{ "cells": [ { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "# Generate advanced model insights\n", "\n", "This notebook explores model insights available for DataRobot's Python client. You can download this notebook using the icon in the top right of the page. Download the dataset used in this notebook [here](10k_diabetes.csv)." ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Setup\n", "\n", "### Import libraries\n", "\n", "Import the libraries in the following snippet. Some of these will assist with the presentation of model insights." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "import datarobot as dr\n", "from datarobot.enums import AUTOPILOT_MODE\n", "from datarobot.errors import ClientError\n", "import matplotlib.pyplot as plt\n", "import matplotlib.ticker as mtick\n", "import numpy as np\n", "import pandas as pd" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Configure DataRobot API authentication\n", "\n", "Read more about different options for [connecting to DataRobot API from the client](https://docs.datarobot.com/en/docs/api/api-quickstart/api-qs.html)." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# If the config file is not in the default location described in the API Quickstart guide, '~/.config/datarobot/drconfig.yaml', then you will need to call\n", "# dr.Client(config_path='path-to-drconfig.yaml')" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Import data" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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racegenderageweightadmission_type_iddischarge_disposition_idadmission_source_idtime_in_hospitalpayer_codemedical_specialty...glipizide_metforminglimepiride_pioglitazonemetformin_rosiglitazonemetformin_pioglitazonechangediabetesMedreadmitteddiag_1_descdiag_2_descdiag_3_desc
0CaucasianFemale[50-60)?ElectiveDischarged to homePhysician Referral1CPSurgery-Neuro...NoNoNoNoNoNoFalseSpinal stenosis in cervical regionSpinal stenosis in cervical regionEffusion of joint, site unspecified
1CaucasianFemale[20-30)[50-75)UrgentDischarged to homePhysician Referral2UN?...NoNoNoNoNoNoFalseFirst-degree perineal laceration, unspecified ...Diabetes mellitus of mother, complicating preg...Sideroblastic anemia
2CaucasianMale[80-90)?Not AvailableDischarged/transferred to home with home healt...NaN7MCFamily/GeneralPractice...NoNoNoNoNoYesTruePneumococcal pneumonia [Streptococcus pneumoni...Congestive heart failure, unspecifiedHyperosmolality and/or hypernatremia
3AfricanAmericanFemale[50-60)?EmergencyDischarged to homeTransfer from another health care facility4UN?...NoNoNoNoNoYesFalseCellulitis and abscess of faceStreptococcus infection in conditions classifi...Diabetes mellitus without mention of complicat...
4AfricanAmericanFemale[50-60)?EmergencyDischarged to homeEmergency Room5?Psychiatry...NoNoNoNoChYesFalseBipolar I disorder, single manic episode, unsp...Diabetes mellitus without mention of complicat...Depressive type psychosis
\n", "

5 rows × 51 columns

\n", "
" ], "text/plain": [ " race gender age weight admission_type_id \\\n", "0 Caucasian Female [50-60) ? Elective \n", "1 Caucasian Female [20-30) [50-75) Urgent \n", "2 Caucasian Male [80-90) ? Not Available \n", "3 AfricanAmerican Female [50-60) ? Emergency \n", "4 AfricanAmerican Female [50-60) ? Emergency \n", "\n", " discharge_disposition_id \\\n", "0 Discharged to home \n", "1 Discharged to home \n", "2 Discharged/transferred to home with home healt... \n", "3 Discharged to home \n", "4 Discharged to home \n", "\n", " admission_source_id time_in_hospital payer_code \\\n", "0 Physician Referral 1 CP \n", "1 Physician Referral 2 UN \n", "2 NaN 7 MC \n", "3 Transfer from another health care facility 4 UN \n", "4 Emergency Room 5 ? \n", "\n", " medical_specialty ... glipizide_metformin glimepiride_pioglitazone \\\n", "0 Surgery-Neuro ... No No \n", "1 ? ... No No \n", "2 Family/GeneralPractice ... No No \n", "3 ? ... No No \n", "4 Psychiatry ... No No \n", "\n", " metformin_rosiglitazone metformin_pioglitazone change diabetesMed \\\n", "0 No No No No \n", "1 No No No No \n", "2 No No No Yes \n", "3 No No No Yes \n", "4 No No Ch Yes \n", "\n", " readmitted diag_1_desc \\\n", "0 False Spinal stenosis in cervical region \n", "1 False First-degree perineal laceration, unspecified ... \n", "2 True Pneumococcal pneumonia [Streptococcus pneumoni... \n", "3 False Cellulitis and abscess of face \n", "4 False Bipolar I disorder, single manic episode, unsp... \n", "\n", " diag_2_desc \\\n", "0 Spinal stenosis in cervical region \n", "1 Diabetes mellitus of mother, complicating preg... \n", "2 Congestive heart failure, unspecified \n", "3 Streptococcus infection in conditions classifi... \n", "4 Diabetes mellitus without mention of complicat... \n", "\n", " diag_3_desc \n", "0 Effusion of joint, site unspecified \n", "1 Sideroblastic anemia \n", "2 Hyperosmolality and/or hypernatremia \n", "3 Diabetes mellitus without mention of complicat... \n", "4 Depressive type psychosis \n", "\n", "[5 rows x 51 columns]" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data_path = \"10k_diabetes.csv\"\n", "\n", "df = pd.read_csv(data_path)\n", "df.head()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Modeling\n", "\n", "### Create a project\n", "\n", "Create a new project using the `10K_diabetes.csv` dataset, containing the target `readmitted` (framed as a binary classification problem)." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Project ID: 635c2f3ba5c95929466f3cb7\n" ] } ], "source": [ "project = dr.Project.create(data_path, project_name=\"10K Diabetes Adv Modeling\")\n", "print(\"Project ID: {}\".format(project.id))" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Start Autopilot" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Project(10K Diabetes Adv Modeling)" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "project.analyze_and_model(\n", " target=\"readmitted\",\n", " worker_count=-1,\n", ")" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "In progress: 14, queued: 0 (waited: 0s)\n", "In progress: 14, queued: 0 (waited: 1s)\n", "In progress: 14, queued: 0 (waited: 1s)\n", "In progress: 14, queued: 0 (waited: 2s)\n", "In progress: 14, queued: 0 (waited: 3s)\n", "In progress: 14, queued: 0 (waited: 5s)\n", "In progress: 11, queued: 0 (waited: 9s)\n", "In progress: 10, queued: 0 (waited: 16s)\n", "In progress: 6, queued: 0 (waited: 29s)\n", "In progress: 1, queued: 0 (waited: 49s)\n", "In progress: 7, queued: 0 (waited: 70s)\n", "In progress: 1, queued: 0 (waited: 90s)\n", "In progress: 16, queued: 0 (waited: 111s)\n", "In progress: 10, queued: 0 (waited: 131s)\n", "In progress: 6, queued: 0 (waited: 151s)\n", "In progress: 2, queued: 0 (waited: 172s)\n", "In progress: 0, queued: 0 (waited: 192s)\n", "In progress: 5, queued: 0 (waited: 213s)\n", "In progress: 1, queued: 0 (waited: 233s)\n", "In progress: 4, queued: 0 (waited: 253s)\n", "In progress: 1, queued: 0 (waited: 274s)\n", "In progress: 1, queued: 0 (waited: 294s)\n", "In progress: 0, queued: 0 (waited: 315s)\n", "In progress: 0, queued: 0 (waited: 335s)\n" ] } ], "source": [ "project.wait_for_autopilot()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Get the top-performing model" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "model = project.get_top_model()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Model insights\n", "\n", "The following sections outline the various model insights DataRobot has to offer. Before proceeding, set color constants to replicate the visual style of DataRobot." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "dr_dark_blue = \"#08233F\"\n", "dr_blue = \"#1F77B4\"\n", "dr_orange = \"#FF7F0E\"\n", "dr_red = \"#BE3C28\"" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Feature Impact\n", "\n", "[Feature Impact](https://docs.datarobot.com/en/docs/modeling/analyze-models/understand/feature-impact.html) measures how important a feature is in the context of a model. It measures how much the accuracy of a model would decrease if that feature was removed.\n", "\n", "Feature Impact is available for all model types and works by altering input data and observing the effect on a model’s score. It is an on-demand feature, meaning that you must initiate a calculation to see the results. Once DataRobot computes the feature impact for a model, that information is saved with the project." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "feature_impacts = model.get_or_request_feature_impact()" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.04, 'Feature Impact')" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Formats the ticks from a float into a percent\n", "percent_tick_fmt = mtick.PercentFormatter(xmax=1.0)\n", "\n", "impact_df = pd.DataFrame(feature_impacts)\n", "impact_df.sort_values(by=\"impactNormalized\", ascending=True, inplace=True)\n", "\n", "# Positive values are blue, negative are red\n", "bar_colors = impact_df.impactNormalized.apply(lambda x: dr_red if x < 0 else dr_blue)\n", "\n", "ax = impact_df.plot.barh(\n", " x=\"featureName\", y=\"impactNormalized\", legend=False, color=bar_colors, figsize=(10, 14)\n", ")\n", "ax.xaxis.set_major_formatter(percent_tick_fmt)\n", "ax.xaxis.set_tick_params(labeltop=True)\n", "ax.xaxis.grid(True, alpha=0.2)\n", "ax.set_facecolor(dr_dark_blue)\n", "\n", "plt.ylabel(\"\")\n", "plt.xlabel(\"Effect\")\n", "plt.xlim((None, 1)) # Allow for negative impact\n", "plt.title(\"Feature Impact\", y=1.04)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Histogram\n", "\n", "The [histogram](https://docs.datarobot.com/en/docs/data/analyze-data/histogram.html#histogram-chart) chart \"buckets\" numeric feature values into equal-sized ranges to show frequency distribution of the variable—the target observation (Y-axis) plotted against the frequency of the value (X-axis). The height of each bar represents the number of rows with values in that range.\n", "\n", "The helper function below, `matplotlib_pair_histogram`, is used to draw histograms paired with the project's target feature (`readamitted` in this case). The function includes an orange line in every histogram bin that indicates the average target feature value for rows in that bin." ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [], "source": [ "def matplotlib_pair_histogram(labels, counts, target_avgs, bin_count, ax1, feature):\n", " # Rotate categorical labels\n", " if feature.feature_type in [\"Categorical\", \"Text\"]:\n", " ax1.tick_params(axis=\"x\", rotation=45)\n", " ax1.set_ylabel(feature.name, color=dr_blue)\n", " ax1.bar(labels, counts, color=dr_blue)\n", " # Instantiate a second axes that shares the same x-axis\n", " ax2 = ax1.twinx()\n", " ax2.set_ylabel(target_feature_name, color=dr_orange)\n", " ax2.plot(labels, target_avgs, marker=\"o\", lw=1, color=dr_orange)\n", " ax1.set_facecolor(dr_dark_blue)\n", " title = \"Histogram for {} ({} bins)\".format(feature.name, bin_count)\n", " ax1.set_title(title)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "The next function, `draw_feature_histogram`, gets the histogram data and draws the histogram using the previous helper function. \n", "\n", "Before using the function, you can retrieve downsampled histogram data using the snippet below:" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[{'label': '1.0', 'count': 755, 'target': 0.36026490066225164},\n", " {'label': '14.5', 'count': 895, 'target': 0.3240223463687151},\n", " {'label': '28.0', 'count': 1875, 'target': 0.3744},\n", " {'label': '41.5', 'count': 2159, 'target': 0.38490041685965726},\n", " {'label': '55.0', 'count': 1603, 'target': 0.45414847161572053},\n", " {'label': '68.5', 'count': 557, 'target': 0.5080789946140036}]" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "feature = dr.Feature.get(project.id, \"num_lab_procedures\")\n", "feature.get_histogram(bin_limit=6).plot" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "For best accuracy, DataRobot recommends using divisors of 60 for `bin_limit`. Any value less than or equal to 60 can be used.\n", "\n", "The `target` values are project target input average values for a given bin." ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "def draw_feature_histogram(feature_name, bin_count):\n", " feature = dr.Feature.get(project.id, feature_name)\n", " # Retrieve downsampled histogram data from server\n", " # based on desired bin count\n", " data = feature.get_histogram(bin_count).plot\n", " labels = [row[\"label\"] for row in data]\n", " counts = [row[\"count\"] for row in data]\n", " target_averages = [row[\"target\"] for row in data]\n", " f, axarr = plt.subplots()\n", " f.set_size_inches((10, 4))\n", " matplotlib_pair_histogram(labels, counts, target_averages, bin_count, axarr, feature)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Lastly, specify the feature name, target, and desired bin count to create the feature histograms. You can view an example below:" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "feature_name = \"num_lab_procedures\"\n", "target_feature_name = \"readmitted\"\n", "\n", "draw_feature_histogram(\"num_lab_procedures\", 12)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Categorical and other feature types are supported as well:" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "feature_name = \"medical_specialty\"\n", "\n", "draw_feature_histogram(\"medical_specialty\", 10)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Lift Chart\n", "\n", "A [lift chart](https://docs.datarobot.com/en/docs/modeling/analyze-models/evaluate/lift-chart.html#lift-chart) shows you how close model predictions are to the actual values of the target in the training data. The lift chart data includes the average predicted value and the average actual values of the target, sorted by the prediction values in ascending order and split into up to 60 bins." ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "LiftChart(validation)" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "lc = model.get_lift_chart(\"validation\")\n", "lc" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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actualpredictedbin_weight
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" ], "text/plain": [ " actual predicted bin_weight\n", "0 0.000000 0.076155 27.0\n", "1 0.148148 0.117283 27.0\n", "2 0.076923 0.146873 26.0\n", "3 0.148148 0.168664 27.0\n", "4 0.111111 0.182873 27.0" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "bins_df = pd.DataFrame(lc.bins)\n", "bins_df.head()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "The following snippet defines functions for rebinning and plotting." ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [], "source": [ "def rebin_df(raw_df, number_of_bins):\n", " cols = [\"bin\", \"actual_mean\", \"predicted_mean\", \"bin_weight\"]\n", " new_df = pd.DataFrame(columns=cols)\n", " current_prediction_total = 0\n", " current_actual_total = 0\n", " current_row_total = 0\n", " x_index = 1\n", " bin_size = 60 / number_of_bins\n", " for rowId, data in raw_df.iterrows():\n", " current_prediction_total += data[\"predicted\"] * data[\"bin_weight\"]\n", " current_actual_total += data[\"actual\"] * data[\"bin_weight\"]\n", " current_row_total += data[\"bin_weight\"]\n", "\n", " if (rowId + 1) % bin_size == 0:\n", " x_index += 1\n", " bin_properties = {\n", " \"bin\": ((round(rowId + 1) / 60) * number_of_bins),\n", " \"actual_mean\": current_actual_total / current_row_total,\n", " \"predicted_mean\": current_prediction_total / current_row_total,\n", " \"bin_weight\": current_row_total,\n", " }\n", "\n", " new_df = new_df.append(bin_properties, ignore_index=True)\n", " current_prediction_total = 0\n", " current_actual_total = 0\n", " current_row_total = 0\n", " return new_df\n", "\n", "\n", "def matplotlib_lift(bins_df, bin_count, ax):\n", " grouped = rebin_df(bins_df, bin_count)\n", " ax.plot(range(1, len(grouped) + 1), grouped[\"predicted_mean\"], marker=\"+\", lw=1, color=dr_blue)\n", " ax.plot(range(1, len(grouped) + 1), grouped[\"actual_mean\"], marker=\"*\", lw=1, color=dr_orange)\n", " ax.set_xlim([0, len(grouped) + 1])\n", " ax.set_facecolor(dr_dark_blue)\n", " ax.legend(loc=\"best\")\n", " ax.set_title(\"Lift chart {} bins\".format(bin_count))\n", " ax.set_xlabel(\"Sorted Prediction\")\n", " ax.set_ylabel(\"Value\")\n", " return grouped" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Note that while this method works for any bin count less then 60, the most reliable result can be achieved when the number of bins is a divisor of 60.\n", " \n", "Additionally, this visualization method does not work for a bin count greater than 60 because DataRobot does not provide enough information for a larger resolution." ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "No handles with labels found to put in legend.\n", "No handles with labels found to put in legend.\n", "No handles with labels found to put in legend.\n", "No handles with labels found to put in legend.\n", "No handles with labels found to put in legend.\n", "No handles with labels found to put in legend.\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "bin_counts = [10, 12, 15, 20, 30, 60]\n", "f, axarr = plt.subplots(len(bin_counts))\n", "f.set_size_inches((8, 4 * len(bin_counts)))\n", "\n", "rebinned_dfs = []\n", "for i in range(len(bin_counts)):\n", " rebinned_dfs.append(matplotlib_lift(bins_df, bin_counts[i], axarr[i]))\n", "plt.tight_layout()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Rebinned Data\n", "\n", "You can retrieve raw re-binned data for use in third-party tools or for additional evaluation" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of bins: 10\n", " bin actual_mean predicted_mean bin_weight\n", "0 1.0 0.13750 0.159916 160.0\n", "1 2.0 0.17500 0.233332 160.0\n", "2 3.0 0.27500 0.276564 160.0\n", "3 4.0 0.28750 0.317841 160.0\n", "4 5.0 0.41250 0.355449 160.0\n", "5 6.0 0.33750 0.394435 160.0\n", "6 7.0 0.49375 0.436481 160.0\n", "7 8.0 0.54375 0.490176 160.0\n", "8 9.0 0.62500 0.559797 160.0\n", "9 10.0 0.68125 0.697142 160.0\n", "Number of bins: 12\n", " bin actual_mean predicted_mean bin_weight\n", "0 1.0 0.134328 0.151886 134.0\n", "1 2.0 0.180451 0.220872 133.0\n", "2 3.0 0.210526 0.259316 133.0\n", "3 4.0 0.313433 0.294237 134.0\n", "4 5.0 0.293233 0.327699 133.0\n", "5 6.0 0.413534 0.358398 133.0\n", "6 7.0 0.353383 0.390993 133.0\n", "7 8.0 0.440299 0.425269 134.0\n", "8 9.0 0.556391 0.465567 133.0\n", "9 10.0 0.556391 0.515761 133.0\n", "10 11.0 0.609023 0.583067 133.0\n", "11 12.0 0.701493 0.712181 134.0\n", "Number of bins: 15\n", " bin actual_mean predicted_mean bin_weight\n", "0 1.0 0.084112 0.142650 107.0\n", "1 2.0 0.177570 0.206029 107.0\n", "2 3.0 0.207547 0.241613 106.0\n", "3 4.0 0.271028 0.269917 107.0\n", "4 5.0 0.308411 0.297614 107.0\n", "5 6.0 0.264151 0.324330 106.0\n", "6 7.0 0.420561 0.349149 107.0\n", "7 8.0 0.367925 0.374717 106.0\n", "8 9.0 0.336449 0.400959 107.0\n", "9 10.0 0.485981 0.428771 107.0\n", "10 11.0 0.518868 0.460771 106.0\n", "11 12.0 0.551402 0.500419 107.0\n", "12 13.0 0.603774 0.543591 106.0\n", "13 14.0 0.635514 0.610431 107.0\n", "14 15.0 0.719626 0.730594 107.0\n", "Number of bins: 20\n", " bin actual_mean predicted_mean bin_weight\n", "0 1.0 0.0500 0.132253 80.0\n", "1 2.0 0.2250 0.187579 80.0\n", "2 3.0 0.1750 0.221244 80.0\n", "3 4.0 0.1750 0.245419 80.0\n", "4 5.0 0.2500 0.266226 80.0\n", "5 6.0 0.3000 0.286902 80.0\n", "6 7.0 0.3375 0.308215 80.0\n", "7 8.0 0.2375 0.327466 80.0\n", "8 9.0 0.4250 0.346325 80.0\n", "9 10.0 0.4000 0.364573 80.0\n", "10 11.0 0.3625 0.384512 80.0\n", "11 12.0 0.3125 0.404358 80.0\n", "12 13.0 0.4875 0.425218 80.0\n", "13 14.0 0.5000 0.447743 80.0\n", "14 15.0 0.5875 0.474525 80.0\n", "15 16.0 0.5000 0.505826 80.0\n", "16 17.0 0.6250 0.536862 80.0\n", "17 18.0 0.6250 0.582731 80.0\n", "18 19.0 0.6250 0.640753 80.0\n", "19 20.0 0.7375 0.753532 80.0\n", "Number of bins: 30\n", " bin actual_mean predicted_mean bin_weight\n", "0 1.0 0.037037 0.117812 54.0\n", "1 2.0 0.132075 0.167957 53.0\n", "2 3.0 0.245283 0.194772 53.0\n", "3 4.0 0.111111 0.217077 54.0\n", "4 5.0 0.264151 0.234340 53.0\n", "5 6.0 0.150943 0.248885 53.0\n", "6 7.0 0.259259 0.262677 54.0\n", "7 8.0 0.283019 0.277293 53.0\n", "8 9.0 0.283019 0.289984 53.0\n", "9 10.0 0.333333 0.305103 54.0\n", "10 11.0 0.226415 0.317688 53.0\n", "11 12.0 0.301887 0.330972 53.0\n", "12 13.0 0.415094 0.343545 53.0\n", "13 14.0 0.425926 0.354649 54.0\n", "14 15.0 0.396226 0.368169 53.0\n", "15 16.0 0.339623 0.381265 53.0\n", "16 17.0 0.314815 0.394318 54.0\n", "17 18.0 0.358491 0.407725 53.0\n", "18 19.0 0.452830 0.422268 53.0\n", "19 20.0 0.518519 0.435153 54.0\n", "20 21.0 0.509434 0.452046 53.0\n", "21 22.0 0.528302 0.469495 53.0\n", "22 23.0 0.641509 0.489711 53.0\n", "23 24.0 0.462963 0.510929 54.0\n", "24 25.0 0.641509 0.530756 53.0\n", "25 26.0 0.566038 0.556426 53.0\n", "26 27.0 0.666667 0.591609 54.0\n", "27 28.0 0.603774 0.629608 53.0\n", "28 29.0 0.698113 0.676879 53.0\n", "29 30.0 0.740741 0.783314 54.0\n", "Number of bins: 60\n", " bin actual_mean predicted_mean bin_weight\n", "0 1.0 0.037037 0.097886 27.0\n", "1 2.0 0.037037 0.137739 27.0\n", "2 3.0 0.076923 0.162243 26.0\n", "3 4.0 0.185185 0.173459 27.0\n", "4 5.0 0.333333 0.188488 27.0\n", "5 6.0 0.153846 0.201298 26.0\n", "6 7.0 0.148148 0.213213 27.0\n", "7 8.0 0.074074 0.220940 27.0\n", "8 9.0 0.307692 0.229899 26.0\n", "9 10.0 0.222222 0.238617 27.0\n", "10 11.0 0.111111 0.245402 27.0\n", "11 12.0 0.192308 0.252501 26.0\n", "12 13.0 0.259259 0.258865 27.0\n", "13 14.0 0.259259 0.266489 27.0\n", "14 15.0 0.230769 0.273597 26.0\n", "15 16.0 0.333333 0.280852 27.0\n", "16 17.0 0.333333 0.286678 27.0\n", "17 18.0 0.230769 0.293418 26.0\n", "18 19.0 0.259259 0.301547 27.0\n", "19 20.0 0.407407 0.308660 27.0\n", "20 21.0 0.346154 0.314679 26.0\n", "21 22.0 0.111111 0.320585 27.0\n", "22 23.0 0.307692 0.327277 26.0\n", "23 24.0 0.296296 0.334530 27.0\n", "24 25.0 0.407407 0.340926 27.0\n", "25 26.0 0.423077 0.346264 26.0\n", "26 27.0 0.444444 0.351782 27.0\n", "27 28.0 0.407407 0.357515 27.0\n", "28 29.0 0.461538 0.364479 26.0\n", "29 30.0 0.333333 0.371723 27.0\n", "30 31.0 0.407407 0.378530 27.0\n", "31 32.0 0.269231 0.384105 26.0\n", "32 33.0 0.407407 0.390886 27.0\n", "33 34.0 0.222222 0.397751 27.0\n", "34 35.0 0.461538 0.403918 26.0\n", "35 36.0 0.259259 0.411391 27.0\n", "36 37.0 0.481481 0.419135 27.0\n", "37 38.0 0.423077 0.425521 26.0\n", "38 39.0 0.555556 0.431010 27.0\n", "39 40.0 0.481481 0.439296 27.0\n", "40 41.0 0.538462 0.448068 26.0\n", "41 42.0 0.481481 0.455876 27.0\n", "42 43.0 0.576923 0.464854 26.0\n", "43 44.0 0.481481 0.473965 27.0\n", "44 45.0 0.703704 0.484397 27.0\n", "45 46.0 0.576923 0.495230 26.0\n", "46 47.0 0.444444 0.505163 27.0\n", "47 48.0 0.481481 0.516694 27.0\n", "48 49.0 0.615385 0.526190 26.0\n", "49 50.0 0.666667 0.535152 27.0\n", "50 51.0 0.592593 0.548849 27.0\n", "51 52.0 0.538462 0.564293 26.0\n", "52 53.0 0.555556 0.581138 27.0\n", "53 54.0 0.777778 0.602079 27.0\n", "54 55.0 0.576923 0.619633 26.0\n", "55 56.0 0.629630 0.639213 27.0\n", "56 57.0 0.666667 0.662629 27.0\n", "57 58.0 0.730769 0.691678 26.0\n", "58 59.0 0.666667 0.740971 27.0\n", "59 60.0 0.814815 0.825658 27.0\n" ] } ], "source": [ "for rebinned in rebinned_dfs:\n", " print(\"Number of bins: {}\".format(len(rebinned.index)))\n", " print(rebinned)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### ROC Curve\n", "\n", "The receiver operating characteristic curve, or [ROC curve](https://docs.datarobot.com/en/docs/modeling/analyze-models/evaluate/roc-curve-tab/roc-curve.html#roc-curve), is a graphical plot that illustrates the performance of a binary classifier system as its discrimination threshold is varied. The curve is created by plotting the true positive rate (TPR) against the false positive rate (FPR) at various threshold settings." ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "RocCurve(validation)" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "roc = model.get_roc_curve(\"validation\")\n", "roc" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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accuracyf1_scorefalse_negative_scoretrue_negative_scoretrue_positive_scorefalse_positive_scoretrue_negative_ratefalse_positive_ratetrue_positive_ratematthews_correlation_coefficientpositive_predictive_valuenegative_predictive_valuethresholdfraction_predicted_as_positivefraction_predicted_as_negativelift_positivelift_negative
00.6031250.000000635965001.0000000.0000000.0000000.0000000.0000.6031251.0000000.0000001.0000000.0000001.000000
10.6037500.003145634965101.0000000.0000000.0015750.0308291.0000.6035020.8780300.0006250.9993752.5196851.000625
20.6056250.012520631965401.0000000.0000000.0062990.0617151.0000.6046370.8490790.0025000.9975002.5196851.002506
30.6068750.021773628964710.9989640.0010360.0110240.0692760.8750.6055280.7883080.0050000.9950002.2047241.003984
40.6081250.0368666239611240.9958550.0041450.0188980.0725400.7500.6066920.7643270.0100000.9900001.8897641.005914
\n", "
" ], "text/plain": [ " accuracy f1_score false_negative_score true_negative_score \\\n", "0 0.603125 0.000000 635 965 \n", "1 0.603750 0.003145 634 965 \n", "2 0.605625 0.012520 631 965 \n", "3 0.606875 0.021773 628 964 \n", "4 0.608125 0.036866 623 961 \n", "\n", " true_positive_score false_positive_score true_negative_rate \\\n", "0 0 0 1.000000 \n", "1 1 0 1.000000 \n", "2 4 0 1.000000 \n", "3 7 1 0.998964 \n", "4 12 4 0.995855 \n", "\n", " false_positive_rate true_positive_rate matthews_correlation_coefficient \\\n", "0 0.000000 0.000000 0.000000 \n", "1 0.000000 0.001575 0.030829 \n", "2 0.000000 0.006299 0.061715 \n", "3 0.001036 0.011024 0.069276 \n", "4 0.004145 0.018898 0.072540 \n", "\n", " positive_predictive_value negative_predictive_value threshold \\\n", "0 0.000 0.603125 1.000000 \n", "1 1.000 0.603502 0.878030 \n", "2 1.000 0.604637 0.849079 \n", "3 0.875 0.605528 0.788308 \n", "4 0.750 0.606692 0.764327 \n", "\n", " fraction_predicted_as_positive fraction_predicted_as_negative \\\n", "0 0.000000 1.000000 \n", "1 0.000625 0.999375 \n", "2 0.002500 0.997500 \n", "3 0.005000 0.995000 \n", "4 0.010000 0.990000 \n", "\n", " lift_positive lift_negative \n", "0 0.000000 1.000000 \n", "1 2.519685 1.000625 \n", "2 2.519685 1.002506 \n", "3 2.204724 1.003984 \n", "4 1.889764 1.005914 " ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df = pd.DataFrame(roc.roc_points)\n", "df.head()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "#### Threshold operations\n", "\n", "You can get the recommended threshold value with a maximal F1 score using the `RocCurve.get_best_f1_threshold` method. That is the same threshold that is preselected in the DataRobot application when you open the **ROC curve** tab." ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.3204921984454553" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "threshold = roc.get_best_f1_threshold()\n", "threshold" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "To estimate metrics for different threshold values, pass it to the `RocCurve.estimate_threshold` method. This produces the same results as updating the threshold in the **ROC Curve** tab." ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'accuracy': 0.606875,\n", " 'f1_score': 0.6231276213301378,\n", " 'false_negative_score': 115,\n", " 'true_negative_score': 451,\n", " 'true_positive_score': 520,\n", " 'false_positive_score': 514,\n", " 'true_negative_rate': 0.46735751295336786,\n", " 'false_positive_rate': 0.5326424870466321,\n", " 'true_positive_rate': 0.8188976377952756,\n", " 'matthews_correlation_coefficient': 0.2929107725430276,\n", " 'positive_predictive_value': 0.5029013539651838,\n", " 'negative_predictive_value': 0.7968197879858657,\n", " 'threshold': 0.3204921984454553,\n", " 'fraction_predicted_as_positive': 0.64625,\n", " 'fraction_predicted_as_negative': 0.35375,\n", " 'lift_positive': 1.2671530178650299,\n", " 'lift_negative': 1.3211519800801919}" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "metrics = roc.estimate_threshold(threshold)\n", "metrics" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Use the following snippet to plot the ROC curve." ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(0.0, 1.0)" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "roc_df = df\n", "dr_roc_green = \"#03c75f\"\n", "white = \"#ffffff\"\n", "dr_purple = \"#65147D\"\n", "dr_dense_green = \"#018f4f\"\n", "\n", "threshold = roc.get_best_f1_threshold()\n", "fig = plt.figure(figsize=(8, 8))\n", "axes = fig.add_subplot(1, 1, 1, facecolor=dr_dark_blue)\n", "\n", "plt.scatter(roc_df.false_positive_rate, roc_df.true_positive_rate, color=dr_roc_green)\n", "plt.plot(roc_df.false_positive_rate, roc_df.true_positive_rate, color=dr_roc_green)\n", "plt.plot([0, 1], [0, 1], color=white, alpha=0.25)\n", "plt.title(\"ROC curve\")\n", "plt.xlabel(\"False Positive Rate\")\n", "plt.xlim([0, 1])\n", "plt.ylabel(\"True Positive Rate\")\n", "plt.ylim([0, 1])" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Confusion matrix\n", "\n", "Using keys from the retrieved metrics, you can build a confusion matrix for the selected threshold." ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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PredictedTotal
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" ], "text/plain": [ " Predicted Total\n", " - + \n", "Actual - 511 454 962\n", " + 144 491 638\n", "Total 655 945 1600" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "roc_df = pd.DataFrame(\n", " {\n", " \"Predicted Negative\": [\n", " metrics[\"true_negative_score\"],\n", " metrics[\"false_negative_score\"],\n", " metrics[\"true_negative_score\"] + metrics[\"false_negative_score\"],\n", " ],\n", " \"Predicted Positive\": [\n", " metrics[\"false_positive_score\"],\n", " metrics[\"true_positive_score\"],\n", " metrics[\"true_positive_score\"] + metrics[\"false_positive_score\"],\n", " ],\n", " \"Total\": [\n", " len(roc.negative_class_predictions),\n", " len(roc.positive_class_predictions),\n", " len(roc.negative_class_predictions) + len(roc.positive_class_predictions),\n", " ],\n", " }\n", ")\n", "roc_df.index = pd.MultiIndex.from_tuples([(\"Actual\", \"-\"), (\"Actual\", \"+\"), (\"Total\", \"\")])\n", "roc_df.columns = pd.MultiIndex.from_tuples([(\"Predicted\", \"-\"), (\"Predicted\", \"+\"), (\"Total\", \"\")])\n", "roc_df.style.set_properties(**{\"text-align\": \"right\"})\n", "roc_df" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Prediction distribution plot\n", "\n", "You can use various methods to plot prediction distribution. The method used depends on what packages you have installed. Three different visualizations are outlined below.\n", "\n", "#### Seaborn" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0,0.5,'Probability Density')" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import seaborn as sns\n", "\n", "sns.set_style(\"whitegrid\", {\"axes.grid\": False})\n", "\n", "fig = plt.figure(figsize=(8, 8))\n", "axes = fig.add_subplot(1, 1, 1, facecolor=dr_dark_blue)\n", "\n", "shared_params = {\"shade\": True, \"clip\": (0, 1), \"bw\": 0.2}\n", "sns.kdeplot(np.array(roc.negative_class_predictions), color=dr_purple, **shared_params)\n", "sns.kdeplot(np.array(roc.positive_class_predictions), color=dr_dense_green, **shared_params)\n", "\n", "plt.title(\"Prediction Distribution\")\n", "plt.xlabel(\"Probability of Event\")\n", "plt.xlim([0, 1])\n", "plt.ylabel(\"Probability Density\")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "#### SciPy" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0,0.5,'Probability Density')" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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yIURRkUQuJqzSDRLUAaJGwlPT6iP6zTgaLevkQoiiIolcTFiDUwXAkJHMcyRT4yiXqJGk3q7OdyhCCDFtJJGLCau3q0hjESvg3urj6TOHqNDlhNyyfIcihBDTQhK5mBgNDXY1Q0aqII8snag+I4ZC0WzJ9LoQojhIIhcTEtHlhHUZQx5dHx8xNNKuVRK5EKJISCIXE1JvZ9fHBz26Pj5CS7tWIUSRkUQuJqTBriKDTczjiRygz4xTjp9aN5LvUIQQYq9JIhcTUu9UZaelPbw+PmKkR3yLVZfnSIQQYu9JIhfjCroBKt0gMSOF9vD6+IiUkZF2rUKIoiGJXIyrYXh9PGp4ry3rWPqNGDVuGOUWwScTIURJk0QuxlXvVGHjEC2C9fERA2YcHyYNTmW+QxFCiL0iiVyMq8HOro97ef/4+/UbcQDmSLtWIYTHSSIXe1Tm+qh2wwwZSbTS+Q5n2mQMm4RK0yDtWoUQHieJXOxRvTOyPu7dtqxj6TfiVLshTFknF0J4mCRysUcNdhUOLlEVz3co027AjA2vk8uoXAjhXZLIxR7Vj6yPG8WzPj6i3xxeJ7dkG5oQwrskkYsxmdqgxo0QUyncIlofH2Eph7hKjR7PKoQQXiSJXIypxgljoIgb6XyHMmP6jThVbhjTlZeCEMKb5N1LjKnGyfYijxdhoduIfjOOiUGTrJMLITxKErkYU60bxsIhoYp3RD5gxtFoWScXQniWJHIxphonQsJIY6viPe/TVg5xlaZeRuRCCI+SRC52S+nsGnlCpYuqEczu9BsxqtwgPlknF0J4kLxzid2qcIP4MIu60G1EvxnHwGCOnIYmhPAgSeRit2qHC90SqngL3UYMjqyTS991IYQHSSIXu1XjRHBxiZVAIrdV9nnOlpPQhBAeJIlc7FatGyGu0kXZ0W13+s0YlW6QgOvLdyhCCDEpksjFrjTUOmGSRgaX4i50GzGyTj5XpteFEB4jiVzsIqgDlOsAcZWGEjkYbMCI4+DSbEkiF0J4iyRysYvRQrci7uj2fq7SDBrx7LGtpTEJIYQoEpLIxS5qnDAAsSLu6LY7vWaMkC6j2g3nOxQhhJgwSeRiF7VOhIRKkzasfIeSU33mEAAtmbo8RyKEEBMniVzsosaJkFQZHIq3NevuJFSGlMpIwZsQwlMkkYud+LVJpQ5mO7qVSKHbKAW9RowaNyztWoUQniHvVmInI+vjxXzi2Z70mUP4MGmSdq1CCI+QRC52MnIGecxI5jmS/Og347hoWmxZJxdCeIMkcrGTWidCBpuUKq1CtxGOcokaCRrsatmGJoTwBEnkYic1Tpi4kcZWpdGadXd6zSEiupwKtzzfoQghxLgkkYtRhlZUu2GSKo0utUK39+gzYwC0WLPyHIkQQoxv2k+IsCyLG2+8kW3btpHJZPjiF7/IRz/60dHr16xZw6OPPkptbXaLzze+8Q3mzZs33WGIKah0Q5gYJXEG+Z7EVIoMNnPtWt5ka77DEUKIPZr2RP74449TXV3NHXfcwcDAAKeffvpOifz111/n29/+NkuWLJnuhxZ7aaQ1aykcXbpHKju9PsupxHBBdqIJIQrZtCfyk08+mZNOOgkArTWmae50/RtvvMEDDzxAd3c3xx13HJdddtl0hyCmqMYJ4+CSKPEROWSn15ucGhqdGrYb/fkORwghxjTtY41wOEwkEiEWi3HllVdy1VVX7XT9Kaecws0338yPf/xjXnnlFf74xz9OdwhiiqrcEEmVKelCtxF9ZgyNpsWSbWhCiMI2I5OGO3bs4KKLLmLFihWcdtppo5drrbn44oupra0lEAhw7LHH8uabb85ECGIKqp1sIi+VM8j3xFYOUSPJHGnXKoQocNOeyHt6erjkkku49tprOeuss3a6LhaLceqppxKPx9Fa89JLL8laeYHwa5OwLs9Oq5dwxfp7dZoDRHQ5s+yKfIcihBBjmvY18vvuu49oNMq9997LvffeC8DZZ59NMplk5cqVXH311Vx00UUEAgGWLVvGscceO90hiCmockIApFQmz5EUjm5flP2sJuZnGujxDeU7HCGE2C2ltS7IedRXXnmFo1dek+8wSsb8TANHJRfxt8BGBnzxfIeTc6lGTWyRpuYlhZn615TEB1P7UK4DPBZ5UbouCCFm1J8eWc3SpUsnfTt5axIAVJdoxbo2Nb0fdtm2UjN4KGw9X5Op+tfxrZ2+QYI6QKNTnccohRBibJLIBVCaFevpes3W8zUDR0D5dqj8f+CEYNv5kGrIJvNucxAXzfxMQ56jFUKI3ZNELoDSq1gfOESz9VyNHYaKV6HyVQhtUdQ+C2jYfg7E93WxlUufMcRcuxbcce9WCCFyThK5KLmKdatS0/sRTaAXql+E0CYw7OwT98cUtf8fGAno+CRE93fp9A1Shp9m2YomhChAkshFyVWsDxyqQUP4bQhEFep9n158aUXdc+Abgt7joSswgIPLfEum14UQhUcSuaDKzSbyRAkkcieoGVoCZR0QGBj75wxbUfEGuOXQf4imxxyiya7BcEtgykII4SmSyEVJVawPflCj/RDcDGqcpBzoBt8gDB4KHb4+/Phos2fnKFIhhJgYSeSiZCrWXb9m8GAIdEKgb/yfVygi74ATgU0HxbBx2Neqn/lAhRBiEiSRi5KpWI8uATcI5e1gOBObIi/bDmYc+o/QdJmDNNrV+Fxz/BsKIUSOSCIvcaVSsa4NzcChGn8vlHdP/HYKRehdsGvgnYU9mBgstBpnLtACoYMK7c93FEKIiZj2XuvCW0qlYj22CJxKCP8dDGtyn1hCWyC+P7QflSL+zxSL0nN5M7CtqD746AqFO9ePO8fEneODahPSGvPZBObbVjE9VSGKjozIS1wpVKxrNP2HaXyDENgx+dsrVxFaD5lGeKO1g4gup9kqnj3lzgEBMhdVYp8Qwl0QQFkatT4DKRfnxDDWKWF0uaRyIQqVJPISVwoV64l9wJoF5VvAl5laQgptAmXBu8dEsbA5MNM8rTHmizPfj318ENXjYPwlifG/CYy/pDDfymA+l0S9k0G3+ch8ugJnnsy1C1GIJJGXuGzFerqoK9bjCzUqk+2nPlWGrQhuhGQrvDu7i3qniionOH1B5oHb7MP+WAgGXNTraYwuByOjUcM1jwow38lg/CkJFtifCGMfIMlciEIjibzEZSvWraKtWNdKE58HgR4wU3t3X+FNgIJ/Lu1DA4tTrdMQYX64DSbWKWGIuRivpzDiY///N6Iu5rMJGHRwjgnhhmSaXYhCIom8hJVCxXpqbnbLWaAblN67J2kmFf5eGFzk0mUO0GbPwu/BrWhurYF1WjhbzPZ6GiM6/oc4pcH8Wwp8YH80lIMohRATJYm8hJVCxXp8vgYbynqm5/6C7dkGMf/ctwsfJgek507PHeeINsD6eBg0mK+noX/iR7qpmB5eM/fjLJQpdiEKhSTyElbsFesaTXxBtoubmZie+yzfDriw4+A0UZVkP6vJU8ebOgeXQY2J8W4GepxJT8QY6y2IOtgfCeKWFek0jhAeI4m8hBV7xXpmNtiVw9Pq03TYiWEryjohsS+0l3UR0mXs45H+6zqkcA4vR3XZqO32lFZTlAbz72kIKOyPervYT4hiIYm8hBV7xXp8gQY3m8inU3AL6DLYuP8gaSwOTHtjK5p9VBBMMDZYKHvq96OiLmq9hZ4XwJknPaWEyDdJ5CWs2CvW4/PB3w++2PTeb1lndk95dDFs8fVQ51bQaFVN74NMM7fRxN0/gNpqQd/ef3Az3s1AzMU+NoSc7CpEfkkiL1G+4Yr1pJEpyop1q0qTmQ2B3okfkDJRylWUb4NkM2wJ92LhcHB6n2l9jOmkFdgfCULSRW20UNOwpq9cMP6ZhrCBlr3lQuSVJPISNVKxnizSQrf4/OzXQOfM3H9wK+CDgcUuW3w91DtVzLIrZubB9pJ7QABd78sm8dj0zb6oDgcSLvYh5UU6pyOEN0giL1H/qlgvzkK3+IJsb3V/dGbu398LRhKGDoBt/l5sHA5O7TMzD7YXdEBhLyuHPge1dXoPP1GAWpeBGhN3X1krFyJfJJGXqCo3iFukFet2UJOak022e1PUtScKRfkWyNRDstJmm6+PJqeaGjs8Mw84Rc4HyyBoYGzIYMzA5Iux1YaMxllaPv13LoSYEEnkJarKCZNUGZzpWDAtMIn5gIKyrmzCnSnBrYAB0SWwxd+Diy6otXIdyO4bV502qntmdiYoF9SGDLrRh9MgbydC5IO88kpUlRsipSwcL3UzmaD4fI0Zz1aszyT/kMI3mD3r3FIOO8x+5tq1VDiFMTp1PlAGZQqj3WImdxgamy1wNM7hsq9ciHyQRF6CDK2IuOXZjm5FVrHumppk6/Aadg7q+IJbwK6B1GyXdn92w3ohrJVrf3ZaXXXb0DOzfQKUBardQrf6cCuL7A9KCA+QRF6CKt0QBopULjJdjqXmgvaBv29mp9VHlG8DNEQPgrRh0zl8mErICcz4Y++Jc1AZlBuodntGR+MjjA1W9nEPL4zZCCFKiSTyEvSvrWfFV+iWbNPgQFlvbh7PTCn8PRBfAC4um/3dKBRL0i25CWA3tB+cQ8pQPXZ2RJ4DKqlRO2zc/QK45TIqFyKXJJGXoCo3hEYTK8JEnmgF/wCYydw9ZmgLuGFItkHSyNBrDDHPasDn5ufl5SzJVqqrzfaMVe3vjrHeAp/KHswihMgZSeQlaKTQzTaKq8e6HdJk6rNFbmqau7ntSdkOwMlWrwNs8ffix8eizJycxTBC+0ZG407ORuMjVNSFAQd3f780iBEihySRl6AqJ5TdelZkFevJ4dlsf19uH9ewFWUdkNwHXNNlwIgTU6lsIs9xRnMWl0HIQG3Zu4NRpsrYbEGFidsiDWKEyBVJ5CVGaah0g6SKsGI92aZR6dwnchg+ES0AsYWAgnZ/D2FdTps1K2cxaBOcQ8uyXdy68pDFAbXdBlvjHJTfYj8hSokk8hITcYOYGEXXY12jSbRlp9XNPDy1si5QGRhanP2+yxwkg53TI07dAwMQNrL7xq2cPexOlJNN5rrVjytL5ULkhCTyElM90mO9yLaeWbXgRCDQB0rnfqpBaUX5VkjNASfoopVmq6+XWW4ltXZkxh9fG2Afmu2pTmd+RuMjjPZs0Zu7WDK5ELkgibzEjGw9K7bDUhJt2a/+HG07253gVsCE6AHZ77f7+3BxOSjdOuOP7R4QgAoDY4uFkafR+KgBF4YcnANlel2IXJBEXmIqhyvWM3l/t59eyVaNGQP/UP5i8PeDGYfYcCK3lEOHOUCzXUtwBhvEaAPspWUw4EBHfkfjkC29MDbbUG3iNJn5DkeIoieJvMRUOyFSRVaxrk1NsmV421keP5+Mnog2GzJV2d/vFn8vBgaLZ3Ct3F0YgEqzMEbjw9S24f7rUvQmxIyTRF5KdHZEnlQZ8rCMPGNSTdluZrlqy7onwfbs14HDs18TRpp+I8a+dgMz8dlJK7APK4NBB3bkfzQ+QlmgOm30vgFc2YkmxIySRF5CQroMP2b2sJQikmjT4IK/J9+RgC+Z3VMeWwSOP5u5t/v6Kdd+Wuy6aX88dz8/VJsYW+ycHBIzGWqzDX6VraYXQswYSeQlpHq40K3YDktJDrdl9eWwLeuehNdl95QPHpL9vseMYuOwwGqc1sfJjsbLIerA9sIZjY9QvQ4kXJwDpXpdiJkkibyEVLnFV7HulGvSDdn1cSOHbVn3xN8HvgGIHpw9SMVVmm4zSpNdg8+dvuIvd6Efak3UFhsjU3hNURXZ402ZZeLWyluNEDNFXl0lpMoJkcEmVSgVUdMg2Qqo/HRzG4tCEV6X3dce2z97WYevHxODBVbDtDyG9oG9LAgDDmpb4Y3GRxhbbdA6e6yqEGJGSCIvIVVuiKRRXBXriVaNsgorkQOUbwcjCYNLs98PGAlSKsO8zPQkcufQcogYGBusghyNj1ApDb0O7gJ/Ef3VCVFYJJGXCp0dkadUBq0K941/spKtw/u3C2y1QGlFaANk6iHZ5IKCDnOAWjdChVO+V/etIwrn0DJUh43Kcxe3iTDabQga6H2lfF2ImSCJvESUaz9l+Enmc6P1NLOqNHbV8LazAtxPF9oMONB/RPb7Dt9XoFhzAAAgAElEQVQACsXCdNNe3a99VBAAY4OF8sBJtKpj+CCVJTK9LsRMkEReIkYK3YrpsJR8HVs6UYalCG7OHm+aqXBJGhkGjQRt9uwp7yl3G03chQHUVgv6PZDFAeWC2majm31ykIoQM0ASeYkY7bFupPIcyfRJtGqMJPgH8x3J2MIbAAUDw6PyHb5+wrqcBqdq0velAfuYICRd1CYLL62QGFssMBWubEUTYtpJIi8RVW4IG6doRuQaPbo+Xsjb4n1xRdl2GFoCqQaXbnMQF5eFmclPr7uL/OgGXzaJxzyUxSF7kErcxdlfmsMIMd0kkZeIKidEQmVwVHHUDmdmgxsc7q+e57as46l6LduytPMUyPgceswh5tq1mO7E43arjexovN9BbbEL/BnvanRPeZ2JWydvO0JMJ3lFlYhqN0zKyOB6aT52DxLDJ4MGCqAt63iMjKLqFbCroPt4TYdvAD8+Wu3ZE7q9LlNYp4ZBgfl2pqC3m+2JsS27p9yWojchppUk8hIQcH0EdaBoptVh+NjSKPhi+Y5kYsq7FcGNEDsItsyP4uDSZs0a93baAOvjoexZ429koMcbBW67o1Iaehy07CkXYlpJIi8BxVaxrk1Nam62v7oq/G3UoyrfADMGnSdrdoQGaLCr91i9rgH72CC62Y96J5PdN56zaGeGsWV4T/k82VMuxHSRRF4CqocTedwosK4pUzRybGmgAI4tnQzlKKpfBrcMXjqtEz8mTU7NmD/vfLAMd3EZalMGY5NFMZQ3qA4bLNlTLsR0kkReAqqckYr14kjkidbssaW+3nxHMnn+QUXkbehfYLH28+8QXFCx09nwGnAbTKwTQjgfLkd12qh3vNH4ZSKye8ot9Fwfbrl3PoQJUchkfqsEVLthkkVUsV5ox5ZOVvgdMNJgt7i8dVoUBiswX06jhg8X0Q0+sDRqq41617vFbWMx2m2cfQI4BwUw/locHy6FyKdpT+SWZXHjjTeybds2MpkMX/ziF/noRz86ev0zzzzDPffcg8/n48wzz+Scc86Z7hDE+1Q5IeIqjYv3E4JTlj22NLipcI4tnSyFIrQZ9nmlknBVhP89cRPOR7PLHwy52fXwHdm94kWyyWBnUReiDu7+AZBELsRem/ZE/vjjj1NdXc0dd9zBwMAAp59++mgityyL2267jccee4xgMMh5553H8uXLmTVr/OpdMTV+bRLSZXSbUTy0nDymVDNgZNfHva6zcoiPvj2XgcEa/nbwDpSp0N02KlMU/6vGpMiOyt0lZThNJuaOIlk3ECJPpn2N/OSTT+Y//uM/ANBaY5rm6HXr16+ntbWVqqoqAoEAS5cu5a9//et0hyDeY7Q1a5FUrBfqsaVTkQxYRMtStEbrMDqy54obRZ7ER6htFrga5yDp9CbE3pr2RB4Oh4lEIsRiMa688kquuuqq0etisRgVFRU7/Wws5pGNwB5V7YYBSBVJIh9ZHy+0Y0unqqMiSm0iRNAqrYSmrGwFu943gCuVOkLslRmpWt+xYwcXXXQRK1as4LTTThu9PBKJEI/HR7+Px+M7JXYx/aqcEA4u8SI4LMWOaKza4bask2hvWsg6q6IoFPtE6/IdSs6pdhv8KrtWLoSYsmlP5D09PVxyySVce+21nHXWWTtdN3/+fDZv3szAwACZTIaXX36ZQw45ZLpDEO9R5YZIqHRRVKwn2rJf/R7cdjaWwfIkKZ9F62BtvkPJOdXjQNLFPVASuRB7Y9onte677z6i0Sj33nsv9957LwBnn302yWSSlStXcv3113PppZeitebMM8+koaFhukMQ71E9fFhKMVSsJ9uGjy0dyHck00hlp9ebB2rwOQa26f0PXBOlALXFRu/nx61RGP3e/xsVIh+mPZGvWrWKVatWjXn98uXLWb58+XQ/rNgNvzYJ63J6zSHPV1BpNAkPHFs6FZ2VUfbpr6MlVsvGKg+cAjONjC0Wzn5+nIPKMJ71/vKPEPkgnd2K2EjFejH0WM/UDx9b6rG2rBPRG45jGw5tpTi9ntTQ6+DuF6BIyh6EyDlJ5EVs5LCUYth6NrI+Hiii9fERrqHpjsRoiFXu8RCVYmVstrIHqSz05zsUITxJEnkRG6lYTxTBYSmJVo3PQ8eWTlZ3ZIigFaA2Hc53KDmnOhxIuzgHyUEqQkyFJPIiVuWGSKoMtsdP3HB9w8eW9nnr2NLJ6I5kP6G0DI19GlqxUhrUZhvdYOLWyFuSEJMlr5oiVu1kD0vxesV6ai5gFuf6+IhkwCIeSNMUq853KHlhtFtA9uhWIcTkSCIvUj5tENHlJIug52eiTYNTnOvj79UdjjErHsbnlN7LUqU0dDm4CwK45vg/L4T4l9J7xygRlUVUsZ5oy247M4t8d1J3RQyfa9KYqMp3KHlhbLKgTOEeIA1ihJgMSeRFqnq0Yt3bhW52WGPNKq62rGPpDcdw0TSX4Do5gOp2IOHiLJHpdSEmQxJ5kapywrhFULGebM1+LYZjS8djmy4DwQSNscp8h5IXClCbLZhl4s6WtyYhJkpeLUWq2s22ZvV6xXqiTWOkwNef70hyo7siRlUySNAqzT3Vxpbs8ab2ITIqF2KiJJEXqSonRMrjFesanT22tB9M7y/1T0h3JIZC0RwrvS5vACrznuNNS/OzjBCTJom8CJlFUrGemQVOeHjbmfbwE5mEwWACy3CYO1Sa29BguOjNr3ClQYwQEyKJvAhVuSEUyvOtWZNFeGzpeLTKFr01xCpKsl0rAH0uRB2cgwIenk8SInckkRehaifb5tPrFeuJVo0ZBf9QviPJre5ILNuuNRPKdyh5oQBjgwUVJu68aT+gUYiiI4m8CFUXQY9119SkmrNnjxdrW9axjLRrbY6W5jo5gNpuQ0bjHFKe71CEKHiSyItQtRv2fI/11FzQvmw3t2JtyzqWRFmGhD/DnBJt1wqgXFCbLHSjiVsnb1NC7Im8QopQlRPyfI/15Ehb1hLYP7473ZEhZsXDmG7pvkSNzRZosA+Vojch9mTcd4kzzjiDNWvWMDAwkIt4xF7ya5OILs9Oq3t4IJtozU6rm8l8R5If3ZHSbtcKoNIatd1Gzw/gygy7EGMaN5GvWbMGv9/P5ZdfztVXX80LL7yQi7jEFFUVQY91O6TJ1A+3ZXU8/GlkL/SG42g0c4ZKN5EDGBst8CmcgyWTCzGWcRN5ZWUlF1xwAbfeeiuGYXDNNddw9tln89RTT+UiPjFJ1W62Yt3LiXy0LWsJbTt7P8vnEC1PlWy71hFq0IU+B3dxgCJvtS/ElI27t+Ohhx7iV7/6FZFIhLPPPpvbb78d27Y555xzOPHEE3MRo5iEbMW6Q9zw7lFhiTaNSpdOW9ax9ERi7Ntbh98xsUzvFi7uLWNjBndpEL3ID/+08h2OEAVn3ETe1dXF6tWraWlpGb3M7/dzyy23zGhgYmqq3TAJlcFR3uwmMtqWta902rKOpSccY37PbJriVbRXlmjVH6A6HEi62B8sx5RELsQuxpxadxyHTCbD+vXraWxsJJPJkE6nueiiiwA45JBDchakmLgqJ0TS8G7FeqYOnMjw+niJtGUdS18ogYsu6W1oAEqD2pg9Fc2ZKw1ihHi/MV8Vv/jFL7jvvvvo6enh5JNPRmuNYRgcdthhuYxPTELA9RHSZXSrqGcr1kfasgZ68htHIXCGjzVtKPF1cgCj3cLZL4BzWBnmthLrECTEOMZM5Oeccw7nnHMOjz32GGeddVYuYxJTVO1mK9a93Jo10aoxh8Afy3ckhaEnEmdB92zKbT8pX+lOKys7e1a5nu/HrTUw+ry5dCTETBgzkT/66KOcffbZbN68me9+97s7Xfd//s//mfHAxOSN9lj3aGvWkbasZTtAlW7O2klvOMbC7nqa4lVsrCrtaQpjo4Uzz499eDmB3yfyHY4QBWPMRN7Y2AjAvHnzchaM2DtVbggbx7Nbz1JzQPuHjy316trANOsPJXCUy5yh6pJP5CqtUVtt9Dw/blhhxL1ZByLEdBuz2O2YY44B4KSTTmLZsmUcffTRbN++nSOOOCJnwYnJqXbCJIy0ZyvWR9qylpXw/vH3cw1NfyhBQ7wCj9YvTitjfQYMcA6TBjFCjBi3IcyVV17JG2+8wR133IHf7+frX/96LuISk6X/dViKq7z5jl/qbVnH0hOOUZkKErID+Q4l71RcQ6eDu38AV34dQgATSOSpVIrly5fT0dHBF77wBRyndBtTFLJy7adc+0l4dFrdKddkGoaPLS3Rtqxj6YnEAZgbL+1taCPMdRnwS9tWIUaMm8gty+LHP/4xixcvZt26dSSTMlwqRF5vzZoc7jfkL92+J2MaDCawDYemIUnkAGrAhX4H9wMBSvhwOCFGjfsy+MpXvkJXVxdf/OIXefHFF/nqV7+ai7jEJFUPH5aS8Ghr1mSrRlnZRjBiZ1plm8PUx2SdfITxbgaCBu5imV8XYtw2SUuXLmWfffYhFouxfPnyXMQkpqDKDWNhk/Lovq1ky/D6uDc/h8y4nkiMAzuaqLDKGAp4c3vhdFJdDgy5OIeWYf4jI3scREkbN5HffPPNPPvss9TX16O1RinFww8/nIvYxCRUOyESRgbbgxXrdkRj1UD4bWnLOpaecLZDztyhGv5Z15HnaPJPkR2Vu4eW4+7vlx7soqSNm8hfe+01/vCHP2AYshhVsHR261mfGUN7sGI9MXxsaamfdrYn0fIUGdNmTqxaEvkwtd2GRS724eUY/7RkVC5K1rjZua2tjXRapvIKWVAHCOAj6dHWrMlWjZGS9fE9UtAbjjM7VgHem3SZEQpQ72agysRd4M93OELkzbgj8h07dnD88cfT1pY9zUKm1gvPv1qzeq9iXaNJtmRH46bMju5RdyRGU7SK2kyYvvJ4vsMpCMY2G2eRi31EOcY6GZWL0jRuIl+9enUu4hB7YeSwlLgHR+RWTfbY0mC7rI+PZ2SdvDlaI4l8mNKg1mXQB5Xj7uPD3CQno4nSM+7Uus/n48477+RrX/sazz//PD09pd3vuRBVO2HSWKQN7w1pk8Pr4zKtPr5EWYaEP8OcWFW+QykoxhYb0i7OEdIgRpSmcRP51772Nc4880wsy+Kwww7j1ltvzUVcYhKqnTBJI4OD97ruJVs0RgJ8g/mOxBu6I0PUxSOYrsxejFAuqPUWut6H0zzuJKMQRWdCLVqXLVuGUop58+ZRVlaWi7jEROns1HpSZfDazLRW2fVxfz94cDIhL3oiMfyuSUNCRuXvZWy2IKNxPiSjclF6xk3kZWVlPPfcc7iuy9///ncCAemkVEgq3HJ8mCQ8uD6emQ1uuRxbOhk94TgazVxp17oT5YDakEE3+XCazHyHI0ROjZvIv/nNb7J27Vr6+/v50Y9+xM0335yDsMREjfRY92LF+sj+8YD0V58wy+cwWJ6kSdbJd2FsssDSOMtkVC5Ky7gLSpZl8dnPfpaGhgYaGhpyEZOYhJGtZ3Hlvd6myRaNGQVfLN+ReEtPJMa8ntmU2T7SPqnSHqHs4VH5ojKcRhOzw3s1I0JMxZiJfOvWrVx11VX4/X7q6urYvn07wWCQO++8k/r6+lzGKPZgZH08Y3jrDV2bmtRcKNuRfQMWE9cdibGgp5658Wo2VMkukvcyNlo48wI4y8ox/69s0ROlYcxEfvvtt3P99ddz2GGHjV72/PPPc8stt/C9730vJ8GJ8VU7YZIqjeOxdl+pRtD+bKGbrI9PTn8ogaNc5g7VSCJ/H2WD2mihFwZwGgzMTm+9LoSYijHXyPv6+nZK4gAf/vCHicVkHrRQGFpR6YZIqAxey4XJFkCDvzffkXiPa2j6QnE51nQMxsYM2BpnWTDfoQiRE2Mmcp9v94N115VPuIWi0g1hoEh6sNAtNVfji4Ivme9IvKm7IkZFupwKS7aDvp+yhkflzX6cBjnsSRS/MafWBwYG+NOf/rTTZVprBgelc0ehqBnpse6xrWfa0KSaZH18b3SPtmut5a1ZO/IcTeExNmRw9vXjHBnE/JWslYviNmYiX7x4MU888cQulx944IEzGpCYuGo3hItL3PBWxXq6QdbH99ZQeYr08LGmksh3pSxQmyz0fD/ObAOzW2YSRfEaM5HfdtttuYxDTEG20C2Drbz1JpWcm/0q/dX3gspuQ6uPV6Bc0DKDvAtjfQZnn+FR+a9lVC6Kl7z8PWwkkXuuYn2uxhwCn7y37pXuSIwy28fsVEW+QylIygLVbqFbfbg18lYnipf8dXuUX5tEdHm2o5uHZqe10iTngn9Q1sf3VndkCI2mdbAu36EULGO9BRps6cEuiti4ifyWW27hrbfeykUsYhKqnOwZ5F4rdMvMAl0GPlkf32tpv81AMElLtCbfoRQsldaorTZ6nh+3Qv7eRHEaN5Efd9xx3HfffZx77rn87Gc/k33kBaJmuMd60mOJXNbHp1dH5SBVqSCVaRlxjsVYl92eKeeVi2I1biL/yEc+wl133cW9997LK6+8wjHHHMP1119Pe3t7LuITY6h2wtg4xA1vJfJUs8aIg18+D06LjsooAPsOzspzJIVLJTRqh427MIAbklG5KD7jJvL169dzxx138OlPf5rKykoeeughzj//fK666qpcxCfGUO2ESagMjocq1jXvWR+X88enRbwsw1BZipZobb5DKWjGuxaYCucwGZWL4jNuIl+1ahXz58/nF7/4BTfddBMHHnggH/jABzjzzDP3eLtXX32VCy+8cJfL16xZwymnnMKFF17IhRdeyIYNG6YefanS2eNLU0YGV3mnR6dVA24I/AOyPj6dOiqi1MbDBK1AvkMpWCrmQoeNe0AAV35NosiMe4zpMcccwxlnnDH6/erVq7nmmmu44IILxrzND37wAx5//HGCwV17Hb/++ut8+9vfZsmSJVMMWZRrP+Xazw6PrY+nmrNfZX18enVUDbJfTz37ROt4q06aw4zFfDeD0xjCWVqO8WdvNVESYk/GTOSPPvoojz32GOvXr+fZZ58FwHEcbNvmmmuu2eOdtra2cvfdd/OVr3xll+veeOMNHnjgAbq7uznuuOO47LLL9vIplJ7q0UI3b/VYT87VGCnwRfMdSXEZLE+R9GdoG6yVRL4HatCFHht3SQD3pRSGd1alhNijMRP5ihUrWLZsGffffz+XX345AIZhUFc3/p7Vk046ia1bt+72ulNOOYXzzz+fSCTCl770Jf74xz9y/PHHTzH80lQ90mPdQ61ZNZpkM/gGwINnvBQ2lZ1eb+2vJeCYZEwn3xEVLGO9hfuhIO6BAYzX5Q9RFIcx18jffvttmpub+djHPsbGjRvZuHEj69ev5y9/+cuUH0xrzcUXX0xtbS2BQIBjjz2WN998c8r3V6pqnDAZbJKGdyrG7EpwKqS/+kzpqIxiaoPWIWkOsyeq24G4i/MBOTVOFI8xR+R//vOfOeigg3jyySd3ue7oo4+e0oPFYjFOPfVUnnzySUKhEC+99NK4RXNiV9VuiKSR9lRr1tTI/vGB/MZRrPrCcTKmTetgLeuqu/IdTsFSDB+msrgMp8nE3CGzF8L7xkzkn/nMZ8hkMnzjG9/Y6wf59a9/TSKRYOXKlVx99dVcdNFFBAIBli1bxrHHHrvX919SNFQ5YXrMKNpDFevJuRqVAZ+cgjsjtILOiiGaolUYrsI1vPO3kWvGFgtn/wDOoWWYTyTyHY4Qe23MRH7yySej1M5ToFprlFI8/fTT495xc3Mz//M//wPAaaedNnr56aefzumnnz7VeEtexC3Hj0nCY4VuqbnZ0bjprbA9paMySstADc2xWtore/MdTsFSNtm2ra1+3KDCSMqHHuFtYybyZ555JpdxiAkabc3qoY5uTlBj1ULoXVBa1sdnSndkCEe5tA1KIh+PscnCafPjfLBMtqIJzxszkd9yyy18/etfZ+XKlbuMzB9++OEZD0zsXrUTRqOJKe+8+aSasl9lfXxmuYamsyJK60At/iYDy+edGopcU0Mu9DnZBjEvppCVCOFlYybyK664AoDvfve7OQtGjK9m+AzyjOGdM0BTczQ4kshzYeOsXuZEq9m/v4l/zN6W73AKmrExg7s0iF7oh7e9swNEiPcbc/vZrFnZQxhc1+X222/n8ssvZ/Xq1RiGHGGeT9VuNpF7qmK9CXxD4KHVAM/qDyYYCCZY1NOIh/5E8kJ1OJCSrWjC+8bNyjfeeCNnnXUWP/vZzzj11FO58cYbcxGX2A1TG1S6wWxHN48sNWtDk27IdnMzHI8E7WUKNtT1EMmUse+QnIi2J0oPb0Vr8OHOkgGK8K5x/3pN0+TYY4+loqKC5cuX47ryMT9fqp0QCuWpo0vTs0H7ZVo9l3ZUDZL0WRzYPSffoRQ8o90GV2PLqFx42Jhr5H/6058ACAaD/OAHP+Dwww/ntddeG51yF7lX40YASHjosJSRQjefJPKc0Qo21fVwQGcTsxMRukNy+PtYVEZDj4Pe149LcvyRjRAFaMxE/sQTTwBQXV3Nhg0bRo8bDQTkDMB8qXZCODjEPdRjPT1HYyTAL7kkp9pr+1jY1cCS7rn8se3tfIdT0IxtNu4h5eg2H2z2ThGpECPGTOS33Xbbbi/v6pL2j/lS40SIqwyO8s7yRqopuz6upCg4pyzTZUtNH639tYQyARIB6cQzFtVhg6NxDghgSiIXHjTuTNJdd93FkUceydKlS1m8eDGf/exncxGXeD+drVhPGRlcj7RmtcMauxL8g3JQSj5sqOtFacWSHlkr3xPlgOoc7vRm5jsaISZv3ET+zDPP8Oyzz3Laaafx5JNP0tDQkIu4xPsEdYBy7ffW+vhw/pD18fxIlGXorBhiQV89PkdWf/dEbbMhoNDz/fkORYhJG/fVPXv2bAKBAPF4nLa2NixL5kjzYeQM8riXEnmTBjs7Ihf5sWFWNwHHx5Hb5+U7lIKmuhywNM7+UgMkvGfcRN7Y2Mhjjz1GMBhk9erVRKPRXMQl3mekx7qXCt1Sc8AfBdM7nz2KTl84wfpZ3Szoq+eAnsZ8h1OwlAa1w0bP8eFKLhceM24iv+WWWzjqqKP4yle+Qn19PatXr85FXOJ9qp0waSzSHmnN6pqadP1woZsr6+P59FZDB92RGIdv34eGWGW+wylYapsNPoW7SDK58JZxE/ng4CA/+clP+PKXv0xXV5eskedJjRMmYaRxcPIdyoSkGwBTzh8vCAr+X8tmkn6L4zcvIpSWRLU7qjfbstVdKL8f4S3jJvLrrruO1tZWrrrqKhoaGrjuuutyEZd4D6UVVW6IhMrglVNA0yMnnvXnNw6RZZkuf23ZjM81OGHzAZgyS7ILRXZUrhtM3KD8foR3jJvI0+k0559/Pvvvvz+f/vSnGRoaykVc4j0q3SAmBgkPtWZNNWnMOPgS+Y5EjIgF0/x97lZqk2FO3Hgg1clQvkMqOMZ2GwyFe4CMyoV3jJnIN27cyMaNG6mpqeG3v/0t3d3dPP300zQ3N+cyPkF2Wh0g6ZGKdY0mNSc7rS6NYApLR1WU15u2MysR4fR3PsjxmxZRIwn9XwZdiLu4C2UbmvCOMTu7ff3rXx/9989+9jN+/vOfo7VGKZlyyrUaN4yLJqa8UbFuV4IThvJ2aQRTiDbV9bK9coD5vbNp7aulbbCO9so+3py9nY5w1DMn682E0en1/fy4YYUR90bzJVHaxkzkDz744Oi/+/v72bJlC83NzdTW1uYkMPEv1U6YhEpjG95ozTrSCEb2jxeujN/hrcYO1s3qYkFPPa19tbRGaxkKpHintpN1tV0k/aU5nWJ02TgLA7gL/BivSmtbUfjGXSP/7W9/y7nnnst9993HypUr+dWvfpWLuMR71DhhkiqDg0cSeaNG2dLRzQssn8tbjR38YdFbvDZnG7bPZWlHG2e/eRhHbp2HR7oBT68BFzIadx+ZXhfeMOaIfMSaNWtYu3Yt4XCYWCzGxRdfzIoVK3IRmwAC2kdYl9NrDnlmyjPdlF0fN0tzQOdJjqlpr+2jvbaPilQZ83pns39vIwHX5LmWdz2zW2I6KEB12ehGH64BHpkIEyVs3BG5UopwOFtsFYlEKCsrm/GgxL9UO9lCJK/0WHdNTXq2NILxsqHyNK/O3co7szuZ1z+bo7fsByU2MledDvgVunXcsY4QeTfuX2lLSwu33347hx12GC+//DKtra25iEsMG+2x7pGtZ5l6so1gpJOv573T0IWBYkF3PVpp/tS8zjOzQntLddvgapx5fsxN3uimKErXuCPyW2+9lZaWFl544QVaWlr45je/mYu4xLBaJ4KFTVJ5o+gmNdIIRtbHi8I/6zuzBXF99Ry1bX7JjMyVDQy46BZfqTxl4WHjjsgvv/xyfvSjH+UiFrEbNW6EuJHGVt5YqEs1aYwE+OL5jkRMCwX/bOjE0AYLexvoDg3xbm1XvqPKCaPTxj2gDF1joPq98foTpWncEXllZSVPP/0069evH20SI3JD6eEe6yqN9kj5cLpxeH1cCt2Kh4I3G3cwVJbioK7m0hmVd2bPNXAWSPW6KGzjjsh7e3tZs2bN6PdKKX7yk5/MZExiWJUb8lRrVjussSshvEMawRQdBetmd3PI1hb2HZzFxuqefEc082IuJF10mx/+6o3XoChNe0zksViMBx54gGAwmKt4xHvUOBEA4h6pWE8NH3cthW7FaXvVAIs6G/hAVzMbq3qKvvBNAarTRrf4cf1gyCyTKFBjTq3/9Kc/5ZOf/CQrVqzgueeey2VMYlitE8HBJWZ4ozVrukmDI4VuxUorWDerm5pkiOZYTb7DyQnV5YCp0PNkel0UrjET+W9+8xt+97vf8fDDD/PjH/84lzGJYSPr47byxhnkqUbwDYFHVgLEFGyt6Sfts/hAZ2kcnqR6HHA0zr6SyEXhGjORBwIBAoEAtbW1WJbMKeWczo7IE0Ya1wOFblrp0UI3wynyOdcS5hqa9XU91McraIhX5DucGadcoNdBz/F5pM45XkoAACAASURBVEGyKEXjVq0DaF34iaTYhHQZZfg909EtUwfan23NKorb5to+LMPh4M6WfIeSE0anDSEDGs18hyLEbo1Z7LZu3TquueYatNaj/x6xevXqnARXympHCt08Mk892ghGEnnRc0yXjXU9LOxuoDYZpi9Y3E0DVKcDB4Ezz4/R4Y1lLlFaxkzk//Vf/zX673PPPTcnwYh/qXUiaA+dQZ5u0qh0do1cFL+Ndb3M75nNwV3N/LHt7XyHM6NUSkPcRc+VvuuiMI35l3nEEUfkMg7xPrXDR5dmDG/0eU41gj8qW3RKheVz2Frdz9yBGnyOgW0W9wqy6nHQc324PvDIS1KUkAmtkYvcq3EiJFTaE2eQO2Uaqy67Pq5K6bzLEtdRGcWnDVpitfkOZcapHht8Ct0so3JReCSRF6CA6yOiy7Md3TyQF9MN2a9S6FZaesNxbMOhbbAu36HMONWbXRt35VhTUYAkkRegWtdjHd2aAC2NYEqNa2i6IkM0RaswCn/iaK+oDBDNbkMTotBIIi9ANcNnkHumo1ujxhwC0xvhimnUURmlzPHRmKjOdygzTvU46BoTN5DvSITYmSTyAlTrREhjkfJA5ZhGk2rKVqsrKQIqOV0VQ7jo0phe7xlu19oio3JRWCSRF6Ca4Y5uDoW/Z9WqBjeY3T8uJ56VHtt06Q3HmRutLvrjTVWfA67GaZN2raKwSCIvMKY2qHJDxFUaLxSAp+Zkv0qhW+nqqBwkkimjLhXOdygzStn/f3t3Hh3XWR5+/HvvnX3RLlmyZFmO4y12HNtJIBCy4BAIWRpiYzuEmi5JIe3hnBZoaQ4tNIcshaQ5cIDCacrSnqRpCRAocH6HQlgcCCQkJrbjJN5jeZM02kazz5177/v7Y2QljhN5iUb3zszzOUfWMrL86Hqk577P+77PC6QcVJeMyIW3SCL3mCY7go5WNR3dil0KzZREXs+GGsrn1vbVQ3l92IZGHUdOdhYeIoncY5qrcMW6LwWG6XYkwi0Fv0UylKMnVQf7yUdt0DWUlNeFh0gi95gWO4aFTa4KVqw7AYXZNjk/Xg3zAKJiBhtSNOXDxMyg26FU1NQ8+TxJ5MI7JJF7TLMdJasXsTTvb8wtdAKalNVFubyuodX86nXNAcZtVJechCa8QxK5h2jHzyDXiqgqOINcGsGI49LBItlAkd46KK/rIzbEdZyYVKGEN0gi95AGJ4IPo6oWuhlpMPJuRyJcp8FgPEV7NkbAqu3RqjZigybz5MI7JJF7SKsdB6iKo0ulEYx4raGGFHo9HKKSdMBS2NJ3XXiEJHIPabPjWNhkdO8PcUst4ISkEYx4xXgkh6U5zE3XdrtWTQFjNmqOr9Z74IgqIYncQ1rtOBm9UB0L3brKr30yPy4mKQ3GI1k6svGa7/Kmj9oQ01GN8itUuE+ehR6hK628Yr1qFrpJIxhxspFYlngxRNSq7ZNF5FhT4SWSyD2i2Y5hoJOtgv3jUB6R+yfA8P65LmIWjUazAMzN1nZ5nYnyPLkjB6gID5BE7hFtxxe6VUEitwOKUmu5o5s0ghGvNhEuz5N31cs8eYfMkwv3SSL3iFY7TpESuSpozVqURjDiDSgNxqJZ2rOx+pknb5CbWeEuSeQe0WbHJzu6ef/o0sJcVW4EM+52JMKLRqP1NU8u+8mF2yqWyLdv387mzZtP+vgvfvEL1q9fz6ZNm3j00Ucr9c9XFb8yaHQiZPRCdRxd2kW5EYz3ZwGEC0ajGQDmZppdjqTCJufJ7R6ZJxfuqsgz8N///d/54Q9/SDh84ll/pVKJf/7nf+a73/0u4XCYD3zgA6xdu5a2trZKhFE1jjeCyVZJI5hiFwSGpRGMeH0T4TyWbtOVaWRv85Db4VSMpij3XZ/cT14F9+CiRlVkRN7b28uXv/zlkz6+f/9+ent7aWxsJBAIcOGFF/LMM89UIoSq0modX+hWBY1gWsEJlufHpRGMeD1Kg7FIrj7myUdknly4ryKJ/D3veQ8+38mD/UwmQzwen3o/Go2SyWQqEUJVabPj5LQiBd37e7mON4Lxy0I3MY3RaKa+5sl7ZZ5cuGdWF7vFYjGy2ezU+9ls9oTEXq9aJxO5hfc7uuW7FXpBVqyL6R3fT96droN5clthy35y4aJZTeQLFy6kv7+fZDKJaZo8++yzrF69ejZD8JywEyCqguX941VQnSt0l5N4FRQPhIuOz5N3ZhvdDqWiZD+58IJZuY380Y9+RC6XY9OmTdxxxx3ceuutKKVYv349c+bMmY0QPKvVjgHV0QimFFdYjRAdlEYwYnrH58mn+q7X8NNFH7VxlvpQcQ0tLelczL6KJfKenp6p7WU33HDD1MfXrl3L2rVrK/XPVp02uwEHRUbz/kK3Qk/5tewfF6djJJrhvKEuYqUgmYD3Gx2drRP2k+80XY5G1CNpCOOy8vx4AVP3fiOYfPfkQSly4pk4DVN91zO13a6V5OQ8uewnFy6RRO4mBa1WjKxexK6ChW6FbvAnwZBBhzgNqeP7yethnnzcRs0xZJ5cuEISuYviToggfjKa9xe6WVFFqaU8Gpf5cXE6pvaTZ+rgfPLj+8lj8rMhZp8kche1VtGJZ4Xu8mu/lNXFGRiNZoiZwfrYT65p0ndduEISuYva7AZsnKpI5PluhVaShW7izIxFcgB01fr55EnZTy7cI4ncRR1WA2k9XxUnnuV7ymV1mR8XZ2IinMfWHDozDW6HUlFT+8k7ZT+5mH2SyF3iUwbNToyMVsDRvP2jb4cUpbZyW1bNkTlAcfocXZEM52nL1X4HR314cp68SX6titklzziXtFsN6Gikq+CglKn5cSmri7MwFs3SkA8RtGu77KyNlCtrzgKZJxezSxK5SzrsBhSKCT3ndiinlO9RYEkiF2dnLJJFR2NOtrbL66QcMBWOzJOLWSaJ3CUdViMZrYCpe/9Q73x3uaxu1G5zLlFB45EcCkVXpsb3kwPaiIXqMJAZKDGbJJG7QFcabXacjF7A1rzdCMYOKMz2yfPH5beTOAuW4ZAKFWivg3lybcSGkA5zDLdDEXVEErkLWuwYPozqmB+fC+hSVhdvzlgkS3MuguHU9q8cbbg8T273SXldzJ7a/qnyqA67XGJMVUMi71FgQ2DM7UhENRuLZjGUTke+tufJtbyCnIPqkQVvYvZIIndBh9VATiuS170/6ZyfPH9c5sfFm3G8MUyt7yeH8qhctRk4Ul0Xs0QS+WxT0G43ktELWB4/KMUJKIpzJveP2zI/Ls5e0W+RDRRrf+U65QVv+DSUnIYmZokk8lnW4IQJKT9pLe/5g1Ly8wADAqNuRyJqwVgkS0suUvOLJqf2k8s8uZglkshn2fH58WpY6Jbrm+yvLvPjYgaMRXIEbB+txajboVSUVgImbJxumScXs0MS+SzrsBopUvL8QSkKRa6vnMQNb4cqqsRYNAtAZ43vJ4fJUXmTjhNyOxJRDySRz7IOq6E8P+7xg1JKLWA1lFery/njYiZkAyZFw6qPefJhG3QN1SujclF5kshnUdgJEFdh0noer+fG3Pzya/+Iu3GIGqKV58lbc1Fq/YgwbcwGR2HL+eRiFkgin0UdVnXNjxtp8KfdjkTUkrFolkgpQEOptmvOmgOM26guo9bvWYQHSCKfRR12Axa25xvBOD5Foac8P66V3I5G1JLj8+RdmSaXI6k8PWFDg4Fq9nj5TVQ9SeSzqMMq7x8veXx+PN8DylfedqZ5fY+cqCqpUIGSbtfHgrfB8oFI9qKAy5GIWieJfJb4lUGTE52cH/d2sS3fp9As2T8uZp6anCfvyMZqf548qyDjoM6ReXJRWZLIZ8kcqwkdzfNldaC87Wxctp2JyhiNZYmawZqfJwfQBixUi4ETlcqWqBxJ5LOky2rCwmZCy7odyrRKjYpS8+T8eI134BLuGIlmgDqZJx+0QNdwpLwuKkgS+SzptJpI63lM3dvz48e3nQVk25mokOPz5F11ME/OhAMFB2ehlNdF5UginwVhJ0CTEyVVBfPjuT6FkS2feCZERWjl1evt9TBPzmR5vcPAkUG5qBBJ5LOgyyqXECf0nMuRTE8Zivy8clldl21nooJGopnyPLkZdjuUitMGbTA01CIZlYvKkEQ+CzqtZkwsUh5P5Pm5oALgl21nosJGJ/eTz62D8ro2ZoOpsBfKkFxUhiTySlPlEXlKz3m+v3ruHAU2BGXbmaiwqXnybB0kcgXakIXq8uHIyaaiAiSRV1iDEyaigpPz425H88YUisyi8iI3w9uFA1ELNBiNZmjPxGt+nhwmm8P4NdQCKa+LmSeJvMK6rGbA+/PjxS6w4xAYlm1nYnaMTvZdb6yHefJhG2yFfa4kcjHzJJFXWKfVRF4zyXi8u0pmcbmsHki4HYmoFyPH+66n66C87gAJG9Xjw3E7GFFzJJFXkKbKiTyl57Hw7vy4QpFZXC6r+73dr0bUkHSogGlYzM3WfmMYmGwOE9RRvTJRLmaWJPIKarHjBPCVV6t7uFpdmAt2DIIJKauLWTTZd72tDvaTQ3nBG47CXiar18XMkkReQcf3jyc9Pj+eXazAAr+U1cUsG4mV58mb6mGe3ALtmIVa4McJyQ2zmDmSyCuoy2omoxXI60W3Q3lDSptcrT4Kfm/fb4gaNDo1T14n5fUDJfBp2BcE3Q5F1BBJ5BViKJ12u4GUnsf28PIWKasLN6WD5XnyethPDqClHBizcZYHkB83MVMkkVdIh9WAge75+fHM4smzx6WsLtyglUflHZk4Hr7fnVH6ARMiOmqJbEUTM0MSeYV0Ws04KJK6d5eBK02RXQT+EfBJWV24JBFPE7L8dBQa3A5lVmhDNuQdKa+LGSOJvEK6rWZSeo6ih08fKcwFOwpBaQIjXDQUT6NQzJ9ocTuUWaEp0A6WUO0+7E75FSzePHkWVUDECdLsxJjQczgePrb0eFk9KGV14SLTZ5EM5+mukwVvAPqhUrnT25qQ26GIGiCJvAK6S+WRRTWU1aW3uvCCoXiKpnyEuFkf5WatBNoRCzXfjxORaph4cySRV0C31UxeM0nrebdDeUO5BeWyemBIyurCfUPxNAC9E60uRzJ79JdNMDTs1fVx8yIqRxL5DNOVRpfVzISeo+ThY0tT5yv0PASH3I5EiHK71rzfZF662e1QZo2WUTBi4ZwXwAnIzbQ4e5LIZ9gcqxEfRrms7tGfTSumyPVBcBAM7xYNRD3RYCiWpj0Tx2fXz68l4yUTAhrWuyP10KVWVEj9/MTMkm6rBRvH0/PjqeWADsGjoHn1bkPUnaGGFIbS6cnUx+p1AG3CQdtjovr82MulB7s4O5LIZ1i31cKEh7edKU2RWqHwD0Mg6XY0QrxiNJrF0hzmp+onkQPoe0swbmO/I4zTKL+SxZmTZ80MitshGpyIp7ed5eaD3VAuq+u2jMaFdzi6YiSWoTPVWDdd3qA8A2dsLYAGpfdGUfJbWZwhecrMoG7L+9vO0isUegFCA25HIsTJhhpShOuoy9txWkGhbS9Cm4H1dtlbLs6MJPIZ1G21kNWKZDy6gsyKKLLnyCI34V311uXt1YwBC+1oCeeCIPYi6cMuTp8k8hniUzpzrCYm9CyWR+uC6eWAAcFjsshNeFM9dnl7NX1HEdIO1nuimNdGUVH5ORWnJol8hnRaTRjoJD162plicpHbKATG3Y5GiDdWb13eXk2zwfh1Hm2fiZrvw/xgA9aKgGxNE9OSRD5Duq0WLGySesbtUF5Xfh5YTZOL3CwP3mkIMWmoIQXAgmS7y5G4Q1Ng7DLRn8ihZR3sKyOUPhintDaMtTqI3efDadJRASTBCwB8bgdQE1S5v/qEnsPUvdnNLXWBQivKIjfhfelQkWQoz6KxDna0Hanb4YaeVagn8zjzfageP2phAIKvuQlXCkqAqdAyDnp/Cf1ACW3U8WJhUFSIJPIZ0OxEiaoQg8YEyoPbzkqNiuxCCPfLASmiOvS3jnLB0R66s80cjdfvXJAGGP0W9FsoDVQIiBuouA5+DQzAp4FPQ0U07LeEsN8ahrSDfqCEb3sRLeXNNTti5lQkkTuOw5133snu3bsJBALcfffdzJ8/f+rxu+++mz/84Q9Eo1EAvvrVrxKPxysRyqyYV2pDoRgzvFlWn1hVvrkIHQFNyX268L6jjUnOG+hi2WhnXSfyV9MUaHkgb0Pi9St/TlhDdftQbQbOigDmsgC+n2UxXrZmN1gxqyqSyB9//HFM0+Tb3/4227Zt43Of+xxf+9rXph5/4YUX+PrXv05LS21sMekttZLSc+T1otuhnMQOKFIrynPj0slNVAtHVxxuGqdvrJWIGSAXMN0OqSroeQX7SrCvhBPVcC4KY10Xw9lawPdUAQ8WDMUMqMjs09atW7nssssAWLVqFTt37px6zHEc+vv7+cxnPsPNN9/Md7/73UqEMGtidohmJ8a4nsXWvFfCSq8AFYDwETmuVFSX/tZRdDSWjXa5HUpV0rMK49e58t70C0OU3hdFheR3QC2qSCLPZDLEYrGp9w3DwLLKpZ1cLscf//Efc//99/P1r3+dRx55hF27dlUijFnRa7UBMO7B1epKU0ysmtxyNux2NEKcmWzQZCSa4dzxdjx4j1wVNAeM54poOwuoLh/mzXGcsCTzWlORRB6LxchmX2lT6jgOPl+5ih8Oh/nQhz5EOBwmFotxySWXVHUin1dqJa3lyRgFt0M5SfZcsBrLp5zJljNRjfpbRgmXAvSl29wOpaoZBy303+UhrGFdF0WWytSWiiTyNWvW8MQTTwCwbds2Fi9ePPXYwYMH+cAHPoBt25RKJf7whz+wfPnySoRRcWEnQIfdSNLIYXlwyDCxRmFkIHTM7UiEODuDDSkKvhJLRjrdDqXq6eMO2s4iqtOHdZn0c68lFVnsdvXVV/Pkk09y8803o5Ti3nvv5Vvf+ha9vb1cddVV3HjjjWzcuBG/38+NN97IokWLKhFGxfWUWgEY09MuR3KyQqeiMBcie8Dw3ho8IU6L0uBQ8xiLhjtoLIaZCMohAW+GcdjCbinhrAxhD9gYe7153LI4MxVJ5Lqu89nPfvaEjy1cuHDq7dtuu43bbrutEv/0rOq1WslpRVK69365TKxRaCaEDktfdVHdDrWMce5wB8tGuniq+4Db4VQ9/fkidoOOtTaCNpxGT3qvmijOTJ32THrz/Mqg02oiqWexNG91cys1KDKLyl3c/N49UVWI01LwWwzFU5w71k6sWH/912ea5oDxbHlNT+mGKEraglU9SeRnqafUio7OmJH13CEpE2smG8AckgYwoja82FXuLXzFocXSYHwGaHmFvrUADTrWlRG3wxFvkiTyszSv1EpRK3nukBQ7NNkAZkAawIjakQ+UeKHzGO25OCuHe9wOpyboIzbawRLOEj92l+F2OOJNkER+Fgyl0221MK5nKXmsrD6xSqH8ED4kDWBEbTncnGQwnmLVYA8tuajb4dQEfbcJpsJ6Z0S2pFUxSeRnoctqxodRbgLjoSe/41NMrILAEARG3Y5GiBmmwY7uI5R0hysOL0aXG9U3TbNAe8GEFgN7law/qFaSyM9Cb6mNEpbnurmlVoATLq9U1235JSdqj+mz2d59hMZCmIsG+twOpyboxywYtbDfEsKJyO+NaiSJ/AwZSqe31MqYkcXUvXOikNIVExcq/GMQSrgdjRCVk2hIc6h5jGUjnaxIdMvI/E3SAOP5IhhgXRF2OxxxFmTjwRnqKbXgx8eYnvbUnFJmMVgNEN8OeslDgQlRAS90DhAu+bloYD5LRufwbGc//U2j0051aQoai2HCpQBQPovAQeHoirFQFkev3+XwWkahvVxCLQxgzytiHPbW2h8xPUnkZ2hBqYOiVvLU2eMKRfIihS9VXq0uRK2zDYen+w4yJx1n6WAn7zy0hOGRNC+1DaAAQ2loSsPnGDQVwrTkozQXovjU6xch8z6TXa2D7G4douCvz25n+h4Tu9uHdWUE/eG0HHlaRSSRn4GA8jHXaiFhTGBq3imr5/rAbIfYC+Arymhc1I+heJqhWJr5460sTnRw+aHFJ32OaVikQ0WONI+TDhXIB0qTSUpDU+B3DOYmm1g91MvKRA8Hm0bY2X6M8XBu1r8fN2k26DuLOBeFsdcE8W2V3s7VQhL5GegttWGgM2KkPbVaPXmxQs9B6KjbkQjhAq18StrhxjEai+FyyXzyxdYUps/C0RRqmiHm4aZx4oUgC0bbmD/RyoJkG7/tPsC+1vpacKIN2uWFbxeG0F8w0QsyLK8GstjtDPSZ7eS0IhO6d/qe5ucqCj0QPgyG91q+CzFrHEMxHsmRDOdJhQpkgkXyARNbd6ZN4selQ0V2dB/lF4t2Mx7J844j53LhQG9ddZLTAGOnCX6w3y4npFULSeSnKewE6LSbGNMznmoCk7xYoRfkcBQhZorpt3mq7wCHm8Y5P9HDlf1LMOpoZbyWdtAOWzhLAzgtkiKqgfwvnaa+UjsaGiNGyjNl9WKbIndOuaTu806RQIiqpzTY3n2E3R1D9E208t795xO06mcmUt9lggPWFdKHvRpIIj9NfaUO0lqetIfq18mLFVpp8nAUr9xdCFErNNjbkWBrzyGa8xHec2A5Prs+fmVqpkLba6K6fdgL/G6HI06hPp6Vb1LcDtNmxxkzMliaN87uLTUqMovLo3F/2u1ohKhdA00T/KHnMM35CFcdXFY3DWj0l0uQc7AuC3mqZ4Y4mSTy07Cg1I5CMWp4J2OOX6xAQbhfjioVotKGGlM8P/cYXZlGLj9cH0epag7oLxahwcBeI33YvUwS+amocll9Qs+R0QtuRwOAFVWkz4PQMfCn3I5GiPpwqGWsPGeebOWtxxa4Hc6smNqOdlEIJyoDBq+SRH4KbXacRifCmJ7B9khZPblGgTY5Gq+TMp8QXrC3PcHBllGWjXSxcqj2z0XXAGPHZB/2tbLwzaskkZ/CIrMLC5uEMeF2KADYIUVqJQQHITDudjRC1BkNdnYd41jDBGsGe1k8OsftiCpOy04ufJvvx15YPyv3q4kk8mn4lUFfqZ1RI01BN90OByiPxpVfRuNCuEaD53oOMxLN8LYj5zA/2ep2RBWn7y9BxsG6IoIjudxzJJFPY4HZgQ+DhDHhiVWbdlAxsWpyND7qdjRC1C+lK56Zf5BkOM/lhxYxN9XodkgVpTlg7ChARMe+VI469RpJ5G9EwWKzi7SWJ2l44/CEidWgghA+BLrtgTsLIeqYrSt+P/8guYDJ2v6ltGdjbodUUdqYg3a4hLM8gN0uqcNL5H/jDbTZcZqdGMNGCssDLVntgGJitSIwBIFht6MRQgCUfDZP9b2Madhc/fJ5tORqe0GY/mIRLLDeFfVElVKUSSJ/A15b5JZaBU4IIv0yGhfCS4p+i6f6XsbRFNfuO7+m58y1EmjPF6HVwLpCSuxeIYn8dXhtkZvjVyTXKAIJGY0L4UW5oMmvz9lHJlTknf1LWF3Dp6YZAxZav4mzIoi1VNq3eoEk8tdxjjnHU4vcJi4AJwyhftAtDwQkhDhJMWDx2wUHONI0zgWJHq46uLRme7PrO01I2tjvjMh8uQfI/8BrKVhkdpLyyCI3x6dIXqgIDEMo4XY0QojpOLpiW/cRXuwcoDvVzI17VrFwtL3m+rNrCoxnCmAprOtiOMHa+v6qjSTy1zi+yG3EI4vcUheAE5HRuBBVQ4MDbSP8fv5B0OCyI4tYv2sN5yW6amqErhUV+jMFiGhY18niNzfJ1v7XWGLO9cwiNzugGL9Y4R+G0JDb0QghzsRIPMOW2F7mpBtYONLOWwYWcEFiHkfiYySiaRLRNMlQrqoToJ50UC8UUeeHsK4K4/t5Hq1G1wZ4mSTyV4k5IfpKHQwa455Y5Ja8SOGEIb5DRuNCVCUNhhpSDDWkaM1GWDDaTk+6hYXJDgBKus1IJM1IOMtoJMNoOEs6UCg3Oa8Ser+FEzVxlgYpRXX8/y+LVnI7qvoiifxVziv2oFAc8427fpdsRRUTayA4AEFZqS5E1RuN5hiN9qM5EC0Fac1GacpHaMyHmTPSgK7KZXdTtzgWn+DlphGONIxj6944rOmNaIDxoomdd1DnBTE3xAn8MIOWkaH5bJFEPinsBDjX7GTYSHniuNLxSxRKh8gB2TcuRC1ROmSCRTLBIv2MgQLd0WkshGkqhGjMh+lKN9I30UpJtzncMM7+5gRH40lPj9SNly2crMJZE8LcFMf3wyzGsPvrjOqBJPJJy4rdaGgMGOMolyd5zGZFagWEjkBgzNVQhBCVpoFjOIxHs4xHs+UPOdCebWDuRCM96SbOSbYxHEmztaufwVjK5YDfmJ6w4bd5nLeEsN4fw3nBxLe1gJaV0XklSSIHAo6PxeZcRvQUKQ9sORu7VKHZ5dG4nHAmRP1ROiTiKRLxFLoDveOtnDvczjX7V3AslmRrVz+jkazbYb4uPeXAr/Oo5QGcFQHM5QH0l0x8zxak3F4hksiBpWY3fgwGfEkcl0fjhU5FdhFE9oPfuzfeQohZ4uhwsHWUQ01jnDPWxjkjbdyw9wL2Nw/z+7kvU/RZbod4Er2o4A9FnKiJWhzAOS+AuSyAdsRCP2qhD1hoQzaat6f/q0bdJ3KfMlhanMuInmbCcPcOV6EYfYdCL0D4IGhur7gTQniGYyj2tQ9zsHmUxcNzWDDaRneqiae7D/By06gn58/1rILniji7TdSiAKrNwJ7vxwawFNqIjZZy0DLlF9IKLT35dkF58VvypLpP5IvNLoL42esbwHb59jCzBArzILoLfBlXQxFCeJTlc3ixa6DcCvZoD1ccWsK54+P8tmc/2YD722Zfj55TsL2IAlQYaPehmgxUXEf1+CCkgf6atF1SkHbQJhz0IQt9wEZLWLK17XXUdSI3lM55xR7G9QxjhruZ0w4pRq5U+McmR+NyLyqEmEYqXODXC/excLSdxUMd3LR7NX/oPMRLbQOub599WxFMOQAAFXVJREFUIxqg5YFDVvkFUFp5TQBhDSJ6+XVIR4W08kuHgb1gchTvKLRRG+2ghe8lEy0ltXmo80R+frGXsApwwD/k+mh89HKFEyo3f/EVPfpTKITwFg32tw0zEE+y8lgPbzm2gHPG23ly3j7Gw+4v3D0dmgLNBjIKMidvV1OACgGtk6P4Jh11URDz4hDa0RLGCyb6/hIe6KjtmrpN5A12mPOKPSSMCUaNtKux5HoV6eUQfhlC0vxFCHGGcsEST/W9TM9EE+cNdHHDngt4of0Y2zoPe76hzKlogFYAjlrlF8CJaqj5flSXD+vdUSg4GFuLGDuKdZnQ6zORK3hL4VwcHA77RlwdjTs+xfBVCiMN0X2y3UwIcZY0ONKUZCiaZsXgXM4f7uacZBtbO/s50DziycVwZ0vPKnjRxHnRhE4DZ0EA+9Iw9gVBjN/mMfaUaunbPaXaOYrnDMwvtdFlNXPEN0Zaz7say/jbFFYTRPeAB7awCyGqXMlv89y8w/yu7wC2obj88GJu2LuSjkzc7dBmnA7ogza+3+XRn8mDUtjvjlK6OY4z13A7vFlTd4ncpwwuKiwkreU55htzdVFIsV2RXFPu4BYakAVuQoiZMxrL8sTCvWzvPkK0FOTa/eez9uWltOSibodWEfqQjbElj7ajgIpplNbFKV0ZRvndjqzy6q60vrLQS0QFeSFwGFN3r5GCHVIMXq/QixDZK/3UhRAVoMHh5nGONiRZNNJB32grvakWjsbH2d5xhETM3fVBM00DjEMWzlELtTyIszyA2efH9/McxmHvNc6ZKXU1Im+yIywzexgykowY7rVNU7pi6DqFFYfYTungJoSoLMdQ7J4zxC8W72JvR4L2XJxr95/PtftW0DPRXHNniOs2GDuK6L/LgwbWjTFK7wqjArU5YKqbEblP6VyaW4qFzSHfiKutWEcuV+R7IfoChAelpC6EmB0ln8PujiH2tiZYMNbGgtFW3nVwGelAgZdaB9jXmsA0amfZtz7moG3J4SwL4CwOYM7z4/tZDuNIbY3O6yORK7g0t5RmJ8pu/zFXjylNna9IrS43fYkelFXqQojZ5xiK/e3DHGgdZm6qib7RVt4ysIA1g73sbx5mV9tg1exDPxXNAeMFE+eYhbM6hPW+GM7OIr7f5NFqJJ/XRSJfVeyj12rjoC/BkM+9M33z3YrhdyoCiXIbVt2SJC6EcI/S4WhTkqNNSZpzYfrG2jh3vIMlY50kIml2tQ3Q3ziKrVd/7V0fd+BXOdSKIM6KIOY8X3l0Plj9FYiaT+R9ZjvnF3sZNJIcdrGkXpijGLxBYeQg9oJ0bxNCeMt4JM945DCBOT7mJ1voGW/m8kOLKRol9jYn2N02RDroXjVzJugOsKOIM2DhXBDEWj95ZvqT+aru4V7TibzNivP2/BKSepYDvkEslzocZRYqEu8tr1BveB4CKUniQghvMv0We9sT7G1N0JGNM3+shfNG5rJipJuB2AS7Wgc53DCGU8WjdH3Yhl9Ojs6XBzAX+PH9KofxcnXW2ms2kTfbUa7InUdRK7HXP0DRmP3/IIViYjWMXqHwj5f7qPsnZj0MIYQ4czok4mkS8TQh08/88RZ6kk28s38JBV95lL63ZYhUqDpH6boNbC/iHCrhXBDCui6G/XIJ/6/zVXcYS00m8gVmB5fkF2FpNnv8A64sblNa+TSz1CoIDpTL6f6sjMSFENWnECixe84Qu9uH6Mw0Mm+8meXD5TawiUiKPa1DHGwcxTKqKwFCee5c25LDWRxAnePH/OM4+gsmvt8X0PLVUXWoqUSuKY0LC+ewzOwmqWfZ5x8st2Cd5fxZ6FKMXKEodpUPQonuljlxIUQN0GGwYYLBhglCpp/eZDPdySbecXgRlxw5h0ONYxxoHuFoPImqos3pmgJjt4nTX0ItDZTL7UsD6NuK+J4roHnzmPcpNZPIw06Ay3JLmWM3ccwY46AvMevl9FJcMfYORWYp6PnyKDxyUFanCyFqTyFQYk9Hgj1tCdpyMbonmuhJNXNOsp2iUeJg4yj9jWMMxiaqZj5dLyjYVsTZZ6KWBXEuDmGuCqLvMTF2muW5dQ+q+kQec0IsK3ZzrtmJhsY+/yDHfGOzeqKZ2aRIryjPhysgfAAiL4MvI81ehBA1ToeRWIaRWAa9U6Mz00DXRBMLJ7exlXSbY/EkhxrGOBZPkvd7f3m4nlHwTAGnSUctDOAsDeAsD6IlLIznTfSXS2gF79ycVGciV9DsRDmv2ENfqQNQDBspBowkSSMzKwehWDFFZglkliiKc8ofCx6DyH4IjJfL/EIIUU8cQ3GscYJjjRMYtk5HJk5HJs6cdAPzJ1oBSAUKDEYnSMRSDEXTpAMFzx6xqicd2FrA8YNa4Ed1+7GuioBSaAkb/WAJvd9CG7ZdbXNbkUTuOA533nknu3fvJhAIcPfddzN//vypxx999FH+53/+B5/Px1/+5V/yzne+c/ovqKDBCTPHamKO3cgcq5GICmJhM2iMM+BLktHzFdkjrlA4QTDboNgBxTmKYgeUys9JfMnyEaSBofKKdDn8RAghwDYcBhonGGicAAeaCxHasjGasxH6Uq0sHi+PgEq6TTKYZzycZTyUIxXMkw0UyfiLnlk8p5eAPSWcPSVo02GOD6fVwH5LCPutGpQU2qiNNmyjj9jlt9MO5NSsJPiKJPLHH38c0zT59re/zbZt2/jc5z7H1772NQCGh4d56KGH+N73vkexWOSWW27h0ksvJRAInPR1LmpYQsjxE1IBjMlbNhObI/oEWb3IhJ4jr5tTd3MnDIK1V14rbfJ9rdzJSOmAMfm2QfluKwBOQOH4wQmBFQU7Vn6tXhWani+XzCP7IDgE/qTMgQshxLR0GI/kGI/koL3cNrWhGKYlFyVWDBIvBOmbaGXx2JwT/lrRsMj5ixQMC9NnUTTKLyXDxtYcbN3B0h1szcHRFI7moDTKrykPxNB45W14JV+86s8zkgX6y2/aYSh2Q6lZo9Tgw1riwzr/VZ/rKPQsGBkwcqAVy/1E9CJoJmgWaPbki3X2Gb8iiXzr1q1cdtllAKxatYqdO3dOPbZjxw5Wr15NIBAgEAjQ29vLrl27WLly5Ulf58kPDVUivDfmlC+sXgLDBKOo4U+DXtIwCuUE7str6CXtlf9//+SLEEKI05aKmqRaXlkOrimNsOkjYgYImwFCRR8h00ew5CNg+4iaQQKWgd8yMJSHDu58/pU3FYpMQ4nxjgLZhhLZ+ORLQ4lCzMJstTFDNmbQmdHphIok8kwmQywWm3rfMAwsy8Ln85HJZIjH41OPRaNRMpnM636d6O/sV+6iXo963TdP/IB65W1t8m3NUeWkbSuwAat8d6TbgDP5Odbk269iT74IIYSYeTlg9Pg7GhCcfKF85raOjoaGrjQMZeBXOj6loysdXWnoiqnHtckvMlWcfc26JW3qjwpITr4A0ckX8KF0H0orH2Xt+EH5wTYUygDlV3DZ2f1zFUnksViMbDY79b7jOPh8vtd9LJvNnpDYX83aWluH3gshhBAzrSL1iTVr1vDEE08AsG3bNhYvXjz12MqVK9m6dSvFYpF0Os3+/ftPeFwIIYQQp68iI/Krr76aJ598kptvvhmlFPfeey/f+ta36O3t5aqrrmLz5s3ccsstKKX42Mc+RjAYrEQYQgghRM3TlFLe2dX+Klu3buUdmz7hdhhCCCHErPjNtx/gwgsvPOO/56Glf0IIIYQ4U5LIhRBCiComiVwIIYSoYpLIhRBCiComiVwIIYSoYpLIhRBCiComiVwIIYSoYpLIhRBCiComiVwIIYSoYpLIhRBCiComiVwIIYSoYpLIhRBCiComiVwIIYSoYpLIhRBCiCpWkfPIZ8pvvv2A2yEIIYQQnubZ88iFEEIIcWpSWhdCCCGqmCRyIYQQoopJIhdCCCGqmKuJ3HEcPvOZz7Bp0yY2b95Mf3//CY8/+uijrFu3jo0bN/LLX/7SpSir26mu8X/8x3+wYcMGNmzYwFe+8hWXoqx+p7rOxz/ntttu47//+79diLD6neoab9myhY0bN7JhwwbuvPNOZPnPmTvVNf7mN7/JunXrWL9+PT/72c9cirI2bN++nc2bN5/08V/84hesX7+eTZs28eijj57eF1Mu+r//+z/193//90oppZ577jl1++23Tz2WSCTU9ddfr4rFokqlUlNvizMz3TU+dOiQuummm5RlWcpxHLVp0yb10ksvuRVqVZvuOh/3wAMPqA0bNqhHHnlktsOrCdNd43Q6ra677jo1OjqqlFLqwQcfnHpbnL7prvHExIS64oorVLFYVMlkUl155ZVuhVn1HnzwQXX99derDRs2nPBx0zTVu971LpVMJlWxWFTr1q1Tw8PDp/x6ro7It27dymWXXQbAqlWr2Llz59RjO3bsYPXq1QQCAeLxOL29vezatcutUKvWdNe4s7OTr3/96xiGgaZpWJZFMBh0K9SqNt11BvjJT36CpmlTnyPO3HTX+LnnnmPx4sV8/vOf55ZbbqGtrY2Wlha3Qq1a013jcDjM3Llzyefz5PN5NE1zK8yq19vby5e//OWTPr5//356e3tpbGwkEAhw4YUX8swzz5zy67m6jzyTyRCLxabeNwwDy7Lw+XxkMhni8fjUY9FolEwm40aYVW26a+z3+2lpaUEpxX333cd5553HggULXIy2ek13nffs2cOPf/xjvvSlL/Gv//qvLkZZ3aa7xuPj4zz99NP84Ac/IBKJ8MEPfpBVq1bJ8/kMTXeNAbq6urjuuuuwbZuPfOQjboVZ9d7znvdw5MiRkz5+tnnP1UQei8XIZrNT7zuOM/WEee1j2Wz2hG9QnJ7prjFAsVjkU5/6FNFolH/6p39yI8SaMN11/sEPfsDQ0BB/8id/wtGjR/H7/XR3d3P55Ze7FW5Vmu4aNzU1cf7559Pe3g7ARRddxEsvvSSJ/AxNd42feOIJEokEP//5zwG49dZbWbNmDStXrnQl1lp0tnnP1dL6mjVreOKJJwDYtm0bixcvnnps5cqVbN26lWKxSDqdZv/+/Sc8Lk7PdNdYKcVf/dVfsWTJEj772c9iGIZbYVa96a7zJz/5Sb7zne/w0EMPcdNNN/Gnf/qnksTPwnTXePny5ezZs4exsTEsy2L79u2ce+65boVataa7xo2NjYRCIQKBAMFgkHg8TiqVcivUmrRw4UL6+/tJJpOYpsmzzz7L6tWrT/n3XB2RX3311Tz55JPcfPPNKKW49957+da3vkVvby9XXXUVmzdv5pZbbkEpxcc+9jGZvz0L011jx3H4/e9/j2ma/PrXvwbg4x//+Gk9ccSJTvVcFm/eqa7xJz7xCW677TYArrnmGrnxPwunusa//e1v2bhxI7qus2bNGi699FK3Q64JP/rRj8jlcmzatIk77riDW2+9FaUU69evZ86cOaf8+9KiVQghhKhi0hBGCCGEqGKSyIUQQogqJolcCCGEqGKSyIUQQogqJolcCCGEqGKSyIWYBU8//TRve9vb2Lx5M5s3b2bjxo089NBDp/33N2/ezP79+0/rc++4446pvcDHDQ8Pc+eddwKwdu1aisUiDz74IDt27KBYLPKd73zntGN5Pffffz833HADTz/99NTHHnvsMa688sqp73nz5s3cddddb+rfOW737t2n1bpSiHrg6j5yIerJJZdcwhe+8AUATNPkmmuu4cYbb6ShoaHi/3Z7e/tUIj/uwx/+MABHjhzhO9/5Dhs2bDjrr/+Tn/yE//3f/z2hvSfA9ddfz9/+7d+e9dd9Iz/96U9pa2vj4osvnvGvLUS1kUQuhAsymQy6rmMYBps3b6alpYWJiQkefPBBPvWpT3HkyBFs2+bP/uzPuPbaawH40pe+xPj4OIFAgPvuu4/GxkY+85nPMDg4SCKRYO3atXzsYx8D4JFHHuEb3/gGtm1zzz33YBgGH//4x084FvGOO+7g2muv5ac//Sn79u3jK1/5Cr/5zW+46667WLRoEVu2bOGXv/zlCTcAL774InfddReGYRAMBrnrrrt47LHHSCQSfOQjH+Eb3/gGoVBo2u99165d3HPPPVMViY985CP89V//NZlMhi984QsYhsG8efP47Gc/y49+9CO2bNlCoVDg0KFD/MVf/AWXXnop3//+9/H7/SxfvlxahIq6J4lciFny1FNPsXnzZjRNw+/38+lPf5poNAqUR65XX301Dz/8MC0tLfzLv/wLmUyGdevWcckllwDw7ne/m+uuu47/+q//4t/+7d/YvHkzq1atYsOGDRSLRS6//PKpRL5mzRo+/OEPs2XLFu6//37uuOOON4zr9ttvZ8+ePXz0ox+lq6uL73//+3zyk5/ke9/73kkHY/zjP/4j99xzD8uWLePxxx/nc5/7HF/60pd47LHH+OY3v3lS98Uf//jHbN++fer99evX8773vQ/TNKf6zo+Pj7Ns2TKuueYaHnnkEVpbW/niF7/I97///akDlL7xjW9w8OBBbr/9dtatW8dNN91EW1ubJHEhkEQuxKx5dWn9tY4f7rF//37e/va3A+UDFBYuXMjhw4eB8kEgUE7SW7Zsoampieeff56nnnqKWCyGaZpTX+/4565evZr77rvvtGN873vfy7p167j11lsZGhpi+fLlJzyeSCRYtmwZABdffDEPPPDAtF/vjUrr73//+/nBD35AIBBg3bp1jI2NkUgk+Ju/+RsACoUCb3/725k/fz5Lly4Fyidvvfp7FEKUyWI3ITzg+NnOCxcu5NlnnwXK5fc9e/bQ09MDwPPPPw/As88+y6JFi3jssceIx+M88MAD/Pmf/zmFQoHjHZd37NhxwudOR9d1HMcBIBKJ8Na3vpV77rmHP/qjPzrpczs6Oti1axcAzzzzDH19fWf1/V577bX86le/4vHHH+f666+nubmZzs5OvvrVr/LQQw9x++23T1UiXu/ca03TpmIWot7JiFwID9m4cSOf/vSn+cAHPkCxWOSjH/0ora2tADz++OP853/+J9FolM9//vMkEgk+8YlPsG3bNgKBAPPnzyeRSACwfft2PvShD6FpGvfeey/THanQ2tpKqVTi/vvv5+/+7u/YuHEjt9xyy0mL4wDuvvtu7rrrLpRSGIbBvffeO+3389rSeiwW42tf+xrRaJSlS5diWdbUArl/+Id/4MMf/jBKKaLRKPfddx8DAwOv+3VXrFjBfffdx8KFC6cSvhD1Sg5NEUKcYMeOHTz88MNnVJIXQrhHRuRCiCkPP/ww3/3ud/niF7/odihCiNMkI3IhhBCiisliNyGEEKKKSSIXQgghqpgkciGEEKKKSSIXQgghqpgkciGEEKKK/X+S3nn2kYmFqwAAAABJRU5ErkJggg==", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from scipy.stats import gaussian_kde\n", "\n", "fig = plt.figure(figsize=(8, 8))\n", "axes = fig.add_subplot(1, 1, 1, facecolor=dr_dark_blue)\n", "xs = np.linspace(0, 1, 100)\n", "\n", "density_neg = gaussian_kde(roc.negative_class_predictions, bw_method=0.2)\n", "plt.plot(xs, density_neg(xs), color=dr_purple)\n", "plt.fill_between(xs, 0, density_neg(xs), color=dr_purple, alpha=0.3)\n", "\n", "density_pos = gaussian_kde(roc.positive_class_predictions, bw_method=0.2)\n", "plt.plot(xs, density_pos(xs), color=dr_dense_green)\n", "plt.fill_between(xs, 0, density_pos(xs), color=dr_dense_green, alpha=0.3)\n", "\n", "plt.title(\"Prediction Distribution\")\n", "plt.xlabel(\"Probability of Event\")\n", "plt.xlim([0, 1])\n", "plt.ylabel(\"Probability Density\")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "#### Scikit-learn\n", "\n", "The scikit-learn method is most consistent with how DataRobot displays this plot in the application. This is because scikit-learn supports additional kernel options and you can configure the same kernel used in the application (an epanichkov kernel with size 0.05).\n", "\n", "The other examples above use a gaussian kernel, so they may slightly differ from the plot in the DataRobot application." ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0,0.5,'Probability Density')" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from sklearn.neighbors import KernelDensity\n", "\n", "fig = plt.figure(figsize=(8, 8))\n", "axes = fig.add_subplot(1, 1, 1, facecolor=dr_dark_blue)\n", "xs = np.linspace(0, 1, 100)\n", "\n", "X_neg = np.asarray(roc.negative_class_predictions)[:, np.newaxis]\n", "density_neg = KernelDensity(bandwidth=0.05, kernel=\"epanechnikov\").fit(X_neg)\n", "plt.plot(xs, np.exp(density_neg.score_samples(xs[:, np.newaxis])), color=dr_purple)\n", "plt.fill_between(\n", " xs, 0, np.exp(density_neg.score_samples(xs[:, np.newaxis])), color=dr_purple, alpha=0.3\n", ")\n", "\n", "X_pos = np.asarray(roc.positive_class_predictions)[:, np.newaxis]\n", "density_pos = KernelDensity(bandwidth=0.05, kernel=\"epanechnikov\").fit(X_pos)\n", "plt.plot(xs, np.exp(density_pos.score_samples(xs[:, np.newaxis])), color=dr_dense_green)\n", "plt.fill_between(\n", " xs, 0, np.exp(density_pos.score_samples(xs[:, np.newaxis])), color=dr_dense_green, alpha=0.3\n", ")\n", "\n", "plt.title(\"Prediction Distribution\")\n", "plt.xlabel(\"Probability of Event\")\n", "plt.xlim([0, 1])\n", "plt.ylabel(\"Probability Density\")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Word Cloud\n", "\n", "Text variables often contain words that are highly indicative of the response. The [Word Cloud](https://docs.datarobot.com/en/docs/modeling/analyze-models/understand/word-cloud.html) insight displays the most relevant words and short phrases in word cloud format.\n", "\n", "This example shows you how to obtain word cloud data and visualize it in similar to how the insight is displayed in the DataRobot application. The example uses `colour` and `wordcloud` packages.\n", "\n", "First, create a color palette similar to DataRobot's style." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from colour import Color\n", "import wordcloud" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [], "source": [ "colors = [Color(\"#2458EB\")]\n", "colors.extend(list(Color(\"#2458EB\").range_to(Color(\"#31E7FE\"), 81))[1:])\n", "colors.extend(list(Color(\"#31E7FE\").range_to(Color(\"#8da0a2\"), 21))[1:])\n", "colors.extend(list(Color(\"#a18f8c\").range_to(Color(\"#ffad9e\"), 21))[1:])\n", "colors.extend(list(Color(\"#ffad9e\").range_to(Color(\"#d80909\"), 81))[1:])\n", "webcolors = [c.get_web() for c in colors]" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "The variable `webcolors` now contains 201 ([-1, 1] interval with step 0.01) colors that will be used in the word cloud. Next, configure the palette." ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from matplotlib.colors import LinearSegmentedColormap\n", "\n", "dr_cmap = LinearSegmentedColormap.from_list(\"DataRobot\", webcolors, N=len(colors))\n", "x = np.arange(-1, 1.01, 0.01)\n", "y = np.arange(0, 40, 1)\n", "X = np.meshgrid(x, y)[0]\n", "plt.xticks(\n", " [0, 20, 40, 60, 80, 100, 120, 140, 160, 180, 200],\n", " [\"-1\", \"-0.8\", \"-0.6\", \"-0.4\", \"-0.2\", \"0\", \"0.2\", \"0.4\", \"0.6\", \"0.8\", \"1\"],\n", ")\n", "plt.yticks([], [])\n", "im = plt.imshow(X, interpolation=\"nearest\", origin=\"lower\", cmap=dr_cmap)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Now you can pick a model that provides a word cloud in the DataRobot. Any \"Auto-Tuned Word N-Gram Text Modeler\" model will work." ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [], "source": [ "models = project.get_models()" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Model(u'Auto-Tuned Word N-Gram Text Modeler using token occurrences - diag_1_desc')" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "model_with_word_cloud = None\n", "for model in models:\n", " try:\n", " model.get_word_cloud()\n", " model_with_word_cloud = model\n", " break\n", " except ClientError as e:\n", " if e.json[\"message\"] and \"No word cloud data\" in e.json[\"message\"]:\n", " pass\n", " else:\n", " raise\n", "\n", "model_with_word_cloud" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [], "source": [ "wc = model_with_word_cloud.get_word_cloud(exclude_stop_words=True)" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [], "source": [ "def word_cloud_plot(wc, font_path=None):\n", " # Stopwords usually dominate any word cloud, so we will filter them out\n", " dict_freq = {\n", " wc_word[\"ngram\"]: wc_word[\"frequency\"]\n", " for wc_word in wc.ngrams\n", " if not wc_word[\"is_stopword\"]\n", " }\n", " dict_coef = {wc_word[\"ngram\"]: wc_word[\"coefficient\"] for wc_word in wc.ngrams}\n", "\n", " def color_func(*args, **kwargs):\n", " word = args[0]\n", " palette_index = int(round(dict_coef[word] * 100)) + 100\n", " r, g, b = colors[palette_index].get_rgb()\n", " return \"rgb({:.0f}, {:.0f}, {:.0f})\".format(int(r * 255), int(g * 255), int(b * 255))\n", "\n", " wc_image = wordcloud.WordCloud(\n", " stopwords=set(),\n", " width=1024,\n", " height=1024,\n", " relative_scaling=0.5,\n", " prefer_horizontal=1,\n", " color_func=color_func,\n", " background_color=(0, 10, 29),\n", " font_path=font_path,\n", " ).fit_words(dict_freq)\n", " plt.imshow(wc_image, interpolation=\"bilinear\")\n", " plt.axis(\"off\")" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "word_cloud_plot(wc)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "You can use the word cloud to get information about the most frequent and most important (highest absolute coefficient value) ngrams in your text." ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[{'coefficient': 0.6229774184805059,\n", " 'count': 534,\n", " 'frequency': 0.21876280213027446,\n", " 'is_stopword': False,\n", " 'ngram': u'failure'},\n", " {'coefficient': 0.5680375262833832,\n", " 'count': 524,\n", " 'frequency': 0.21466612044244163,\n", " 'is_stopword': False,\n", " 'ngram': u'atherosclerosis'},\n", " {'coefficient': 0.37932405511744804,\n", " 'count': 505,\n", " 'frequency': 0.2068824252355592,\n", " 'is_stopword': False,\n", " 'ngram': u'infarction'},\n", " {'coefficient': 0.4689734305695615,\n", " 'count': 453,\n", " 'frequency': 0.18557968045882836,\n", " 'is_stopword': False,\n", " 'ngram': u'heart'},\n", " {'coefficient': 0.7444542252245913,\n", " 'count': 452,\n", " 'frequency': 0.18517001229004507,\n", " 'is_stopword': False,\n", " 'ngram': u'heart failure'}]" ] }, "execution_count": 39, "metadata": {}, "output_type": "execute_result" } ], "source": [ "wc.most_frequent(5)" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[{'coefficient': -0.875917913896919,\n", " 'count': 38,\n", " 'frequency': 0.015567390413764851,\n", " 'is_stopword': False,\n", " 'ngram': u'obesity unspecified'},\n", " {'coefficient': -0.8655105382141891,\n", " 'count': 38,\n", " 'frequency': 0.015567390413764851,\n", " 'is_stopword': False,\n", " 'ngram': u'obesity'},\n", " {'coefficient': 0.8329465952065771,\n", " 'count': 9,\n", " 'frequency': 0.0036870135190495697,\n", " 'is_stopword': False,\n", " 'ngram': u'nephroptosis'},\n", " {'coefficient': 0.7444542252245913,\n", " 'count': 452,\n", " 'frequency': 0.18517001229004507,\n", " 'is_stopword': False,\n", " 'ngram': u'heart failure'},\n", " {'coefficient': 0.7029270716899754,\n", " 'count': 76,\n", " 'frequency': 0.031134780827529702,\n", " 'is_stopword': False,\n", " 'ngram': u'disorders'}]" ] }, "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ "wc.most_important(5)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "#### Non-ASCII texts\n", "\n", "The word cloud has full Unicode support, but if you want to visualize it using the code from this notebook you should use the `font_path` parameter that leads to font supporting symbols used in your text. For example, for Japanese text in the model below you should use one of the [CJK fonts](https://en.wikipedia.org/wiki/List_of_CJK_fonts). If you do not have a compatible font, you can download an open-source font [like this one](https://github.com/googlei18n/noto-cjk/raw/master/NotoSansCJKjp-Regular.otf) from [Google's Noto project](https://www.google.com/get/noto/).\n", "\n", "For this section, download the Japanese-translation version of the \"10k_diabetes.csv\" dataset [here](jp_10k.csv)." ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Project ID: 5c0008e06523cd0233c49fe4\n" ] } ], "source": [ "jp_project = dr.Project.create(\"jp_10k.csv\", project_name=\"Japanese 10K\")\n", "\n", "print(\"Project ID: {}\".format(project.id))" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "In progress: 2, queued: 12 (waited: 0s)\n", "In progress: 2, queued: 12 (waited: 1s)\n", "In progress: 2, queued: 12 (waited: 1s)\n", "In progress: 2, queued: 12 (waited: 2s)\n", "In progress: 2, queued: 12 (waited: 4s)\n", "In progress: 2, queued: 12 (waited: 6s)\n", "In progress: 2, queued: 11 (waited: 9s)\n", "In progress: 1, queued: 11 (waited: 16s)\n", "In progress: 2, queued: 9 (waited: 30s)\n", "In progress: 2, queued: 7 (waited: 50s)\n", "In progress: 2, queued: 5 (waited: 70s)\n", "In progress: 2, queued: 3 (waited: 91s)\n", "In progress: 2, queued: 1 (waited: 111s)\n", "In progress: 1, queued: 0 (waited: 132s)\n", "In progress: 2, queued: 5 (waited: 152s)\n", "In progress: 2, queued: 3 (waited: 172s)\n", "In progress: 2, queued: 2 (waited: 193s)\n", "In progress: 2, queued: 1 (waited: 213s)\n", "In progress: 1, queued: 0 (waited: 234s)\n", "In progress: 2, queued: 14 (waited: 254s)\n", "In progress: 2, queued: 14 (waited: 274s)\n", "In progress: 2, queued: 12 (waited: 295s)\n", "In progress: 1, queued: 12 (waited: 316s)\n", "In progress: 2, queued: 10 (waited: 336s)\n", "In progress: 2, queued: 9 (waited: 356s)\n", "In progress: 2, queued: 7 (waited: 377s)\n", "In progress: 2, queued: 6 (waited: 397s)\n", "In progress: 2, queued: 4 (waited: 418s)\n", "In progress: 2, queued: 3 (waited: 438s)\n", "In progress: 2, queued: 1 (waited: 459s)\n", "In progress: 1, queued: 0 (waited: 479s)\n", "In progress: 1, queued: 0 (waited: 499s)\n", "In progress: 0, queued: 0 (waited: 520s)\n", "In progress: 2, queued: 3 (waited: 540s)\n", "In progress: 2, queued: 1 (waited: 560s)\n", "In progress: 1, queued: 0 (waited: 581s)\n", "In progress: 1, queued: 0 (waited: 601s)\n", "In progress: 2, queued: 2 (waited: 621s)\n", "In progress: 2, queued: 0 (waited: 642s)\n", "In progress: 0, queued: 0 (waited: 662s)\n", "In progress: 1, queued: 0 (waited: 682s)\n", "In progress: 0, queued: 0 (waited: 703s)\n", "In progress: 0, queued: 0 (waited: 723s)\n" ] } ], "source": [ "jp_project.set_target(\"readmitted_再入院\", mode=AUTOPILOT_MODE.QUICK)\n", "jp_project.wait_for_autopilot()" ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Model(u'Auto-Tuned Word N-Gram Text Modeler using token occurrences and tfidf - diag_1_desc_\\u8a3a\\u65ad1\\u8aac\\u660e')" ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ "jp_models = jp_project.get_models()\n", "jp_model_with_word_cloud = None\n", "\n", "for model in jp_models:\n", " try:\n", " model.get_word_cloud()\n", " jp_model_with_word_cloud = model\n", " break\n", " except ClientError as e:\n", " if e.json[\"message\"] and \"No word cloud data\" in e.json[\"message\"]:\n", " pass\n", " else:\n", " raise\n", "\n", "jp_model_with_word_cloud" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [], "source": [ "jp_wc = jp_model_with_word_cloud.get_word_cloud(exclude_stop_words=True)" ] }, { "cell_type": "code", "execution_count": 45, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "word_cloud_plot(jp_wc, font_path=\"NotoSansCJKjp-Regular.otf\")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Cumulative gains and lift\n", "\n", "ROC curve data also contains information necessary for creating cumulative gains and lift charts. Use the fields `fraction_predicted_as_positive` and `fraction_predicted_as_negative` to get X axis and set:\n", "\n", "* Use `true_positive_rate`/`true_negative_rate` as the Y axis for cumulative gains\n", "* Use `lift_positive`/`lift_negative` as the Y axis for lift.\n", "\n", "You can use the code for visualizations below, along with baseline/random model (in gray) and ideal (in orange)." ] }, { "cell_type": "code", "execution_count": 46, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ((ax_gains_pos, ax_gains_neg), (ax_lift_pos, ax_lift_neg)) = plt.subplots(\n", " nrows=2, ncols=2, figsize=(8, 8)\n", ")\n", "total_rows = (\n", " df.true_positive_score[0]\n", " + df.false_negative_score[0]\n", " + df.true_negative_score[0]\n", " + df.false_positive_score[0]\n", ")\n", "fraction_of_positives = float(df.true_positive_score[0] + df.false_negative_score[0]) / total_rows\n", "fraction_of_negatives = 1 - fraction_of_positives\n", "\n", "# Cumulative gains (positive class)\n", "ax_gains_pos.set_facecolor(dr_dark_blue)\n", "ax_gains_pos.scatter(df.fraction_predicted_as_positive, df.true_positive_rate, color=dr_roc_green)\n", "ax_gains_pos.plot(df.fraction_predicted_as_positive, df.true_positive_rate, color=dr_roc_green)\n", "ax_gains_pos.plot([0, 1], [0, 1], color=white, alpha=0.25)\n", "ax_gains_pos.plot([0, fraction_of_positives, 1], [0, 1, 1], color=dr_orange)\n", "ax_gains_pos.set_title(\"Cumulative gains (positive class)\")\n", "ax_gains_pos.set_xlabel(\"Fraction predicted as positive\")\n", "ax_gains_pos.set_xlim([0, 1])\n", "ax_gains_pos.set_ylabel(\"True Positive Rate (Sensitivity)\")\n", "\n", "# Cumulative gains (negative class)\n", "ax_gains_neg.set_facecolor(dr_dark_blue)\n", "ax_gains_neg.scatter(df.fraction_predicted_as_negative, df.true_negative_rate, color=dr_roc_green)\n", "ax_gains_neg.plot(df.fraction_predicted_as_negative, df.true_negative_rate, color=dr_roc_green)\n", "ax_gains_neg.plot([0, 1], [0, 1], color=white, alpha=0.25)\n", "ax_gains_neg.plot([0, fraction_of_negatives, 1], [0, 1, 1], color=dr_orange)\n", "ax_gains_neg.set_title(\"Cumulative gains (negative class)\")\n", "ax_gains_neg.set_xlabel(\"Fraction predicted as negative\")\n", "ax_gains_neg.set_xlim([0, 1])\n", "ax_gains_neg.set_ylabel(\"True Negative Rate (Specificity)\")\n", "\n", "# Lift (positive class)\n", "ax_lift_pos.set_facecolor(dr_dark_blue)\n", "ax_lift_pos.scatter(df.fraction_predicted_as_positive, df.lift_positive, color=dr_roc_green)\n", "ax_lift_pos.plot(df.fraction_predicted_as_positive, df.lift_positive, color=dr_roc_green)\n", "ax_lift_pos.plot([0, 1], [1, 1], color=white, alpha=0.25)\n", "ax_lift_pos.set_title(\"Lift (positive class)\")\n", "ax_lift_pos.set_xlabel(\"Fraction predicted as positive\")\n", "ax_lift_pos.set_xlim([0, 1])\n", "ax_lift_pos.set_ylabel(\"Lift\")\n", "ideal_lift_pos_x = np.arange(0.01, 1.01, 0.01)\n", "ideal_lift_pos_y = np.minimum(1 / fraction_of_positives, 1 / ideal_lift_pos_x)\n", "ax_lift_pos.plot(ideal_lift_pos_x, ideal_lift_pos_y, color=dr_orange)\n", "\n", "# Lift (negative class)\n", "ax_lift_neg.set_facecolor(dr_dark_blue)\n", "ax_lift_neg.scatter(df.fraction_predicted_as_negative, df.lift_negative, color=dr_roc_green)\n", "ax_lift_neg.plot(df.fraction_predicted_as_negative, df.lift_negative, color=dr_roc_green)\n", "ax_lift_neg.plot([0, 1], [1, 1], color=white, alpha=0.25)\n", "# ax_lift_neg.plot([0, fraction_of_positives, 1], [0, 1, 1], color=dr_orange)\n", "ax_lift_neg.set_title(\"Lift (negative class)\")\n", "ax_lift_neg.set_xlabel(\"Fraction predicted as negative\")\n", "ax_lift_neg.set_xlim([0, 1])\n", "ax_lift_neg.set_ylabel(\"Lift\")\n", "ideal_lift_neg_x = np.arange(0.01, 1.01, 0.01)\n", "ideal_lift_neg_y = np.minimum(1 / fraction_of_negatives, 1 / ideal_lift_neg_x)\n", "ax_lift_neg.plot(ideal_lift_neg_x, ideal_lift_neg_y, color=dr_orange)\n", "\n", "# Adjust spacing for notebook\n", "plt.tight_layout()" ] } ], "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": "3.8.8" } }, "nbformat": 4, "nbformat_minor": 4 }