and show that after taking care of overfitting the polynomial\n", "does not fit the data better anymore." ] }, { "cell_type": "code", "collapsed": false, "input": [ "yhat_line = zeros_like(y_sample)\n", "yhat_cube = zeros_like(y_sample)\n", "\n", "for i, (train, test) in enumerate(LeaveOneOut(sample_size)):\n", " \n", " x_train = x_sample[train]\n", " y_train = y_sample[train]\n", " \n", " x_test = x_sample[test]\n", " \n", " line_model = polyfit(x_train, y_train, 1)\n", " cube_model = polyfit(x_train, y_train, 4)\n", " \n", " yhat_line[i] = polyval(line_model, x_test)\n", " yhat_cube[i] = polyval(cube_model, x_test)\n", "\n", "r2_line_cv = compute_r2(y_sample, yhat_line)\n", "r2_cube_cv = compute_r2(y_sample, yhat_cube)\n", "\n", "print \"Line model (full fit): %.2f\" % r2_line\n", "print \"Line model (cross-validated): %.2f\" % r2_line_cv\n", "print \"Cubic model (full fit): %.2f\" % r2_cube\n", "print \"Cubic model (cross-validated): %.2f\" % r2_cube_cv" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Line model (full fit): 0.81\n", "Line model (cross-validated): 0.77\n", "Cubic model (full fit): 0.84\n", "Cubic model (cross-validated): 0.70\n" ] } ], "prompt_number": 14 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The polynomial had a higher degree of overfitting. This can be seen by\n", "comparing the $R^2$ of the polynomial with the cross-validated $R^2$. The\n", "larger the difference the larger the overfitting. \n", "\n", "This means that polynomial is not a more accurate model in describing the\n", "data than a straight line, but instead it overfits the sample more." ] } ], "metadata": {} } ] }