{ "cells": [ { "cell_type": "markdown", "id": "f71242e0", "metadata": {}, "source": [ "# Countering Sample Bias" ] }, { "cell_type": "markdown", "id": "87174b32", "metadata": {}, "source": [ "## Introduction\n", "\n", "This notebook will illustrate how to estimate performance using a baised sample. This is regarding the statistical of notion biased in the sense that a sample is not representative of the data at large. For example, if you are aggregating several surveys from different regions of a country and want to draw conclusions about the population of the entire country, you may wish to assign different weights to different surveys depending on the proportion of the population within the region the survey addressed and the number of people that answered the survey." ] }, { "cell_type": "markdown", "id": "c01837a8", "metadata": {}, "source": [ "## Example Data\n", "\n", "Let's say we have two regions and two surveys. All surveys asked the same questions:\n", "\n", "1. What is your age?\n", "2. How many years of education do you have?\n", "\n", "We want to build a model that predicts number of years of education given age for people throughout the country. However, the country's population is split as follows:\n", "\n", "* Region 1: 80%\n", "* Region 2: 20%\n", "\n", "Each survey had different proportions of respondants from different regions of the country, and different total numbers of respondants. We can't generally just combine all the survey results because they wouldn't generally be representative of the population as a whole. However, we can assign _weights_ to respondents in such a way that we can simulate the effect of a representative population given the proportions of respondants of each survey from each region." ] }, { "cell_type": "code", "execution_count": 1, "id": "dc6517e8", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " age education region\n", "0 22.028976 0.0 1\n", "1 44.912114 8.0 1\n", "2 26.045553 3.0 1\n", "3 31.072699 2.0 1\n", "4 43.903140 12.0 1\n", "... ... ... ...\n", "799995 80.995531 1.0 2\n", "799996 54.082933 3.0 2\n", "799997 35.139835 0.0 2\n", "799998 80.768232 3.0 2\n", "799999 60.227129 0.0 2\n", "\n", "[4000000 rows x 3 columns]" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import numpy\n", "import pandas\n", "from scipy.special import expit\n", "\n", "data = []\n", "total = 4 * 10 ** 6 # 4 million people in country\n", "regional_proportions = (.8, .2)\n", "for region, prop in enumerate(regional_proportions, start=1):\n", " n = int(total * prop)\n", " nprng = numpy.random.RandomState(region)\n", " age = nprng.uniform(18, 100, size=2 * n)\n", " demographic_offset = nprng.exponential(5)\n", " p = 1 - expit((age - 18) / 100 * demographic_offset)\n", " p /= p.sum()\n", " # rejection sample elder population to make more realistic age distribution\n", " age = nprng.choice(age, replace=False, size=n, p=p) \n", " \n", " education_offset = nprng.normal(0, 10)\n", " slope = (20 + education_offset) / (100 - 18)\n", " noise = nprng.normal(0, 3, size=n)\n", " education = (age - 18) * slope + noise\n", " education[education < 0] = 0\n", " data.append(pandas.DataFrame({'age': age,\n", " 'education': education.round(),\n", " 'region': region}))\n", "population = pandas.concat(data)\n", "population" ] }, { "cell_type": "markdown", "id": "7d3cdcad", "metadata": {}, "source": [ "## Visualization\n", "\n", "As you can see below, different regions have different age and education distributions. They also have slightly different relationships between age and education." ] }, { "cell_type": "code", "execution_count": 2, "id": "dfb92a56", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import seaborn as sns\n", "import matplotlib.pylab as plt\n", "\n", "plt.clf()\n", "sns.set_theme()\n", "\n", "sns.jointplot(data=population.sample(10000, replace=False, random_state=0),\n", " x=\"age\",\n", " y=\"education\",\n", " hue=\"region\",\n", " kind=\"kde\")\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "6df7d41c", "metadata": {}, "source": [ "## Survey Data\n", "\n", "While we don't know exactly which respondent was from what region, we know the proportions of respondents in each of our four surveys." ] }, { "cell_type": "code", "execution_count": 3, "id": "0befd11f", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[1. 1.]\n", "0.00746125\n" ] }, { "data": { "text/html": [ "
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29845 rows × 4 columns

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" ], "text/plain": [ " age education region survey\n", "570896 90.032094 10.0 2 1\n", "1908479 40.606486 14.0 1 2\n", "587338 40.794540 2.0 2 2\n", "1564287 26.087168 0.0 1 1\n", "728612 95.867544 2.0 2 1\n", "... ... ... ... ...\n", "750767 67.466088 6.0 2 1\n", "671308 29.609484 1.0 2 1\n", "229642 24.379894 0.0 2 1\n", "2139865 18.579931 1.0 1 2\n", "632943 47.067253 2.0 2 1\n", "\n", "[29845 rows x 4 columns]" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "n_respondents = (20000, 10000)\n", "survey_proportions = numpy.asarray(\n", " [\n", " [0.2, 0.8], # survey 1 region proportions\n", " [0.5, 0.5], # survey 2 region proportions\n", " ])\n", "print(survey_proportions.sum(1)) # each set of proportions sum to 1\n", "\n", "random_state = 0\n", "surveys = []\n", "for survey, n_sample in enumerate((survey_proportions.T * n_respondents).T.astype('int'), start=1):\n", " survey_data = []\n", " for region, region_population in population.groupby('region'):\n", " region_sample = region_population.sample(n=n_sample[region - 1],\n", " replace=False,\n", " random_state=random_state)\n", " survey_data.append(region_sample)\n", " random_state += 1\n", " survey_data = pandas.concat(survey_data)\n", " survey_data['survey'] = survey\n", " surveys.append(survey_data)\n", "sample_data = pandas.concat(surveys)\n", "\n", "# assume no one answered any surveys more than once\n", "sample_data = sample_data.sample(frac=1.)\n", "sample_data = sample_data.loc[~sample_data.index.duplicated()]\n", "not_sampled = population[~population.index.isin(sample_data.index)]\n", "\n", "# surveyed respondents comprise a negligible proportion to the entire population\n", "print(len(sample_data) / len(population))\n", "sample_data" ] }, { "cell_type": "code", "execution_count": 4, "id": "572ae153", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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General PopulationSurveyed Population
10.80.300385
20.20.699615
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" ], "text/plain": [ " General Population Surveyed Population\n", "1 0.8 0.300385\n", "2 0.2 0.699615" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# The surveyed population isn't representative of\n", "# the population at large\n", "region_proportions = pandas.DataFrame((\n", " population['region'].value_counts(normalize=True).rename('General Population'),\n", " sample_data['region'].value_counts(normalize=True).rename('Surveyed Population'))).sort_index().T\n", "region_proportions" ] }, { "cell_type": "code", "execution_count": 5, "id": "b2d1e2c7", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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ageeducationregionsurvey
57089690.03209410.021
190847940.60648614.012
58733840.7945402.022
156428726.0871680.011
72861295.8675442.021
...............
75076767.4660886.021
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29845 rows × 4 columns

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" ], "text/plain": [ " age education region survey\n", "570896 90.032094 10.0 2 1\n", "1908479 40.606486 14.0 1 2\n", "587338 40.794540 2.0 2 2\n", "1564287 26.087168 0.0 1 1\n", "728612 95.867544 2.0 2 1\n", "... ... ... ... ...\n", "750767 67.466088 6.0 2 1\n", "671308 29.609484 1.0 2 1\n", "229642 24.379894 0.0 2 1\n", "2139865 18.579931 1.0 1 2\n", "632943 47.067253 2.0 2 1\n", "\n", "[29845 rows x 4 columns]" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sample_data" ] }, { "cell_type": "markdown", "id": "3a6fa141", "metadata": {}, "source": [ "The surveys are varying mixtures of regional populations" ] }, { "cell_type": "code", "execution_count": 6, "id": "22fa82d9", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import seaborn as sns\n", "import matplotlib.pylab as plt\n", "\n", "plt.clf()\n", "sns.set_theme()\n", "\n", "sns.jointplot(data=sample_data.sample(10000, replace=False, random_state=0),\n", " x=\"age\",\n", " y=\"education\",\n", " hue=\"survey\",\n", " kind=\"kde\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 7, "id": "a36d265d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "19845 10000\n" ] }, { "data": { "text/plain": [ "33.079620678470135" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from sklearn.linear_model import LinearRegression\n", "from sklearn.model_selection import train_test_split\n", "from sklearn.metrics import mean_squared_error\n", "\n", "X = sample_data[['age']]\n", "y = sample_data['education']\n", "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=10000, random_state=0)\n", "print(len(y_train), len(y_test))\n", "model = LinearRegression().fit(X_train, y_train)\n", "mean_squared_error(y_test, model.predict(X_test))" ] }, { "cell_type": "code", "execution_count": 8, "id": "d71bdc5d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "63.30372141991118" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Since the survey data is not representative of the general population\n", "# it performs much worse in production than it did on a validation set\n", "X_real_world = not_sampled[['age']]\n", "y_real_world = not_sampled['education']\n", "mean_squared_error(y_real_world, model.predict(X_real_world))" ] }, { "cell_type": "markdown", "id": "81fc3736", "metadata": {}, "source": [ "## Reweighing Survey Data\n", "\n", "Given the proportions of respondents from each region in each of our surveys, we can derive weights that can be used to compensate for sample bias and give us a more realistic picture of the real world. In this example, we are computing the expected sqaured loss\n", "\n", "$L(\\mathrm{edu}, \\mathrm{edu}_\\mathrm{pred}) = (\\mathrm{edu}-\\mathrm{edu}_\\mathrm{pred})^2$.\n", "\n", "$\\mathbb{E}_{\\mathrm{edu, region}\\sim \\mathrm{country}}L(\\mathrm{edu},\\mathrm{edu}_\\mathrm{pred})\n", "=\\underset{\\mathrm{edu},\\mathrm{region} \\in \\mathrm{country}}{\\sum}L(\\mathrm{edu},\\mathrm{edu}_\\mathrm{pred})P(\\mathrm{edu},\\mathrm{region})$\n", "\n", "$=\\underset{\\mathrm{edu},\\mathrm{region} \\in \\mathrm{country}}{\\sum}L(\\mathrm{edu},\\mathrm{edu}_\\mathrm{pred})P(\\mathrm{edu},\\mathrm{region})\\frac{P(\\mathrm{edu},\\mathrm{region}|\\mathrm{surveyed})}{P(\\mathrm{edu},\\mathrm{region}|\\mathrm{surveyed})}$\n", "\n", "$=\\underset{\\mathrm{edu},\\mathrm{region} \\in \\mathrm{country}}{\\sum}L(\\mathrm{edu},\\mathrm{edu}_\\mathrm{pred})P(\\mathrm{edu},\\mathrm{region}|\\mathrm{surveyed})\\frac{P(\\mathrm{edu},\\mathrm{region})}{P(\\mathrm{edu},\\mathrm{region}|\\mathrm{surveyed})}$\n", "\n", "Assuming we have nonzero probability of surveying anyone,\n", "\n", "\n", "$=\\underset{\\mathrm{edu},\\mathrm{region} \\in \\mathrm{surveyed}}{\\sum}L(\\mathrm{edu},\\mathrm{edu}_\\mathrm{pred})P(\\mathrm{edu},\\mathrm{region}|\\mathrm{surveyed})\\frac{P(\\mathrm{edu},\\mathrm{region})}{P(\\mathrm{edu},\\mathrm{region}|\\mathrm{surveyed})}$\n", "\n", "$=\\mathbb{E}_{\\mathrm{edu, region}\\sim \\mathrm{surveyed}}L(\\mathrm{edu},\\mathrm{edu}_\\mathrm{pred})\\frac{P(\\mathrm{edu},\\mathrm{region})}{P(\\mathrm{edu},\\mathrm{region}|\\mathrm{surveyed})}$\n", "\n", "Since the act of surveying does not affect the relationship between region and edu, we have $P(\\mathrm{edu}|\\mathrm{region})=P(\\mathrm{edu}|\\mathrm{region}, \\mathrm{surveyed})$.\n", "\n", "Equivalently\n", "\n", "$\\frac{P(\\mathrm{edu},\\mathrm{region})}{P(\\mathrm{region})}=\\frac{P(\\mathrm{edu},\\mathrm{region}, \\mathrm{surveyed})}{P(\\mathrm{region}, \\mathrm{surveyed})}=\\frac{P(\\mathrm{edu},\\mathrm{region}| \\mathrm{surveyed})P(\\mathrm{surveyed})}{P(\\mathrm{region}, \\mathrm{surveyed})}$\n", "\n", "Switching the right hand numerator and left hand denonimator,\n", "\n", "$\\frac{P(\\mathrm{edu},\\mathrm{region})}{P(\\mathrm{edu},\\mathrm{region}| \\mathrm{surveyed})}=\\frac{P(\\mathrm{region})P(\\mathrm{surveyed})}{P(\\mathrm{region}, \\mathrm{surveyed})}=\\frac{P(\\mathrm{region})}{P(\\mathrm{region}|\\mathrm{surveyed})}=\\frac{P(\\mathrm{surveyed})}{P(\\mathrm{surveyed}|\\mathrm{region})}$\n", "\n", "So even though have only biased samples, we can get an unbiased estimate of an expectation over the true distribution by _reweighing_ our samples with a factor of $\\frac{P(\\mathrm{region})}{P(\\mathrm{region}|\\mathrm{surveyed})}=\\frac{P(\\mathrm{surveyed})}{P(\\mathrm{surveyed}|\\mathrm{region})}$.\n", "\n", "The latter is related to the [Horvitz-Thompson estimator](https://en.wikipedia.org/wiki/Horvitz%E2%80%93Thompson_estimator). The idiot proof way of doing this within Pandas, however, would just involve using the first expression by joining up a ratio of `value_counts(normalize=True)`." ] }, { "cell_type": "code", "execution_count": 9, "id": "a985ac53", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "1 2.663246\n", "2 0.285872\n", "dtype: float64" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "weights = region_proportions['General Population'] / region_proportions['Surveyed Population']\n", "weights" ] }, { "cell_type": "code", "execution_count": 10, "id": "7f0cbc8f", "metadata": {}, "outputs": [], "source": [ "# merge weights into sample data\n", "sample_data = sample_data.reset_index().merge(\n", " weights.rename('weights').reset_index().rename(columns={'index': 'region'})).set_index('index')" ] }, { "cell_type": "code", "execution_count": 11, "id": "d60d5b96", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "63.784047570574224" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# We get a much better match with production error using our weights\n", "\n", "mean_squared_error(y_test, model.predict(X_test), sample_weight=sample_data.loc[X_test.index, 'weights'])" ] }, { "cell_type": "markdown", "id": "250da32a", "metadata": {}, "source": [ "## Maximizing Performance\n", "\n", "Many machine learning APIs have an optional argument for sample weights. Scikit learn is pretty consistent about this. This allows us to train the model on a more realistic representation of production data, even if we have a biased sample. This is equivalent to (but more computationally efficient than) up or down sampling." ] }, { "cell_type": "code", "execution_count": 12, "id": "db1d2164", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "19845 10000\n" ] }, { "data": { "text/plain": [ "32.25887465682426" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from sklearn.linear_model import LinearRegression\n", "from sklearn.model_selection import train_test_split\n", "from sklearn.metrics import mean_squared_error\n", "\n", "X = sample_data[['age']]\n", "y = sample_data['education']\n", "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=10000, random_state=0)\n", "print(len(y_train), len(y_test))\n", "model = LinearRegression().fit(X_train, y_train, sample_weight=sample_data.loc[X_train.index, 'weights'])\n", "mean_squared_error(y_test, model.predict(X_test), sample_weight=sample_data.loc[X_test.index, 'weights'])" ] }, { "cell_type": "code", "execution_count": 13, "id": "421e9001", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "32.61086998013287" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Real world performance is much better when\n", "# the sample data accurately represents it!\n", "\n", "X_real_world = not_sampled[['age']]\n", "y_real_world = not_sampled['education']\n", "mean_squared_error(y_real_world, model.predict(X_real_world))" ] }, { "cell_type": "markdown", "id": "747cbe86", "metadata": {}, "source": [ "## ROC AUC\n", "\n", "It's less clear how to computed a weighted ROC AUC, but noting that ROC AUC is the probability that a randomly sampled positive would be ranked higher than a randomly sampled negative allows us to derive one readily using our weights. `mvtk.metrics.rank_auc` has an optional `weights` parameter that suffices for this use case.\n", "\n", "Let's say we need to compute the probability someone has at least 12 years of education (such as a high school graduate)." ] }, { "cell_type": "code", "execution_count": 14, "id": "4e6c32b6", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "19845 10000\n" ] }, { "data": { "text/plain": [ "0.7371047314285715" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from sklearn.neural_network import MLPClassifier\n", "from sklearn.model_selection import train_test_split\n", "from sklearn.metrics import roc_auc_score\n", "\n", "X = sample_data[['age']]\n", "y = sample_data['education'] >= 12\n", "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=10000, random_state=0)\n", "print(len(y_train), len(y_test))\n", "model = MLPClassifier(hidden_layer_sizes=tuple()).fit(X_train, y_train)\n", "roc_auc_score(y_test,\n", " model.predict_proba(X_test)[:, 1])" ] }, { "cell_type": "code", "execution_count": 15, "id": "329088f5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.8783547677682078" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X_real_world = not_sampled[['age']]\n", "y_real_world = not_sampled['education'] >= 12\n", "roc_auc_score(y_real_world,\n", " model.predict_proba(X_real_world)[:, 1])" ] }, { "cell_type": "code", "execution_count": 16, "id": "c1517245", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "WARNING:absl:No GPU/TPU found, falling back to CPU. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n" ] }, { "data": { "text/plain": [ "0.8825363120446511" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from mvtk.metrics import rank_auc\n", "\n", "rank_auc(y_test.values,\n", " model.predict_proba(X_test)[:, 1],\n", " weights=sample_data.loc[X_test.index, 'weights'].values)" ] }, { "cell_type": "markdown", "id": "1f2214e5", "metadata": {}, "source": [ "## Acknowledgements\n", "Thanks Mohammad Safarzadeh for reviewing many iterations of this derivation and example usage until they were rigorous and clear." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.8.2" } }, "nbformat": 4, "nbformat_minor": 5 }