{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Supervised Classification Module\n", "\n", "**Lecturer:** Ashish Mahabal
\n", "**Jupyter Notebook Authors:** Ashish Mahabal & Yuhan Yao\n", "\n", "This is a Jupyter notebook lesson extending the GROWTH Summer School 2019 and adapted for the NARIT-EACOA 2019 summer workshop.\n", "\n", "## Objective\n", "Classify different classes using (a) decision trees and (b) random forest \n", "\n", "## Key steps\n", "- Pick variable types\n", "- Select training sample\n", "- Select method\n", "- Look at confusion matrix and details \n", "\n", "## Required dependencies\n", "\n", "See GROWTH school webpage for detailed instructions on how to install these modules and packages. Nominally, you should be able to install the python modules with `pip install `. The external astromatic packages are easiest installed using package managers (e.g., `rpm`, `apt-get`).\n", "\n", "### Python modules\n", "* python 3\n", "* astropy\n", "* numpy\n", "* astroquery\n", "* pandas\n", "* matplotlib\n", "* pydotplus\n", "* IPython.display\n", "* sklearn\n", "\n", "### External packages\n", "None\n", "\n", "### Partial Credits\n", "Pavlos Protopapas (LSSDS notebook)" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "# For inline plots\n", "%matplotlib inline\n", "\n", "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "\n", "import io\n", "import pydotplus\n", "from IPython.display import Image\n", "\n", "# Various scikit-learn modules\n", "from sklearn.model_selection import train_test_split\n", "from sklearn import tree\n", "from sklearn.metrics import confusion_matrix\n", "from sklearn.tree import DecisionTreeRegressor, DecisionTreeClassifier, export_graphviz\n", "from sklearn.model_selection import GridSearchCV\n", "from sklearn.ensemble import RandomForestClassifier" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Define datadir and files we will use" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "datadir = 'data'\n", "\n", "# for decision tree\n", "catalog = datadir + '/CatalinaVars.tbl.gz'\n", "lightcurves = datadir + '/CRTS_6varclasses.csv.gz'\n", "\n", "# for random forest\n", "featuresfile = datadir + '/cvs_and_blazars.dat'" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Read the light curves" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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IDMJDMagmagerrRADec
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" ], "text/plain": [ " ID MJD Mag magerr RA Dec\n", "0 1109065026725 53705.501925 16.943797 0.082004 182.25871 9.76580\n", "1 1109065026725 53731.483314 16.645102 0.075203 182.25867 9.76585\n", "2 1109065026725 53731.491406 16.693791 0.076497 182.25870 9.76574\n", "3 1109065026725 53731.499465 16.793651 0.078755 182.25869 9.76576\n", "4 1109065026725 53731.507529 16.767817 0.077436 182.25878 9.76581" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "lcs = pd.read_csv(lightcurves,\n", " compression='gzip',\n", " header=1,\n", " sep=',',\n", " skipinitialspace=True,\n", " nrows=100000)\n", " #skiprows=[4,5])\n", " #,nrows=100000)\n", "\n", "lcs.columns = ['ID', 'MJD', 'Mag', 'magerr', 'RA', 'Dec']\n", "lcs.head()\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "301" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(lcs.groupby('ID'))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Read catalog with class information for variables" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Catalina_Surveys_IDNumerical_IDRA_J2000DecV_magPeriod_daysAmplitudeNumber_ObsVar_Type
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4CSS_J000103.3+105724110900105073900:01:03.37+10:57:24.415.251.58375820.112238
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" ], "text/plain": [ " Catalina_Surveys_ID Numerical_ID RA_J2000 Dec V_mag \\\n", "0 CSS_J000020.4+103118 1109001041232 00:00:20.41 +10:31:18.9 14.62 \n", "1 CSS_J000031.5-084652 1009001044997 00:00:31.50 -08:46:52.3 14.14 \n", "2 CSS_J000036.9+412805 1140001063366 00:00:36.94 +41:28:05.7 17.39 \n", "3 CSS_J000037.5+390308 1138001069849 00:00:37.55 +39:03:08.1 17.74 \n", "4 CSS_J000103.3+105724 1109001050739 00:01:03.37 +10:57:24.4 15.25 \n", "\n", " Period_days Amplitude Number_Obs Var_Type \n", "0 1.491758 2.39 223 2 \n", "1 0.404185 0.12 163 1 \n", "2 0.274627 0.73 158 1 \n", "3 0.30691 0.23 219 1 \n", "4 1.5837582 0.11 223 8 " ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cat = pd.read_csv(catalog,\n", " compression='gzip',\n", " header=5,\n", " sep=' ',\n", " skipinitialspace=True,\n", " )\n", "\n", "columns = cat.columns[1:]\n", "cat = cat[cat.columns[:-1]]\n", "cat.columns = columns\n", "\n", "cat.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Get a subset of variable types, and with minimum length of light curves\n", "### The classes are from Drake et al. 2014 and Mahabal et al. 2017\n", "### 2: EA (detached binaries), 4: RRab, 5: RRc, 6:RRd, 8: RS CVn, 13: LPV" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Catalina_Surveys_IDNumerical_IDRA_J2000DecV_magPeriod_daysAmplitudeNumber_ObsVar_Type
0CSS_J000020.4+103118110900104123200:00:20.41+10:31:18.914.621.4917582.392232
4CSS_J000103.3+105724110900105073900:01:03.37+10:57:24.415.251.58375820.112238
8CSS_J000131.5+324913113200105201000:01:31.54+32:49:13.114.7113.0495490.171888
16CSS_J000216.1-165109101500100209100:02:16.16-16:51:09.716.070.304870.171245
23CSS_J000309.5+193816111800106063900:03:09.56+19:38:16.617.821.125820.592062
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" ], "text/plain": [ " Catalina_Surveys_ID Numerical_ID RA_J2000 Dec V_mag \\\n", "0 CSS_J000020.4+103118 1109001041232 00:00:20.41 +10:31:18.9 14.62 \n", "4 CSS_J000103.3+105724 1109001050739 00:01:03.37 +10:57:24.4 15.25 \n", "8 CSS_J000131.5+324913 1132001052010 00:01:31.54 +32:49:13.1 14.71 \n", "16 CSS_J000216.1-165109 1015001002091 00:02:16.16 -16:51:09.7 16.07 \n", "23 CSS_J000309.5+193816 1118001060639 00:03:09.56 +19:38:16.6 17.82 \n", "\n", " Period_days Amplitude Number_Obs Var_Type \n", "0 1.491758 2.39 223 2 \n", "4 1.5837582 0.11 223 8 \n", "8 13.049549 0.17 188 8 \n", "16 0.30487 0.17 124 5 \n", "23 1.12582 0.59 206 2 " ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "vars6 = cat[ cat['Var_Type'].isin([2,4,5,6,8,13]) & (cat['Number_Obs']>100) ]\n", "vars6.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Some visualizations - these are not particularly informative, but just representative that one can try at the start of an analysis." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(13876, 9)\n" ] }, { "data": { "text/plain": [ "(array([4614., 1683., 5148., 491., 0., 1474., 0., 0., 0.,\n", " 466.]),\n", " array([ 2. , 3.1, 4.2, 5.3, 6.4, 7.5, 8.6, 9.7, 10.8, 11.9, 13. ]),\n", " )" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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Dfj7uRhbAqcAU8M/t8tUnkrxk3E2NQlXtB/4e+C7wGPB0VX11vF0tiJVV9VhbfhxYOc5mFtCfAP827iaOxJIN/SQvBT4HvKeqfjDufkYhyZuAA1V157h7WSDLgDOBa6rqDOB/OX4vD/ySdm17I4MXtt8EXpLkj8bb1cKqwf3gS+6e8CR/zeAy8nXj7uVILMnQT/I8BoF/XVV9ftz9jNAbgDcneZjBbyg9N8m/jLelkdoH7Kuqwz+Z3cjgRWAp+EPgO1U1VVX/B3we+J0x97QQnkhyCkB7PDDmfkYqyR8DbwLeUcfph5yWXOgnCYNrwg9U1YfH3c8oVdXlVbW6qtYyeBPwlqpaMmeLVfU48GiSV7XSecD9Y2xplL4LnJPkxe179DyWyJvUz7IL2NSWNwE3jbGXkUqygcGl1TdX1TPj7udILbnQZ3A2/E4GZ8F3t6+Lxt2U5uzPgOuS3AOcDvztmPsZifbTy43AN4FvMfi/d1x/rD/JZ4D/AF6VZF+SzcBVwBuT7GXw081V4+zxSM0wt38AXgbsbrnyT2Nt8gj5axgkqSNL8UxfkjQDQ1+SOmLoS1JHDH1J6oihL0kdMfQlqSOGviR15P8BQvkat4YSX2wAAAAASUVORK5CYII=\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "print(vars6.shape)\n", "plt.hist(vars6.Var_Type)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(pd.to_numeric(vars6.Period_days).values, pd.to_numeric(vars6.V_mag).values, 'r.')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Pick two classes" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Catalina_Surveys_IDNumerical_IDRA_J2000DecV_magPeriod_daysAmplitudeNumber_ObsVar_Type
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" ], "text/plain": [ " Catalina_Surveys_ID Numerical_ID RA_J2000 Dec V_mag \\\n", "115 CSS_J001420.8+031214 1104002007409 00:14:20.84 +03:12:14.0 17.45 \n", "174 CSS_J001616.0-173612 1018002041429 00:16:16.00 -17:36:12.4 13.87 \n", "198 CSS_J001724.9+200542 1121002007726 00:17:24.90 +20:05:42.2 16.64 \n", "214 CSS_J001812.9+210201 1121002027610 00:18:12.97 +21:02:01.5 14.54 \n", "328 CSS_J002230.8-183246 1018002024540 00:22:30.83 -18:32:46.1 11.72 \n", "\n", " Period_days Amplitude Number_Obs Var_Type \n", "115 0.3871100 0.56 174 6 \n", "174 215.564 1.17 111 13 \n", "198 0.3571291 0.39 224 6 \n", "214 0.41616 0.34 224 6 \n", "328 201.28718 1.26 111 13 " ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "vars2 = vars6[ vars6['Var_Type'].isin([6,13]) ]\n", "vars2.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Create a 'target' column with 0|1 for the two classes" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "Y = vars2['Var_Type'].values\n", "Y = np.array([1 if y==6 else 0 for y in Y])" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([1, 0, 1, 1, 0, 0, 1, 1, 0, 0])" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Y[:10]" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "#X = vars2.drop('Var_Type',1).as_matrix()\n", "X = vars2.drop('Var_Type',1)" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [], "source": [ "#vars2['target'] = (vars2['Var_Type'].values==6)*1\n", "#vars2['target'] = Y\n", "vars2.loc[:,('target')] = Y" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Catalina_Surveys_IDNumerical_IDRA_J2000DecV_magPeriod_daysAmplitudeNumber_ObsVar_Typetarget
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" ], "text/plain": [ " Catalina_Surveys_ID Numerical_ID RA_J2000 Dec V_mag \\\n", "115 CSS_J001420.8+031214 1104002007409 00:14:20.84 +03:12:14.0 17.45 \n", "174 CSS_J001616.0-173612 1018002041429 00:16:16.00 -17:36:12.4 13.87 \n", "198 CSS_J001724.9+200542 1121002007726 00:17:24.90 +20:05:42.2 16.64 \n", "214 CSS_J001812.9+210201 1121002027610 00:18:12.97 +21:02:01.5 14.54 \n", "328 CSS_J002230.8-183246 1018002024540 00:22:30.83 -18:32:46.1 11.72 \n", "\n", " Period_days Amplitude Number_Obs Var_Type target \n", "115 0.3871100 0.56 174 6 1 \n", "174 215.564 1.17 111 13 0 \n", "198 0.3571291 0.39 224 6 1 \n", "214 0.41616 0.34 224 6 1 \n", "328 201.28718 1.26 111 13 0 " ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "vars2.head()" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([1, 0, 1, 1, 0, 0, 1, 1, 0, 0])" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Y[:10]" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " Catalina_Surveys_ID Numerical_ID RA_J2000 Dec V_mag \\\n", "115 CSS_J001420.8+031214 1104002007409 00:14:20.84 +03:12:14.0 17.45 \n", "174 CSS_J001616.0-173612 1018002041429 00:16:16.00 -17:36:12.4 13.87 \n", "198 CSS_J001724.9+200542 1121002007726 00:17:24.90 +20:05:42.2 16.64 \n", "\n", " Period_days Amplitude Number_Obs \n", "115 0.3871100 0.56 174 \n", "174 215.564 1.17 111 \n", "198 0.3571291 0.39 224 " ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#X[:3,:]\n", "X[:3]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Create a training sample with 60% of the objects" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [], "source": [ "# Create test/train mask\n", "itrain, itest = train_test_split(range(vars2.shape[0]), train_size=0.6)\n", "mask=np.ones(vars2.shape[0], dtype='int')\n", "mask[itrain]=1\n", "mask[itest]=0\n", "mask = (mask==1)" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([ True, True, False, True, False, True, False, True, False,\n", " False])" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "mask[:10]" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "% Class 6 objects in Training: 0.4965156794425087 0.49998785936285606\n", "% Class 13 objects in Testing: 0.5378590078328982 0.49856463525395417\n" ] } ], "source": [ "print(\"% Class 6 objects in Training:\", np.mean(vars2.target[mask]), np.std((vars2.target[mask])))\n", "print(\"% Class 13 objects in Testing:\", np.mean(vars2.target[~mask]), np.std((vars2.target[~mask])))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## A bit about Decision Trees\n", "\n", "One builds a decision tree using one or more predictors:\n", "\n", "Here we want to classify variable astronomical sources (e.g. EA, RRab, RRc, RRd, RS CVn, LPV etc.) using a few features we have access to viz. V_mag, Period_days, Amplitude, Number_Obs (note that not all of these may be good or useful for our purpose).\n", "\n", "Generically let's call them 𝑋𝑖1,𝑋𝑖2,...,𝑋𝑖𝑝 ( 𝑖 for source type, 𝑝 for predictors). We also have an observed label π‘Œπ‘– for each type of variable.\n", "\n", "We first assign everyone to the same class, say π‘ŒΜ‚ 𝑖=1 . We can calculate the squared error πΈπ‘Ÿπ‘Ÿ=βˆ‘π‘–(π‘ŒΜ‚ π‘–βˆ’π‘Œπ‘–)2 \n", "At each step of the algorithm we consider a list of possible decision (or split), for example 𝑋12>35 , i.e. period is greater than 35.\n", "For each possible decision we recalculate the predictor for that rule, for example π‘ŒΜ‚ 𝑖=6 if 𝑋12>35 and Y i=13 if X<35.\n", "We recalculate the error for each possible decision: πΈπ‘Ÿπ‘Ÿ=βˆ‘π‘–(π‘ŒΜ‚ π‘–βˆ’π‘Œπ‘–)2 \n", "We choose the decision that reduces the error by the largest amount\n", "then keep going (if there are multiple predictors). The Err term is our impurity/loss function." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Define a few functions we will be using" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [], "source": [ "def display_dt(dt):\n", " dummy_io = io.StringIO() \n", " tree.export_graphviz(dt, out_file = dummy_io, proportion=True) \n", " print(dummy_io.getvalue())" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [], "source": [ "# This function creates images of tree models using pydotplus\n", "# https://github.com/JWarmenhoven/ISLR-python\n", "def print_tree(estimator, features, class_names=None, filled=True):\n", " tree = estimator\n", " names = features\n", " color = filled\n", " classn = class_names\n", " \n", " dot_data = io.StringIO()\n", " export_graphviz(estimator, out_file=dot_data, feature_names=features, proportion=True, class_names=classn, filled=filled)\n", " graph = pydotplus.graph_from_dot_data(dot_data.getvalue())\n", " return(graph)" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [], "source": [ "# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - #\n", "# Important parameters\n", "# indf - Input dataframe\n", "# featurenames - vector of names of predictors\n", "# targetname - name of column you want to predict (e.g. 0 or 1, 'M' or 'F', \n", "# 'yes' or 'no')\n", "# target1val - particular value you want to have as a 1 in the target\n", "# mask - boolean vector indicating test set (~mask is training set)\n", "# reuse_split - dictionary that contains traning and testing dataframes \n", "# (we'll use this to test different classifiers on the same \n", "# test-train splits)\n", "# score_func - we've used the accuracy as a way of scoring algorithms but \n", "# this can be more general later on\n", "# n_folds - Number of folds for cross validation ()\n", "# n_jobs - used for parallelization\n", "# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - #\n", "\n", "def do_classify(clf, parameters, indf, featurenames, targetname, target1val, mask=None, reuse_split=None, score_func=None, n_folds=5, n_jobs=1):\n", " subdf=indf[featurenames]\n", " X=subdf.values\n", " y=(indf[targetname].values==target1val)*1\n", " if mask.any() !=None:\n", " print(\"using mask\")\n", " Xtrain, Xtest, ytrain, ytest = X[mask], X[~mask], y[mask], y[~mask]\n", " if reuse_split !=None:\n", " print(\"using reuse split\")\n", " Xtrain, Xtest, ytrain, ytest = reuse_split['Xtrain'], reuse_split['Xtest'], reuse_split['ytrain'], reuse_split['ytest']\n", " if parameters:\n", " clf = cv_optimize(clf, parameters, Xtrain, ytrain, n_jobs=n_jobs, n_folds=n_folds, score_func=score_func)\n", " clf=clf.fit(Xtrain, ytrain)\n", " training_accuracy = clf.score(Xtrain, ytrain)\n", " test_accuracy = clf.score(Xtest, ytest)\n", " print(\"############# based on standard predict ################\")\n", " print(\"Accuracy on training data: %0.2f\" % (training_accuracy))\n", " print(\"Accuracy on test data: %0.2f\" % (test_accuracy))\n", " print(confusion_matrix(ytest, clf.predict(Xtest)))\n", " print(\"########################################################\")\n", " return(clf, Xtrain, ytrain, Xtest, ytest)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Run the decision tree model and get a confusion matrix\n", "### We will use the V magnitude and period as variables\n", "### We will use the gini index" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's first fit on two covariates to help us visualize what's going on. Have a look at the options on the help page . We'll be optimizing over two options here: max_depth - the maximum depth of the tree, min_samples_leaf - the minimum number of samples required to be at a leaf node." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Assuming the root note is S, and S' iterates over leaf notes such that the union of S'=S. Then the Gini impurity measures L(S') = |S'| 1βˆ’ p_{S'}^2 βˆ’ (1βˆ’ p_{S'})^2, where p_{S'} is the fraction of S' that are positive examples" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "############# based on standard predict ################\n", "Accuracy on training data: 1.00\n", "Accuracy on test data: 1.00\n", "[[177 0]\n", " [ 0 206]]\n", "########################################################\n" ] } ], "source": [ "clfTree1 = tree.DecisionTreeClassifier(max_depth=3, criterion='gini')\n", "\n", "subdf=vars2[['V_mag', 'Period_days']]\n", "X=subdf.values\n", "y=(vars2['target'].values==1)*1\n", "\n", "# TRAINING AND TESTING\n", "Xtrain, Xtest, ytrain, ytest = X[mask], X[~mask], y[mask], y[~mask]\n", "\n", "# FIT THE TREE \n", "clf=clfTree1.fit(Xtrain, ytrain)\n", "\n", "training_accuracy = clf.score(Xtrain, ytrain)\n", "test_accuracy = clf.score(Xtest, ytest)\n", "print(\"############# based on standard predict ################\")\n", "print(\"Accuracy on training data: %0.2f\" % (training_accuracy))\n", "print(\"Accuracy on test data: %0.2f\" % (test_accuracy))\n", "print(confusion_matrix(ytest, clf.predict(Xtest)))\n", "print(\"########################################################\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Yeah, we got perfect classification!\n", "### But there is a good reason for it. In fact two.\n", "### (1) Period is not a good variable to use for classification - if you have the period of an object, you already know a lot\n", "### (2) In this particular case, the periods for the two classes are very distinct from each other and so they are easy to separate when period is used as one of the variables." ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(574, 383, 574, 383)" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(Xtrain), len(Xtest), len(ytrain), len(ytest)" ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "digraph Tree {\n", "node [shape=box] ;\n", "0 [label=\"X[1] <= 42.634\\ngini = 0.5\\nsamples = 100.0%\\nvalue = [0.503, 0.497]\"] ;\n", "1 [label=\"gini = 0.0\\nsamples = 49.7%\\nvalue = [0.0, 1.0]\"] ;\n", "0 -> 1 [labeldistance=2.5, labelangle=45, headlabel=\"True\"] ;\n", "2 [label=\"gini = 0.0\\nsamples = 50.3%\\nvalue = [1.0, 0.0]\"] ;\n", "0 -> 2 [labeldistance=2.5, labelangle=-45, headlabel=\"False\"] ;\n", "}\n" ] } ], "source": [ "display_dt(clf)" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [ { "data": { "image/png": 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88YLZ3tlzOJuns3r2Mi08nQgHS1EknPNL1mThACzC7NMYJjmMwG4o9rGFzMyWdhxDS1evXiVEr4iV2oXuFNtVOGnDIR/Wa2yJfSVPfcHSbo2Gsl+rcWEl37V7F43/4w9VJEe1nYXe8OzZs8Inu2HMoYEXF9B3+mos8qJ7n6ogoADPCEOjnWAgwnyhu7YStvl437hn5bG1jr/OVQ4j8E4ngAvOVS08g/NEsmeGlfB0MtxLLRrIBhZ3ukRMDl/SFcuX+WWe6rcaqEG587xG06dNNY0sfhlAd+I3Dmjh6Z6V2trunj+v/F2EGVqNNc4eOFYs/6SdhR9srtx5xAcU1mP4m1pde5yNrcs0BwKVA1p4BuqbeUHzgpUXfy+CorN1HU7/a9aupaxZs9KoX0a+iGH1GJoDYcIBLTzDhK26U2ccgH4X7j1wX/IEkuGsvS7THAgkDmg/z0B6GxFkLuFNcIbUJzaCvMYI/5h65RnhPwIhZ8C8efOoS9duHIr6i8ewQ2vvMBb5I52ItU9n57cZ1m3GjJm05J8lYiVmAGF65513vPJsWLRoES3kP0WIrIJF3FXYraqnjxGPA1p4Rrx3HuonBi7oSQa8wDEkhBXc7t27CbpPnIfW/cjZ2HDlAfgK4s4RHw8A4eYtWtJOjtQZwDH37ghz6tqtOx2yAVezI7q7ZvpeBOWAFp4R9MWH5rG7du1CderUFr/SkPQDwBOgTEFohoXgxFw+7d+flnGCNHbwNg1hnTp1pM85TJOdyk3kJmfzxooaXgAcrWPexpwVXoBZqE80B5gDWuepPwY+cQAO+b4QhFNYOXdjew2kplQM4IFYd0Vt27SR019GjVZFTo9DAW2XKaPA48E5Hc+oBadTVulC5oAWnvpj4MAB+GICTKNipcpUmVN69GU8ybkMyAHACgXBduDAAerHWJsQVKAbN27QhAkT6Z269QRs46efhkvb1iy0gDakCJEqM2bMkG01BJ2/CchCVzj6BsAg1pUt3KMYFJoWLFhgAnHYx96wYQOt57+p06ZTWcY/BT4onkmT5oArDuhtuyvORNBy6AsvX74sEUULFy6iho0aSSB++XLlJJHZ+fMX6OvBg2k3h4MyIIZw6eefR0quoDvsgrR//34RXnBH+o0Tr12+fIX+mjdX+uzB+ZoA6QYgZBVpZGczDDSAlPNEBQrkp4oVKzpUO3UqCHQ5VaqUDuW4QDjqYU6wdv78eRNs2FoJK01O0SG4mGvZD/U8C/1mLVrQdobF+4bBjDVpDgTjAH+INdk4EBJgEDuYQni+BuAIf0AMgJ2o5yhYoICUnTtz2ixjhHwps6IJAT0IbX//9VezHkAskPJD9YWjPZ2I9R7OQ5Mq46cffpA5OMsVBGASzE+BqtjHtV4jpYdCfGLkAa/aWNu/KucaGMQmGGyXeuUZ7Ock4hZgxQkCuK+i4sWL8eprBwHjMlWqVFJsTwmCQgW6kTNnDtWU8Sxzc1qSVQRVgGqjjmYl24lKlWErDnYJi72dVBZSZ36ZwNIEeaPDxLOM4iyf0M8OGTqMli7lDJWFC9uH09cRnANa5xnBPwDWxy9TpowAFENYYNsNQm4dTnoWDP3e2s7VuTfpRJy1hfDy9Oes7/Tpg3L/3LlzJ1i38P3kDJyCsh7spouCdxs3ljtHjx11UUMXR2QO6JVnRH77tmdH5M+C+X/TWzVrUbnyFSSvPODrZs+aKflybNXD5DI0qTKyZ89OjB3KeeCPO8wNq06sqpFQLSSEtBugPAxmoklzwM4BLTztHIng1xA877xTh7My9hbsT5XJ8UWxBfHvwAv1ZI13lioDaoXatWtLPiNY+ZXwQyqLh2yIalC/vsNjYHuPPyRSc0bTp88gBh2matWqOrutyyI4B5x/aiI4UyLq4yN3EHLswEdyxYqVkskReXGyZMnsAB0HcGMQ0uoqunDhopyqNMq4QDphEMB7VSIza1uAQdsJoLubN220F3t9DQ+AhQsXikfA9999J+2+/+EHQs4nOMsrQiRSPs4rhe38vr17xH0qUaJE1JXzEZUuXVqs8iN+/pmGDhlCWNFq0hwIxgGbAUlfMgciqrUdeXIyZ8okVmn+oDgc36lTR6zmw3/80awDS3qvnj2MwYMGSToNtEGupU0b1pvWapQhl9COf7cZrtKJ+Ns6jdQbWbNkkRQWSDuCVCUqlYUay54Go/bbb5vPi9xCSHeyaMF8B08B1TaiHLW13b041EjywX5OKEIhyVsfHz6aSM07/o/fxUKOVRl0kIhh78Xb+L17doc4RbK1/xd9ju0/VpPKE8A+vjUNBn9N+DmPE4xNWbJk0ZB5zCyNJG//xDhe6227Iz8i7BWMKogoArJ8vnxBKYsVMyBY5nLcd5IkSVRRuDgqVYGryUKwKoKu1ZkaQd3XR80BOwe08LRzJIJew0ADATpz5izKlDETvfZaHoI70JYtW2npsmVUv169MItJj6As148dzjmghWc4f4H+mj4MNUjG9vPIkfQtG1ousWsPRwhRpUoVafDXg6hEiRL+Gkr3oznwSnBAC89X4jX65yHgJI8/bNOR3dKVrtA/o+leNAfCNwe08Azf7y9MZg/9n1Vwwogye/Yc+psd6Jcs+YeuX7saJuP6q1MI/5kzZ9Lhw0foo4/6BOvWG6R5b+oE65gLQtLu6NGj7JO6gM6cPUPsiUDFixeXLjH/7777XlCeZkyf5mwYXRYAHNDCMwBeQqBPAb6ZiE8HytJtJ6GPgTR/wOf1/+xzQY5n96pgU/MGad6bOsE65oKQtJs9ezY1bdac3nqrBoM0v071GzSkAgUKSNoQQOsBqX/WjOnOhtFlgcIB/pXTZONARPXz9OS/WLRIEfGF9FTvZd1/+viRAcSnv+bOkXkq31TrfD7q01vuwYdRlQNFir+Ppl+nN3VUW+vR23YH9u01YkSPbpQqWdJ4/PCBzOPLgQMNFpYG0KsGfPaZUbZMGXN+1jFe5Ln287QJBtulBgYJlF+xcDAPV2GMgTJ1ACBXq1ZN0JyczckbpHlv6vjat2rX79P+Ei769aCvzNDQc+fPUc6cOcXD4Ztvv2UM0aGquj4GKAf0tj2AXszp06dp7LhxtHnzFkJYZIYM6WnY0OdfovXr19PsOXPM++91aE81a9aUJ0Cs95QpUwmO382bN6Ofhg8XRCTEczdu3IhOnDghQMSbeEuIXD59+vSWbJLYks+b9xdNZ4T3b78ZRn9OmED//LNUwin79f0kmM+nnV0A3Pjhxx9px46dFC9eXGrRvDlVrfo8FtzTM9n7C8trhTRf8c03XSLNA00eaPTu6mB7bv8h8aZv1W7dunXEEVBinMPzAgB6/foNhHDS/3XpIlv5IkWKhCUrdN9+4IAWnn5gor+6aNK0Gb1ZoQItXDCfFi9eLNE+SnjiC1f2jXKcEXIcffnFF/TBhx9KPDbisgFu0aZtOzEwpOOUEzPYWFK+fDlJiQE09IWLFnIaje1UtmwZ2rhxI83ndBTAvuzY8X1JpzF69Bh6wDpNZLYsUaK4CAb0gRjx3bt2uowqQkROpcpVqGePHlSdV3yf9O1H1Wq8RePGjKHWrVsJW9w9k51va9asoU2bNtuLg11j3rFjxw5W7qnAG6R5gIiAQopG703fCsUeqPZJkyY1pzuUMUMbM2I/cFSR+gPvFIT3ClyAZOwypikAOWDbxutL5sDL0HmeOHZU9G5fDBhg6rpqVK9unvMqUO5v27JZyv6eN1euJ4wfL9cKgT1TxozG1cuXpOzIoYNSJ0vmzMa1K5el7PjRI1LWqmULuYYODbHn/NE0Fi9cYJa1btVSyjq0b2eWlSxRQsqU3q1O7dpGm9atzPsb1q2V+5yATco8PZPqRx0/6N5N2mMurv6A7H7l0kVzTNXWejx6+JC0t+s8vUGa79njQ2kbUjR6b/pWKPbfDB1qxIsb1xj9yy8GA5EYmOfD+/cMvG/oTaG7/bRfX4PxR408uXML+r4Vyd/6rGF5rnWe7sWh1nkGyA8aMjWy4KO+nFjtvfffJ+BoTp70PAFZ308+oS2MNlSoUCFenW0ilQkS22IQENhZsAhSeuLEiaUMMdpROUoIsHIqFDEjjxEzRgxGPHqOiAQcTxCsvYowHgjbcWcElxyoEBCRVKRoMfl7v2MnYkEtKgf4iXp6Jnu/Xw8aRJwCw/3f3Ts+h4l6gzSvIPiw6rOTOzR6b/pWKPbdunWlKZMn0d59e6lkiZI0dcpkwqp7y5Yt9FGfPtS+QwcaMPAL+pHRoPbs3iVQelDJaAosDmjhGSDvA76Vv44bSyk5Edko3kZny56Ds1bOM2eHtBPIUlm0WHHRi1az6BXNSk5OnKW9gL5OCQInTaQoA6PHA1gYYzojlaqjX9++tHXLZvnb/u82OnL4EB06eEBcbjw9k73faIydCf9Sd3+IhPKVvEGa51xH0n1I0ei96Vvhi8KwVb16ddFxNmzYQPSvPXr2os8/+0x+GMf9+hvVYl1206ZNZC55875mIvv7+uy6nf85oHWe/uepTz3CyosQyJ2crbH7Bx/QpMlTqEXLlmy4SUUVWA+KlL2NGr9LI9gQ1IENRcuXL/dpHG8bQTj+x87a2bJlc9pE6Ry3bN0S7P69e/fEWRx6PXfPZG84fvyfNIv9Hz3RH7//JjpbT/Xs971Bmvemjr1fXPvaDm3x3DAatWvXlrp264Yi+l/nTnLEPxs3buJdQX7zWp8EBgf0yjMw3oPAoX3IhhcYEyayxRtGFwivOez0DRo8ZCg95a0kVioglWOItTJy7eofT/ddtQMYMoj1cHK0/wOVQFze7gNtffv27eZtbHebt2gpQMkwKLl7JrPRsxMYR6CG8PSHHxpfSCHN79y50yGfvBVp3ps61rHxvLCih7Sd6gM/NH379WPQ5cHipnTp0mWKwivTsmXLShWsgP/6+28HDwbVVh9fMgfcq0Qj5t2XYTA6fPCAkSRxYuP82TNiDLlw7qwYLqZMmiTXAOflj4rRqeP7xvSpU4zcuXLJNUB858yaaaj6eV97zTSmIIUu2sBgpAwLd27dNPjLabyWJ49ZBkMF6o0ZNUrKUAcpgnPmyGE8enDfrJchfXqpd+nCeSn7+KM+cg3jBxzNYQiB43ePDz+Q+56eSc3J38cVy5bKvN4oW9acuxoDBrdYMWOKoUaVIW0yI82LoQZl3tRBPTi4Azg5bZo0xu2bN7xup8bFEQ7x7BZlzhOpm1ldYpw+ecJ4cO+u8XatWvK+rW1e1Lk2GLmXfwCB0GTjwMsSngkTJDBgLe/cqaNRtUoVo3u3rsZ/Tx7LFwtRMymSJzeiRY1qVKpYUb6onNVSBEH3rl3lCwgBiC8eLMV7d+8SQYYy/MEyvm/Pbmmrylo0b2ZAwCrhidzmEJoQBmVKlxaBjC/qmVMnjZpvvSX9oC2iX2A5hmCFtR1jopwNVjI2+kQ7CE93zxQWQqB3r55GtqxZzfk0b9bU2Lh+nSmcMKY3SPPe1LGj0Xvbt3pu/FACjR8o+6oMXhMtWzQ3kiVNasC7Yfzvv5v3VJ0XddTC0yYYbJcaSZ6/9XaC4YI/tOJcbr8XVtdq+4ct6dmzZwWYF4YFK8HIgz+lb8R2EdcwsISGkC0Tvp/8ZSZsI2E5DgnwMbaWR44cEQR2WP0VefNMqu7LOHpCmsecPNWxotFbn8FTO9S9ePGiBC8oQBBre/DO/v6t91/EuUaSd89lbTByz58XdhdfFFjUQVmzZnU6LoQ6/hTBao4/fxHm4AuaOqKhrG5Oaj7ePJOq+zKOnpDmMSdPdZQLmH3+ntqhfgr2rMCfM3rZgtPZnHSZIwcclzaO9/RVBOEADDUgrHg1aQ5oDnjHAS08vePTK1kLKoKWrVrR1q1b5fnatmtPf/wx/pV8Vv1QmgP+5oD/9nz+npnuL8w5gBxFAKNQ+c0xYGic0MN8wnoAzYEA4oAWngH0Ml7GVBImTPgyhvV5zEAwpPg8ed3wleKAFp4B+DrDW9qLZZxdc95ff5mcLFqkqBlaGJK0FGYHz04WLVrEiFCLzGJE4UDVMHrUKCnztm9EY/3w40/iuF+1ahVq1rSpS8xPczAnJ96O56SpWcTeLhK7/kbZN0weqZvg44SJE3mepwkhmZhn4cKF1W3xaADUoDOCsXHokCESnYYfGEXAKNCoTIobfj7aXJf0JXPgZfh5Wn33zp4+JQ7rcD7n1/3S/Pysc3J3/vVXX8k8vx02TJz8r1+9InOGEzlD7Bn58+UTv1SgvCdNksQAQpS7/nAPyELZs2WTfsED9bd0yeIQ9Q1/zejRohkIJlCBBhwZZdy8fs3jHKxzDM2zWPtBIAGe5ZOPP3IY/+fhw8VnFzwC/4AwBWf++X/NM+t169rF5IPihzoWLFBA6gHJ6uD+fUaVypWlLvx9reOH5Fz7eboXh9pJ3gl/XrbwVB/wQE97oeaphOeeXTsdvqjepqVQ/ViPs2fOEIf9k8ePGeoPzvqqjjd9Q+C9VaOGROuodggggMAZ8dNPZl/qnrujN+O5a497cIaHILcLT8DNxYkd23i3cSNzTgiOSJM6tQRGwBkfgQeM1WpAoN24dlUg7ABjd/f2LSNxokSGFcoQY+Ea42jh6eQL7qcibW3nT1igkj99OF/0M2J7PWbMWGJsT6pRo4Y5fNs2beRcQeqZN2wnQ4d9wyDMGRk676T4QgLeTkG6eds3nNAHDvic0jJAtKKGDYKwAdC3t+TteO76u3//viR8+45TbNgJGUnvcnBCwQIFzVtApCpWrBhdZGjCSZMmS4aAcWPHSOYABDFgm44/gFtf4+wBdeu+Y7bVJy+GA1p4+pnPgwZ9LQjvdd6pK6hICtpMlcM1CITIFCC4N2G9FmDmOnXuTKqusykhBQfqNmrcWNLqos7XXw+Wa5ThvpXmMNYmxqpWvQYjvPelmzdvWm+H+blKS5EnTx6HSBkIsgTx49MCjmhChJQz2sCpMJAOY+q06VS2XHnKlDmLIKyrut72DWFrd95fynrFwoyJWqVKFdWdx6O347nrqGevXvwjUp3KlXsjWLXDRw5L2R3GKrUS7zzkcjsjbcHpvlKlStbbco70KYxzIPmPgt3UBWHKAW0w8jN7e/XqSaVeL02bGdj2N06ZgegbUGeGGEuQMBH9uy3Ip7Lxu03o2LFjtHfPbs4vfphKcvpZGCTG//GH0xmV4rxDSFHxASMv5cqZi1cadal3714CnDyaV3iVK1Um1AH1Y0DlNWvWcrqOgbR//wHq2KmTgBYDb9NZKCeAeP2d/iIkaSnsD4yom6GDB9MGXlWtXbuWzl+4QEgnAiHyzbBhYlBBm5CkygBS0+cDBhCwMhl930Gg28e3X4fmWdDX/PnzBVZuw/p18q7t/SdMEOTxsGVL0GdD3c+UKZOcnjt3XhU5HLEinjVrNrVv386hXF+8GA5o4elnPsN3EpkPy3C+oWnTp1PLli1khBUrVlDlypVlJYQt3MqVK6l06dISbpk7d27Bg9ywYaPb2eTOncvhPrZ2BfIXcCjbsWMHYZV7/NhRQZB//fXXJafR4iVL6M8/Jzj9ogH27tvvvnfox37BoB/UqlVLM67eft9+jcRwIGfCWpUBLV8ht1vbI0S0R48PpQi86ta9O+EH4jue47u8yg5p3/hxata8BaPi75A+m3KSOozdvXs367Auz0M6nrUjqA46/6+L5KWyhtZa65TnfFPgL1bcmBdgCUHACwBlzZpFjvZ/8KN3iflc9x29Zbfz5kVc6217GHAZQpEtzJLEDTo70NhxvxKyXYIgPLDinPDneEL2yhEjfpYViUqpIZV8/AeuLsD9hNpApcfAHJAew9XWPSzSX4QkLYW7RwWvRv3yC/Xq2UNM7kuXLjOBkK0uOaoPhZCv9KMoB6Dzxg3r6c7tW9SHV+sgqDJcqQ2kguWf0DxL6zZtqTdv2ZFW2BXBHalr1y50nVH7keQPGKgAa+nXv780yZ/PORAytux4r3bVhKtxdLl/OaBXnv7lp9lbp44dqf1779GYsWOpI+ckAgDvW2+9Zd7H6uKzzz+nZcuWU3dGD8eXS62MzEo+nBw8eIgY5kzSYnjb3A444m07d/VCkpbCXT/qHlacQzjL5FFeUSPDJ8iZjhiqD06cRirlhWqPIwxwg776ilatWi0qgaNHj1KOHDmsVZye+/oss2bNkh/QPHlyU2/OTQS6cuWKHBctWiyIWPXr1SOkGYYhCemOV61eDQ8Y/kx05dTRB8Q3tXTp16WN9R/8cGDL3qxZU2uxPn+BHNDCM4yY3aTJu9Srd2/6lXVs+NK2aNHcRECCrqpBw0byxVizehUhYdu4X3/1y0xix45Ft1iAHDx4MJhgALK70qNZBwuL9BehSUthnZs6V8IwT+48oUp5gf7KlGGdNOevt65O1TjOjr4+y/37D0SIw1quSK12kebkAutyob9WOdrhlaA8EyZzGpajrBPnbJ6SSE+1V0ds2S+wSkBv2RVHXvxRb9vDiOfA3IS+E8aOAQMGknLRwXBYMSzivOyVKlUUwYkypNXAisMdKdelm7eeW87Vl1FtYZUOFDnUrf3BGt+7z0dOuw+L9BchTUuB6CF3hHQf7CNJ1apV9Tnlhep/8+YtkhdKGfNUOVQoziikz4J3gfeCH9Azp085/K1etVKG6NLlf1KudOLWcaHrRAbV1KlS0aecosMZzZg5kxi0WtyZnN3XZS+AA37yF32lumEhZUyaMMF0WPbk/OzqPiI92BBgVK9WzaGvRQvmQ0qKA/Tc2bMkVzeu8TdrxnRj147tUt+e9gIO0Yg6Sp4smcE5jgxEpQBxHO2QrgHRJchpriKTkN5h5IgRxvvvdTDQl9XJ3NWcfSl35STvbToLpJ4AQj4ilOAcjqikenXrCuI75gMncqQE+eG770w+etM3kOyBuo92Ktc7IpQ4Q6k43lufFXWAiG/P9a7qeDMe6tpTc6j26ojPBN6XPcJI3d+wbq2RI3t2yQxw/OgR83nVfRwRfcX+swYniXN6H3W0k3zYiyS98uRPclgRtnvwzetgcyVBGRKrwYrbsVNnihc3HvGXV1L9fvb5AEFzr/V2bTp56pRMrV79BrRt2zaxdCOvN3R9HVifCvR36PBYgIrbDvRpQIBfvGihrFrg0/g+uyktWLCQfvt1nNfbVH/xAznmlyxexK46C6hgocJUtVp1WZH9Of4PB1chWJgf80rt/IXzBA8CoNFjZQWPhdx5XqN36tZj5KdvCas1Rd70DYQo6Jq7srU+dZq0VLpMWYKRZfeuncG2wuApEu4heydQ4O3kzXhogxUnLOx4F55W02oMqHHglws/3pq13uateg/6Z8liypgxo6ricFy3bp3saPSW3YEtL/4i7OVz+BvBXytPrACuXr5k5iGyrh5wbo+vtl/b66tr5Lm5duWyrDqw0rEmaVN1sILDyuvIoYMux1d1Q3t0tfK09ot4fZXbyFquzjFXla8Jx6OHDxk7t/9rIBmdquPq6K5v8AfJ8bzhLXIKIaHbk0cP3Y7pbjzMEe/m8sULbvuwPgvmOHb0aGPzxg0ex1b97965w0xYZ+1LneuVZ9jLHW0wCuPfKxiDXFF8jrSxkv3aes96bs0TpPSg1vs4xwrOVToPe11/Xd9gVxtX5CkthXWumHtI0oG46xv8cZXqwjpXuDh99PHH7E7WQVIAW+/Zz92Nh7quUnPY+1HXmGObNq3Vpccj+vc0xv0H9z32oyuEjgNaeIaOf7o1cwC+mHCPatiosUColXvjDa8d0AOFgXCkr85qhfr16wXKlHyaR9Nmzdh3+DZha493onMh+cRGrxrp7JlO2AS/xxedPdPJNHSR5sBL5YDOnume/dpg5J4/+q7mgOaA5oBTDmjh6ZQtulBzQHNAc8A9B7TO0z1/IvRduO/Mnj2H/p7/NwFz8vq1oBTF4YUpANqYMnWqOd0u//sfZcniCLLxzTff0il2ZFeUll2aenIcvSbNAU8c0CtPTxyKwPcRcfPw4UNauHAR3XjBeKD+YHvx4sWpQf36NGXKVPrxp+FUu847Esll7btp0yYUI0YMuQ+Le6NGDa239bnmgEsOaOHpkjX6Blxy2rZt4xYRKJC5BEszIPnq1asr09yzdy+1ah2EZK/mDTemDz/4QC77MdKSM4g8VVcfNQesHNDC08oNfe6UA658SZ1WDtDCQgWDUlwgwggI/FZKyhFaIE++k9Y2+lxzQOs89WdAwgi///4HWsOo7QgvrMopKho3bmSC8jpjEdKIAKxjFaNCHTp0mAEqitLgr782kfOBTTqWkfQBwgEAjgwZ0tOwoUPNrgDXBkF248ZNdojPRLVq1gxRagyzIy9PAGn35psVCLmRgOVZoEB+qlq1qrSGUz5IHeWC/0F+IOCjHjhwkFekaZkvValhw6AcSKqOPkZcDmjhGXHfvTw59JpvVqzEzu2FaNLECYJmXoWdxf/m1BGIr3ZFntKINGnajBjgQxDUFzOCFOor4QlDTrv2HejQwQMUJ04cAf7dl2W/U+EJ6DV/pQgBDsCuXbsJqPrvNmlKWzZvCmZAUs87cuQvgmD/y8iREmv+Mx8bvfsuzWShP23qFFVNHyMyB8I+AjT8jcDbVL+gKqk440A+Ihd4zBgxJIWtmmexokUFtQfoPSgrWaKEIAGp+4hRjxE9uqAfqbIihQsbWbNkkfpAd+LvlEM6XAZCMWO9GVFf8rer/O5rOLc64uNVX9Yj8pejL3d/QK5SqEnWtuq84/vvGcOGDJH+EXeOeaK/1/Lkkdh5PCeuH9y7K3WABwCetG7V0mFOZcuUkXqcm8qhXI3zqh113nb3skvrPPlbE1GJPxqSHrgCrxCBP6po3do1dOzoEZehfZ7SiCBNcCZGBOrLieiASwnUpMmTJqruqUTxEnTl6lVBWpo3b54YdTp16mjet574O0UI9JpzZs+iuLzihQGpZavW1uHkfM6cufSAvQwwTytBnQEC8pImzQEtPCPwZwC5jZAvPGHCBA5cgIEIcG7uCGlEhnImS+TcgU7TmqMHusNfx40lxs2kUZxeOVv2HDR37jyzO+gNWzKy/gke/212HwJUHRK9OSOEykJYu/vzNFd7v0iHPP6P3yXpGqDv7AakI/zDAbLHhat0GECB16Q5oHWeEfgzED16dHl6+HHCx9Ga3RHCDJlAVR0rmzylEcH9EiVK0E5OFdyd3YAmcUqJFi1bcu7xVILgDqPUb5x2BAYYJDtb8s8/VL9BQ1q5Yrl1GDkPixQh6LhOnTrUr19fGjDwC+prQ2tPliyZjL123VoHtCOVtsMblCbpQP/zSnNArzxf6dfr/uHgx5mEIfOQtdGaZwfCDwafs2fPOu3AUxoR5EqCUMTqdOKECcSo9wI0jBTHoE6dO0v+HqxAd+3cwemT80vis2vXrgUbzx8pQh48eBDMOR4DfcbZKWHlhyLTSsWLFZPL1avXWItp69Ztcl2qVEmHcn0RMTmgV54R872bT92f9ZJdOHtnm7Ztxe0IPo/Tpk2ndnytksUpZHUg32NVFj9+PGmPyJ0K5cvTxk2b6N/t26VsNusDsVqdOnUawekcidtq1Kgu914vFZQFEsJ5+IgR9MXAgZLDqXjxYrLyTchZL+2E3Ore5le3t1XXcDUCTJudoF4Aqn2JkqVoP2eqVIQkbMhkCSR+uFS98ywv+iJGxU/KSP29evZUVfUxInPAvT0pYt6NSNZ2WJoHffmlETtWLLEkx4oZ0xjw2WeC6o6cRzXfekvK+TtiwNq8dfMmQTCH9Rw5f9KkTm189cUXkicI1/ny5jVWLl9mJEyQwGCjkdG5U0eDDS0Gp9I1keLfbdzIYKxJo07t2mLRrla1qrFuzWq/W7DXrl5legrAIg+vAWd5nJBXKEH8+Ka1HVZzeAI0atjAAD9aNG9mNG7U0MiTO7exb89uv88zUK302truXv5pPE8nv5wREc8TekgYkGApt+o+nbDHLIKPqBX9Xl2r7JFYYWLrD1R4q/EF22gYebCixSpVRfiYHb+EE6gaMrKHgN1RHmqDPXv2CF/USvwlTO+lDKnxPN2zXW/b3fMnwtyFhd2OOOTp4a2CE3XVNQSlMjRZ02uo/pR13FM6C1X/RRxdCUYk1HuDkfE1aQ7YOaANRnaO6GvNAc0BzQEvOKCFpxdM0lU0BzQHNAfsHNDC084Rfa05oDmgOeAFB7Tw9IJJuormgOaA5oCdA1p42jmirzUHNAc0B7zggLa2u2DSxk0bCRZoTZoDEZUD2/4NiqiKqM/v6bm1n6cTDsHPEX6PmjQHNAdIQFuUe5nmx3MO6G37c16YZwDJAFxbRP2DY3u8ePHoUw7djKg8uMHx/ggtbdeuXYTlgXr3WnCaosHhRK88HdihL8CBhg0bMgjGVtrLeJcR+YszZcoUepfR49etW0clS2owEP3tcOSAFp6O/IjwV0uXLqVKlSrRfE7DUb16EKBHRGZK5cqV6eLFi7Rt2zatA4/IHwQnz66FpxOmRNSiR48eUd68eSl37twEdCRNRIcPHxaefPnll/Thhx9qlmgOmBzQOk+TFfpkKGe3PHPmDP3www+aGc84kC1bNvroo4+oP2N/IiOoJs0BxQG98lSciODHEydOyIoTRqI+ffpEcG44Pv5DzmeEFTnSd+gVuSNvIvKVFp4R+e1bnr1WrVp05MgR2rlzp9eQdJbmr/zpMgZGrlixIiFhXU1Gn9ekOaCFp/4MiEB4++23afny5VSekeE1OedAkyZNxPK+b98+h2yjzmvr0ledA1p4+uEN//TTT7Jq86arb775JqCstkj0BgNRqVKlaOLE5+mBvXmWiFYHVndkCW3fvj0NHjzYq8ffsGEDweXJEwEwumvXrm6rbedUJ0gL8vfff0sCO6hYNL08DmiDkR94P2nSJJrAic5AQGKHYeHHH3+k1atXC4o6QILhAoQyVyl2/TANn7r44osvCInXINQ1uecAsmZ+9dVX9O233wq6vPvaQXeLFClCtWvXpp9//lne/4ULF6ho0aLyV7BgQUJGTnw28BnyRHfu3KH9+/fTjh07xHHfU319P4w5wFEEmkLJgfz58xv8BTB7+eWXXyTvT7169cwyFlAGJzgzLl26ZJa97JMDBw4YjPhusHX9ZU8l3IzPqUWMYsWKGaVLlzY43YjX8y5QoIB8JsaPHx+szcGDBw3c94bY/1b6+YzzTGl6uRzQK08//DjBEluhQgW3PSVKlIjackZK5EIPFOrMKYCxZe/UqVOgTCng54EUI/zjSNiO/8q5570lhLu6ouzZs9Pw4cNd3XYo12A1Dux4qRcaNsgP7P/zzz+96gV+lAAcgc5q3Lhx9P333xP0pSrBGBKoIQHZ5MmTiVcjNGDAAEISNSRIs365kAIYvpjYvuFL2aJFC6patapXc1CVpk6dSrAgI/QwkAS6ml8gH7Hdxg9P7969CYa20CSwgxBetWqV6R62fv16cYfavHkzxY0bl9577z2P1n2oicaOHUuqTYYMGWjYsGEmC/3xeTE70yfPOfByF76v5ujOtu3qSTlWWrZd/AaMQoUKGfxBl+vp06cbnGxMzlVd/lIYvNIx0qVLp4qMY8eOGZyozcAYLPiMcuXKSRsWxmYdTycspA1Ovma0adPGU1V93wUHwEPWVxqtWrVyUcOxuAynbcY7x3tj0BHj+vXrBmfsNFj4Ghy5JJXXrl0r7/v333832LfU4B2BwT9sBrb1ihYvXiz9WLft6FtdL1q0yOBdjqrul8+L2Zk+ceAAFM+a/MwBd8ITQ3E2RvkCQNcIHdqWLVvkWILziuMLZqXkyZM7CM86deo4CD1euUibVKlSWZu5Pe/evbsI6itXrritp2+65wB+8HinYLBh0H1FvquEZ5w4cUToQvDiHO9bCc9+/frJNcfRS3+8Q5FrNkaa/duFJwc3SB02/Jl1atSoYZ774/NidqZPHDigt+386X3RpFLuwgoLHRosst7Q7du3ZUvHhifZsqMNtvVIGYx+VD50d33t2rVLVAWw/iKtribfOcAGQVGXYGsNFYo3+e5HjhxJzZo1k0H5m0gdO3Y0J9C3b19CsALvSGjTpk2iW8VNd2Gh8O5A2mS0RT2oeqD2Afnj8yId6X+cckAbjJyyJWwLIehAIdU1Hjp0SNrxCkUg4wAbB98/RAbhnif4OPVlhbCG8UpT6DkwYsQI4u23T65e0G/Dt7Nw4cIyEeS6B44oXJmgw6xWrZrHCaIPGK6APTpq1ChCLP7cuXOlXWg/Lx4Hj+AVtPAMRx+A2LFjy2x5mx9s1vfu3RPotGA3LAWsS6ONGzeKzyG+dJpCzwG16hs4cCABHyCkBKf7xo0bS7MZM2bIShY/bGPGjBGHfE/9YefB6h4JqwX2KIyOMCAiWiy0nxdPY0f0+1p4hsEngP3/pFes9EJCyg0FXwAQ2uPLofrD9hwWWNa1yYpT9Y37zZs3p1OnTqmiYEc2UIh1GNtEWIs1+Y8DPXr0IFi4YYF3ReqzoI7O6iFqCe8bYNSgu3fvytFdG6x6AZXHunGJEIMXBz4Pc+bMEXWOr58XGVj/45YDWni6ZY9vN8+dOycNz58/77QDuI6A2HLucB/AuyCsPABGXL9+fYLQQ38ApIBw7dKli3zB2OhEbGGVaBc2RojeC9s9VwRYNagJsELS5F8OYLsNXSbeGcInnZH6LMAtzRWpH0/oL7EKVehWcEFSW3H12eJgC7MbuJ0hcgnExiI5vv7664R5+fp5kU70P+45wL9qmvzEAf5gGw0aNDBixYolFlDmvMEC0Vi4cKGMwKsKo1GjRgYbFuQ+66cM1m2Zo8M1iR3u5R7ck0aPHm2wftIoW7aswSGBBvuIGgxYLNZ2uDChf1h7Odba4G272Y/9hI0P4gJjtdra6+jr0HOAt8tG2rRpDTbUmJ3BnUxZ2vG+8NlgVCZ5j2alZyd//fWXwSGg8vlgNH8DVveMGTNKGwZjNli/Kv2jH0SrffzxxwaDNcs5qw8MXvka7O9rwJuCV5/Sqy+fF/u89LVzDmhgEP4kBhph+83CUxzmoctUuivrPBHnDEMRtvLuolewheNwQqmzYsUKaxf63M8cwI4COkzoHBH/7gsh+SD+1DtHUAWuWeg67Q7vF3Ww3UfiPgCMKIOktYG3nxdrG33ungNaeLrnT7i/C5ekbt26iSsNQjE1hS0HYCWH6xI8IThePWwH072/VA5o4flS2R+2g0MvliNHDurQoQN9/fXXYTuY7l04wBs8YtAQWQki9FJ7Nby6HwxtMHp13y3BCowtPfxCNb0YDkBYcoSZZNtknfWLGVSP8lI4oFeeL4XtYT8osERhkYf1l0P0wn5APYIDB3r27CmO7gB4gRuRplePA1p4vnrvVAwI0LchdG/BggWv4BMG/iPBRxM6ZvaUIG9RtwL/qfQMrRzQ23YrN16Rc0DdHT16VGLYX5FHCnePwaAfghyPDAOI9tH06nFArzxfsXeKvOu5cuUSfSdyjWt6uRwA3ie27gBkgdO6pleHA1p4vjrvUp4EUUkAC9m7dy/FiBHjFXu68Pc48NnF9h3AydpwF/7en7sZ6227O+6Es3uM9ShhfUCd14IzMF4e9M7YASBxHFQpml4dDuiV5yvyLhl5nF577TXiZHQiQF+Rx3olHgMRQABjAY4rfuA0vRoc0CvPcPYegaKDdMEcs+wwcyDyAHziu+++cyjXFy+fAwD8gO/nP//8QwDxsBLCbwHaEmgpqa1z1OcuOOA85F2XBioHAO7Br1IAI5YsWSLT5O2gwUDIxpAhQwJ12npezAFGyzKQLuXmzZvCD0bKklxSeJ/epPLQTAwsDuhtu4sflUAtBvI44tUBCIG/unXrCmwdIMm8TQURqM/2qs/r2rVrEi4L2DicM4qSgHgAyAM6UTjWawo/HNDb9vDzrmSmnGFRnOAhOEHAeUTq2nLlyuk4auFI4P4TP358AmbrxIkTiWEKZaLqRxApoDWFLw7olWc4el+AJoPzNY52wuole/bskr4BwBSaAosDAAnhVM/i86l++KwzRO53BZJtLdfngcsBvfIM3HcTbGY7d+50KjhREV9IBsYloMojJYf+IgZj30spQCYAZAYoVaqUJOlzJjgxMU4D7TaNykuZvB7ULQe08HTLnsC6iXQM7jJuAhAXqD5I9eBsdRpYTxMxZoN0wIsWLRLdJt6PK8J7Q3I+TeGHA1p4hp93Jbm83U0XX0BO80Hr168Xn0J3dfW9F8OBfPnyiSGvZMmSbn/4kPNdC88X8078NYoWnv7i5AvoZ82aNQKyax8KQhN/gwYNokmTJnnM325vr6/DlgPQZ65cuZI415TLgeC3CxhBTeGHA9pgFE7eFfsGEif9CjZbOGBj1TJt2jR66623gt3XBYHFAZWmgz0WRU9tnR3eJaDsNICIlSuBe65XnoH7bhxmhpw4dsKXDSF/uKcFp507gXkN4xFWmIkSJZJU0tZZIowTvrqawgcHtPAMH+9J9J1YYSqCaxIsuEBQ0ondFFfCxxHvDZ4TwCKwGgDxYwiXJk3hgwNaeIaP9yRfKqxMFCFD47Jlyyhx4sSqSB/DEQfSpEkj7xQGPkXYysPYpyl8cEDrPMPHeyIYHa5evSorFYRnujM+hJNH0tN8xgHkeEeyPghPjn2nc+fOad6EAw4EE55w4p05c2Y4mHrEmSIcqDt27EixY8emXr16hdttOhKhISldWBGAhzdt2hRW3Ydpv0CaHzZsGD148ICQddOZcTBMJ6A7d8uBwoULU+bMmR3r2HFKGBdSUHu4lj5qHvj1M1D2jXL2j5tfrznRml/nq78DWgaoz8DIkSODfVajOorS51c5Ov9KiQtWeV6gz14aB24e3EBxM+SjKDHjvLQ5hHbgY3/24W3p6dB247F9tCiR6cSnxT3WC9QKdx8+pd3n71KJjPEDdYoRbl6vDd3u9JldCk+ntXXhS+FAghwlX8q4etAXz4E4MaJowfni2e7TiNra7hPbdCPNAc2BiM4BLTwj+idAP7/mgOaATxzQwtMntulGmgOaAxGdA1p4RvRPgH5+zQHNAZ84oIWnT2zTjTQHNAciOgdeWWs7O2XRvmENKHK0B7cumgAAO7lJREFUmJSr258hes/Xti+m45P7UZbmQynha2+EqG1IKt85voOubV9Ed0/tpXhZi1LS4rUpZrL0HrvwtZ3HjnWFgODA4gPXqN+C4zS0VhZ6I2twJC1Xk8RnvsHv+yhmtMj0Z9NcrqqFuvwOu1P9vfcqrT56g2JEjUwVcySi6rkSe8yh5Wu7UE84jDp4dVeexn9078x+unt6LxnPkqV5y8OHV07To6tn6cGVU942CXG9G/tW0+4va7LvZlzK1PQrenDpOO0Z9DY9vOY+NM/XdiGeoG7w0jhw+vpDOnvzEZ26/iBEc/iPQwT2X7pHey/cZbg7xAv4n548NajN5AM0buN5ev/11FTztSTU+69jNGyFex9eX9v5/wn81+Mru/KMFDkKFRzEGQkjReb/Q/YbkapSW0pcqBrFSJLGf5y29PTo5iU6NPI9ipMuN6Wp3lnuZGw8gLb1KEyHfnmP8n48z1L7+amv7Z73oM/CAwfalkxF1XgllyZhjBBNN0rkSLSuS0HiA6f94H/CgIaykFx7/Bb99m4Oyps6rozQqlhK+nblGSqaPj6Vc7FS9rVdGDyC37oMmVTx27AvpqOosRNQ1FjxfBosrAQnJnN18zx6eu8mJS/bxJwb5pm0SE26c3SbrJbNG5YTX9tZutCn4YQDIRWc6rESxIpK8WKGzZroKa9mJ267SMnjRqOK2RKpIalxoeRyPn7LBbPMeuJrO2sfgXgeNlx+AU96+9i/dP6fsYQtdqxUWSlupgKykoscI44cnz66Tzd2LaPLG2dRjo5jePUZhe6c2EXXts0n1EmUrwJdXDWB7l84Sslfb0jJStUzZ33//BFpFyNxGkrxxnMBZ1YI5cn13cukh9hpHfVSsdLkkHLoXOOkyxNsFF/bBetIF7w0Djx88h+NWHuWNp24JTrCgmnjUoE0cSl1/OiUJkEMShwnGh25fJ9m7bos102KpKCb95/Q0kPXacG+azSgekZavP8aLTl4nVIniE593kxPyeNFl+e5//gpLTt0Q9qOaZiDsBL1J20/e4eu33tCZTIncFjZpuZ5x+PIqOWHbxC251GjOI7razt/zj0s+gqXwvPW4S20d0hdytbuJzbolKP933Oq3XXTKHqiVJQg5+uUoeGndHLqALq8aTbn5OWMhaxIv3fuEB2f1FdWdtESpqArm+dQnPSv0d2Te+gIx44rAXx542w6t2A43Tt7gNLU6OKU5/89eUQXlo5zes9aGDt9HkqYu6y1SM4fsj4VFD1h0C+2XPA/0eInk1N1X5WroyoPaTvVXh9fPgfaTD5IV+89phkt89DyIzfovWmHZFKlOJa9W7m0dOn2Ixq+5hwdYN1ll7JBaqM/eEX305qzdO8Rp5e+co9yJItNEJRTt1+mq3cf0x9NcslxwOKTNHv3ZXr6n3zknT7sIxbe4zY5XyFaG+RJGZvKZnE0Vp298VCqJI/3HJRbtUnKQv/4tQd08c4jEfqqHEdf21n7CMTzcCk8z7Jwg0BMUuQtWVGmqdaRDg5vTQnzVqAsLYYIn7O2/YFXlUcIlmlQ7NTZKVvbH2n7R68TtvN5P/mbosSITRdW/EHHJ3xMtw5vltVrshJ1KGqcBHTg+2bSztk/xuNHdHL6F85uOZSlfLOVU+H55PZVqQdPACtFjh50/fjWFWuxee5rO7MDffJSObDr3B1awQLzAxaSiGGvmScJDWchtefCPRpeLxuleLaCxNa72YQD5ly7lE1Lh2U1eoU6l05DDQoG/ejmG7KFNp68LfWSsPD64Z2sdOTKfdrBK0RX9IhXhl8sOenqtlneqnjKYMLzGgt9UEy2sNsJFn4QhDlW0FbytZ21j0A8D5fCU4QIW9MfXDpBsVJmoXhZCgtvn9y94cDjSFGDtjOqUAmrGIlTi+BEeSwWqiCrwIpsaycVLP9EiRWXio08Yilxfuqqnyix4pPMlX8ArGQ8DfpwxkiU0lpsnvvazuxAn7xUDkCwgI5evW/Oo2DaeCI8b/DWXAnP6IwMZSclnLImi2Xeys4r0A28/YcqAC5DoOi2LbNZ+dlJXBbaR/oWsxcHu3Y2h3gxgsSFM0P+YxbKoJTPfgCsHfraztpHIJ4Hf0uBOEvbnBLkLiMl0A2C7p0/LMeEecvLMST/QBfqC0WJHos8/bnqWxmjnj5wXCE8fXBXpqIEun1evraz96OvXw4HimeIL8JtzdGbvAVndRITVopp2aqeJclzoejt7DzISZfdxIoWhTz9OdOXpkkYtBhRc7cOcJefJ0HMKKb+1XrP13bWPgLxPFyuPKGLvM86zFOzvmaD0Sm6ffRfSl31fUpe+nk+mLBkNoxRh0d19DgE1AgpywXf/sdKlY1usZ4VfqTQtSp6dP28nELF4Ix8beesL1324jkQO3oUcV5vMfEA1f1tL+VNFYeu8Gp0XKMcwYwsYTU76Eo7Tg9abLgbo0K2hNSsqOMOKDML+EhsCzrJfqhWesxKVqyq87Phyxn52s5ZX4FUFi6F53+P79Pju9cpR6exHJGTgTI06M/b8JD/cvv6IiLxJ+jRjYtBxig3ndjVCKpqivLN6eLK8XRj9wpKxAJW0Z3jO9nolZriPlNDoFwc/FlFESlKVApJO9WnPgYWB+D4Xi13YtFdxuOVml0/GNazjUSR6CIbpZ7tsl0OBzWCnaBWqJozMVv0r4thS1n591+8R9Cl1mIdrpXgqI8tfkjbWfsI5PNwKTxPThtI907v57999Jgdzu+c2MmW6qRi8IkW93k2yaf3g7bFD6+dFSH76NZleRdP7gcp2XHx8MqZoDKLvtTaTm7a/oHuNF+/BbZS7y/jsItSkqK16NLqSZSmWicWmCnFG+Dm3lWUo/M4Ux9rPH1CO/u/SdjOF/hiFXnbzvuZ6JovkgMQnL04Ggc+kuuP3+Stc2TCajRj4pgOqzaEMYLO3ny+wrt8O0hfevtB0D3cP8NRSCC4D6VkVyeQtW0G7tdO0J0u6JDPXuz1dVf2AFjBLknD2d1qQLVM0m7MhvNUkFedLdlZXhFclt78eSdhO7+qcwHytp1qHx6O4VJ4xs1cSFyTTs8Z6sBjGFRy/u83ipE0HZ2Y+hmHZ+6T+4dHd5ZInjN//yDXd9hHFNZypBk5PSfIOn91yzyKl7kg/ff4AZ1bPFrqXWedKuplqN/XYRx/XGRly/9xTk2x87NKFBfjsiogQ4N+7H/6ptm98d8TMWQ9fXif4B4VheKQN+3MDvRJQHEgEVvR07F+8x9eueHPSogoGsvb99/YjWj0hnNya/GB62IZTxw7Kq05dlPKYCmPzyvWyf9eohPsGgTqPPMwfV4tA32/8izt41WgKvuyRibK9ywKSAr98A+iiiY3z0Xd5xyljbxogYtSQn6uH+tmdfD9fMJLTqgkoCZ4xNt6b9v5YYovrItg2TMfPXpEMWLE4BVQ4OYwOjG5P0WKFl2c2x+z2w8ED1Znl9ZMpmjxkrCACRKSL4yLoRgIQvExr4jhkO+MsPXH1j1avOcratTz1M5ZXy+zDDmMsnMOo9UrV4TZNCZMmECtW7YI2BxGhy/fE30jXIqwzcUq8QFbyk/zivSLJadoRef8lD5R8NVimDEslB1fuPWIEsQKMj456wpbf2zd4fhvJU/trHUD4Rw5jL4a+h299957DtMJdytP+GWeXzqWiny/WwSK1eAC/8wbvPUNTwR3JleCE88RNY6jo7J6Nk/tVD19DAwOwKjSePx+ejN7IsqdMo7DpICGhFUmVqbhiZSqwNWcsSJ1Rp7aOWsTiGXOny4QZ/psTv89DtIDHfujJyUqVJXBO9LSw8sn6c6x7YSwymwdfg7g2eupRVQOIOoHvpDz912l9Lx1z5EiNsHVaMfZu7wlvyEO82EVkx5ReR7Wzx3uhGfK8i0YVOMW3dizko7++oFYoeHCg9j0DA1hdY8d1jzT/WsOhJgDMNSMbpid/th8gUaxTvPq3SeUJE5UieL5pFIGKpzONwCbEE9EN/AbB8Kd8IwcLQalq91D/mDciRQ1hkcQVr9xS3ekORAKDsBJHn/YpkPXCUd1TeGXA+EywkixGy5D8LnUpDkQnjiAz+yrLjjDCow5kN5zuFt5hoR5sMBf+3chXd+5VAxJxYbvD0nzl1b31sGNdGb+j5w+ZIIDkDOe59ziX0S/G5mDAuJnK86O8y0oclRHa6Z14vcvHqcLy361FpnniP3PyO5RigxGoAKvbjOmKPxmU7Izv8IDeHD5FB1lPXPaGv+jBLlKqyb6GEYc2H3+Li1k/Sig6KqyG9MH5dKF0Uih73bF4esCR6d6gm73Ka+ukUZEEcBKFjGUHlDui6aPR7XzJvXKs2Atu2gBtR4+rwBarpc/GWVPHlw1B8xQ8Grb6dviPtWco6MUHgD8a3vOPUr/Y4CV0gyn5y96tYUnO8PDpef6nuX0Hwue8EBPGCT58Jj/0aPr7OvHkUWMCS7TRjnSdsRMnpGNYiPowcUTdODHFnR993L2bf3VFHL2Z7y4/HeXwjM2Q/IpQuDAoZEd6C777qWv+xH/2KxmvNQxDPlXnnMs7ZFy1I+fo5Rqoo9hyAHEjwNJaS8jLlXhqJ5AJawwP114go5dDfI5VfOc0iK3OpVcR03+3E+9GXv0K/Y9Ber822P30Pz2eRmT1BGByWzEJ5tP3qKmE/YTQkUBfDJi7Tn6jXXG/35Y2AHw+faDJ9SBof12nrtLH1VML+ONYYFbnoXtHv4RQvlrjF4F2D9/0istPBG5k6LsuwJ6DKEQHujY+D5BgtM22TN/fU8PGLg5Z5ffBVIvbqb8rPftScfG92JYvfGUunJ7WwsixOBf3baAcnDgQPzsJUhB3hlPn9K/PYtQksLVzTYnJvUjRDjl7DpeHPVTvNGUMVPrUbpaH7CO7int+ryKrFJDmtLEHECfhIgD0I3CD3QBr9YCmQDKHJ+R6zd3L2ROE1lvUsUPEorAJwVmKdyzOpcJ8mUeUC0jFf5mm5TPa5fXbGc9QYQSQKPXdy1oCthe844ykv0lmrnrikM0Uz8W3qsYbGV8k5ziCtaUAaTrMXYAVutYAVf5ZRf1q5LRwYnfOpav5+Fa5+ntQyMuPDzQpfXT6cmd65TYItTUvK+xEIzMSE6xUmRWRRKZhIvzS8aYZdaTp3dvUpZW31DiApVZ4Mbn7X10+btzbJtA4iUpXEOq3zt7kC7z2PEZSFpFOD2+fY39aJNK6OiFZb/xWIX1dt3K3BdwHtXPSPBhMeWR687y9jsGh4o+pKScngPpQ5TgxHjz9lylmxxS2qRwcnN4uGTVfC0pbTtzR7bx5g3LyeW7j6hnhfSm4MStWtwGhPEUHWTQ6Ok7LtPrmeKL4ET5NY5sQuQT/EkRsVWY0fr9uV1XY/tFqiB2/NLqyQw8vF1SXMD3MiOjuSu6fWQLXf13kdyPwikwUjDSEL7QoMcsLK5unkvYlsLdCF9U+GsmKVpTUvEizcYVRoS/zX6cSM+LhGlQuGObeX3HErq69W8eqz9d3jBTtprRGSU+bc1ukopDje/siMgkpPFAdk1ksExWqj6DdJQ3q3p6JrOin04esK/qmTnD6LWP5tKJKf0deoXqAfOJFDmqqCEUTmhsTtuB1SS2+I/vsLCzxPWjA6y88Wcn8AzuXSrA4PaRrVIleemGZtWrnK4kbpZCEvuPwIR8/Raa916lkwWsV0QaXXzBM/CXsjJvkVUSM0TI4B4wM48xBifit+FWBCBjWMy3sn4NX1xkkdzOggAhlwAlbsNAwogUWsirRvxBCLYtkdJMmAZ95rw9VwT7EnB0c/n8DCMVIYVvJwY7dgYHZ+U5EIzG8rZ0L/cDfM76BZJReUtOIXfPZO0ntOd4/q2nGT+C/yAkkduob+UMVJf1koqWsT4UlIv9Wq2U4xkuKdIs57EFDaAeBLBVCKMMIapAoipnQbjfeioIp6LhM4Bo1IMvbSEWmGcY+R4o/Avb+x7Lj/5ckV+EJ2LHYUTI1X2i+F8eYrg2JTwlZcbgOrwC+pbSv9ObBcPnjPrehoEuVgoa/JHfPuTUGFv5S56aBeF8TqNRStLvHhnbhVGHltOdk7tly3mHYeeQkwiJ0lJWaEmnZw/h7fhEMp48lBTDiHePFCWK5ChCu/wDlrvMgQ7jx75vGgmMHXIZnZo1mJHjm1KWlsMoeZnGwit3z2Rn5q1Dm9iI86+9ONh1ivItnaI/wVADPWeGBp86FXaRokSTVed/D+8JGAryNYGAFxqdwzqxnQfKk114BpsAF2AsbOWxLVcE4xAoRtL0cnx08zJd4vxOefrMpqO/95AfFiVo8SMHIxJcxsI74cvfc94xWtOlAMVmt6EWE/fTIV7JKOHZcTrDHrJQQ9jkcdbp1WQ93R3WRf74Tjb6mfVvSI1xm7fWMIakSxiTVzrR6HfWycEwAmERhX/kH7NOcCWjx+NvO2dH3XTqFn226KTo4oB/CeEJgQBcT6zEznPI46C3nu8u7DyG8aPRH/tEYFdggTl42SnWCx6gYW9nkURsnp7J2l9oUnKgn2T8QwFhCSPNZn6uS3ceU5dZR+TZ+lfNKEMpcJPkcaPLtfonGQtakErRocqdHdEH9KRTOJ7/Jw5ttWYGxWoXpFajlzkNyATe2s9unYd68Da/PgtyBSCNXFAwIingaGdjhaQs1MITqES3OYUFcgmBcIyXtYic4x84syNlBpKdYcWE1d3FFb/zKnQnJSv5DuVmgbu5cw4RfLl7TGUBkEgQ4pEuA6tNoBchRDENW3m39y4hSdzQb6Z3GVmJ87IDFzNzs8E87hsoJgjjy2un0LmFIyhz88FSZv/n5NTPKUGOkibWJgwke76qRadYIEN4enome3/Xti/irXMQmIj9nvU6Ga/snEHnQZ+JlWCSIkHbaGsbnGOljdxM13f+QxhLCc8nHCwgqPp8H9B83hAEPdpY9Z3AHY0aJxE/wyhJXXJx5Z8ScIDtPGDzCg5aK6hPR8Z1Y96cpqj8jqBLTl3FMdbXm/EDqc4MXjUy60TI4Uv1Yfl0tOXZSgaAFlhxFmPLcDRGdoeFN3OSmCwoeKXF1In1dwC+GM2IQlj5tSuZWspv8Qp2FuvkOvJqtHWJVFLWbfYRWaFCMJbMmIA+q5qBdXL7KBsjwc9pk0feb8fS96nSyJ00YetF+h/37cqQ8jkL3pKZEphYmzCQ1GKhPoSFKLJYunsmmYzln9Ck5EA3QG3CqhsEfvVn3SN0kuBJnXxJBZQEwQAgZfmWC8s1eOiOsOLvMvOIub3/HwtntGlfKmhcGJMQ1jpq/XlJnPcn869/lQyE7TzQn9ZyKmb8IOIdnOaVaCIGWXm3UAp679m83Y3t6V6ohWd0zm0OFCOsBB9dOydGjOztn4dIpq3ZVbbocTPkZWH4L13gLyZIrMl8REoLUPSEKUVw4hwWZeJVFdJlqNjumDwGHOIfXj2DKkKRn0UTxeFEa4rSvtVVhOfdU3tVkcMRcHMQQEBgwpYdBOCNGCx8InGOdzjee3omhw75In3djyldnV72YodrCEDl9mO9AZXGFVZbeNoWA9kJapGz83+SlTlUDViJAzgkZvJMXkdWYcuOZ0XyO0Vwdcr/+VK6tHayoDgh1xNWmnu+riNqEug/d39RQwR0oSGb5Yduxydlw73wxNYOX7bKbFCAEaMyb5vVFhJ+mCsYSi02C1VYc2fsvCKrT6S8UAQ8TlDOFHFUEWVJGoQrm4utu4qyPiuDXhA6QaxyQbm5Dj4XILSrmScpj3NZvvjOhCcMSIt4mwtUJWzZQf/xwgTqhsjcz4PH/8l21dUzSQPLP6FJyWHpRk7BryHsmgTj0ch15who+UB0wlyh/uBpOpCZtuOZYcnhpuUCQMp/s1UeBqQhy0+JxX3wstPUungqAZDGD9vSjvkFZQpC9ce62Qj8rjNuj2CmIn9SjTG7mUcxxagFlUjZn3YEhvDEy8eWHMjqSOV7ZdMcytT0K15V1hUWYLX55P5N2jWwmqTTxcrzxq6lFvY4P1V6PetdbMtVnh9rufUc+lYsJ57cv2UtNs/vXzwm59CLpq7SwSy3n7h7JnvdID9L176W9vrW66O/96ToCZLTmb++M4vv8ooadHLGVwJ+Aj0vhFm+/kuEv9CPxkqZlZPaZaPjE/uyoaeU2dbdCX4kYHiypllW9aEbTVuzu7pkHfVC0bOmqtSG9g1rRFAZZG39nblyBpgJ+gvP1ncYILC6nMYr0Nac1bJslgQ0nL980GmCYHT4ZsVpgq9hu5Kp5EsJP0V35GxLqAw/SmC4aq+2ntC/OiOswkDd3khLHZ6tvOz1PD2Tvb6/nfWx4oTwPMHqBRDAnqH6gLrDSnf5hwCU3ZKTyXrffo50xh+zvnkjvy+oN9C/+lGCYag7J9VTtHD/VfELbcMr/0bj90nW0e/qZKVYjJ0KwpzgYmXd/qu2ITmGeuUJHVo8Nixg5QJDB4TnkXFdeSWZQvSgWOkc+uV9EahISXFz/9qQzC/EdR9AOPLPHFZjzggWaxAAlO0E3EzkFQL8m7tnsreDlRxCyRNlbfODWL2t9aA7fMCO7PhTpBDoYUgTlQULTxB4qgQ+AFKwGsQKFOGq3tCtw5sE/s6ZNd/a/r8nj+nU9C8pA6+o4ZiP1TFUMXF49wBCmcH/hWfBKc/BXyB8qaDjRNre1bxaaj/1EM1kfRmcruE7CH0b9GeJYkeT1Y0wIIz+gd4TBPWAMwJ4Mmink+yY91k4QUBhVevqmex9hiYlh70vdQ2jEQjpkUHZWDjiBwq6WiXsUH6eXZhAzhze5YaLf4qxCxfywKdykmgOTYBe9SXD+31cMYMAMUMNU4RxA6BXBkFo47MbWsGJvoLeBs58JBhfTnCOdBgdsrUfIUYXCC9sjUFnWfcIZ++kxWrJ9VNewYBgrXRPnu47b33zwDq5oVxu7LViJs/AHgGx6eqWvzhn+27zNlZRR8Z1YdXDWfL0TGajZydwL4LKwtMffmjslK//YvF5g9+b+kvEIM2gQkM2seFrmb2JXJ+YArDn/ZSW/TCxcrUSrPPO6Br/kCG3fdxMBZ3dNssusnUd8H5Jir1N8EoAxc9Z2rwP63vSYrXN6/B68vH845JO4m2OdlnaMR9v2WNzKt9bjMz+WPwrYeTBahSCE3SPt8WePpWeP9euubX++C3WdUannE4iaNAKW8/Y0SPTX+wBAIu9IqyiYKg5y8jy7p5J1VdHlZLjHOti3f05S8mh+rAf4Z0QjVeJ5VkXCWpeNIUcoX+0En4AUvOKEW5EVoIRyx3BOPc663zV7sBe94/NFxljNCq9nTeJ5FXC/dKZ45vVYH1HdJM/KNQrT0zi6uZ54h6EL3HCfBVlXnArAsG9BnRq1hA2epRk5PZhcg39HbJfwkoOempJjQHn7v8ePRDdntzEfRa6KIO1107X2GUJBgzUubxuGsXkdMTKao66j25ckCYQBABLTlWxjegO9wypy87lHWT1Bgs0VlcwxiCk0d0z2ceHg7ozJ3V7PX9cgzdn2cB0eeNMXs0PIrh9WekSPz/g+tLX+8RhTvhxwDPCKKX0bNZ26hz8hQErB0ctoR6S0UGn/fjWJalyc/86cRHL3XOaahJuj3CgRsQKIl8gIJEGGFvrBKy3i/ds6z5391X5sv7LW0VEq4CwLUTqjEtmaownJg+us34PdO5Zigycq7zlN1l3aqV1rA7ASgiCAAIROrsfeCUc/Vka4QvPVmcqZTHK27CuD1b+ur/uka079JZwTcLqqgC7Url7JuvYOIcRx9eUHPiRgNUfgqotb4+xIkRuJPCzH1vgTd0v64NrvZaEJrEhCW5Y2GLDgAOndiS+QxoSRdO2XxLvh08qpadKrH/+6O/jcoQqIDG/H7gqYXU+34VjPazp3686Q782ZgM0f3axqgVyP7wAQOs49Qmc+qdZop/U2L4c/SI8saKCtRqrPeRST1WpneTowYTSvtVF3F0urZ7AW9OjlLXdT3RoRFu6uWcVfynTi18n6t07d5Bjp3tx27ZcvyeKBKcTbk3p3ulDJyb3kxXsfbYAw+qbqdkgqYN/ELt9afVEcdfBFz1Pr5kS7/2Qs1Ee//MjenT1rNQ9+HM7dqH6jFdrH3LuI3bHWTeVzsz7Vu4lL9vEYfvr7pmkwQv+B3pOuHIhcRxSExcYuIINakERG9apIP88ch8ht5OVsPVGWeJnjvHWe9bzM3/9wKvMkhw3X8wsBtTfmbnfEDwgYGhCxJIznbTZIJycYPPzKztRH7p0n1NJROEv/2MxemBLV5ZjoN/k1dNyXn1+zF/ilsVSiFGp/6ITrAc9I8alObuvyJPiGrpOJEL7c8tFKft66Snx74TgnMQuNiCUwX0pFQsQ0H1eyVZkCztcfhDeOOitTFSPLfcguDwNZyEJms3jwBDThy3rH5ZPS5dZyE5lQQP3HRAc0HtUSCfn7p5JKvjpHwgnCP35+67JH7bkMA4hr5Fy9VJD/cjuRX0gCPlZ4SuL54aABTC0lfDjgfQdEHbg576LwDq9SQM59Uh+Nj7lZPev5WwcsiPTqz5+WH2GvRniiyBXZf3ZswHv5/UfttNrvHX/jQWr+nFSdXw9hjoNB1Y0yLUDYfPo+gWxyNp1YdCh4Qut3HRw/t/Tx5L33NeJo93+H5qLxbnwt9slFUcU9gH1xtdRjQnd3YNLx3nOGU2rP+5580yqjxd1hL8sXIywOlZ+ma7GxsoZHgvWFSb0qHg/ELz292PtBw7zMVNkkhW6tRzn4Iu7tvb61utATMMB6zRWX0gLEZ23ms6+lLC0W0GK7dfWZ/T2HFvW6qN3y5b2YxaIEBaZeCUbEj0cVqzHOYcRVsBYfSry5plU3dAesfqEMQhJ3jAP6yrSWd/YkkPwu8sYepyNYugLn11Y2K/ff0wxWZBa34GzvlEGH1fwEYEKdgqNgSjM0nDgyxQpctAvaSz+0jkjsUazO4wihEtG8WPIJFyMvPVzVHPAMUrMOA4uO+qeN8+k6r6oY/xsQWoQb8Zz9h5geFJuX+76sPro2uv5Kjjt/QTKtfI9dJcWwv6ltV+H9lnQny99YtWHlZSdvHkmextfryHgnGXodNUfVnzuBCfaZWLXJEWwsCezOdere86OUF24opD8MLnqw14eaoORvcMXeQ1DDegRb881aQ6EFw4ovShWvJrCLwfCpfCEigB6T+VuhBBCGEo0aQ4EOgeAffnpwuMyTbhGdefIlyvPDBqBPnc9P0cO+MVg5Nhl2F8hpjtj48/lT432KsRaq2fRx1eXAwjP/KttkL+sekpYrDWFPw4ExFuD4SakiO9RY/sPETqkr+3mvjUE9yhFcG9SEVUI/7y67W9BeIJAT8SuW3BKtxpvVDvr0dd21j6s51DmX2NkJBiPgP7uDd05vkP8cxHaClezpMVrsy45vdn0xOT+7J/73A8PUVpw/YrIFFLEd+gklV7yZfBtwOIT4o6FsVllKdFKcANShM8NLOgw3AB53RvyFSXe3jfCT+EnuvroDbG2A2WqOqPoe/rueGqH/v5hFyVFsNwrrwZV5ssxILbt8PFUiO9PXYRV+vJwYdXmzold4h4FtygAliTKX1GGghfBgRFtGOpunCA2AVbv2J+9Td9WV/PxtZ2r/uA/u+uzyiYyvKt61vIb+1YLUj0ilhBeCy+EPYPedvC1hQsaEK3uM4oT3MOUA721n4h2bkV8h5tQoBNcoOD+04LTVHRmv8v4MZ6vnwAPV3nkLhOV3ZtngWCqybHjsPgDJR7oU0CJP8eRWSEhWNbbTD4gKTcANlKTfUN7/3WMhnF4rDvypl1RNiQhnBWYnnBNA3SgPygghKdCfEe8dniihHnekOgetQo+PWco3eLw03R1ehKAUBIxWlHKCq3o7N/fB6FLuXg4X9s5607cidizIf07vZzddlr2iP0/D418TzBQEUcPEJaMjQdw0MFdDq19jpwUI2lajqln8IfsxZ32ExELgfjeiNGMwhMhnhwwbck5xBEWbRBceRAZ1IsDBrwlO0p8Oo6AAsAKXJeAHh8SGgoMAY6w6vlmOsE9Bdxeq2Ip2en9rMD5uerLm3aIaQf0H9KZMI6I38iPXYV+TuEF8d3Zk8KIdZEd9aNxlBW26opUpNMFdm53Rr62c9YXyuBOBKENf05vCdFUTzmyCIECioCbmrRITcZa3WaiT6l7+ujIAQX84Vgavq7gygOB5S1QB57OV5R4O2eAIzBx20UBU65oAXUGxB5oPIdUOiNf2znry5ey52t2X1pzmzMMkYZQS1DUmPFkywf/SVUelaHfsrb5XqDTABIC/E0gGyG+OgOHEKKuM0JEzIXlv4tjdpIib0lY4dkFwzkZ2V6pnqpia9HLqbbXGKke8fSPb10WAIvUVTsGA+FQdcPieIexR+E6lSBXGQdHcsDqwXn/xq7lEihg/4HwtZ0/n+H67qD4eWCuWikWI9WDoAaIky6P9Va4Pz/JDuZf/nNSIloQ441YaCASHeGka9+sPE2AnmvGuXCA0O4OUd4ZIz7nKCSEVmJN93P97BJS+B1HAwE+LjHjSX5ZI7PZzBMqvFkxAE98RYm3PwqAPq7fe0JleFtt9ccELB/CZJdzXDy252qVrNr72k61D+0x1MIzTbWOEpoJYwNg3JQwTMXb1c2dv2YYtcUyR6DLP2QQkfwcVij6NM4ECQQjYEc6IxgsAIYM4GLAsSEmO3W1TpzwrLeEYibMU9YUngAxvs0gvwjjvH/+MB2f8JHEcWPsKM9QlKxjhBb53dqXOkeaDFC0hMG3cMgFhGd+dPNisJBKX9upcf1xfPgsfDW6be7R4geFCqr7/hgrUPqAczeMBq0mHWTH7eg0jsP2QNjOInzyBAtXldrCHaK8s+dBqo4CQ7dydMwTFp7cJ4cuIl672Hf/ChrQlzWCWnlChbf3HVrkd3t/ob32B0o85qDQ5JPHe264UnMDLCAiqS4yQrzdwd7Xdqrv0B5DLTzhNoTY570MnAukIpUHB+hGCVgniFhogFlgxRmP46URbQSwiZgpM8uW0N0DoJ6VYHWzAh/jHtLiAiC40JCNIpgQiYMVLjJBXuG8RtZ0E6ovrFBDg/yu+rEeARgMcgZ4rLJWPr51NZjw9LWddezQngsavZO5P593UAx3aMcJtPaVcySm0pw4DLq27WduCzAI5gjAjq+epcLwhCjv7JmwQsrEsHLXGUxEEVZRWHVayRMqvLUuzkOL/G7vL7TXoUWJV+Mr4BSEYdpJeSZghW4Xnr62s4/h67Xj2/SxF4BIxE6bm91zVkoKCxgWLq2ZzGkumkuPWP0ByAJQcEjcdmXDDMGvBCZlaOnyhlkCGAIAEUVAVwJaOtJUOKPQIL876w9l0BEKWVx5ggp4ehzHD3KWjM3XdqpvfxyBqi8YojZzsZp3DCdJ5PwxbiD00YpRiiA8kf4CqEq7z93h7TVR4Wehft4gyvvyHN6gwivBofr3J/K76jM0x9CixKux4z2z+IPvdlIA0imd4Hf62s4+hq/XfhGeGBwuLMghDqNJyvItxMigXHhwH1vX0/O+oZv71lKqyu0ECV2lwcB9XwluM3CvyfdpEH6oN/2EBvndVf9I3QFSeKXWevBjjcJ+qXbcTdTxtZ21/9Cex+C5P7xyStQo1r4wb1BIjE/W9uHhHNBnwJWcw9kfkbQMOXiQ99tKviDKW9s7O/cGFd5ZO38jvzsbw9syrAT9gRKfJmEQNgbcvuwEyz0S5cEzwE6+trP34+u134Rn0hLv0MnpX3AenCmc4yYqp3poIEdMDBblQ7904PxDZyUjI5K8YWXqD8KqFrpTpCtWGR5VvwA1tjp5q/LQIL+rPuxHyafOaoWHDB1nJSBKwR8ybsb81mLz3Nd2Zgd+OEHyOahVHrAAtfJQYQbY1Sd+GDJgukBOm2YM2Iu8OFh9Ljl4TfSTaoJhhSjvDSq8HRQjLJDf1XP6cvQXSjzyFPFXh04yQpOVgAqP7Xp+hrFzRr62c9aXL2XBlQy+9MJtADeX/PUGghkJjEyAEytCigpk0UzARh4IThBy4gBx3h1BnwqyAiUbT4N+nRAJAYr9LPnbqdmDHdDpYa0/NeNLqWP/JzTI7/a+1DVSZCQuWJVX3PvYMPQcSxNo7wYjuycpWktVlaNCew9pO6g9/EVqDinKB6lXkCnTSshwipTQcbMUtha/cufIpggfxy//OSVGIivK0QJOI+wLorzKvQ4IOxA+r4zoJyoBXHuDCo96VgoL5Hdr/96eK7T3kKLEK17Yx0nBq8qq7IO5j/NDwXdUEfBRoeetlccxig0+qbC+h7Sd6tdfR7+tPDEhfAn/396VQEdVZNGCgIxhS1iFhBBJANk3ZQZRwGFxY1MRFUdBFBREEBEdcBhFHAcR5YhssiiOIIPD6lGWM4gCjuIKCBIIYYcAgYABCQKKc+/rVPj9+3f/RrpDd6x3Tvdfa/mvu19X1Xvv3gMrpitS2XIqqIWhOhRy8pBClxzndPTIORCNEXuyJMJk7IjvpVKuVkURynR47QIVi7AZ/tg1URppeOPqtoJD6F61f8nrwiGU9so9kgpJg8Xwm/rDFksb9rdwIb8ngLmTBoghVVciyJxy4L/TJCyLyxpa7GjvwZY7sGKG8ETRSNd+dLquznGrPeQaecp+k70PNO5Zq99VCYho4Npsbma6ON1qD5gRNDOnvY1oOSb3d0f8QBeCMpjhSVYJBlHejvjO8q1T4oTG+EnwwpOaeC4AkX+AIeV/PjN52gMI2A0V3toP7nMN9Lciv9vr8nesPegMHXISK9o76X+DRYmfsfaAenbZLjGS04Egb5dBrRKEKnjCp/sFUJnXp4HCmODJvRAsr4VGs+2kDRKIvwrspsGW0+VDuQ3ZyJOdYvYJR5d2D3dZGLk4oMxz+rpz1nAYxFKSwcKxOhHKz4F4bcv4Xl6I70yB5Gg24ZbHcP2k2o4QpWOg2k3qNhy84eWEDO3sj0cF/Lju4HcRIlQZ5HJrJEyJhjP1gXGqBPh6ClKYVVRnyBwBaN6A9MjNr/aQJYvUPuO9Yj/taO/BlpM1SPz6iANAYGN/shsj7h1A5accT1+rMqYPEtpn6/32PqQiZIy57Bueay8g0ztnP6Oqdx8h7ADWcoV1nz/Q+uAwIpWFVTSifDYQ4YkoXwocQsyi4TSTCOXLtxxTL6/0pBAS8Z1o8ZS7mlQULiLmag9DmiHR1UlC9sfqpRVjTDlvIio8s5PIjURUeJLQ1a4Um48KLxUV4BvjXp+CsaeQy2kQeJG+RRSCVaxo7zxPlPiuoMkgSvz9s9LUM+CFckKJ59ol/ziWYiTvBMXXAPnmc+6voz5K/wEpohtUD7Becslk/B2pXrGfRJpnH+hpP4NpfbDlrM8Qqv2LRpK3d+QsAsUJuuuUzM8pZ753GQXtx/a69DFBM4hWz3qZB84pkMfpo+/wTItIAcJ2PRzs+HaHSfYvmaj2zH8R5GwrZUTs1AyNWwxI1JziTHm/E9o7z7uV45LA5pfvlLb1sgbL/RZx6gNH90w0cKL40G3s++A1tRextYzZDXY9NBKR5PXz6O1R/Cid0OR53Y4gbz/Wddi3jEUkqRu/l2S41PS31vv8ocJb7wnVfo1Ra1U7jHqn3uU7+gu2DSvauy4TDEo8p+R3ztysVj7aCGmS/n+fNK5lQYvizznGpAVO3e2flVs59jVp5Ofq5jrl1RvdvcMg9XM4bcOGJG9vTK9p2s/z2Go4nY6dyvBczOXnRwN0RjmpnV9OJwR1f3WG4ry/UCjW7RSWZG3TX18DlRNK4PkkfbsfI1nPerC1zgvdd+oDuYkCGU62QSK+wij2H6P1Ga3roDxvP7bea91PQE61FifDyWv+UOF1uVBvj/vhhQ+2HSvauy7jhhJP588/MSrnOmkgw8n6AiH783qcHwg/t3LMGoPNDZmEdM0zZL2K8IoYPM7wqG0AzSiZ3FCVqd3Ci6kyXN1nlhLz1onWdClk27QBcN79KDzufH7SnxiJLg2QGZRpjUQ+YtD+6E41xPES7qcg2tKfMeLtZHP+hLtd1s815nnrD0vWWEmAhOhIh4tt2xjP36BBUhfzVdDCKXKw0+Rw9K1mnwnhqNbUWYAaWDf06gJs7XxTpAHm61II0ZT4CrWYoUOoNWrqMxowGvhdaMAYz9/Fx2we0mjAaCDUGojqafvJ3RtVNsJ2jm1Yoco1vUlV6/xEqPUTtvpOg/Ezc+kkn/qr3tQPDpuqcl4g/IAWpYWgKJWuu1sfmm2Ua4BedoburACy+SogsqcNax5VT0Se9MUIz9Ly4J+qCOe6PuZ2yv8ylY4d5TERq/oDwb4wSFSPPJlHTgi63L3A+GQQWRTJZWUrA/vzOkGiIqUFX1XaP5RvOPkoDIYnSj2vMcogvlH7KHpC01U3DZyA8WSs4kowal6sB9ytrXBcb4qYWAbJL950ROgteoNGw56ffkejCsJHRPoLxmh2aVAhHF25JHVGtfEkHUS0jsSI+F6uyY2qVv+pwLHzhB1lf/2h95cA4VcM+OczJgP27/dOtuatnOg/YmhNj2aVBe8zGp+GwMXXJJVRHet60ie3Zp1Sgxdt93oU5uc/fK0nWeXx1ok+sHJeN0fZQVQbT+q6SNGoXnlQhPOr1mWIfG32LhorACf6O8R0zJ9P5qjkHi/oU2ZbCDVQGGg86iN7isKMqglrPMDg+qPS7JwMkypMEhVPQ0T5rDXvimGJTbgK+es3S157oA+CwCDZoOYgRUhMiZIILL9PlWvcIb9INsBKuKZI7h5mJPFaXP02cp3o7lmr50jZoihbonwiRn5/zy8b6h2SrnHdljn/GW8Olpz8M0czwbr5srpq4NuSpqrbDEQ3UtD91n0y28AaYPbNdOR2f4GUR+yqG5Cq2RXTV+bU+xM36g+uI84BfB5jNksiZZQEZ3+/MTm/uiWbs8WQ5SAgvnp8CdUBoTpMEQ2X3IbnIY3GZKxxjv5oj6qHVFeNxK+TWjCR8pJvsGa64LvDQn1CsGj2L5qm9RFvPAlgwVTAmg9PAqxbQ5U27i8q7ZV/AdpuEUZt13h9GPrg+Lav1Pcv3Sa0IEm3Pw0wjZGKYMmNX/hE8u9PZHyN3O+hqvGLawT0Iu21ngKEoY3ntqkDZD2yzuDZggZFChEn48lUxoMYHboJkZ8IYuJPmC1EnifSBdOAZi6foo5v+Qxc8N0ApHJtfjE3upFg+51fodkJuwaYxtn97c2qIXK3J3arpWgweryTJk6if/es67d9N+qPAfO2CZXu7PvqCOoT79fGk46cochRXzOwsYotHqN6zk5T6Vm5jsaTBv1bC+K9vw71QmaQvwwpXWZYuyRBRlq1PUc9iv4RxCQZdCdO8jYokAkUMhqI/f1aJihSIvdnGTjQLiR10qnugjoX0caTHmkCVFTt8LBMb6mUqjc+ImAXdBL5M56Ev6MDiYRmTDeMb3CDOvTxTIwkN4jxPAwke6THSIojaTM4bT4Bg0s5fWQf9r/MH4XSoJZOdQ4s/vXsGcEwlYIB3q5o+0BA48miBFVJAiHerjkjBErvMnjcaz0yJb9WN7qRuHptgu53fqVmJ+waGAvwkK0wXAseqCfGpzVGVwQf4TnmZ1sJz3Rn3Kg/9iFf/ss9J/KNIUdsV+ch37MOZtNwlBeDNyIxDbmhmiA86fqt22UwVlOBXuQmBDpxM55MuyTh3a1TN0o2Dx1IH/RpoOz0GuSHGrl8l7oDgCKatvlvHaoLCAmn/XPXZQFYpZJbly759Yg2nkfWLhTcTysiPfebT9iaTzTnpMHEToNkGk60ohMYyR385B257cyxTNmWqtFUHcI5jvTITx6PKbtmhySyewnwlnO0y6lzta5DVa2+viFFrIg5980nZ0idgd5owIMRGtksIPHn7t8CaLj+Xjn9bnQjF9LvYPpi7rl4DRDAhpS6La8s62V4Fj9YXzzPToaTrbpRf5Cwrhqm6WOA5pQJEI2hMI40WlqaJpZS7wDYucOU7wQBqgPQ8utd4VmT1Pfo7XAQ0z0FrvRAQhxROyWIv/uZd/4myPQ6TtuIP4hT6vGFGWqKpW8sR4N9+udfVVPQnliFyxlf7D6hlm4+GhXGM6IdRqeAKUkhhYVVNEOn9Zx1n8bq51M56rtRNwtGJUeeVqnQvLOqCODm09kYFUzojaWAHurcWQ/YBQFGyAJK5shDq2apdcNaqqPrl1uLe+0TNcntFSyIB9suVtrjubQTyVnpRkg5wleTf6xWTUd/Job2Qvvt9RDmICwa4AjxFODmytgcJSSIczNGpP7g+uHtb34va5pk4NTCz/rVrimqItZMiX7fcvw6yd/W10mh3B0Yomy/95ytskzwExdbHaR4TFEx1jTY/l5ufbVXS1g9QtVRPoQhJEanVTjypNiBlZpXLyPnNUWJHETwW0SPPIuAaZNyDGyXlyN43CpENCoW61G29Tz36QhKn9JPOOSvgKMoJ+1Tr1uIRp/ae5xMzXfPfR6gv6tV+qS+qt7T8wV/s3RKU9Vo5AoBHj7yxSKVMWOQ4IcyLtMqZAXdhvVQNyE4NPtxMeJGN0Lw6WD7fTH9MGWD1wANE+VjxHESVUgf8xyn5pxWE43ILm7UH7zOUduKfo1k3XARAtUHYYRHZPXr4LTh9XG3pcq0nhihq7EG2Xduuprfu569KfWf9VlqCQycm7wGY2j/EwhUhrBvgxGaNG7VPqE4sd5bvqTH7HDp4R6EamnRJG+BHGn63kjY+n5ykdCrvD7EJtSRvcOfzQNPkYeMjCdywLezd+FLeXf5bvYvnYg1z3OKI0yKJmXT1B0EZCYuZoXmXVRDGMnYavVkHZVYpOQ92gWDWrxMBVWz70SV0musrJ+SrtguHAGc+eGQTO85xff3EmZKe2F/xw7sm7zVjW7kQvrtr2lzPrQaYBxnPKax9HgTpV4LjduAeRlKI9Dr83rrRv1BvvfnsWZIIzOxW001tkuK5IgsA3oQZTgAiYmdSc/1iv4NxfNNcONjABC2CxHjOfV3e7HP/oRQb7n4M7ALwZ65ZGAXspRS2CerbABzKcW6fmu9Hmn7ET3yrHT93Spz2WRZA9z4wq1CsXFyz/cqFxQeNHoUK3WHVq6O/dyzYAy81S0Q8gMDCGHY0tF1y/FF+wVZO28peuKJP1q6RhOhB2Y2Dw1d9pfvq8ROjwvbZVzDdlK2dKqvZ59T64Yjlsj1UL3RGFP0VtfrRjdCjM1g+63rNNvwa+CJNolqxNJdasji7WIsGPP4PjJy7sWIKyne44nWRpRkZ+UxXXej/iDf0vtg+2TQOVkl29XyhCBdk+c0+gVrrW/Be/102yQVj/ZorEjh6xRnSSoNvi5GMo6cUsyWsgsHF5y+d5y2SfEeLQRjZljTmh05GPVmq1vyguzJFRUPmLxoSd+MaOMZA573uqC14LT5x53r1X4gmJdMqq/qPjlXjN7BlTOFL4gfCp1LnMYn3f5XldhxoNo+80msd84CP/x2ldrndZU+8SGVs2kVwp0ay0iSKY9cU40BOv1ZGKyUnmPyqTLI9rnpxc5CQUF0+irt+/gQuOkvQqi2hz+fL7TNPx3aIVVy9Jy7f6tKRL5+bNWa+XQjWyf3FboRUo7QSaTpRogKfyn6HarnL6z1kN6DNBucvs5dd1g8zwOuT1ADwdlz4PhpUHTsRO73GXn8PnO3quduSlaa+mMljAmpP3o1ryyOH4b2kPpj1C3JigayMzA528IQcQ2xT4sqkirJinBJ0iXT4bCJAyL7oRNn1ZjOKY6e/YvR+1d7jqtRWBb4Ji/UqTOcRG/cVQv56+cBoAkaTQcSPfBWYTjSsA92qMfmZ4Cx9JikqaYdzFULsbTgD+zYWj4S9kNOwxGuhyL/0a/nzmE0WDGoJoi6TsoO8iBRuH/ul7Pi3KFziKNGUl4UgXOpeOnzWH9sg5QfNES8/gcE0DOVMlKESw9OdCOR3u9ooOEI52dM4rJ9CGynp9y69hmoTTvVhz4W9khMo2lAST1BJk6r5/4nGGs6eXjtMoxSAyHkB2o/lNe41MAIAY5GrUIuIoZtkQNej8St1yNhv8BoOML1sBea1y0cR3kOJ/aJwBoxeFG0J9uJ8oKGskhRT2iRE02FVHAJ3/jlc+pXpPf7EqosIpqmh91fwLi/DtqpPvQxDeVlea5qJ0oM7R13o6Xw1244zvszjFzGaJHsHU0TjvbDUWfkDKnC8XSmTqMBowGjgTBpwBjPMCnWVGs0YDRQuDVgjGfh/nzN0xkNGA2ESQPGeIZJsaZaowGjgcKtAWM8C/fna57OaMBoIEwaMMYzTIo11RoNGA0Ubg34DZInYIYRo4FQaqB26zahrM6xLuaQJzz7ueM1c9JoIJQa8DGexYoVU++9914o2zB1GQ2IBipVCi9GY6tWrcx313zXwqKBZs2a+dTrk2Hkc4c5YTRgNGA0YDTgowGz5umjEnPCaMBowGjAXQPGeLrryNxhNGA0YDTgowFjPH1UYk4YDRgNGA24a+D/GsvTHnlPMqEAAAAASUVORK5CYII=\n", "text/plain": [ "" ] }, "execution_count": 44, "metadata": {}, "output_type": "execute_result" } ], "source": [ "graph3 = print_tree(clf, features=['V_mag', 'Period_days'], class_names=['No', 'Yes'])\n", "Image(graph3.create_png())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Let us include all the steps above in a function" ] }, { "cell_type": "code", "execution_count": 56, "metadata": {}, "outputs": [], "source": [ "def dtclassify(allclasses,class1,class2,var1,var2):\n", " vars2 = allclasses[ allclasses['Var_Type'].isin([class1,class2]) ]\n", " Y = vars2['Var_Type'].values\n", " Y = np.array([1 if y==6 else 0 for y in Y])\n", "# X = vars2.drop('Var_Type',1).as_matrix()\n", " X = vars2.drop('Var_Type',1)\n", "# vars2['target'] = (vars2['Var_Type'].values==class1)*1\n", " vars2.loc[:,('target')] = Y\n", " \n", " # Create test/train mask\n", " itrain, itest = train_test_split(range(vars2.shape[0]), train_size=0.6)\n", " mask=np.ones(vars2.shape[0], dtype='int')\n", " mask[itrain]=1\n", " mask[itest]=0\n", " mask = (mask==1)\n", " \n", " print(\"% Class \",class1,\" objects in Training:\", np.mean(vars2.target[mask]), np.std((vars2.target[mask])))\n", " print(\"% Class \",class2,\" objects in Testing:\", np.mean(vars2.target[~mask]), np.std((vars2.target[~mask])))\n", " \n", " clfTree1 = tree.DecisionTreeClassifier(max_depth=3, criterion='gini')\n", "\n", " subdf=vars2[[var1, var2]]\n", " X=subdf.values\n", "# y=(vars2['target'].values==1)*1\n", "# print('y is ',y[:10])\n", " y = vars2.loc[:,('target')].values==1*1\n", "# print('y is ',y[:10])\n", "\n", " # TRAINING AND TESTING\n", " Xtrain, Xtest, ytrain, ytest = X[mask], X[~mask], y[mask], y[~mask]\n", "\n", " # FIT THE TREE \n", " clf=clfTree1.fit(Xtrain, ytrain)\n", "\n", " training_accuracy = clf.score(Xtrain, ytrain)\n", " test_accuracy = clf.score(Xtest, ytest)\n", " print(\"############# based on standard predict ################\")\n", " print(\"Accuracy on training data: %0.2f\" % (training_accuracy))\n", " print(\"Accuracy on test data: %0.2f\" % (test_accuracy))\n", " print(confusion_matrix(ytest, clf.predict(Xtest)))\n", " print(\"########################################################\")\n", " \n", " display_dt(clf)\n", " return [clf,var1,var2]\n", " \n", "# graph3 = print_tree(clf, features=[var1, var2], class_names=['No', 'Yes'])\n", "# Image(graph3.create_png())\n", " \n" ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [], "source": [ "# A generic function to do CV\n", "\n", "def cv_optimize(clf, parameters, X, y, n_jobs=1, n_folds=5, score_func=None):\n", " if score_func:\n", " gs = GridSearchCV(clf, param_grid=parameters, cv=n_folds, n_jobs=n_jobs, scoring=score_func)\n", " else:\n", " gs = GridSearchCV(clf, param_grid=parameters, n_jobs=n_jobs, cv=n_folds)\n", " gs.fit(X, y)\n", "\n", " best = gs.best_estimator_\n", " return best" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### First try it again with variables we have already tried" ] }, { "cell_type": "code", "execution_count": 57, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "% Class 6 objects in Training: 0.5034843205574913 0.49998785936285584\n", "% Class 13 objects in Testing: 0.5274151436031331 0.4992478441628156\n", "y is [1 0 1 1 0 0 1 1 0 0]\n", "y is [ True False True True False False True True False False]\n", "############# based on standard predict ################\n", "Accuracy on training data: 1.00\n", "Accuracy on test data: 1.00\n", "[[181 0]\n", " [ 0 202]]\n", "########################################################\n", "digraph Tree {\n", "node [shape=box] ;\n", "0 [label=\"X[1] <= 40.071\\ngini = 0.5\\nsamples = 100.0%\\nvalue = [0.497, 0.503]\"] ;\n", "1 [label=\"gini = 0.0\\nsamples = 50.3%\\nvalue = [0.0, 1.0]\"] ;\n", "0 -> 1 [labeldistance=2.5, labelangle=45, headlabel=\"True\"] ;\n", "2 [label=\"gini = 0.0\\nsamples = 49.7%\\nvalue = [1.0, 0.0]\"] ;\n", "0 -> 2 [labeldistance=2.5, labelangle=-45, headlabel=\"False\"] ;\n", "}\n" ] }, { "data": { "text/plain": [ "[DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',\n", " max_depth=3, max_features=None, max_leaf_nodes=None,\n", " min_impurity_decrease=0.0, min_impurity_split=None,\n", " min_samples_leaf=1, min_samples_split=2,\n", " min_weight_fraction_leaf=0.0, presort='deprecated',\n", " random_state=None, splitter='best'),\n", " 'V_mag',\n", " 'Period_days']" ] }, "execution_count": 57, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dtclassify(vars6,6,13,'V_mag','Period_days')" ] }, { "cell_type": "code", "execution_count": 58, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "execution_count": 58, "metadata": {}, "output_type": "execute_result" } ], "source": [ "graph3 = print_tree(clf, features=['V_mag', 'Period_days'], class_names=['No', 'Yes'])\n", "Image(graph3.create_png())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### And now with other classes and variables\n", "### unbalanced classes in this case" ] }, { "cell_type": "code", "execution_count": 69, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "% Class 6 objects in Training: 0.263782866836302 0.4406829540609922\n", "% Class 8 objects in Testing: 0.22900763358778625 0.42019416624497474\n", "y is [0 0 0 0 0 1 1 1 0 0]\n", "y is [False False False False False True True True False False]\n", "############# based on standard predict ################\n", "Accuracy on training data: 0.83\n", "Accuracy on test data: 0.80\n", "[[484 122]\n", " [ 34 146]]\n", "########################################################\n", "digraph Tree {\n", "node [shape=box] ;\n", "0 [label=\"X[1] <= 0.285\\ngini = 0.388\\nsamples = 100.0%\\nvalue = [0.736, 0.264]\"] ;\n", "1 [label=\"X[1] <= 0.185\\ngini = 0.125\\nsamples = 63.2%\\nvalue = [0.933, 0.067]\"] ;\n", "0 -> 1 [labeldistance=2.5, labelangle=45, headlabel=\"True\"] ;\n", "2 [label=\"X[1] <= 0.03\\ngini = 0.027\\nsamples = 37.6%\\nvalue = [0.986, 0.014]\"] ;\n", "1 -> 2 ;\n", "3 [label=\"gini = 0.0\\nsamples = 0.1%\\nvalue = [0.0, 1.0]\"] ;\n", "2 -> 3 ;\n", "4 [label=\"gini = 0.022\\nsamples = 37.5%\\nvalue = [0.989, 0.011]\"] ;\n", "2 -> 4 ;\n", "5 [label=\"X[1] <= 0.255\\ngini = 0.249\\nsamples = 25.6%\\nvalue = [0.854, 0.146]\"] ;\n", "1 -> 5 ;\n", "6 [label=\"gini = 0.192\\nsamples = 18.9%\\nvalue = [0.892, 0.108]\"] ;\n", "5 -> 6 ;\n", "7 [label=\"gini = 0.378\\nsamples = 6.7%\\nvalue = [0.747, 0.253]\"] ;\n", "5 -> 7 ;\n", "8 [label=\"X[0] <= 17.23\\ngini = 0.479\\nsamples = 36.8%\\nvalue = [0.399, 0.601]\"] ;\n", "0 -> 8 [labeldistance=2.5, labelangle=-45, headlabel=\"False\"] ;\n", "9 [label=\"X[1] <= 0.375\\ngini = 0.459\\nsamples = 32.6%\\nvalue = [0.357, 0.643]\"] ;\n", "8 -> 9 ;\n", "10 [label=\"gini = 0.497\\nsamples = 15.5%\\nvalue = [0.464, 0.536]\"] ;\n", "9 -> 10 ;\n", "11 [label=\"gini = 0.384\\nsamples = 17.0%\\nvalue = [0.259, 0.741]\"] ;\n", "9 -> 11 ;\n", "12 [label=\"X[0] <= 18.235\\ngini = 0.403\\nsamples = 4.2%\\nvalue = [0.72, 0.28]\"] ;\n", "8 -> 12 ;\n", "13 [label=\"gini = 0.46\\nsamples = 3.3%\\nvalue = [0.641, 0.359]\"] ;\n", "12 -> 13 ;\n", "14 [label=\"gini = 0.0\\nsamples = 0.9%\\nvalue = [1.0, 0.0]\"] ;\n", "12 -> 14 ;\n", "}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/aam/miniconda3/lib/python3.6/site-packages/pandas/core/indexing.py:845: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " self.obj[key] = _infer_fill_value(value)\n", "/Users/aam/miniconda3/lib/python3.6/site-packages/pandas/core/indexing.py:966: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " self.obj[item] = s\n" ] } ], "source": [ "[clf,var1,var2] = dtclassify(vars6,6,8,'V_mag','Amplitude')" ] }, { "cell_type": "code", "execution_count": 60, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "execution_count": 60, "metadata": {}, "output_type": "execute_result" } ], "source": [ "graph3 = print_tree(clf, features=[var1, var2], class_names=['No', 'Yes'])\n", "Image(graph3.create_png())" ] }, { "cell_type": "code", "execution_count": 61, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',\n", " max_depth=3, max_features=None, max_leaf_nodes=None,\n", " min_impurity_decrease=0.0, min_impurity_split=None,\n", " min_samples_leaf=1, min_samples_split=2,\n", " min_weight_fraction_leaf=0.0, presort='deprecated',\n", " random_state=None, splitter='best')" ] }, "execution_count": 61, "metadata": {}, "output_type": "execute_result" } ], "source": [ "clf" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Lets look at features derived from light curves now, and use them to see if we can separate CVs and Blazars\n", "### This is a different dataset than before" ] }, { "cell_type": "code", "execution_count": 62, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " source_id id2 RA Dec \\\n", "0 CSS071112:024457+352249 6012213501311032988 41.239291 35.380553 \n", "1 CSS071112:085823-003729 5120100104811037790 134.595171 -0.624753 \n", "2 CSS071115:044216-002334 5102700102611041321 70.566770 -0.392723 \n", "3 CSS071206:060031-105208 7120600903211011601 90.129114 -10.868934 \n", "4 CSS071214:090904+091714 5053110904911006068 137.268268 9.287025 \n", "\n", " gl gb amplitude beyond1std fpr_mid20 fpr_mid35 ... \\\n", "0 187.866217 -21.512745 1.221016 0.333333 0.105355 0.271527 ... \n", "1 106.148755 28.031224 1.878562 0.130435 0.077322 0.203941 ... \n", "2 138.476707 -27.998158 1.231619 0.285714 0.179818 0.268211 ... \n", "3 118.681166 -15.655362 0.242655 0.400000 0.049581 0.086766 ... \n", "4 114.739275 35.243473 1.225036 0.153846 0.060842 0.190844 ... \n", "\n", " percent_amplitude pdfp skew kurtosis std magratio \\\n", "0 0.819420 1.479632 1.023488 0.083616 0.680993 0.500000 \n", "1 0.949115 1.369243 1.425266 0.807734 1.062428 0.478261 \n", "2 1.246233 1.931750 0.630285 -0.572244 0.732951 0.500000 \n", "3 0.407943 0.416313 -1.161945 -0.114912 0.166090 0.400000 \n", "4 0.845035 1.310212 1.534900 0.971967 0.774822 0.461538 \n", "\n", " data_num npeaks peakstats Var_Type \n", "0 18 0 0.0 0 \n", "1 23 0 0.0 0 \n", "2 28 1 0.0 0 \n", "3 5 0 0.0 0 \n", "4 13 0 0.0 0 \n", "\n", "[5 rows x 28 columns]" ] }, "execution_count": 62, "metadata": {}, "output_type": "execute_result" } ], "source": [ "features = pd.read_csv(featuresfile,\n", " header=1,\n", " sep=',',\n", " skipinitialspace=True,)\n", "\n", "\n", "features.columns = ['source_id', 'id2', 'RA', 'Dec', 'gl', 'gb', \n", " 'amplitude', 'beyond1std', 'fpr_mid20', 'fpr_mid35', \n", " 'fpr_mid50', 'fpr_mid65', 'fpr_mid80', 'linear_trend', \n", " 'max_slope', 'med_abs_dev', 'med_buf_range_per', 'pair_slope_trend', \n", " 'percent_amplitude', 'pdfp', 'skew', 'kurtosis', 'std', 'magratio', \n", " 'data_num', 'npeaks', 'peakstats', 'Var_Type']\n", "features.head()" ] }, { "cell_type": "code", "execution_count": 63, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "% Class 0 objects in Training: 0.0 0.0\n", "% Class 1 objects in Testing: 0.0 0.0\n", "y is [0 0 0 0 0 0 0 0 0 0]\n", "y is [False False False False False False False False False False]\n", "############# based on standard predict ################\n", "Accuracy on training data: 1.00\n", "Accuracy on test data: 1.00\n", "[[234]]\n", "########################################################\n", "digraph Tree {\n", "node [shape=box] ;\n", "0 [label=\"gini = 0.0\\nsamples = 100.0%\\nvalue = 350.0\"] ;\n", "}\n" ] } ], "source": [ "[clf,var1,var2] = dtclassify(features,0,1,'amplitude','beyond1std')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### That was no classification at all! All objects were declared to be in the same class." ] }, { "cell_type": "code", "execution_count": 64, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "execution_count": 64, "metadata": {}, "output_type": "execute_result" } ], "source": [ "graph3 = print_tree(clf, features=[var1, var2], class_names=['No', 'Yes'])\n", "Image(graph3.create_png())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## We will now use Random forests instead of individual trees" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Random Forests\n", "\n", "Random forests works by aggregating the results from a number of randomly perturbed decision trees constructed to explain the data.\n", "\n", "### A bit on bootstrap aggregation\n", "The idea of random forests arises naturally by first considering Tree bagging. In tree bagging we do the following $b$ times:\n", "\n", "1. Take a random subsample of your data\n", "2. Build a classification (or regression) tree like in the previous section\n", "3. repeat\n", "\n", "For a new data point we can then simply run that point through all the $b$ trees constructed, get all the decisions $\\hat{Y}_1,..., \\hat{Y}_b$ and take a majority vote. This form of averaging gets rid of some of the over-fitting issues found in just using one tree. Plus fitting these trees costs a lot computationally, so what else can we do?\n", "\n", "### Leads to Random Forests?\n", "This method is very similar to the bootstrap aggregation method. However, as the name suggests some extra randomness is injected into the building of the trees. It turns out that the trees that are build from the random subsample of your data are quite similar, so the solution is quite simple. In Random Forests we do the following $b$ times:\n", "\n", "1. Take a random subsample of your data\n", "2. randomly select a subset of predictors to be used in building the tree\n", "3. Build a classification (or regression) tree with only those variables selected in 2\n", "4. repeat\n", "\n", "We take a majority vote the same as before. Have a look at the help page for the [Random Forest Classifier](http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html), we'll be optimizing two options: `n_estimators` - the number of trees in the forest, `max_features` - the number of features to consider when looking for the best split (step 2 above)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Select appropriate variables\n", "### Note that a couple of variables chosen here are perhaps not good variables" ] }, { "cell_type": "code", "execution_count": 65, "metadata": {}, "outputs": [ { "ename": "NameError", "evalue": "name 'Xnames' is not defined", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mXnames\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[0;31mNameError\u001b[0m: name 'Xnames' is not defined" ] } ], "source": [ "Xnames" ] }, { "cell_type": "code", "execution_count": 66, "metadata": {}, "outputs": [], "source": [ "Xnames = list(features.columns.values[4:-1])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Like before we will define a training set of 60%" ] }, { "cell_type": "code", "execution_count": 68, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/aam/miniconda3/lib/python3.6/site-packages/sklearn/ensemble/_forest.py:523: UserWarning: Some inputs do not have OOB scores. This probably means too few trees were used to compute any reliable oob estimates.\n", " warn(\"Some inputs do not have OOB scores. \"\n", "/Users/aam/miniconda3/lib/python3.6/site-packages/sklearn/ensemble/_forest.py:528: RuntimeWarning: invalid value encountered in true_divide\n", " predictions[k].sum(axis=1)[:, np.newaxis])\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "10\n", "############# based on standard predict ################\n", "Accuracy on training data: 0.99\n", "Accuracy on test data: 0.85\n", "[[173 7]\n", " [ 29 25]]\n", "########################################################\n", "using mask\n", "############# based on standard predict ################\n", "Accuracy on training data: 1.00\n", "Accuracy on test data: 0.89\n", "[[175 5]\n", " [ 21 33]]\n", "########################################################\n", "13\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/aam/miniconda3/lib/python3.6/site-packages/sklearn/ensemble/_forest.py:523: UserWarning: Some inputs do not have OOB scores. This probably means too few trees were used to compute any reliable oob estimates.\n", " warn(\"Some inputs do not have OOB scores. \"\n", "/Users/aam/miniconda3/lib/python3.6/site-packages/sklearn/ensemble/_forest.py:528: RuntimeWarning: invalid value encountered in true_divide\n", " predictions[k].sum(axis=1)[:, np.newaxis])\n", "/Users/aam/miniconda3/lib/python3.6/site-packages/sklearn/ensemble/_forest.py:523: UserWarning: Some inputs do not have OOB scores. This probably means too few trees were used to compute any reliable oob estimates.\n", " warn(\"Some inputs do not have OOB scores. \"\n", "/Users/aam/miniconda3/lib/python3.6/site-packages/sklearn/ensemble/_forest.py:528: RuntimeWarning: invalid value encountered in true_divide\n", " predictions[k].sum(axis=1)[:, np.newaxis])\n" ] } ], "source": [ "clfForest = RandomForestClassifier(n_estimators=10, oob_score=True, max_features='auto')\n", "features['target'] = features['Var_Type']\n", "\n", "subdf=features[Xnames]\n", "X=subdf.values\n", "y=(features['target'].values==1)*1\n", "\n", "# Create test/train mask\n", "itrain, itest = train_test_split(range(features.shape[0]), train_size=0.6)\n", "mask=np.ones(features.shape[0], dtype='int')\n", "mask[itrain]=1\n", "mask[itest]=0\n", "mask = (mask==1)\n", " \n", "\n", "# TRAINING AND TESTING\n", "Xtrain, Xtest, ytrain, ytest = X[mask], X[~mask], y[mask], y[~mask]\n", "\n", "# FIT THE TREE \n", "clf=clfForest.fit(Xtrain, ytrain)\n", "\n", "print(clfForest.n_estimators)\n", "\n", "training_accuracy = clfForest.score(Xtrain, ytrain)\n", "test_accuracy = clfForest.score(Xtest, ytest)\n", "print(\"############# based on standard predict ################\")\n", "print(\"Accuracy on training data: %0.2f\" % (training_accuracy))\n", "print(\"Accuracy on test data: %0.2f\" % (test_accuracy))\n", "print(confusion_matrix(ytest, clf.predict(Xtest)))\n", "print(\"########################################################\")\n", "\n", "parameters = {\"n_estimators\": list(range(1, 20))}\n", "clfForest, Xtrain, ytrain, Xtest, ytest = do_classify(clfForest, parameters, \n", " features, Xnames, 'target', 1, mask=mask, \n", " n_jobs = 4, score_func='f1')\n", "print(clfForest.n_estimators)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### That was not great, but who said classification was easy?\n", "### Try with other classes, perhaps get other features, and of yes, a larger training sample with less sparse light curves." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "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": "3.6.8" } }, "nbformat": 4, "nbformat_minor": 2 }