2822 lines
879 KiB
Plaintext
2822 lines
879 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "3415114e-9577-4487-89eb-4931620ad9f0",
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"metadata": {},
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"source": [
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"# Predict Sales"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 24,
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"id": "f271eb45-1470-4764-8c2e-31374efa1fe5",
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"import numpy as np\n",
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"import os\n",
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"import s3fs\n",
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"import re\n",
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"from sklearn.linear_model import LogisticRegression\n",
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"from sklearn.ensemble import RandomForestClassifier\n",
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"from sklearn.metrics import accuracy_score, confusion_matrix, classification_report, recall_score\n",
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"from sklearn.utils import class_weight\n",
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"from sklearn.neighbors import KNeighborsClassifier\n",
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"from sklearn.pipeline import Pipeline\n",
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"from sklearn.compose import ColumnTransformer\n",
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"from sklearn.calibration import calibration_curve\n",
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"from sklearn.preprocessing import OneHotEncoder\n",
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"from sklearn.impute import SimpleImputer\n",
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"from sklearn.model_selection import GridSearchCV\n",
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"from sklearn.preprocessing import StandardScaler, MaxAbsScaler, MinMaxScaler\n",
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"from sklearn.metrics import make_scorer, f1_score, balanced_accuracy_score\n",
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"import seaborn as sns\n",
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"import matplotlib.pyplot as plt\n",
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"from sklearn.metrics import roc_curve, auc, precision_recall_curve, average_precision_score\n",
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"from sklearn.exceptions import ConvergenceWarning, DataConversionWarning\n",
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"\n",
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"import pickle\n",
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"import warnings\n",
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"#import scikitplot as skplt"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "3fecb606-22e5-4dee-8efa-f8dff0832299",
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"metadata": {},
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"outputs": [],
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"source": [
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"warnings.filterwarnings('ignore')\n",
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"warnings.filterwarnings(\"ignore\", category=ConvergenceWarning)\n",
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"warnings.filterwarnings(\"ignore\", category=DataConversionWarning)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "ae591854-3003-4c75-a0c7-5abf04246e81",
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"metadata": {},
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"source": [
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"### Load Data"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "59dd4694-a812-4923-b995-a2ee86c74f85",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Create filesystem object\n",
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"S3_ENDPOINT_URL = \"https://\" + os.environ[\"AWS_S3_ENDPOINT\"]\n",
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"fs = s3fs.S3FileSystem(client_kwargs={'endpoint_url': S3_ENDPOINT_URL})"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "017f7e9a-3ba0-40fa-bdc8-51b98cc1fdb3",
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"metadata": {},
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"outputs": [],
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"source": [
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"def load_train_test():\n",
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" BUCKET = \"projet-bdc2324-team1/Generalization/sport\"\n",
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" File_path_train = BUCKET + \"/Train_set.csv\"\n",
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" File_path_test = BUCKET + \"/Test_set.csv\"\n",
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" \n",
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" with fs.open( File_path_train, mode=\"rb\") as file_in:\n",
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" dataset_train = pd.read_csv(file_in, sep=\",\")\n",
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" # dataset_train['y_has_purchased'] = dataset_train['y_has_purchased'].fillna(0)\n",
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"\n",
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" with fs.open(File_path_test, mode=\"rb\") as file_in:\n",
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" dataset_test = pd.read_csv(file_in, sep=\",\")\n",
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" # dataset_test['y_has_purchased'] = dataset_test['y_has_purchased'].fillna(0)\n",
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" \n",
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" return dataset_train, dataset_test"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "c479b230-b4bd-4cfb-b76b-d9faf6d95772",
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"metadata": {},
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"outputs": [],
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"source": [
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"dataset_train, dataset_test = load_train_test()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "c24c446d-4e1c-4ac1-a048-f0b8d8559f36",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"customer_id 0\n",
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"nb_tickets 0\n",
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"nb_purchases 0\n",
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"total_amount 0\n",
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"nb_suppliers 0\n",
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"vente_internet_max 0\n",
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"purchase_date_min 0\n",
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"purchase_date_max 0\n",
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"time_between_purchase 0\n",
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"nb_tickets_internet 0\n",
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"street_id 0\n",
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"structure_id 222825\n",
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"mcp_contact_id 70874\n",
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"fidelity 0\n",
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"tenant_id 0\n",
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"is_partner 0\n",
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"deleted_at 224213\n",
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"gender 0\n",
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"is_email_true 0\n",
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"opt_in 0\n",
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"last_buying_date 66139\n",
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"max_price 66139\n",
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"ticket_sum 0\n",
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"average_price 66023\n",
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"average_purchase_delay 66139\n",
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"average_price_basket 66139\n",
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"average_ticket_basket 66139\n",
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"total_price 116\n",
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"purchase_count 0\n",
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"first_buying_date 66139\n",
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"country 23159\n",
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"gender_label 0\n",
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"gender_female 0\n",
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"gender_male 0\n",
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"gender_other 0\n",
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"country_fr 23159\n",
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"nb_campaigns 0\n",
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"nb_campaigns_opened 0\n",
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"time_to_open 123159\n",
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"y_has_purchased 0\n",
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"dtype: int64"
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"dataset_train.isna().sum()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "825d14a3-6967-4733-bfd4-64bf61c2bd43",
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"metadata": {},
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"outputs": [],
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"source": [
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"def features_target_split(dataset_train, dataset_test):\n",
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" features_l = ['nb_tickets', 'nb_purchases', 'total_amount', 'nb_suppliers', 'vente_internet_max', 'purchase_date_min', 'purchase_date_max', \n",
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" 'time_between_purchase', 'nb_tickets_internet', 'fidelity', 'is_email_true', 'opt_in', #'is_partner',\n",
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" 'gender_female', 'gender_male', 'gender_other', 'nb_campaigns', 'nb_campaigns_opened']\n",
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" X_train = dataset_train[features_l]\n",
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" y_train = dataset_train[['y_has_purchased']]\n",
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"\n",
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" X_test = dataset_test[features_l]\n",
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" y_test = dataset_test[['y_has_purchased']]\n",
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" return X_train, X_test, y_train, y_test"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"id": "69eaec12-b30f-4d30-a461-ea520d5cbf77",
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"metadata": {},
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"outputs": [],
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"source": [
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"X_train, X_test, y_train, y_test = features_target_split(dataset_train, dataset_test)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"id": "d039f31d-0093-46c6-9743-ddec1381f758",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Shape train : (224213, 17)\n",
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"Shape test : (96096, 17)\n"
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]
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}
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],
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"source": [
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"print(\"Shape train : \", X_train.shape)\n",
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"print(\"Shape test : \", X_test.shape)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "a1d6de94-4e11-481a-a0ce-412bf29f692c",
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"metadata": {},
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"source": [
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"### Prepare preprocessing and Hyperparameters"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"id": "b808da43-c444-4e94-995a-7ec6ccd01e2d",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{0.0: 0.5837086520288036, 1.0: 3.486549107420539}"
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]
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},
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"# Compute Weights\n",
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"weights = class_weight.compute_class_weight(class_weight = 'balanced', classes = np.unique(y_train['y_has_purchased']),\n",
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" y = y_train['y_has_purchased'])\n",
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"\n",
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"weight_dict = {np.unique(y_train['y_has_purchased'])[i]: weights[i] for i in range(len(np.unique(y_train['y_has_purchased'])))}\n",
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"weight_dict"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"id": "b32a79ea-907f-4dfc-9832-6c74bef3200c",
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"metadata": {},
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"outputs": [],
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"source": [
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"numeric_features = ['nb_tickets', 'nb_purchases', 'total_amount', 'nb_suppliers', 'vente_internet_max', 'purchase_date_min', 'purchase_date_max', \n",
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" 'time_between_purchase', 'nb_tickets_internet', 'is_email_true', 'opt_in', #'is_partner',\n",
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" 'gender_female', 'gender_male', 'gender_other', 'nb_campaigns', 'nb_campaigns_opened']\n",
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"\n",
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"numeric_transformer = Pipeline(steps=[\n",
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" #(\"imputer\", SimpleImputer(strategy=\"mean\")), \n",
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" (\"scaler\", StandardScaler()) \n",
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"])\n",
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"\n",
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"categorical_features = ['opt_in'] \n",
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"\n",
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"# Transformer for the categorical features\n",
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"categorical_transformer = Pipeline(steps=[\n",
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" #(\"imputer\", SimpleImputer(strategy=\"most_frequent\")), # Impute missing values with the most frequent\n",
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" (\"onehot\", OneHotEncoder(handle_unknown='ignore', sparse_output=False))\n",
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"])\n",
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"\n",
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"preproc = ColumnTransformer(\n",
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" transformers=[\n",
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" (\"num\", numeric_transformer, numeric_features),\n",
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" (\"cat\", categorical_transformer, categorical_features)\n",
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" ]\n",
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")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"id": "9809a688-bfbc-4685-a77f-17a8b2b79ab3",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Set loss\n",
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"balanced_scorer = make_scorer(balanced_accuracy_score)\n",
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"recall_scorer = make_scorer(recall_score)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 26,
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"id": "4f9b2bbf-5f8a-4ac1-8e6c-51bd0dd8ac85",
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"metadata": {},
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"outputs": [],
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"source": [
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"def draw_confusion_matrix(y_test, y_pred):\n",
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" conf_matrix = confusion_matrix(y_test, y_pred)\n",
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" sns.heatmap(conf_matrix, annot=True, fmt='d', cmap='Blues', xticklabels=['Class 0', 'Class 1'], yticklabels=['Class 0', 'Class 1'])\n",
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" plt.xlabel('Predicted')\n",
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" plt.ylabel('Actual')\n",
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" plt.title('Confusion Matrix')\n",
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" plt.show()\n",
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"\n",
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"\n",
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"def draw_roc_curve(X_test, y_test):\n",
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" y_pred_prob = pipeline.predict_proba(X_test)[:, 1]\n",
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"\n",
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" # Calcul des taux de faux positifs (FPR) et de vrais positifs (TPR)\n",
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" fpr, tpr, thresholds = roc_curve(y_test, y_pred_prob, pos_label=1)\n",
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" \n",
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" # Calcul de l'aire sous la courbe ROC (AUC)\n",
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" roc_auc = auc(fpr, tpr)\n",
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" \n",
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" plt.figure(figsize = (14, 8))\n",
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" plt.plot(fpr, tpr, label=\"ROC curve(area = %0.3f)\" % roc_auc)\n",
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" plt.plot([0, 1], [0, 1], color=\"red\",label=\"Random Baseline\", linestyle=\"--\")\n",
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" plt.grid(color='gray', linestyle='--', linewidth=0.5)\n",
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" plt.xlabel(\"False Positive Rate\")\n",
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" plt.ylabel(\"True Positive Rate\")\n",
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" plt.title(\"ROC Curve\", size=18)\n",
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" plt.legend(loc=\"lower right\")\n",
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" plt.show()\n",
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"\n",
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"\n",
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"def draw_calibration_curve(X_test, y_test):\n",
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" y_pred_prob = pipeline.predict_proba(X_test)[:, 1]\n",
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" frac_pos, mean_pred = calibration_curve(y_test, y_pred_prob, n_bins=10)\n",
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"\n",
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" # Plot the calibration curve\n",
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" plt.plot(mean_pred, frac_pos, 's-', label='Logistic Regression')\n",
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" plt.plot([0, 1], [0, 1], 'k--', label='Perfectly calibrated')\n",
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" plt.xlabel('Mean predicted value')\n",
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" plt.ylabel('Fraction of positive predictions')\n",
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" plt.title(\"Calibration Curve\")\n",
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" plt.legend()\n",
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" plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 35,
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"id": "cf400c70-0192-42cc-9919-f61bae8382b0",
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"metadata": {},
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"outputs": [],
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"source": [
|
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"def draw_features_importance(pipeline, model, randomF = False):\n",
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" if randomF:\n",
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" coefficients = pipeline.named_steps[model].feature_importances_\n",
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" else: \n",
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" coefficients = pipeline.named_steps[model].coef_[0]\n",
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" \n",
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" feature_names = pipeline.named_steps[model].feature_names_in_\n",
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" \n",
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" # Tracer l'importance des caractéristiques\n",
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" plt.figure(figsize=(10, 6))\n",
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" plt.barh(feature_names, coefficients, color='skyblue')\n",
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" plt.xlabel(\"Features' Importance\")\n",
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" plt.ylabel('Caractéristiques')\n",
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" plt.title(\"Features' Importance\")\n",
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" plt.grid(True)\n",
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" plt.show()\n",
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"\n",
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"def draw_prob_distribution(X_test):\n",
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" y_pred_prob = pipeline.predict_proba(X_test)[:, 1]\n",
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" plt.figure(figsize=(8, 6))\n",
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" plt.hist(y_pred_prob, bins=10, range=(0, 1), color='blue', alpha=0.7)\n",
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" \n",
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" plt.xlim(0, 1)\n",
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" plt.ylim(0, None)\n",
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" \n",
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" plt.title('Histogramme des probabilités pour la classe 1')\n",
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" plt.xlabel('Probabilité')\n",
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" plt.ylabel('Fréquence')\n",
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" plt.grid(True)\n",
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" plt.show()\n"
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]
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},
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{
|
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"cell_type": "code",
|
|
"execution_count": 15,
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|
"id": "206d9a95-7c37-4506-949b-e77d225e42c5",
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"metadata": {},
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|
"outputs": [],
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"source": [
|
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"# Hyperparameter\n",
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"param_grid = {'logreg__C': np.logspace(-10, 6, 17, base=2),\n",
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" 'logreg__penalty': ['l1', 'l2'],\n",
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" 'logreg__class_weight': ['balanced', weight_dict]} "
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]
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},
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{
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|
"cell_type": "code",
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|
"execution_count": 16,
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|
"id": "7ff2f7bd-efc1-4f7c-a3c9-caa916aa2f2b",
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"metadata": {},
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|
"outputs": [
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|
{
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|
"data": {
|
|
"text/html": [
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"<style>#sk-container-id-1 {\n",
|
|
" /* Definition of color scheme common for light and dark mode */\n",
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" --sklearn-color-text: black;\n",
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|
" --sklearn-color-line: gray;\n",
|
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" /* Definition of color scheme for unfitted estimators */\n",
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|
" --sklearn-color-unfitted-level-0: #fff5e6;\n",
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" --sklearn-color-unfitted-level-1: #f6e4d2;\n",
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" --sklearn-color-unfitted-level-2: #ffe0b3;\n",
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" --sklearn-color-unfitted-level-3: chocolate;\n",
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" /* Definition of color scheme for fitted estimators */\n",
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" --sklearn-color-fitted-level-0: #f0f8ff;\n",
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" --sklearn-color-fitted-level-1: #d4ebff;\n",
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" --sklearn-color-fitted-level-2: #b3dbfd;\n",
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" --sklearn-color-fitted-level-3: cornflowerblue;\n",
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"\n",
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|
" /* Specific color for light theme */\n",
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|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-icon: #696969;\n",
|
|
"\n",
|
|
" @media (prefers-color-scheme: dark) {\n",
|
|
" /* Redefinition of color scheme for dark theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-icon: #878787;\n",
|
|
" }\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 pre {\n",
|
|
" padding: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 input.sk-hidden--visually {\n",
|
|
" border: 0;\n",
|
|
" clip: rect(1px 1px 1px 1px);\n",
|
|
" clip: rect(1px, 1px, 1px, 1px);\n",
|
|
" height: 1px;\n",
|
|
" margin: -1px;\n",
|
|
" overflow: hidden;\n",
|
|
" padding: 0;\n",
|
|
" position: absolute;\n",
|
|
" width: 1px;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-dashed-wrapped {\n",
|
|
" border: 1px dashed var(--sklearn-color-line);\n",
|
|
" margin: 0 0.4em 0.5em 0.4em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" padding-bottom: 0.4em;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-container {\n",
|
|
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
|
|
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
|
|
" so we also need the `!important` here to be able to override the\n",
|
|
" default hidden behavior on the sphinx rendered scikit-learn.org.\n",
|
|
" See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
|
|
" display: inline-block !important;\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-text-repr-fallback {\n",
|
|
" display: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-parallel-item,\n",
|
|
"div.sk-serial,\n",
|
|
"div.sk-item {\n",
|
|
" /* draw centered vertical line to link estimators */\n",
|
|
" background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
|
|
" background-size: 2px 100%;\n",
|
|
" background-repeat: no-repeat;\n",
|
|
" background-position: center center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Parallel-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-parallel-item::after {\n",
|
|
" content: \"\";\n",
|
|
" width: 100%;\n",
|
|
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
|
|
" flex-grow: 1;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-parallel {\n",
|
|
" display: flex;\n",
|
|
" align-items: stretch;\n",
|
|
" justify-content: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-parallel-item {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
|
|
" align-self: flex-end;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
|
|
" align-self: flex-start;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
|
|
" width: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Serial-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-serial {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
" align-items: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" padding-right: 1em;\n",
|
|
" padding-left: 1em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"\n",
|
|
"/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
|
|
"clickable and can be expanded/collapsed.\n",
|
|
"- Pipeline and ColumnTransformer use this feature and define the default style\n",
|
|
"- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
|
|
"*/\n",
|
|
"\n",
|
|
"/* Pipeline and ColumnTransformer style (default) */\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-toggleable {\n",
|
|
" /* Default theme specific background. It is overwritten whether we have a\n",
|
|
" specific estimator or a Pipeline/ColumnTransformer */\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable label */\n",
|
|
"#sk-container-id-1 label.sk-toggleable__label {\n",
|
|
" cursor: pointer;\n",
|
|
" display: block;\n",
|
|
" width: 100%;\n",
|
|
" margin-bottom: 0;\n",
|
|
" padding: 0.5em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" text-align: center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
|
|
" /* Arrow on the left of the label */\n",
|
|
" content: \"▸\";\n",
|
|
" float: left;\n",
|
|
" margin-right: 0.25em;\n",
|
|
" color: var(--sklearn-color-icon);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable content - dropdown */\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-toggleable__content {\n",
|
|
" max-height: 0;\n",
|
|
" max-width: 0;\n",
|
|
" overflow: hidden;\n",
|
|
" text-align: left;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-toggleable__content pre {\n",
|
|
" margin: 0.2em;\n",
|
|
" border-radius: 0.25em;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
|
|
" /* Expand drop-down */\n",
|
|
" max-height: 200px;\n",
|
|
" max-width: 100%;\n",
|
|
" overflow: auto;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
|
|
" content: \"▾\";\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Pipeline/ColumnTransformer-specific style */\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific style */\n",
|
|
"\n",
|
|
"/* Colorize estimator box */\n",
|
|
"#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
|
|
"#sk-container-id-1 div.sk-label label {\n",
|
|
" /* The background is the default theme color */\n",
|
|
" color: var(--sklearn-color-text-on-default-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover, darken the color of the background */\n",
|
|
"#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Label box, darken color on hover, fitted */\n",
|
|
"#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator label */\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-label label {\n",
|
|
" font-family: monospace;\n",
|
|
" font-weight: bold;\n",
|
|
" display: inline-block;\n",
|
|
" line-height: 1.2em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-label-container {\n",
|
|
" text-align: center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific */\n",
|
|
"#sk-container-id-1 div.sk-estimator {\n",
|
|
" font-family: monospace;\n",
|
|
" border: 1px dotted var(--sklearn-color-border-box);\n",
|
|
" border-radius: 0.25em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" margin-bottom: 0.5em;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-estimator.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* on hover */\n",
|
|
"#sk-container-id-1 div.sk-estimator:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
|
|
"\n",
|
|
"/* Common style for \"i\" and \"?\" */\n",
|
|
"\n",
|
|
".sk-estimator-doc-link,\n",
|
|
"a:link.sk-estimator-doc-link,\n",
|
|
"a:visited.sk-estimator-doc-link {\n",
|
|
" float: right;\n",
|
|
" font-size: smaller;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1em;\n",
|
|
" height: 1em;\n",
|
|
" width: 1em;\n",
|
|
" text-decoration: none !important;\n",
|
|
" margin-left: 1ex;\n",
|
|
" /* unfitted */\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted,\n",
|
|
"a:link.sk-estimator-doc-link.fitted,\n",
|
|
"a:visited.sk-estimator-doc-link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Span, style for the box shown on hovering the info icon */\n",
|
|
".sk-estimator-doc-link span {\n",
|
|
" display: none;\n",
|
|
" z-index: 9999;\n",
|
|
" position: relative;\n",
|
|
" font-weight: normal;\n",
|
|
" right: .2ex;\n",
|
|
" padding: .5ex;\n",
|
|
" margin: .5ex;\n",
|
|
" width: min-content;\n",
|
|
" min-width: 20ex;\n",
|
|
" max-width: 50ex;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" box-shadow: 2pt 2pt 4pt #999;\n",
|
|
" /* unfitted */\n",
|
|
" background: var(--sklearn-color-unfitted-level-0);\n",
|
|
" border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted span {\n",
|
|
" /* fitted */\n",
|
|
" background: var(--sklearn-color-fitted-level-0);\n",
|
|
" border: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link:hover span {\n",
|
|
" display: block;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
|
|
"\n",
|
|
"#sk-container-id-1 a.estimator_doc_link {\n",
|
|
" float: right;\n",
|
|
" font-size: 1rem;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1rem;\n",
|
|
" height: 1rem;\n",
|
|
" width: 1rem;\n",
|
|
" text-decoration: none;\n",
|
|
" /* unfitted */\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 a.estimator_doc_link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"#sk-container-id-1 a.estimator_doc_link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[('preprocessor',\n",
|
|
" ColumnTransformer(transformers=[('num',\n",
|
|
" Pipeline(steps=[('scaler',\n",
|
|
" StandardScaler())]),\n",
|
|
" ['nb_tickets', 'nb_purchases',\n",
|
|
" 'total_amount',\n",
|
|
" 'nb_suppliers',\n",
|
|
" 'vente_internet_max',\n",
|
|
" 'purchase_date_min',\n",
|
|
" 'purchase_date_max',\n",
|
|
" 'time_between_purchase',\n",
|
|
" 'nb_tickets_internet',\n",
|
|
" 'is_email_true', 'opt_in',\n",
|
|
" 'gender_female',\n",
|
|
" 'gender_male',\n",
|
|
" 'gender_other',\n",
|
|
" 'nb_campaigns',\n",
|
|
" 'nb_campaigns_opened']),\n",
|
|
" ('cat',\n",
|
|
" Pipeline(steps=[('onehot',\n",
|
|
" OneHotEncoder(handle_unknown='ignore',\n",
|
|
" sparse_output=False))]),\n",
|
|
" ['opt_in'])])),\n",
|
|
" ('logreg',\n",
|
|
" LogisticRegression(class_weight={0.0: 0.5837086520288036,\n",
|
|
" 1.0: 3.486549107420539},\n",
|
|
" max_iter=5000, solver='saga'))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" ><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow \"> Pipeline<a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.pipeline.Pipeline.html\">?<span>Documentation for Pipeline</span></a><span class=\"sk-estimator-doc-link \">i<span>Not fitted</span></span></label><div class=\"sk-toggleable__content \"><pre>Pipeline(steps=[('preprocessor',\n",
|
|
" ColumnTransformer(transformers=[('num',\n",
|
|
" Pipeline(steps=[('scaler',\n",
|
|
" StandardScaler())]),\n",
|
|
" ['nb_tickets', 'nb_purchases',\n",
|
|
" 'total_amount',\n",
|
|
" 'nb_suppliers',\n",
|
|
" 'vente_internet_max',\n",
|
|
" 'purchase_date_min',\n",
|
|
" 'purchase_date_max',\n",
|
|
" 'time_between_purchase',\n",
|
|
" 'nb_tickets_internet',\n",
|
|
" 'is_email_true', 'opt_in',\n",
|
|
" 'gender_female',\n",
|
|
" 'gender_male',\n",
|
|
" 'gender_other',\n",
|
|
" 'nb_campaigns',\n",
|
|
" 'nb_campaigns_opened']),\n",
|
|
" ('cat',\n",
|
|
" Pipeline(steps=[('onehot',\n",
|
|
" OneHotEncoder(handle_unknown='ignore',\n",
|
|
" sparse_output=False))]),\n",
|
|
" ['opt_in'])])),\n",
|
|
" ('logreg',\n",
|
|
" LogisticRegression(class_weight={0.0: 0.5837086520288036,\n",
|
|
" 1.0: 3.486549107420539},\n",
|
|
" max_iter=5000, solver='saga'))])</pre></div> </div></div><div class=\"sk-serial\"><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" ><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow \"> preprocessor: ColumnTransformer<a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.compose.ColumnTransformer.html\">?<span>Documentation for preprocessor: ColumnTransformer</span></a></label><div class=\"sk-toggleable__content \"><pre>ColumnTransformer(transformers=[('num',\n",
|
|
" Pipeline(steps=[('scaler', StandardScaler())]),\n",
|
|
" ['nb_tickets', 'nb_purchases', 'total_amount',\n",
|
|
" 'nb_suppliers', 'vente_internet_max',\n",
|
|
" 'purchase_date_min', 'purchase_date_max',\n",
|
|
" 'time_between_purchase',\n",
|
|
" 'nb_tickets_internet', 'is_email_true',\n",
|
|
" 'opt_in', 'gender_female', 'gender_male',\n",
|
|
" 'gender_other', 'nb_campaigns',\n",
|
|
" 'nb_campaigns_opened']),\n",
|
|
" ('cat',\n",
|
|
" Pipeline(steps=[('onehot',\n",
|
|
" OneHotEncoder(handle_unknown='ignore',\n",
|
|
" sparse_output=False))]),\n",
|
|
" ['opt_in'])])</pre></div> </div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" ><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow \">num</label><div class=\"sk-toggleable__content \"><pre>['nb_tickets', 'nb_purchases', 'total_amount', 'nb_suppliers', 'vente_internet_max', 'purchase_date_min', 'purchase_date_max', 'time_between_purchase', 'nb_tickets_internet', 'is_email_true', 'opt_in', 'gender_female', 'gender_male', 'gender_other', 'nb_campaigns', 'nb_campaigns_opened']</pre></div> </div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" ><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label sk-toggleable__label-arrow \"> StandardScaler<a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.preprocessing.StandardScaler.html\">?<span>Documentation for StandardScaler</span></a></label><div class=\"sk-toggleable__content \"><pre>StandardScaler()</pre></div> </div></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-5\" type=\"checkbox\" ><label for=\"sk-estimator-id-5\" class=\"sk-toggleable__label sk-toggleable__label-arrow \">cat</label><div class=\"sk-toggleable__content \"><pre>['opt_in']</pre></div> </div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-6\" type=\"checkbox\" ><label for=\"sk-estimator-id-6\" class=\"sk-toggleable__label sk-toggleable__label-arrow \"> OneHotEncoder<a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.preprocessing.OneHotEncoder.html\">?<span>Documentation for OneHotEncoder</span></a></label><div class=\"sk-toggleable__content \"><pre>OneHotEncoder(handle_unknown='ignore', sparse_output=False)</pre></div> </div></div></div></div></div></div></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-7\" type=\"checkbox\" ><label for=\"sk-estimator-id-7\" class=\"sk-toggleable__label sk-toggleable__label-arrow \"> LogisticRegression<a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.linear_model.LogisticRegression.html\">?<span>Documentation for LogisticRegression</span></a></label><div class=\"sk-toggleable__content \"><pre>LogisticRegression(class_weight={0.0: 0.5837086520288036,\n",
|
|
" 1.0: 3.486549107420539},\n",
|
|
" max_iter=5000, solver='saga')</pre></div> </div></div></div></div></div></div>"
|
|
],
|
|
"text/plain": [
|
|
"Pipeline(steps=[('preprocessor',\n",
|
|
" ColumnTransformer(transformers=[('num',\n",
|
|
" Pipeline(steps=[('scaler',\n",
|
|
" StandardScaler())]),\n",
|
|
" ['nb_tickets', 'nb_purchases',\n",
|
|
" 'total_amount',\n",
|
|
" 'nb_suppliers',\n",
|
|
" 'vente_internet_max',\n",
|
|
" 'purchase_date_min',\n",
|
|
" 'purchase_date_max',\n",
|
|
" 'time_between_purchase',\n",
|
|
" 'nb_tickets_internet',\n",
|
|
" 'is_email_true', 'opt_in',\n",
|
|
" 'gender_female',\n",
|
|
" 'gender_male',\n",
|
|
" 'gender_other',\n",
|
|
" 'nb_campaigns',\n",
|
|
" 'nb_campaigns_opened']),\n",
|
|
" ('cat',\n",
|
|
" Pipeline(steps=[('onehot',\n",
|
|
" OneHotEncoder(handle_unknown='ignore',\n",
|
|
" sparse_output=False))]),\n",
|
|
" ['opt_in'])])),\n",
|
|
" ('logreg',\n",
|
|
" LogisticRegression(class_weight={0.0: 0.5837086520288036,\n",
|
|
" 1.0: 3.486549107420539},\n",
|
|
" max_iter=5000, solver='saga'))])"
|
|
]
|
|
},
|
|
"execution_count": 16,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Pipeline\n",
|
|
"pipeline = Pipeline(steps=[\n",
|
|
" ('preprocessor', preproc),\n",
|
|
" ('logreg', LogisticRegression(solver='saga', class_weight = weight_dict,\n",
|
|
" max_iter=5000, n_jobs=-1)) \n",
|
|
"])\n",
|
|
"\n",
|
|
"pipeline.set_output(transform=\"pandas\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "ed415f60-9663-4179-877b-233faf6e1645",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Baseline"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 17,
|
|
"id": "2b467511-2ae5-4a16-a502-397c3460471d",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<style>#sk-container-id-2 {\n",
|
|
" /* Definition of color scheme common for light and dark mode */\n",
|
|
" --sklearn-color-text: black;\n",
|
|
" --sklearn-color-line: gray;\n",
|
|
" /* Definition of color scheme for unfitted estimators */\n",
|
|
" --sklearn-color-unfitted-level-0: #fff5e6;\n",
|
|
" --sklearn-color-unfitted-level-1: #f6e4d2;\n",
|
|
" --sklearn-color-unfitted-level-2: #ffe0b3;\n",
|
|
" --sklearn-color-unfitted-level-3: chocolate;\n",
|
|
" /* Definition of color scheme for fitted estimators */\n",
|
|
" --sklearn-color-fitted-level-0: #f0f8ff;\n",
|
|
" --sklearn-color-fitted-level-1: #d4ebff;\n",
|
|
" --sklearn-color-fitted-level-2: #b3dbfd;\n",
|
|
" --sklearn-color-fitted-level-3: cornflowerblue;\n",
|
|
"\n",
|
|
" /* Specific color for light theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-icon: #696969;\n",
|
|
"\n",
|
|
" @media (prefers-color-scheme: dark) {\n",
|
|
" /* Redefinition of color scheme for dark theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-icon: #878787;\n",
|
|
" }\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 pre {\n",
|
|
" padding: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 input.sk-hidden--visually {\n",
|
|
" border: 0;\n",
|
|
" clip: rect(1px 1px 1px 1px);\n",
|
|
" clip: rect(1px, 1px, 1px, 1px);\n",
|
|
" height: 1px;\n",
|
|
" margin: -1px;\n",
|
|
" overflow: hidden;\n",
|
|
" padding: 0;\n",
|
|
" position: absolute;\n",
|
|
" width: 1px;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-dashed-wrapped {\n",
|
|
" border: 1px dashed var(--sklearn-color-line);\n",
|
|
" margin: 0 0.4em 0.5em 0.4em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" padding-bottom: 0.4em;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-container {\n",
|
|
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
|
|
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
|
|
" so we also need the `!important` here to be able to override the\n",
|
|
" default hidden behavior on the sphinx rendered scikit-learn.org.\n",
|
|
" See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
|
|
" display: inline-block !important;\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-text-repr-fallback {\n",
|
|
" display: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-parallel-item,\n",
|
|
"div.sk-serial,\n",
|
|
"div.sk-item {\n",
|
|
" /* draw centered vertical line to link estimators */\n",
|
|
" background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
|
|
" background-size: 2px 100%;\n",
|
|
" background-repeat: no-repeat;\n",
|
|
" background-position: center center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Parallel-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-parallel-item::after {\n",
|
|
" content: \"\";\n",
|
|
" width: 100%;\n",
|
|
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
|
|
" flex-grow: 1;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-parallel {\n",
|
|
" display: flex;\n",
|
|
" align-items: stretch;\n",
|
|
" justify-content: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-parallel-item {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-parallel-item:first-child::after {\n",
|
|
" align-self: flex-end;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-parallel-item:last-child::after {\n",
|
|
" align-self: flex-start;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-parallel-item:only-child::after {\n",
|
|
" width: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Serial-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-serial {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
" align-items: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" padding-right: 1em;\n",
|
|
" padding-left: 1em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"\n",
|
|
"/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
|
|
"clickable and can be expanded/collapsed.\n",
|
|
"- Pipeline and ColumnTransformer use this feature and define the default style\n",
|
|
"- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
|
|
"*/\n",
|
|
"\n",
|
|
"/* Pipeline and ColumnTransformer style (default) */\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-toggleable {\n",
|
|
" /* Default theme specific background. It is overwritten whether we have a\n",
|
|
" specific estimator or a Pipeline/ColumnTransformer */\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable label */\n",
|
|
"#sk-container-id-2 label.sk-toggleable__label {\n",
|
|
" cursor: pointer;\n",
|
|
" display: block;\n",
|
|
" width: 100%;\n",
|
|
" margin-bottom: 0;\n",
|
|
" padding: 0.5em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" text-align: center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 label.sk-toggleable__label-arrow:before {\n",
|
|
" /* Arrow on the left of the label */\n",
|
|
" content: \"▸\";\n",
|
|
" float: left;\n",
|
|
" margin-right: 0.25em;\n",
|
|
" color: var(--sklearn-color-icon);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable content - dropdown */\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-toggleable__content {\n",
|
|
" max-height: 0;\n",
|
|
" max-width: 0;\n",
|
|
" overflow: hidden;\n",
|
|
" text-align: left;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-toggleable__content.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-toggleable__content pre {\n",
|
|
" margin: 0.2em;\n",
|
|
" border-radius: 0.25em;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-toggleable__content.fitted pre {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
|
|
" /* Expand drop-down */\n",
|
|
" max-height: 200px;\n",
|
|
" max-width: 100%;\n",
|
|
" overflow: auto;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
|
|
" content: \"▾\";\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Pipeline/ColumnTransformer-specific style */\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific style */\n",
|
|
"\n",
|
|
"/* Colorize estimator box */\n",
|
|
"#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-label label.sk-toggleable__label,\n",
|
|
"#sk-container-id-2 div.sk-label label {\n",
|
|
" /* The background is the default theme color */\n",
|
|
" color: var(--sklearn-color-text-on-default-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover, darken the color of the background */\n",
|
|
"#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Label box, darken color on hover, fitted */\n",
|
|
"#sk-container-id-2 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator label */\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-label label {\n",
|
|
" font-family: monospace;\n",
|
|
" font-weight: bold;\n",
|
|
" display: inline-block;\n",
|
|
" line-height: 1.2em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-label-container {\n",
|
|
" text-align: center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific */\n",
|
|
"#sk-container-id-2 div.sk-estimator {\n",
|
|
" font-family: monospace;\n",
|
|
" border: 1px dotted var(--sklearn-color-border-box);\n",
|
|
" border-radius: 0.25em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" margin-bottom: 0.5em;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-estimator.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* on hover */\n",
|
|
"#sk-container-id-2 div.sk-estimator:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-estimator.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
|
|
"\n",
|
|
"/* Common style for \"i\" and \"?\" */\n",
|
|
"\n",
|
|
".sk-estimator-doc-link,\n",
|
|
"a:link.sk-estimator-doc-link,\n",
|
|
"a:visited.sk-estimator-doc-link {\n",
|
|
" float: right;\n",
|
|
" font-size: smaller;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1em;\n",
|
|
" height: 1em;\n",
|
|
" width: 1em;\n",
|
|
" text-decoration: none !important;\n",
|
|
" margin-left: 1ex;\n",
|
|
" /* unfitted */\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted,\n",
|
|
"a:link.sk-estimator-doc-link.fitted,\n",
|
|
"a:visited.sk-estimator-doc-link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Span, style for the box shown on hovering the info icon */\n",
|
|
".sk-estimator-doc-link span {\n",
|
|
" display: none;\n",
|
|
" z-index: 9999;\n",
|
|
" position: relative;\n",
|
|
" font-weight: normal;\n",
|
|
" right: .2ex;\n",
|
|
" padding: .5ex;\n",
|
|
" margin: .5ex;\n",
|
|
" width: min-content;\n",
|
|
" min-width: 20ex;\n",
|
|
" max-width: 50ex;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" box-shadow: 2pt 2pt 4pt #999;\n",
|
|
" /* unfitted */\n",
|
|
" background: var(--sklearn-color-unfitted-level-0);\n",
|
|
" border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted span {\n",
|
|
" /* fitted */\n",
|
|
" background: var(--sklearn-color-fitted-level-0);\n",
|
|
" border: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link:hover span {\n",
|
|
" display: block;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
|
|
"\n",
|
|
"#sk-container-id-2 a.estimator_doc_link {\n",
|
|
" float: right;\n",
|
|
" font-size: 1rem;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1rem;\n",
|
|
" height: 1rem;\n",
|
|
" width: 1rem;\n",
|
|
" text-decoration: none;\n",
|
|
" /* unfitted */\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 a.estimator_doc_link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"#sk-container-id-2 a.estimator_doc_link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 a.estimator_doc_link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[('preprocessor',\n",
|
|
" ColumnTransformer(transformers=[('num',\n",
|
|
" Pipeline(steps=[('scaler',\n",
|
|
" StandardScaler())]),\n",
|
|
" ['nb_tickets', 'nb_purchases',\n",
|
|
" 'total_amount',\n",
|
|
" 'nb_suppliers',\n",
|
|
" 'vente_internet_max',\n",
|
|
" 'purchase_date_min',\n",
|
|
" 'purchase_date_max',\n",
|
|
" 'time_between_purchase',\n",
|
|
" 'nb_tickets_internet',\n",
|
|
" 'is_email_true', 'opt_in',\n",
|
|
" 'gender_female',\n",
|
|
" 'gender_male',\n",
|
|
" 'gender_other',\n",
|
|
" 'nb_campaigns',\n",
|
|
" 'nb_campaigns_opened']),\n",
|
|
" ('cat',\n",
|
|
" Pipeline(steps=[('onehot',\n",
|
|
" OneHotEncoder(handle_unknown='ignore',\n",
|
|
" sparse_output=False))]),\n",
|
|
" ['opt_in'])])),\n",
|
|
" ('logreg',\n",
|
|
" LogisticRegression(class_weight={0.0: 0.5837086520288036,\n",
|
|
" 1.0: 3.486549107420539},\n",
|
|
" max_iter=5000, solver='saga'))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-8\" type=\"checkbox\" ><label for=\"sk-estimator-id-8\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\"> Pipeline<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.pipeline.Pipeline.html\">?<span>Documentation for Pipeline</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>Pipeline(steps=[('preprocessor',\n",
|
|
" ColumnTransformer(transformers=[('num',\n",
|
|
" Pipeline(steps=[('scaler',\n",
|
|
" StandardScaler())]),\n",
|
|
" ['nb_tickets', 'nb_purchases',\n",
|
|
" 'total_amount',\n",
|
|
" 'nb_suppliers',\n",
|
|
" 'vente_internet_max',\n",
|
|
" 'purchase_date_min',\n",
|
|
" 'purchase_date_max',\n",
|
|
" 'time_between_purchase',\n",
|
|
" 'nb_tickets_internet',\n",
|
|
" 'is_email_true', 'opt_in',\n",
|
|
" 'gender_female',\n",
|
|
" 'gender_male',\n",
|
|
" 'gender_other',\n",
|
|
" 'nb_campaigns',\n",
|
|
" 'nb_campaigns_opened']),\n",
|
|
" ('cat',\n",
|
|
" Pipeline(steps=[('onehot',\n",
|
|
" OneHotEncoder(handle_unknown='ignore',\n",
|
|
" sparse_output=False))]),\n",
|
|
" ['opt_in'])])),\n",
|
|
" ('logreg',\n",
|
|
" LogisticRegression(class_weight={0.0: 0.5837086520288036,\n",
|
|
" 1.0: 3.486549107420539},\n",
|
|
" max_iter=5000, solver='saga'))])</pre></div> </div></div><div class=\"sk-serial\"><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-9\" type=\"checkbox\" ><label for=\"sk-estimator-id-9\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\"> preprocessor: ColumnTransformer<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.compose.ColumnTransformer.html\">?<span>Documentation for preprocessor: ColumnTransformer</span></a></label><div class=\"sk-toggleable__content fitted\"><pre>ColumnTransformer(transformers=[('num',\n",
|
|
" Pipeline(steps=[('scaler', StandardScaler())]),\n",
|
|
" ['nb_tickets', 'nb_purchases', 'total_amount',\n",
|
|
" 'nb_suppliers', 'vente_internet_max',\n",
|
|
" 'purchase_date_min', 'purchase_date_max',\n",
|
|
" 'time_between_purchase',\n",
|
|
" 'nb_tickets_internet', 'is_email_true',\n",
|
|
" 'opt_in', 'gender_female', 'gender_male',\n",
|
|
" 'gender_other', 'nb_campaigns',\n",
|
|
" 'nb_campaigns_opened']),\n",
|
|
" ('cat',\n",
|
|
" Pipeline(steps=[('onehot',\n",
|
|
" OneHotEncoder(handle_unknown='ignore',\n",
|
|
" sparse_output=False))]),\n",
|
|
" ['opt_in'])])</pre></div> </div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-10\" type=\"checkbox\" ><label for=\"sk-estimator-id-10\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">num</label><div class=\"sk-toggleable__content fitted\"><pre>['nb_tickets', 'nb_purchases', 'total_amount', 'nb_suppliers', 'vente_internet_max', 'purchase_date_min', 'purchase_date_max', 'time_between_purchase', 'nb_tickets_internet', 'is_email_true', 'opt_in', 'gender_female', 'gender_male', 'gender_other', 'nb_campaigns', 'nb_campaigns_opened']</pre></div> </div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-11\" type=\"checkbox\" ><label for=\"sk-estimator-id-11\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\"> StandardScaler<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.preprocessing.StandardScaler.html\">?<span>Documentation for StandardScaler</span></a></label><div class=\"sk-toggleable__content fitted\"><pre>StandardScaler()</pre></div> </div></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-12\" type=\"checkbox\" ><label for=\"sk-estimator-id-12\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">cat</label><div class=\"sk-toggleable__content fitted\"><pre>['opt_in']</pre></div> </div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-13\" type=\"checkbox\" ><label for=\"sk-estimator-id-13\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\"> OneHotEncoder<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.preprocessing.OneHotEncoder.html\">?<span>Documentation for OneHotEncoder</span></a></label><div class=\"sk-toggleable__content fitted\"><pre>OneHotEncoder(handle_unknown='ignore', sparse_output=False)</pre></div> </div></div></div></div></div></div></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-14\" type=\"checkbox\" ><label for=\"sk-estimator-id-14\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\"> LogisticRegression<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.linear_model.LogisticRegression.html\">?<span>Documentation for LogisticRegression</span></a></label><div class=\"sk-toggleable__content fitted\"><pre>LogisticRegression(class_weight={0.0: 0.5837086520288036,\n",
|
|
" 1.0: 3.486549107420539},\n",
|
|
" max_iter=5000, solver='saga')</pre></div> </div></div></div></div></div></div>"
|
|
],
|
|
"text/plain": [
|
|
"Pipeline(steps=[('preprocessor',\n",
|
|
" ColumnTransformer(transformers=[('num',\n",
|
|
" Pipeline(steps=[('scaler',\n",
|
|
" StandardScaler())]),\n",
|
|
" ['nb_tickets', 'nb_purchases',\n",
|
|
" 'total_amount',\n",
|
|
" 'nb_suppliers',\n",
|
|
" 'vente_internet_max',\n",
|
|
" 'purchase_date_min',\n",
|
|
" 'purchase_date_max',\n",
|
|
" 'time_between_purchase',\n",
|
|
" 'nb_tickets_internet',\n",
|
|
" 'is_email_true', 'opt_in',\n",
|
|
" 'gender_female',\n",
|
|
" 'gender_male',\n",
|
|
" 'gender_other',\n",
|
|
" 'nb_campaigns',\n",
|
|
" 'nb_campaigns_opened']),\n",
|
|
" ('cat',\n",
|
|
" Pipeline(steps=[('onehot',\n",
|
|
" OneHotEncoder(handle_unknown='ignore',\n",
|
|
" sparse_output=False))]),\n",
|
|
" ['opt_in'])])),\n",
|
|
" ('logreg',\n",
|
|
" LogisticRegression(class_weight={0.0: 0.5837086520288036,\n",
|
|
" 1.0: 3.486549107420539},\n",
|
|
" max_iter=5000, solver='saga'))])"
|
|
]
|
|
},
|
|
"execution_count": 17,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"pipeline.fit(X_train, y_train)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 18,
|
|
"id": "6356e870-0dfc-4e60-9e48-e2de5e7f9f87",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Accuracy Score: 0.764547952047952\n",
|
|
"F1 Score: 0.4741074748977315\n",
|
|
"Recall Score: 0.7449963476990504\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"y_pred = pipeline.predict(X_test)\n",
|
|
"\n",
|
|
"# Calculate the F1 score\n",
|
|
"acc = accuracy_score(y_test, y_pred)\n",
|
|
"print(f\"Accuracy Score: {acc}\")\n",
|
|
"\n",
|
|
"f1 = f1_score(y_test, y_pred)\n",
|
|
"print(f\"F1 Score: {f1}\")\n",
|
|
"\n",
|
|
"recall = recall_score(y_test, y_pred)\n",
|
|
"print(f\"Recall Score: {recall}\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 19,
|
|
"id": "09387a09-0d53-4c54-baac-f3c2a57a629a",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 2 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"draw_confusion_matrix(y_test, y_pred)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 20,
|
|
"id": "580b58d7-596f-4207-8c99-4365aba2bc9f",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 1400x800 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"draw_roc_curve(X_test, y_test)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 21,
|
|
"id": "ca5d0a55-adbb-47a0-a4c8-6af9ca75ca9d",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 1000x600 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"draw_features_importance(pipeline, 'logreg')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 22,
|
|
"id": "f3782ec2-9f2c-4c23-9691-79413c4e04be",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 800x600 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"draw_prob_distribution(X_test)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 27,
|
|
"id": "e7ee0972-79ac-481e-a370-d71b085a3c27",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"draw_calibration_curve(X_test, y_test)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "ae8e9bd3-0f6a-4f82-bb4c-470cbdc8d6bb",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Cross Validation"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 40,
|
|
"id": "7f0535de-34f1-4e97-b993-b429ecf0a554",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"y_train = y_train['y_has_purchased']"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 41,
|
|
"id": "f7fca463-d7d6-493b-8329-fdfa92457f78",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Best parameters found: {'logreg__C': 0.0009765625, 'logreg__class_weight': 'balanced', 'logreg__penalty': 'l1'}\n",
|
|
"Best cross-validation score: 0.65\n",
|
|
"Test set score: 0.64\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Cross validation\n",
|
|
"\n",
|
|
"grid_search = GridSearchCV(pipeline, param_grid, cv=3, scoring=recall_scorer, error_score='raise',\n",
|
|
" n_jobs=-1)\n",
|
|
"\n",
|
|
"grid_search.fit(X_train, y_train)\n",
|
|
"\n",
|
|
"# Print the best parameters and the best score\n",
|
|
"print(\"Best parameters found: \", grid_search.best_params_)\n",
|
|
"print(\"Best cross-validation score: {:.2f}\".format(grid_search.best_score_))\n",
|
|
"\n",
|
|
"# Evaluate the best model on the test set\n",
|
|
"test_score = grid_search.score(X_test, y_test)\n",
|
|
"print(\"Test set score: {:.2f}\".format(test_score))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 43,
|
|
"id": "56bd7828-4de1-4166-bea0-5d5e152b9d38",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 2 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"y_pred = grid_search.predict(X_test)\n",
|
|
"\n",
|
|
"draw_confusion_matrix(y_test, y_pred)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 44,
|
|
"id": "319fe0eb-4d4a-492c-bd50-3f08ab483021",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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mePPQoUMpKiriv//9r+X4Rx995HZt+/btWbdunaUpm5uby/z58y3XnX322eTm5lJTU3PY39fOnTvX6dcpIiLSELRCSEREpAGkpaXx2muvMWHCBE488USuv/56TjjhBKqqqli+fDlvvvkm3bt355xzzqFz58787W9/4+WXX8bPz48RI0awadMm7r//ftq0aWNpgFx66aVccsklTJgwgdGjR7N582YmTpxIs2bN6lzjkiVLuPrqqxk7dixbt27l3nvvJSkpiQkTJgDmTJeXX36Zyy+/nLy8PMaMGUNiYiJ79+7ll19+Ye/evbz22mvH9Pvz9NNPM2DAAB599FH+9a9/ATB+/HiWLVvGs88+y6ZNm/jrX/9K8+bNWbt2LZMmTSI7O5uPPvqI5ORk18cZO3Ys999/P48++ii///47V111FSkpKZSWlrJw4ULeeOMNxo0bd9St53/88UeGDRvGAw88UOs5QsfqySef5PTTT2fo0KHcfvvtBAUF8eqrr7Jq1SomT57sWtF133338d///pdTTz2VBx54gLCwMP7v//7PbWZT+/bteeSRR7j//vvZuHEjI0eOJC4ujt27d7Nw4ULCw8N55JFHDlvLgffee++9bNiwgTPPPJPY2Fh2797NokWLCA8P5+GHH671r83Pz4+JEydy8cUXc/bZZ3PttddSUVHBM888Q35+Pk899ZTr2kceeYSzzjqLM844g3/84x/U1NTwzDPPEBERQV5e3lE/zznnnEP37t3p168fzZo1Y/Pmzbzwwgu0a9eOjh07AtCjRw8AXnzxRS6//HICAwPp3LnzYVfmXHbZZUyaNInLLruMxx9/nI4dOzJjxgy++eYbt2svvfRS3njjDS655BKuueYacnNzmThxIlFRUZbrLrroIv7zn/8wcuRI/vGPf9C/f38CAwPZtm0bP/zwA+eddx7nn39+rX9vRUREGoR986xFRESavhUrVhiXX3650bZtWyMoKMgIDw83+vTpYzzwwAPGnj17XNfV1NQYTz/9tNGpUycjMDDQSEhIMC655BJj69atlo/ndDqNiRMnGsnJyUZISIjRr18/4/vvvz/iLmNTp051q+nALmOzZs0yLr30UiMmJsYIDQ01Ro4caaxfv97t+h9//NE466yzjLi4OCMwMNBISkoyzjrrrMN+7EMd2GXsmWeeOez5sWPHGgEBAUZWVpbl+IwZM4yRI0ca8fHxrs936aWXGqtXrz7i5/rxxx+NMWPGGC1btjQCAwONqKgoIy0tzXjmmWeMwsLCo9Z54PfqwQcfPOp1hmHuMnXCCSe4HW/Xrp1x1llnuR0H3HYA++mnn4xTTz3VCA8PN0JDQ42BAwcaX375pdt7582bZwwcONAIDg42WrRoYdxxxx3Gm2++edjds6ZPn24MHTrUiIqKMoKDg4127doZY8aMMb799lvXNX/cZawu7z2cP+4ydujHGzBggBESEmKEh4cbw4YNM+bNm+f2/s8//9zo0aOHERQUZLRt29Z46qmnjJtuusmIjY21XPfHXcaee+45Iz093UhISHC996qrrjI2bdpked/dd99ttGrVyvDz87PUebidwrZt22aMHj3aiIiIMCIjI43Ro0cb8+fPd9tlzDAM47333jO6du1qhISEGN26dTOmTJnitsuYYRhGVVWV8eyzzxq9evUyQkJCjIiICKNLly7Gtddee9iciYiINDaHYRxmfbWIiIiISCOqqqqid+/eJCUlecRjfps2baJDhw688847bjsAioiINAV6ZExEREREGt1VV13F6aefTsuWLdm1axevv/46v/32Gy+++KLdpYmIiPgENYREREREpNEVFRVx++23s3fvXgIDA+nbty8zZszgtNNOs7s0ERERn6BHxkREREREREREfIy2nRcRERERERER8TFqCImIiIiIiIiI+Bg1hEREREREREREfIzPDZV2Op3s2LGDyMhIHA6H3eWIiIiIiIiIiNQLwzAoKiqiVatW+PkdfQ2QzzWEduzYQZs2bewuQ0RERERERESkQWzdupXWrVsf9RqfawhFRkYC5m9OVFSUzdUcn5kzZ3LmmWfaXYaIx1AmRKyUCRF3yoWIlTIhYuXtmSgsLKRNmzau3sfR+Ny284WFhURHR1NQUOD1DaHq6moCAnyupydyRMqEiJUyIeJOuRCxUiZErLw9E3XpeWiotBebOnWq3SWIeBRlQsRKmRBxp1yIWCkTIla+lAk1hEREREREREREfIwaQl6sW7dudpcg4lGUCRErZULEnXIhYqVMiFj5UibUEPJi0dHRdpcg4lGUCRErZULEnXIhYqVMiFj5UibUEPJiCxYssLsEEY+iTIhYKRMi7pQLEStlQsTKlzKhhpCIiIiIiIiIiI/RtvNeLDc3l/j4eLvLEPEYyoSIlTIh4k65ELFSJkSsvD0T2nbeR6xZs8buEkQ8ijIhYqVMiLhTLkSslAkRK1/KhBpCXmzbtm12lyDiUZQJEStlQsSdciFipUyIWPlSJtQQ8mJhYWF2lyDiUZQJEStlQsSdciFipUyIWPlSJjRDSERERERERESkCdAMIR8xefJku0sQ8SjKhIiVMiHiTrkQsVImRKx8KRNqCImIiIiIiIiI+Bg1hLxYp06d7C5BxKMoEyJWyoSIO+VCxEqZELHypUyoIeTFEhMT7S5BxKMoEyJWyoSIO+VCxEqZELHypUyoIeTFMjMz7S5BxKMoEyJWyoSIO+VCxEqZELHypUyoISQiIiIiIiIi4mO07bwX2717N82bN7e7DBGPoUyIWCkTIu6UCxErZULEytszoW3nfUR2drbdJYh4FGVCxEqZEHGnXIhYKRMiVr6UCTWEvNjmzZvtLkHEoygTIlbKhIg75ULESpkQsfKlTKgh5MWCgoLsLkHEoygTIlbKhIg75ULESpkQsfKlTNg6Q2ju3Lk888wzLF26lJ07d/L5558zatSoo77nxx9/5NZbb2X16tW0atWKO++8k+uuu67Wn7MpzRASERERERERETnAa2YIlZSU0KtXL1555ZVaXb9x40ZGjhzJySefzPLly7nnnnu46aab+Oyzzxq4Us80depUu0sQ8SjKhIiVMiHiTrkQsVImRKx8KRMBdn7yESNGMGLEiFpf//rrr9O2bVteeOEFALp27cqSJUt49tlnGT16dANV6bmqq6vtLkHEoygTIlbKhIg75ULESpkQMdU4DVZvz2feLgdj7S6mkdjaEKqrBQsWMHz4cMuxM844g7fffpuqqioCAwPd3lNRUUFFRYXrdWFhYYPX2ViSk5PtLkHEoygTIlbKhIg75ULESpkQX2UYBptzS8nMymHF8iz6vfMijvJypo/8B3cVlNMiOsTuEhucVzWEdu3aRfPmzS3HmjdvTnV1NTk5ObRs2dLtPU8++SQPP/yw2/GpU6cSFhbGBRdcwHfffUdBQQGJiYn079+fr776CoC+ffvidDpZsWIFAOeddx6ZmZnk5uYSFxfH4MGDmT59OgA9e/YkMDCQpUuXAnDWWWexZMkSdu/eTVRUFMOHD+fTTz8F4IQTTiAiIoKFCxcCZlNr1apVbN++nfDwcM4++2ymTJkCQOfOnUlISGDevHkAnHbaaaxbt44tW7bgdDoZMGAAU6ZMwel0kpKSQlJSEnPnzgVgyJAhbNmyhQ0bNhAQEMDYsWP57LPPqKyspF27dqSkpPD9998DMGjQIPbs2cO6desAGD9+PF988QWlpaW0bt2abt26MWvWLADS0tIoKChgzZo1AIwdO5aZM2dSVFREixYt6Nu3LzNmzADgpJNOory8nF9//RWA888/nzlz5rBv3z4SEhJIS0vjyy+/BKBPnz4ALF++HIBzzjmHBQsWkJOTQ2xsLEOGDOHzzz8HoEePHoSEhLB48WIARo4cybJly9i1axeRkZGceeaZrqV+3bp1Izo6mgULFgAwfPhw1qxZw7Zt2wgLC+O8885j8uTJAHTq1InExEQyMzMBOPXUU8nOzmbz5s0EBQUxevRopk6dSnV1NcnJybRt25Y5c+YAMHjwYLZv3052djZ+fn6MGzeOadOmUVFRQdu2benUqRPffvstABkZGeTk5LB27VoAxo0bx1dffUVJSQlJSUl0796db775BoABAwZQXFzM6tWrARgzZgyzZs2isLCQ5s2b069fP77++msATjzxRKqqqli5ciUAo0aNYu7cueTl5REfH8+gQYP44osvAOjduzd+fn4sW7YMgLPPPptFixaxZ88eoqOjGTZsGNOmTQOge/fuhIWFsWjRIsBc3ffLL7+wY8cOIiIiGDlyJJ988gkAXbp0IS4ujvnz5wNw+umn8/vvv7N161ZCQ0MZNWoUH3/8MYZh0LFjR1q0aMFPP/0EwNChQ9m0aRMbN24kMDCQMWPG8Omnn1JVVUWHDh1o3749P/zwAwAnn3wyu3btYv369TgcDi666CKys7PZsGEDbdq0oUuXLsyePRuA9PR08vLy+P333wG48MILmTFjBsXFxbRq1YpevXrxv//9D4D+/ftTWlrKqlWrALz6a0RwcDAXXHCBvkbgu18jwsPDKSws1NeI/V8jpk+fTllZmb5G+PjXiPLycsLDw/U1Qt9H6GsE5teIoKAg159hfY3Q9xFN/WvEL2s38P3q7WwsDWJ7dSR7cgu5bOlXPDD/Y6IqSnDiYOaw88jeso1tFfle+TWitLSU2rJ1qPShHA7Hnw6V7tSpE1deeSV3332369i8efMYNGgQO3fupEWLFm7vOdwKoTZt2jSJodKTJ09m/Pjxdpch4jGUCRErZULEnXIhYqVMSFNWUlHNok15zFufQ2ZWDr/vKjJPGAanZy3k3h/+Tft9OwAo7daD4Bcn8cnePV6diboMlfaqFUItWrRg165dlmN79uwhICCA+Pj4w74nODiY4ODgxihPRERERERERGxSVeNk5bZ85mXlkpmVw/It+6iqsa6BOSWkjIenP0v7X8xVdDRvDo8/TtgVV4C/P+xf0eULvKohdOiSvwNmzZpFv379Djs/qKkbPHiw3SWIeBRlQsRKmRBxp1yIWCkT4s0MwyBrTzGZWTnMy8rh5w15FFdYB6W3jg3l5I4JpKckkJ4ST7yzAl6dAMHBcNttcNddEBnput6XMmFrQ6i4uJisrCzX640bN7JixQri4uJo27Ytd999N9u3b+f9998H4LrrruOVV17h1ltv5ZprrmHBggW8/fbbrmcyfc327dtJSkqyuwwRj6FMiFgpEyLulAsRK2VCvM2ugnLm7W8AZWblsKeownI+JiyQjJQEMlITGJSaQNtwP/j4Y+h5OTgcQDB89BF07Ajt2rl9fF/KhK0NoSVLljB06FDX61tvvRWAyy+/nHfffZedO3eyZcsW1/kOHTowY8YMbrnlFv7v//6PVq1a8dJLL/nklvMA2dnZ9O/f3+4yRDyGMiFipUyIuFMuRKyUCfF0heVV/Jyd62oAZe8tsZwPDvCjf4c4VwOoW8so/PwcYBgwdSr885+waROEhcGFF5pvOu20I34+X8qErQ2hIUOGcLSZ1u+++67bsVNOOcU1qdzX+fn52V2CiEdRJkSslAkRd8qFiJUyIZ6morqG5VvyXQ2gX7bm4zykbeDngB6tYxiUGk9GagJ928YSEuhv/SCLF8Mtt8D+XTZJSoKgoFp9fl/KhMfsMtZY6jJxW0REREREREQajtNp8Nuuwv0NoFwWbcylvMppuSa5WbjrMbC05Hiiw44wQ3jbNrjnHvjgA/N1WBjceSfcfjuEhzfwr8QzNNldxsRq2rRpXHDBBXaXIeIxlAkRK2VCxJ1yIWKlTIgdtuaVulYAzc/OJa+k0nI+ISLYtQIoIzWBVjGhtfvAF14ICxaYP7/0UnjiCWjduk61+VIm1BDyYhUVFX9+kYgPUSZErJQJEXfKhYiVMiGNYV9JJfOzc127gW3JK7WcDw/yZ0ByvGsOUKfmETgcjj//wE4n1NTAgV3HH3sMHngAJk2Ck046plp9KRNqCHmxtm3b2l2CiEdRJkSslAkRd8qFiJUyIQ2hvKqGxZvyXA2g1TsKOXRYTYCfgz5tY1wNoF5tYgj0r+Psnvnz4eab4bzz4N57zWOnngpDh+7fTezY+FIm1BDyYp06dbK7BBGPokyIWCkTIu6UCxErZULqQ43T4NftBeZjYOtzWLplH5XV1jlAnZtHmg2gjvH07xBPRPAxtiM2bzZ3DpsyxXy9bZs5Iyg42Hx9HM0g8K1MqCHkxb799lvGjx9vdxkiHkOZELFSJkTcKRciVsqEHAvDMNiYU+KaA7QgO5fC8mrLNS2jQxiUmsCgjgmkpcSTGBlyfJ+0qAiefBKefx4qKszGz1VXwaOPHmwG1QNfyoQaQiIiIiIiIiJyVHuKypmfdXAO0M6Ccsv5yJAA0lPiGbR/EHSHhPDazQGqjW+/hUsugd27zddDh5qNod696+fj+yg1hLxYRkaG3SWIeBRlQsRKmRBxp1yIWCkTciTFFdUs2phL5vpc5mXlsHZ3keV8kL8f/drHuuYAdU+Kxt+vnhpAf9S+PeTlQWoqPPssnHvucT8adiS+lAk1hLxYTk6OTw28EvkzyoSIlTIh4k65ELFSJuSAqhonK7bmk7neXAG0Yms+1c6Dk6AdDjihVZSrAdSvXRyhQf4NU0xWFsyaBRMmmK9TU2H2bEhLg6Cghvmc+/lSJtQQ8mJr166lb9++dpch4jGUCRErZULEnXIhYqVM+C7DMFi3u9j1CNjCDbmUVNZYrmkXH+ZqAKUlxxMb3rDNGPLzza3jX3oJqqth4EA48OfzlFMa9nPv50uZUENIRERERERExAfsyC8jMyuH+Vk5ZGblklNcYTkfFx5kmQPUJi6scQqrroY334QHH4ScHPPYmWdCRETjfH4f5TAMw/jzy5qOwsJCoqOjKSgoICoqyu5yjovT6cTPz8/uMkQ8hjIhYqVMiLhTLkSslImmraC0igUbzBlA87Jy2JBTYjkfEujHgA5mAyg9NZ6uLaLwa6g5QEfyzTdw662wZo35umtXeO45GDGicevYz9szUZeeh1YIebGvvvqKc8891+4yRDyGMiFipUyIuFMuRKyUiaalvKqGZZv3MS/bXAH067Z8DhkDhJ8DerWJca0A6tM2huCABpoDVBslJXDppbB3L8THw8MPw9/+BoGBtpXkS5lQQ8iLlZSU/PlFIj5EmRCxUiZE3CkXIlbKhHdzOg3W7Cx0zQFatDGPimqn5ZrUxAgyUuLJSE1gYEo8USH2NVsAc05QdLQ5pTo8HJ58Elavhvvvh9hYe2vDtzKhhpAXS0pKsrsEEY+iTIhYKRMi7pQLEStlwvtsyS11NYDmZ+ewr7TKcj4xMti1AigjNYEW0SE2VfoHlZXw6qvwyCPwxhswdqx5/Kqr7K3rD3wpE2oIebHu3bvbXYKIR1EmRKyUCRF3yoWIlTLh+XKLK5ifbc4ByszKYdu+Msv5iOAABibHuXYDS02MwOFo5DlAR2MY8NVXcNttsH69eezDDw82hDyML2VCDSEv9s033zB+/Hi7yxDxGMqEiJUyIeJOuRCxUiY8T2llNYs37TMbQOtzWLOz0HI+0N9Bn7axrlVAPVtHE+jvoUOQV640B0Z/9535OjERHn8crrzS3rqOwpcyoYaQiIiIiIiIiE2qa5ys3F7AvPXmCqDlW/KprLHOAerSItJsAHVMoH/7OMKDveCv8k89BffeC04nBAWZjaG77wYv3+27KfGCP0VyJAMGDLC7BBGPokyIWCkTIu6UCxErZaLxGYZB9t4S1yNgP2fnUlRRbbkmKSbU1QBKT4knISLYpmqPw4knms2gsWPh6aehQwe7K6oVX8qEGkJerLi42O4SRDyKMiFipUyIuFMuRKyUicaxu7Dc1QCan5XLrsJyy/no0EDS9+8ENig1gXbxYZ41B+jPGAZ8+ikUFMDVV5vHTj8dfv0VvGwmjy9lQg0hL7Z69Wp69uxpdxkiHkOZELFSJkTcKRciVspEwygqr2LhhjzXbmDr91ibDEEBfvRvH7d/J7B4TmgVjb+fFzWADrVkCdxyC2RmQkQEnH02tGhhnvOyZhD4VibUEBIRERERERE5DpXVTpZvMQdBz8vOZcXWfGqchuu8wwE9kqJdK4BObBdLSKC/jRXXg+3b4Z574P33zdehoeacoMhIe+uSWnMYhmH8+WVNR2FhIdHR0RQUFBDl5cOsqqqqCAwMtLsMEY+hTIhYKRMi7pQLEStl4tg4nQZrdxe5HgNbuCGPsqoayzUdEsLJSI0nIyWBtJR4YsKCbKq2npWWwrPPmnOBSkvNY5dcAk88AW3a2FtbPfD2TNSl56EVQl5s1qxZnHXWWXaXIeIxlAkRK2VCxJ1yIWKlTNTetn2l5gqgrFzmZ+eQU1xpOR8fHuRaAZSeGk/r2DCbKm1g27bBo49CdTWkpcELL0D//nZXVW98KRNqCHmxwsJCu0sQ8SjKhIiVMiHiTrkQsVImjiy/tJIF2bmuOUCbckst58OC/BnQ4cAcoAQ6N4/Ez1vnAP2ZjRsP7hLWqRM89hi0bw8XXmg+D9eE+FIm1BDyYs2bN7e7BBGPokyIWCkTIu6UCxErZeKg8qoalmzax7xsswH06/YCDh2w4u/noHebGNcqoN5tYggK8LOv4MaweTPcdRd88ok5PLpPH/P4P/9pb10NyJcyoYaQF+vXr5/dJYh4FGVCxEqZEHGnXIhY+XImapwGq3cUuFYALd60j8pqp+WaTs0jXA2g/h3iiAzx3tkydVJcDE89Bc89B+Xl5iqgH3442BBqwnwpE2oIebGvv/6a8ePH212GiMdQJkSslAkRd8qFiJUvZcIwDDblHpgDlMP87FwKyqos17SICjEbQB3jSU9JoHlUiE3V2sTphPfeM3cP27XLPHbKKTBpkk80g8C3MqGGkIiIiIiIiDRJe4sqmL//EbB5Wblszy+znI8MDiAtJd41ByilWTiOJjYTp05GjIBZs8yfp6TAM8/AqFFNbk6QmNQQ8mInnnii3SWIeBRlQsRKmRBxp1yIWDW1TJRUVLNoUx7z1pvbwf++q8hyPsjfj77tYhi0vwHUIymaAP8mPgeoLs47D37+Ge6/H268EYKD7a6o0TW1TByNGkJerKqq6s8vEvEhyoSIlTIh4k65ELHy9kxU1ThZuS2fzPW5zMvKYdmWfVQ7Dcs1J7SKcq0AOql9LGFB+mswAAUF5m5hGRnmKiCAv/0Nxo6FZs1sLc1O3p6JulASvNjKlSs54YQT7C5DxGMoEyJWyoSIO+VCxMrbMmEYBll7il2DoH/ekEdxRbXlmtaxoZzc0WwApSXHEx/he6tcjqq6Gv71L3jgAdi7F6ZNg5EjISgIAgJ8uhkE3peJ46GGkIiIiIiIiHisnQVlzMvKdQ2D3lNUYTkfExZIRkqCazewtvFhNlXqBWbPhltugdWrzdddupg7iQX6yO5pYuEwDMP488uajsLCQqKjoykoKCAqKsruco5LWVkZoaGhdpch4jGUCRErZULEnXIhYuWJmSgsr+LnbLMBlJmVQ/beEsv54AA/+neIc80B6tYyCj8/DT0+qvXr4dZb4auvzNdxcfDww3DttWoG/YEnZqIu6tLz0AohLzZ37lzOOOMMu8sQ8RjKhIiVMiHiTrkQsfKETFRU17Bsc76rAbRyWz6HjgHyc0CP1jEMSjV3A+vbNpaQQH/7CvZGGzeazaCAALjhBvNxsdhYu6vySJ6QicaihpAXy8vLs7sEEY+iTIhYKRMi7pQLESs7MuF0Gvy2q3B/AyiXRRtzKa9yWq5JbhbuWgE0MDme6FCtYqmTqipYuRIO7Jg1fLg5QHrsWOjUyd7aPJwv3SfUEPJi8fHxdpcg4lGUCRErZULEnXIhYtVYmdiaV0rm/hVAC7JzySuptJxPiAh2rQDKSE2gVYz3PrJjK8OAr7+G22+HHTvMR8WaNzfP3XuvvbV5CV+6T2iGkBcrLS0lLEwD00QOUCZErJQJEXfKhYhVQ2Uir6SSBdm5rt3AtuSVWs6HB/kzMPlgA6hT8wgcDs0BOi6rVplzgmbPNl83awaffgqDB9tbl5fx9vuEZgj5iC+++ILx48fbXYaIx1AmRKyUCRF3yoWIVX1loqyyhsWb8sydwLJzWL2jkEOXHgT4OejTNsa1E1ivNjEE+vsd9+cVYM8ecybQW2+B02luH3/zzXDPPRAdbXd1XseX7hNqCImIiIiIiEid1DgNft1eYM4BWp/D0s37qKyxzgHq0iJy/wqgePp3iCciWH/9rHfFxdCtG+Tmmq/HjIGnn4bkZHvrEq+gRHqx3r17212CiEdRJkSslAkRd8qFiFVtM2EYBhtySswVQPvnABWWV1uuaRUdYq4A6phAWko8iZEhDVCxWEREwMUXQ2YmTJqkx8PqgS/dJ9QQ8mJ+flpiKXIoZULESpkQcadciFgdLRN7isqZn3VwDtDOgnLL+aiQANJTzBVAGakJdEgI1xyghrZsmTkw+vnn4UDj4qmnIDgY9PWtXvjSfUINIS+2bNkyOnfubHcZIh5DmRCxUiZE3CkXIlaHZqK4opqFG3KZl5XLvKwc1u4uslwb5O9Hv/axrjlA3ZOi8fdTA6hR7Nxp7hL27rvmTmL33AMzZpjnQrUjW33ypfuEGkIiIiIiIiI+qKrGyaZifybNXse8rBxWbM2n2nlwErTDAd1bRZOeGs+g1AT6tYsjNMjfxop9UFmZuRroySehpMQ8dvHF5muR46Rt571YUVERkZGRdpch4jGUCRErZULEnXIhvswwDNbuLnKtAFq4IZeSyhrLNe3iw1wrgNKS44kND7KpWuHzz83dwrZsMV8PHAgvvAADBthZVZPn7fcJbTvvIxYtWsSwYcPsLkPEYygTIlbKhIg75UJ8zY78MtcMoHlZueQUV1jORwTCkK4tGZSaQEZqAm3iwmyqVNxs3242g9q0MXcOu+gic9mWNChfuk+oIeTF9uzZY3cJIh5FmRCxUiZE3CkX0tQVlFaxYEOuazewDTkllvOhgf707xDnagAtn/M1F//lLJuqFYutW2HHjoMrgK691pwXdPXVmhPUiHzpPqGGkBeLjo62uwQRj6JMiFgpEyLulAtpasqrali2eZ9rFdCv2ws4ZAwQ/n4OeraOdjWA+rSNITjg4BygTTHKhO2Ki2HiRHjmGUhKgtWrzV3DAgPhxhvtrs7n+NJ9QjOEvFhFRQXBwcF2lyHiMZQJEStlQsSdciHezuk0WLOz0NUAWrQxj4pqp+Wa1MQIVwNoQHIcUSGBR/x4yoSNnE54/31zx7CdO81jgwfD5MnQqpW9tfkwb8+EZgj5iGnTpjF+/Hi7yxDxGMqEiJUyIeJOuRBvYxgGW/JKXQ2g+dm55JdWWa5JjAx2NYAyUhNoER1S64+vTNjkp5/glltg6VLzdXKyuULo/PM1J8hmvpQJNYREREREREQ8SG5xBfOzzTlAmVk5bNtXZjkfERzAwOR4BqXGM6hjAinNInCoieA9li83VwIBREXBfffBTTeZj4mJNCI1hLxY9+7d7S5BxKMoEyJWyoSIO+VCPFFpZTWLNua5dgJbs7PQcj7Q30GftrGuVUC9WkcT4O9XL59bmWgkTif47f9/1qcPnH02tG4NDz8MiYn21iYWvpQJNYS8WFiYtoQUOZQyIWKlTIi4Uy7EE1TXOFm5vYB5680VQMu27KOqxjratWvLKAalxpORmkD/DnGEBTXMX92UiQZWUwNvvw3PPguZmQebP9Ong7//Ud8q9vClTKgh5MUWLVpESkqK3WWIeAxlQsRKmRBxp1yIHQzDIHtvMZnrc5iXncvP2bkUVVRbrkmKCTVXAHVMID0lnoSIxnl8SJloQN99Z84J+vVX8/XLL8Ojj5o/VzPIY/lSJtQQEhERERERqWe7C8tdM4DmZeWwu7DCcj46NJCM1HjSUxIYlJpAu/gwzQFqKtatg9tvhy+/NF/HxsKDD8KECfbWJfIH2nbei+Xn5xMTE2N3GSIeQ5kQsVImRNwpF9JQisqrWLghz9UAWr+n2HI+KMCP/u3jyEg1G0DdWkXh72d/A0iZqEeGAf/8J0yaBNXVEBBgNoEefBDi4uyuTmrJ2zOhbed9xC+//MIpp5xidxkiHkOZELFSJkTcKRdSXyqrnSzfss+1CuiXbQXUOA/+W7vDAT2Tol1bwZ/YLpaQQM97TEiZqEcOB5SXm82gs84y5wZ16WJ3VVJHvpQJNYS82I4dO+wuQcSjKBMiVsqEiDvlQo6V02mwdneRqwG0cEMeZVU1lms6JISTkRrPoNQEBibHExMWZFO1tadMHAfDgBkzoH17OOEE89iDD5o7iA0fbmtpcux8KRNqCHmxiIgIu0sQ8SjKhIiVMiHiTrmQuti2r3R/AyiX+Vk55JZUWs4nRASZK4BSEkhPjad1rPftTqRMHKNVq+C222DWLBg2DGbPNlcIxcerGeTlfCkTmiHkxWpqavDXdHoRF2VCxEqZEHGnXMjR5JdWsiA71zUHaFNuqeV8WJA/AzrsnwPUMYHOzSO9fhC0MlFHe/eaq4DeeAOcTggMhH/8A554wvy5eD1vz4RmCPmITz75hPHjx9tdhojHUCZErJQJEXfKhRyqvKqGJZv2uRpAq3YUcOg/l/v7OejTJob0/YOge7eJISjAz76CG4AyUUsVFea28Y89BgUF5rELLoCJE8FHtij3Fb6UCTWERERERETEJ9Q4DVbvKHA1gBZv2kdltdNyTafmEa6dwPp3iCMyRKs+BPjgA7jjDvPnffqYO4n5yOBhabrUEPJiXTSxXsRCmRCxUiZE3CkXvsUwDDbllpoNoPU5LNiQS0FZleWaFlEh+x8BiycjJYHEqBCbqrWHMnEUZWUQGmr+/PLL4aOP4NJL4bLLwIsfKZKj86VMqCHkxeLi4uwuQcSjKBMiVsqEiDvlounbW1TB/GxzBdC8rFy255dZzkeGBJCWHM+gjuZ28MkJ4V4/B+h4KBOHsXMn3HcfzJsHK1dCUJA5H+j77+2uTBqBL2VCDSEvNn/+fNq1a2d3GSIeQ5kQsVImRNwpF01PSUU1izbmuR4D+31XkeV8kL8ffdvFMCjVbAD1SIomwL9pzQE6HsrEIcrKzEfBnngCSkrMY7NmmdvIi8/wpUyoISQiIiIiIl6jqsbJym35ZK7PZV5WDsu27KPaad04+YRWUa4G0Ent4wgN0uM9chSGAVOmwD//CVu2mMcGDDCbQ2lp9tYm0oC07bwXy8nJISEhwe4yRDyGMiFipUyIuFMuvI9hGKzfU0zm+hzmZ+fw84Y8iiuqLde0iQt1NYDSkuOJjwi2qVrv4/OZKCyEESNg/nzzdevW8NRTMH48+GklmS/y9kxo23kf8fvvvzNo0CC7yxDxGMqEiJUyIeJOufAOOwvKmJdlrgDKzMphb1GF5XxsWKBrK/iMlATaxofZVKn38/lMREaaP8LC4K674LbbzJ+Lz/KlTKgh5MW2bt1qdwkiHkWZELFSJkTcKReeqaCsip835O4fBJ1D9t4Sy/mQQD9Oah/nWgXUrWUUfn6+Owi6PvlcJkpK4Pnn4brroFkzcDjgtdfMwdFJSXZXJx7AlzKhhpAXCz2wBaKIAMqEyB8pEyLulAvPUFFdw7LN+a4VQCu35XPoGCA/B/RsbQ6CTk+Np2/bWEICNQeoIfhMJpxO+OADuOce2LHD3Ens1VfNcx062FubeBSfyQSaIWR3OSIiIiIiTZ7TabBmZyHzs3PIzMpl0cZcyquclmuSm4W7VgANTI4nOjTQpmqlycnMhFtugSVLzNcdOsCzz8IFF9hbl0gD0AwhH/Hxxx9z0UUX2V2GiMdQJkSslAkRd8pF49maV0rm/hVAC7JzySuptJxvFhlsrgBKiScjNYFWMb7zr/KepElnYuNGc+ewqVPN15GRcO+98I9/QEiIvbWJx2rSmfgDNYS8mI8t7hL5U8qEiJUyIeJOuWg4eSWVLMjOJXP/HKAteaWW8+FB/gxMNps/gzom0DExAodDc4Ds1qQzMWmS2Qzy84OrroJHH4Xmze2uSjxck87EH6gh5MU6duxodwkiHkWZELFSJkTcKRf1p6yyhsWb8lxzgNbsLOTQv0cF+Dno0zbGbAClJtCrTQyB/trG29M0qUzU1MC+fXBgy/AHHoCtW+Ghh6BXL1tLE+/RpDLxJ9QQ8mItWrSwuwQRj6JMiFgpEyLulItjV+M0+HV7gdkAWp/D0s37qKyxzgHq0iLS1QA6qUMcEcH664anazKZ+P57c05Q8+bwzTfm7mEJCfD553ZXJl6myWSiFvQV2ov99NNPjB8/3u4yRDyGMiFipUyIuFMuas8wDDbklLgaQAs25FJUXm25plV0iOsRsLSUeBIjNZfF23h9Jtavh9tvh//+13wdE2OuCmrb1tayxHt5fSbqQA0hEREREREBYE9ROfOzDs4B2llQbjkfFRJAekoCGR3NVUDt48M0B0jssW+fORPolVegqgr8/WHCBHjwQYiPt7s6Ea+ghpAXGzp0qN0liHgUZULESpkQcadcWBVXVLNww8EG0LrdxZbzQf5+9Gsf63oMrHtSNP5+agA1JV6ZiV9+gWHDIDfXfD1ypLmNfNeu9tYlTYJXZuIYqSHkxTZt2uRTzzeK/BllQsRKmRBx5+u5qKpxsmJrPpnrzQbQiq35VDsPToJ2OKB7q2hXA6hf+1hCAv1trFgamldmomtXiIsz5wU9/zyccYbdFUkT4pWZOEZqCHmxjRs3MnDgQLvLEPEYyoSIlTIh4s7XcmEYBmt3F7kaQIs25lFSWWO5pl18mKsBlJYcT2x4kE3Vih28IhNr1sCLL8LLL0NQkPnjm2+gTRsI0F9ppX55RSbqidLjxQIDA+0uQcSjKBMiVsqEiDtfyMX2/DLm7X8EbF5WLjnFFZbz8eFBpKcmMCg1nvSUBNrEhdlUqXgCj85ETo65Zfzrr5tbynftCjffbJ7r0MHOyqQJ8+hM1DOHYRjGn1/WdBQWFhIdHU1BQQFRUVF2lyMiIiIiclwKSqtYsCGHzKwc5mflsiGnxHI+NNCf/h3iGJSaQEZqAl1aROKnOUDiySorzWHRjzwCBQXmsfPPh4kTITXV3tpEPFxdeh5aIeTFPv30U8aMGWN3GSIeQ5kQsVImRNw1hVyUV9WwbPM+1yDoX7cXcMgYIPz9HPRqHc2g1ATSUxPo0zaG4ADNAZLD86hMGIa5ffztt0NWlnmsd2+YNAmGDLGzMvEhHpWJBqaGkBerqqqyuwQRj6JMiFgpEyLuvDEXNU6DNTsKzRVA2eYcoIpqp+Wa1MQI1wqgAclxRIX4ziMPcnw8LhOvvGI2g5o3h8cfhyuuMLeUF2kkHpeJBqSGkBfroOdmRSyUCRErZULEnTfkwjAMtuSVulYAzc/OJb/U+heU5lHBZKSYDaCM1ARaRIfYVK14O9szsWuXOSQ6Ls7c5u7552HyZLj7boiMtLc28Um2Z6IRqSHkxdq3b293CSIeRZkQsVImRNx5ai5yiiuYn53L/CxzFtC2fWWW8xHBAQxMjmdQajyDOiaQ0iwCh0NzgOT42ZaJ8nLzUbAnnoDLLzdXBgH06GH+ELGJp94nGoIaQl7shx9+YPz48XaXIeIxlAkRK2VCxJ2n5KK0sppFG/OYl5VDZlYuv+0stJwP9HfQp22s6zGwXq2jCfD3s6laacoaPROGAVOnwj//CZs2mceWL4fqam0hLx7BU+4TjUGJExERERFpYNU1TlZuL2DeenMF0LIt+6iqsW7227VlFINS48lITaB/hzjCgvStujQxixfDLbfAvHnm66QkeOop+MtfwE8NT5HGpruMFzv55JPtLkHEoygTIlbKhIi7xsqFYRhk7y0mc725AmjhhlyKKqot1yTFhJorgDomkJ4ST0JEcKPUJnKoRrtXvP+++WgYQFiYuULo9tvNn4t4EF/6/kkNIS+2a9cuWrdubXcZIh5DmRCxUiZE3DVkLnYXlu9/BMwcBr27sMJyPiYskPQUcwXQoNQE2saFaQ6Q2K7R7hUjRkBMDJx7rjk3KCmp4T+nyDHwpe+f1BDyYuvXr6dfv352lyHiMZQJEStlQsRdfeaisLyKhRvyXE2grD3FlvPBAX6c1D7O1QDq1ioKfz81gMSzNMi9wumEjz6CH36At982jzVrZm4nHx9fv59LpJ750vdPagh5Mf2LkoiVMiFipUyIuDueXFRWO1m+ZZ+rAfTLtgJqnAfnADkc0DMp2tUA6tsulpBA//ooW6TB1Pu9Yv58uPlmc14QwLhxMHy4+XM1g8QL+NL3Tw7DMIw/v6zpKCwsJDo6moKCAqKiouwuR0REREQ8lNNp8PuuIlcDaNHGPMqqaizXdEgIJyM1nkGpCQxMjicmLMimakVstnmzORdoyhTzdUQE3HOPOUQ6JMTe2kR8SF16Hloh5MWmT5/OqFGj7C5DxGMoEyJWyoSIuz/LxbZ9pa6t4Odn5ZBbUmk5nxARRMb+reAzUhNIiglt4IpFGtZx3yvKyuCxx+C556Ciwlwqd9VV8Oij0KJFvdUp0lh86fsnNYS8WFlZmd0liHgUZULESpkQcffHXOwrqWTBhlzm7R8EvSm31HI+LMifAR32zwHqmEDn5pE+9TiBNH3Hfa/w94dPPjGbQUOHwvPPQ+/e9VKbiB186fsnNYS8WJs2bewuQcSjKBMiVsqEiLvmrVrv3wrebACt2lHAoQMU/P0c9GkT41oB1LtNDEEBfvYVLNLAjulekZkJAwZAYCAEBcFrr0FJibmDmBqm4uV86fsnNYS8WJcuXewuQcSjKBMiVsqECNQ4DVZtL2BettkAWryxiMqahZZrOjWPcA2C7t8hjsiQQJuqFWl8dbpXZGXBHXfA9Onw4otw003m8dNOa5DaROzgS98/qSHkxWbPns348ePtLkPEYygTIlbKhPgiwzDYlFtqrgBan8P87BwKy6st17SICmFQxwQyUuPJSEkgMUoDb8V31epekZ9vzgl66SWoqjIfE9uzp1HqE2lsvvT9kxpCIiIiIuLV9hZVMH//CqB5Wblsz7fOf4gMCSAtOZ5BHRPI/30hN14xUnOARGqjuhreegseeABycsxjZ55pDpDu1s3e2kTkuKkh5MXS09PtLkHEoygTIlbKhDRVJRXVLNqY55oD9PuuIsv5IH8/TmwXa64ASk2gR1I0Af7mHKDNrRxqBokc4qj3ir//Hd580/x5167mwOgzz2ycwkRs4kvfP6kh5MXy8vJo166d3WWIeAxlQsRKmZCmoqrGyS9b85mXZe4GtmzLPqqdhuWaE1pFMWj/IOiT2scRGuR/2I+lXIhYuWXCMA4Ohv773815QQ88ANdeCwH666M0fb50n7B9y4RXX32VDh06EBISwoknnshPP/101Ov/85//0KtXL8LCwmjZsiVXXnklubm5jVStZ/n999/tLkHEoygTIlbKhHgrwzBYt7uIf2du5Kp3F9P74VmMeX0Bk75dx6JNeVQ7DdrGhTG+fxte+Usflt53Gl/fdDJ3j+zK4E7NjtgMAuVC5I9cmcjNhRtvhNtvP3iyZ0/YssVsDKkZJD7Cl+4TtqZ6ypQp3Hzzzbz66qtkZGTwxhtvMGLECNasWUPbtm3drs/MzOSyyy5j0qRJnHPOOWzfvp3rrruOq6++ms8//9yGX4GIiIiI1IedBWWuFUCZWTnsLaqwnI8NCyR9/05gGSkJtI0Ps6lSkabFr7oaJk2CRx4xh0cHBMDNN8OBrbeDg+0sT0QakMMwDOPPL2sYAwYMoG/fvrz22muuY127dmXUqFE8+eSTbtc/++yzvPbaa2RnZ7uOvfzyy0ycOJGtW7fW6nMWFhYSHR1NQUEBUVFRx/+LsFFNTQ3+/kf+FzARX6NMiFgpE+LJCsqq+HnDwQbQhr0llvMhgX6c1D7O9RhYt5ZR+Pkd/+wf5UJkP8OAL7/EuP12HOvXm8d69jTnBA0bZm9tIjby9vtEXXoetq0QqqysZOnSpdx1112W48OHD2f+/PmHfU96ejr33nsvM2bMYMSIEezZs4dPP/2Us84664ifp6KigoqKg//CVFhYWD+/AA8wY8YMzjnnHLvLEPEYyoSIlTIhnqSiuoZlm/NdDaCV2/I5dAyQnwN6to5xNYD6toshOKD+vyFXLkSAjRvhmmvgu+9wACQmmtvK//Wv5pbyIj7Ml+4TtjWEcnJyqKmpoXnz5pbjzZs3Z9euXYd9T3p6Ov/5z38YN24c5eXlVFdXc+655/Lyyy8f8fM8+eSTPPzww27Hp06dSlhYGBdccAHfffcdBQUFJCYm0r9/f7766isA+vbti9PpZMWKFQCcd955ZGZmkpubS1xcHIMHD2b69OkA9OzZk8DAQJYuXQrAWWedxZIlS9i9ezdRUVEMHz6cTz/9FIATTjiBiIgIFi5cCMAZZ5zBqlWr2L59O+Hh4Zx99tlMmTIFgM6dO5OQkMC8efMAOO2001i3bh1btmxh586dgPnondPpJCUlhaSkJObOnQvAkCFD2LJlCxs2bCAgIICxY8fy2WefUVlZSbt27UhJSeH7778HYNCgQezZs4d169YBMH78eL744gtKS0tp3bo13bp1Y9asWQCkpaVRUFDAmjVrABg7diwzZ86kqKiIFi1a0LdvX2bMmAHASSedRHl5Ob/++isA559/PnPmzGHfvn0kJCSQlpbGl19+CUCfPn0AWL58OQDnnHMOCxYsICcnh9jYWIYMGeJ6NLBHjx6EhISwePFiAEaOHMmyZcvYtWsXkZGRnHnmmUydOhWAbt26ER0dzYIFCwCz6bhmzRq2bdtGWFgY5513HpMnTwagU6dOJCYmkpmZCcCpp55KdnY2mzdvJigoiNGjRzN16lSqq6tJTk6mbdu2zJkzB4DBgwezfft2srOz8fPzY9y4cUybNo2Kigratm1Lp06d+PbbbwHIyMggJyeHtWvXAjBu3Di++uorSkpKSEpKonv37nzzzTeAuZKuuLiY1atXAzBmzBhmzZpFYWEhzZs3p1+/fnz99dcAnHjiiVRVVbFy5UoARo0axdy5c8nLyyM+Pp5BgwbxxRdfANC7d2/8/PxYtmwZAGeffTaLFi1iz549REdHM2zYMKZNmwZA9+7dCQsLY9GiRQCMGDGCX375hR07dhAREcHIkSP55JNPAOjSpQtxcXGuxu7pp5/O77//ztatWwkNDWXUqFF8/PHHGIZBx44dadGihWt22NChQ9m0aRMbN24kMDCQMWPG8Omnn1JVVUWHDh1o3749P/zwAwAnn3wyu3btYv369TgcDi666CKysrKYPHkybdq0oUuXLsyePRswv3bk5eW5nge+8MILmTFjBsXFxbRq1YpevXrxv//9D4D+/ftTWlrKqlWrALz6a0RwcDAXXHCBvkbgu18jcnJyKCws1NeI/V8jpk+fTllZmb5GNNLXiM+nf8GG3HL2+sezqTyEpZvzqTKsK3yaBddwRu/2hBZuoaV/ER2SwujbtwUzZsxg06KG+Rqxfft21/xKX/8aoe8jfPdrxPRvvuHs+fMJCAxk1WmnsXb0aKrDwjgtL0/fR6DvI3z9a8T27dvp06eP136NKC0tpbZse2Rsx44dJCUlMX/+fNLS0lzHH3/8cT744IPDDnJas2YNp512GrfccgtnnHEGO3fu5I477uCkk07i7bffPuznOdwKoTZt2jSJR8Z+/PFHTjnlFLvLEPEYyoSIlTIhjW1rXimZ+1cAzc/KYV9pleV8s8hg1wqgjNR4WkaHNnqNyoX4pIoKc7ewceMOHvvyS+jenR+3bFEmRA7h7fcJr3hkLCEhAX9/f7fVQHv27HFbNXTAk08+SUZGBnfccQdgdsHCw8M5+eSTeeyxx2jZsqXbe4KDgwluooPQevXqZXcJIh5FmRCxUiakoeWVVDI/O8f1GNjWvDLL+fAgfwYmx5ORmsCgjgl0TIzA4Tj+OUDHQ7kQn2IY8NlncOed5mNi0dFw5pnmuf2PxPSKjbWxQBHP40v3Cdu2nQ8KCuLEE090LbM6YPbs2aSnpx/2PaWlpfj5WUs+MOzJxtnYtjmw7ExETMqEiJUyIfWtrLKGuev28uSM3zjrpZ/o++hsbvhoOZMXbWVrXhkBfg76t4/jltM68dn1aax4cDhvX3ESfx3UgU7NI21vBoFyIT5k6VI45RQYO9ZsBrVqBVVVbpcpEyJWvpQJW7edv/XWW7n00kvp168faWlpvPnmm2zZsoXrrrsOgLvvvpvt27fz/vvvA+Zzntdccw2vvfaa65Gxm2++mf79+9OqVSs7fykiIiIiTU51jZNftxcwLyuHeVm5LN28j8oap+WaLi0izRVAqQn07xBHeLCt316KyI4dcM898P775gqh0FC44w5zlVB4uN3ViYgHsfWOPW7cOHJzc3nkkUfYuXMn3bt3Z8aMGbRr1w6AnTt3smXLFtf1V1xxBUVFRbzyyivcdtttxMTEcOqpp/L000/b9UuwVf/+/e0uQcSjKBMiVsqE1JVhGGzIKTEfAVufw4INuRSVV1uuaRUdwqCO5hyg9JQEmkV616P5yoU0aYYBI0bA/qG/XHIJPPEEtGlzxLcoEyJWvpQJ2/8JZ8KECUyYMOGw59599123YzfeeCM33nhjA1flHeoyPVzEFygTIlbKhNTGnsJy5mWbK4DmZeWws6Dccj4qJID0lAQyOpqrgNrHh3nEo1/HSrmQJsfpNBtB/v7gcMBDD8Ezz8ALL0At/mKrTIhY+VImbG8IybFbtWoVPXr0sLsMEY+hTIhYKRNyOMUV1SzckEtmljkMet3uYsv5oAA/TmofS3qK2QDqnhSNv5/3NoD+SLmQJmXBArj5ZrjsMvj7381jo0aZP2rZuFUmRKx8KRNqCImIiIg0YVU1TlZszSdzvdkAWrE1n2rnwc04HA7o3iraNQeoX/tYQgL9baxYRP7U5s1w113w8cfm69274dprISCg1o0gERGH4WPbcxUWFhIdHU1BQQFRUVF2l3NcKioqCA72ruf2RRqSMiFipUz4JsMwWLu7yNUAWrgxj9LKGss17ePDSN/fAEpLjic2PMimahufciFeragInnoKnn8eysvN5s+VV8Jjj0HLlsf0IZUJEStvz0Rdeh5aIeTFvvvuO0aOHGl3GSIeQ5kQsVImfMf2/LL9O4GZs4Byiiss5+PDg/Y3gOJJT0mgTVyYTZXaT7kQrzVzptn82bXLfD1kiNkY6tPnuD6sMiFi5UuZUEPIixUUFNhdgohHUSZErJSJpqugtIoFG3L2zwHKZWNOieV8aKA/A5LjyEgxdwPr0iISvyY0B+h4KBfitVq0MB8NS0mBZ5+F886rl8fDlAkRK1/KhBpCXiwxMdHuEkQ8ijIhYqVMNB3lVTUs27zPNQj61+0FHDIGCH8/B71aRzMo1WwA9WkbS1CAn30FezDlQrxGdjZkZsLll5uve/eG//3PXBlUj4+zKBMiVr6UCc0Q8mJFRUVERkbaXYaIx1AmRKyUCe9V4zRYs6PQ1QBavCmPimqn5ZqOiRFk7G8ADUiOIyok0KZqvYtyIR6voMCcCfTSS+aW8qtWQefODfbplAkRK2/PhGYI+YivvvqK8ePH212GiMdQJkSslAnvYRgGW/JKXQ2g+dm55JdWWa5pHhXs2gksIzWB5lEhNlXr3ZQL8VjV1fCvf8EDD8Deveax4cPBr2FX+ykTIla+lAk1hERERERskFNcwfzsXOatz2Fedg7b9pVZzkcGBzAgOZ5BqfEM6phASrMIHNpOWqRpmjULbr0VVq82X3fubA6MHjFC28iLSINRQ8iL9e3b1+4SRDyKMiFipUx4ltLKahZtzGNeVg6ZWbn8trPQcj7Q30HftrHmCqCOCfRMiibAX3OA6ptyIR4nPx/GjDG3lI+Lg4ceguuug8DGeQxUmRCx8qVMqCHkxZxO559fJOJDlAkRK2XCXtU1Tn7ZVuDaDn7Zln1U1VhHN3ZtGcWg1HgyUhPo3yGOsCB9a9bQlAvxCEVFcGBGSUwMPPggbN1qPi4WF9eopSgTIla+lAl91+HFVqxYQdeuXe0uQ8RjKBMiVspE4zIMg+y9xWSuN1cALdyQS1FFteWapJhQTu5ozgBKS4knIaL+dgqS2lEuxFZVVfDaa+YqoI8/NmcEAdx2m20lKRMiVr6UCTWERERERI7RroJycwVQtrkKaHdhheV8TFgg6SnxrmHQbePCNAdIxBcZBnz9Ndx+O6xdax57++2DDSERERto23kvVlpaSlhYmN1liHgMZULESpmof4XlVSzccGAOUA5Ze4ot54MD/OjfIc7VAOrWMgo/PzWAPIlyIY1u1SpzYPTs2ebrZs3MbeWvugr8/e2tDWVC5I+8PRPadt5HZGZmMlz/qiDiokyIWCkTx6+iuoblW/KZv78B9Mu2AmqcB/8tzeGAnknRrgZQ33axhATa/xc8OTLlQhrVo4+aj4c5nRAUBDffDPfcA9HRdlfmokyIWPlSJtQQ8mK5ubl2lyDiUZQJEStlou6cToPfdxW5VgAt2phHWVWN5ZrkhHAyUhPISI0nLTmB6LDG2QlI6odyIY2qWzezGTRmDDz9NCQn212RG2VCxMqXMqGGkBeLa+QdCEQ8nTIhYqVM1M7WvFLmZ5uDoOdn5ZBbUmk5nxARtL8BZP5Iigm1qVKpD8qFNBjDgM8/h8pKuOgi89gFF8DSpeDB21grEyJWvpQJzRDyYmVlZYSG6ptSkQOUCRErZeLw9pVUsmBDLpn7t4PfnFtqOR8W5M/A5HjSU+IZ1DGBzs0jNQi6CVEupEEsWwa33AJz50J8PGRlmdvJewFlQsTK2zOhGUI+Yvr06YwfP97uMkQ8hjIhYqVMmMqraliyaZ+rAbRqRwGH/nOYv5+DPm1izDlAHRPo1TqGoAA/+wqWBqVcSL3asQPuvRfee89cIRQSAtdfD4He8yipMiFi5UuZUENIREREmpQap8Gq7QWuBtCSzfuorHZarunUPMI1CLp/hzgiQ7znL28i4gHKyuC55+Cpp6CkxDz2l7/Ak09C27b21iYiUktqCHmxnj172l2CiEdRJkSsfCUThmGwKbfUbACtz2F+dg6F5dWWa1pGh7gaQOkp8SRGhdhUrdjNV3IhDWztWnjgAXNV0MCBMGmS+V8vpEyIWPlSJtQQ8mKBXrQUVaQxKBMiVk05E3uLKsxB0OvNVUA7Csot5yNDAkhLNmcAZaQmkJwQrjlAAjTtXEgD27YNWrc2f967t7l9/AknmAOkvfjrizIhYuVLmVBDyIstXbqUTp062V2GiMdQJkSsmlImSiqqWbQxz/UY2O+7iizng/z9OLFdrKsB1L1VFAH+mgMk7ppSLqSRbN0Kd90FU6fCqlVw4M/PY4/ZW1c9USZErHwpE2oIiYiIiMepqnHyy9Z8VwNo+ZZ8qp3WjVFPaBXFoP1bwZ/UPo7QIH+bqhWRJqm4GCZOhGeegfJycxXQ7NkHG0IiIl5O2857scLCQq//NYjUJ2VCxMqbMmEYBuv3FLseAft5Qy4llTWWa9rGhbnmAKWlxBMXHmRTteLNvCkXYhOnEz74AO6+G3buNI8NHmzOCerb197aGoAyIWLl7ZnQtvM+YsmSJZx66ql2lyHiMZQJEStPz8TOgjJXA2hedi57iyos52PDAknf3wDKSEmgbXyYTZVKU+LpuRCbGQYMGwZz5pivO3SAZ5+F88/36jlBR6NMiFj5UibUEPJiu3fvtrsEEY+iTIhYeVomCsqq+HlDLvOycsjMymHD3hLL+ZBAP/p3iGdQajzpKQl0axmFn1/T/AuY2MfTciEexuGA4cNh6VK4/3646SYIDra7qgalTIhY+VIm1BDyYt68jE2kISgTIlZ2Z6Kiuoalm/eZK4Cyclm5LZ9DxwD5OaBn6xjXHKC+7WIIDtAcIGlYdudCPExhITz+uNkEGjbMPHbLLXDVVZCYaG9tjUSZELHypUxohpAXq6qq8qkt8UT+jDIhYtXYmXA6DdbsLHStAFq8KY/yKqflmpRm4QxKTSA9NYGByfFEhyqz0rh0rxAAamrg7bfhvvtg717o3h1WrAB/32tKKxMiVt6eCc0Q8hGffvop48ePt7sMEY+hTIhYNUYmtuSWmjuBZecwPyuHfaVVlvPNIoNdK4AyUuNpGR3aoPWI/BndK4Rvv4Vbb4VffzVfd+oETz4Jfn721mUTZULEypcyoYaQiIiI1FpeSSXzs3Ncq4C25pVZzkcEBzAwOY70lAQGdUygY2IEjiY6iFVEvMy6dXD77fDll+br2Fh48EGYMAG8eDWAiMixUkPIi51wwgl2lyDiUZQJEav6yERZZQ2LNuUxf38DaPWOQsv5AD8HfdvGmtvBd4ynZ+sYAv1981/ZxTvoXuHDfvnFbAYFBJhNoAcfhLg4u6uynTIhYuVLmVBDyItFRETYXYKIR1EmRKyOJRPVNU5+3V7gWgG0bHM+lTXWOUBdWkSaDaDUBPp3iCM8WN9OiPfQvcKHVFXB2rXmfCCAMWPgrrvg8suhSxd7a/MgyoSIlS9lQt/BebGFCxeSnJxsdxkiHkOZELGqTSYMwyB7bwnzs3PIXJ/Dgg25FJVXW65pFR3CoI7mHKD0lASaRTbtLZiladO9wgcYBvzvf3DbbZCTA1lZEB1tbin/5JN2V+dxlAkRK1/KhBpCIiIiPmZPYTnzsnPIXJ/LvKwcdhWWW85HhwaSlhxPRkdzFVD7+DDNARIR77B6tTkwetYs83VCAqxZA2lp9tYlIuKBtO28F8vLyyNOzz2LuCgTIlYHMlFcUc3CDbnmbmBZOazbXWy5LijAj5Pax7oeAzuhVTT+fmoASdOke0UTtXevORPojTfA6TSHRN98M9x7r7k6SI5ImRCx8vZMaNt5H7Fq1SoGDx5sdxkiHkOZEDFVVjtZsTWfj75bytaqcFZszafGefDffxwO6N4q2tUA6tc+lpBAfxsrFmk8ulc0QXl50Lkz7Ntnvr7gApg4EVJS7K3LSygTIla+lAk1hLzY9u3b7S5BxKMoE+KrDMNg7e4iMtebK4AWbsyjtLJm/9lKANrHh7kaQGkp8cSEBdlXsIiNdK9oguLi4LzzzF3Enn8ehgyxuyKvokyIWPlSJtQQ8mLh4eF2lyDiUZQJ8SXb88uYt97cCWx+dg45xZWW8/HhQbQLLWfcKb1IT0mgTVyYTZWKeBbdK5qA5cvhn/+EV1+F1FTz2EsvQVgY+Gu1Y10pEyJWvpQJzRDyYk6nEz8/P7vLEPEYyoQ0ZQWlVSzYkLN/DlAuG3NKLOdDA/0ZkBzHoFRzN7DOzSMBQ5kQ+QPdK7zYzp3mTKB33zV3Ehs7Fj75xO6qvJ4yIWLl7ZnQDCEfMWXKFMaPH293GSIeQ5mQpqS8qoalm/eZK4Cycli5vYBD/wnH389Br9bRrgZQn7axBAVYv3mZPPljZULkD3Sv8EJlZeajYE8+CSX7m+EXXQRPPWVvXU2EMiFi5UuZUENIRETEA9Q4DdbsKHTtBLZ4Ux4V1U7LNR0TI1xzgAYkxxEZEmhTtSIijWTaNLjlFtiyxXw9YABMmqRt5EVE6oEaQl6sc+fOdpcg4lGUCfEmhmGwObeUedlmA2h+di75pVWWa5pHBbsaQBmpCTSPCqnT51AmRNwpF17mt9/MZlDr1uaKoPHjwYsf5fBEyoSIlS9lQg0hL5aQkGB3CSIeRZkQT5dTXMH87FzXMOjt+WWW85HBAQxMid/fAIonpVkEDofjmD+fMiHiTrnwcNu2mdvI9+xpvr71VggJgeuvN4dGS71TJkSsfCkTagh5sXnz5tG2bVu7yxDxGMqEeJrSymoWbcxjXlYOmVm5/Laz0HI+0N9B37axZgOoYwI9k6IJ8K+/f/lWJkTcKRceqqQEJk6EZ56Bjh1h2TJzx7DQULjtNrura9KUCRErX8qEGkIiIiL1pLrGyS/bCvY3gHJYvmUfVTXWzTy7tYwiIzWejNQE+neIIyxIt2IR8WFOJ3z4Idx9N+zYYR6LioLcXEhMtLc2EZEmTtvOe7G9e/fSrFkzu8sQ8RjKhDQ2wzDI2lPsWgG0cEMuRRXVlmuSYkI5uaM5Ayg9JZ74iOBGq0+ZEHGnXHiQzExzYPSSJebr9u3NFUKjR8NxPC4rdaNMiFh5eya07byPWLdunVf/QRWpb8qENIZdBeXM278TWGZWDnuKKiznY8ICSU+Jdw2DbhsXdlxzgI6HMiHiTrnwEPPmwcknmz+PjIR774V//MOcFySNSpkQsfKlTKgh5MW2bNlCRkaG3WWIeAxlQhpCYXkVCzfkuRpAWXuKLeeDA/zo3yHO1QDq1jIKPz/P+JdtZULEnXJhI8M4uPInPd1sCHXtCo88As2b21ubD1MmRKx8KRNqCHmx4ODGe+xAxBsoE1IfKqprWL4l39UAWrmtgBrnwaer/RzQIyna1QDq2y6WkEB/Gys+MmVCxJ1yYYOaGvj3v+Hll83HxKKizMbQd99BYKDd1fk8ZULEypcyoRlCIiLi05xOg993FbkaQIs25lFWVWO5JjkhnIxUcw5QWnI80WH6C4yISK18/705J2jlSvP1k0/CXXfZW5OISBOmGUI+YsqUKYwbN87uMkQ8hjIhtbU1r9TVAJqfnUteSaXlfEJEkKsBlJGaQFJMqE2VHh9lQsSdctFI1q+HO+6AL74wX8fEwIMPwoQJtpYl7pQJEStfyoQaQl7M6XTaXYKIR1Em5Ej2lVSyYEMumfuHQW/OLbWcDwvyZ2DywUHQnZpH2DYIuj4pEyLulIsGZhhmI+ill6CqCvz9zSbQgw9CfLzd1clhKBMiVr6UCTWEvFhKSordJYh4FGVCDiivqmHxpjxXA2j1jkIOfUDa389BnzYxZgOoYwK9WscQFOBnX8ENRJkQcadcNDCHA/buNZtBI0fCs8+ag6PFYykTIla+lAk1hLxYUlKS3SWIeBRlwnfVOA1WbS9wNYCWbN5HZbX1X3c6N4/c3wCKp3+HeCKCm/4tUJkQcadcNICZM6FTJ0hONl8/8QT85S9wxhn21iW1okyIWPlSJpr+d8NN2Ny5cxk/frzdZYh4DGXCdxiGwcacEtccoAXZuRSWV1uuaRkd4noELD0lnsSoEJuqtY8yIeJOuahHa9bAbbeZDaELLoDPPjOPJyWZP8QrKBMiVr6UCTWERETEK+wtqmB+dg6Z681VQDsKyi3nI0MCSE+JNxtAqQkkJ4Q3iTlAIiIeJycHHnoIXn/d3FI+MBA6dACnE/ya3uO3IiJNlRpCXmzIkCF2lyDiUZSJpqW4oppFG3OZl5XLvKwcft9VZDkf5O/Hie1iGdTR3Amse6soAvz1F5FDKRMi7pSL41BZCa+8Ao88AgUF5rFRo+CZZyA11dbS5NgpEyJWvpQJNYS82JYtW2jZsqXdZYh4DGXCu1XVOPlla75rDtDyLflUOw9OgnY44IRWUeZW8CkJnNQ+jtAgfxsr9nzKhIg75eI4vPqq+YgYQO/e8PzzMHSorSXJ8VMmRKx8KRNqCHmxDRs2MGDAALvLEPEYyoR3MQyDdbuLmbe/AfTzhlxKKmss17SNC3PNAUpLiScuPMimar2TMiHiTrmoo8pKCNr/tfdvf4OPPoJrr4UrrjC3lBevp0yIWPlSJtQQ8mIBAfrfJ3IoZcLz7cgvczWA5mXnsreownI+LjyItP1zgDJSEmgbH2ZTpU2DMiHiTrmopd274b77YPlyWLjQbP6EhZk/13y2JkWZELHypUw4DMMw/vyypqOwsJDo6GgKCgqIioqyuxwRkSatoKyKnzfkunYD27C3xHI+JNCP/h3iGZQaT0ZqAl1bROHnp79oiIjYprwcXnjB3Dq+aP/stm+/hWHDbC1LRERqpy49D99pfTVBn332GaNHj7a7DBGPoUzYr6K6hqWb9+1vAOXy67Z8DhkDhJ8DeraOMVcApSbQt10MwQF65KChKBMi7pSLIzAM+PRTuPNO2LTJPNa/P0yaBOnptpYmDUuZELHypUyoIeTFKisr7S5BxKMoE43P6TRYs7PQtQJo8aY8yquclmtSmoW7GkADkuOJDg20qVrfo0yIuFMuDiM319wtLDPTfJ2UBE89BX/5i7aR9wHKhIiVL2VCDSEv1q5dO7tLEPEoykTj2JJb6toJbH52DvtKqyznEyODzZ3AUhPISI2nZXSoTZWKMiHiTrk4jLg4qK42ZwTdeSfcfjuEh9tdlTQSZULEypcyoYaQF0tJSbG7BBGPokw0jLySSuZn57hWAW3NK7OcjwgOYGBynGs3sNTECBwaOOoRlAkRd8oFUFoKL70EEyZAVJQ5JPrf/4bISGjd2u7qpJEpEyJWvpQJNYS82Pfff8/48ePtLkPEYygT9aOssoZFm/Jcu4Gt3lFoOR/o76BPm1izAdQxnp6tYwj01yMFnkiZEHHn07lwOs1t4++6C7Zvh4ICePJJ81zXrvbWJrbx6UyIHIYvZUINIRERH1dd4+TX7QWuFUDLNudTWWOdA9SlRaQ5B6hjAv3bxxEerNuHiIhXmT8fbr4ZFi82X7drByedZGtJIiJiL31H78UGDRpkdwkiHkWZqB3DMMjeW+JaAbRgQy5F5dWWa5JiQsnYvxV8ekoCzSKDbapWjocyIeLO53KxeTP8858wZYr5OiIC7r3XbA6FhNhamngGn8uEyJ/wpUzUqSG0du1aJk+ezE8//cSmTZsoLS2lWbNm9OnThzPOOIPRo0cTHKy/NDSWPXv20KZNG7vLEPEYysSR7SksZ152Dpnrc5mXlcOuwnLL+ejQQNJT4l1zgNrFh2kOUBOgTIi487lcPPSQ2QxyOOCqq+DRR6FFC7urEg/ic5kQ+RO+lIlaNYSWL1/OnXfeyU8//UR6ejr9+/dn1KhRhIaGkpeXx6pVq7j33nu58cYbufPOO7n55pvVGGoE69at48QTT7S7DBGPoUwcVFRexcINeczbPwx63e5iy/mgAD9Oah/ragCd0Coafz81gJoaZULEXZPPRU0NFBdDdLT5+tFHYc8eePxx6N3b1tLEMzX5TIjUkS9lolYNoVGjRnHHHXcwZcoU4uLijnjdggULmDRpEs899xz33HNPvRUpIiJHV1ntZMXWfNd28Cu25lPjNFznHQ7okRTtagCd2C6WkEB/GysWEZF6N2cO3HILpKbC1Knmsdat4euvbS1LREQ8k8MwDOPPLqqsrCQoKKjWH7Su1zemwsJCoqOjKSgoICoqyu5yRESOiWEY/L6ryDUHaOHGPEorayzXtI8PczWA0lLiiQnzzK/LIiJynLKy4I47YPp083VMDPz+OzRvbmdVIiJig7r0PGq1Qqi2zZ3t27eTlJTksc2gpuaLL77gvPPOs7sMEY/R1DOxPb+MeevNncDmZ+eQU1xpOR8fHuRqAKWnxtM6NsymSsVTNPVMiByLJpWL/Hx47DF46SWoqgJ/f7juOnNuUEKC3dWJl2hSmRCpB76UiXrZZWzXrl08/vjj/Otf/6KsrKw+PqTUQmlpqd0liHiUppaJgtIqFmzI2f8YWC4bc0os50MD/RmQHGduB5+aQOfmkfhpDpAcoqllQqQ+NJlcLF4MI0dCTo75+swz4bnnoFs3e+sSr9NkMiFST3wpE7VuCOXn5/P3v/+dWbNmERgYyF133cUNN9zAQw89xLPPPssJJ5zAv//974asVf6gdevWdpcg4lG8PRPlVTUs3bzPNQfo1+0FHPpQr7+fg95tYsjYvxtYn7axBAX42VeweDxvz4RIQ2gyuejWDYKDoWtXsxE0YoTdFYmXajKZEKknvpSJWjeE7rnnHubOncvll1/OzJkzueWWW5g5cybl5eX873//45RTTmnIOuUwuulfgEQsvC0TNU6DNTsKXQ2gxZvyqKh2Wq7pmBjhegxsQHIckSGBNlUr3sjbMiHSGLw2F7/9Bm+8Ac8/D35+EB4O330HyckQqHuDHDuvzYRIA/GlTNS6IfT111/zzjvvcNpppzFhwgRSU1Pp1KkTL7zwQgOWJ0cza9Ysxo8fb3cZIh7D0zNhGAabc0tdDaD52bkUlFVZrmkeFexqAGWkJtA8KsSmaqUp8PRMiNjB63KRm2vOBHrtNXNL+d694YorzHOdO9tYmDQVXpcJkQbmS5modUNox44drk5ZcnIyISEhXH311Q1WmIhIU1BeVcO3v+3mp3XmLKDt+dY5a5HBAQxMiXc1gFKaheNwaA6QiIjPq6yEV1+Fhx82h0cDnHsupKfbWpaIiDQdtW4IOZ1OAg9Zjurv7094eHiDFCW1k5aWZncJIh7FUzJhGAYLsnP536pdfPDzZsu5QH8HfdvGmg2gjgn0TIomwF9zgKRheEomRDyJx+fCMOCrr+C222D9evNYz54waRKceqq9tUmT5PGZEGlkvpSJWjeEDMPgiiuuIDg4GIDy8nKuu+46t6bQtGnT6rdCOaKCggK7SxDxKHZn4redhbz03Xr+t2qX5Xh4kD/dWkVxw6kdOal9LGFB9bLBo8ifsjsTIp7IK3Lx+ONmMygx0fz5lVeaW8qLNACvyIRII/KlTNT6byWXX3655fUll1xS78VI3axZs4ZevXrZXYaIx7ArE6u2F3Dv57/yyzb3m8dD53Tj0rT2+Gs7eLGB7hMi7jwyF7t3m0OiIyLA4YAXXoAvvoC774aoKLurkybOIzMhYiNfykStG0LvvPNOQ9YhIuKVqmucXPnuYvYWVbiO3T2iCxf1b0t0qHZ9ERGRoygvhxdfNFcB3XQTPPaYeXzgQPOHiIhIA3IYhmHU9uLNmzcza9YsqqqqGDJkiFdux1ZYWEh0dDQFBQVEefm/uFRXVxMQoEdPRA6wIxPzs3L4y78W4ueA2beeQkqziEb9/CJHo/uEiDuPyIVhwGefwZ13wsaN5rFBg+DHH80t5UUakUdkQsSDeHsm6tLzqPUdZ+7cuZxwwglce+213HDDDfTu3ZvJkycfd7Fy7GbOnGl3CSIexY5MZGblAHB+n9ZqBonH0X1CxJ3tuVi6FE45BcaONZtBrVrBe++pGSS2sT0TIh7GlzJR67vO/fffz9ChQ9m2bRu5ubn89a9/5c4772zI2uRPFBUV2V2CiEexIxOLNuYBMCA5rtE/t8if0X1CxJ2tuXjzTejXD376CUJD4YEHYN06uOwyNYPENrpXiFj5UiZqvQ7q119/Ze7cubRq1QqA5557jrfeeot9+/YRGxvbYAXKkbVo0cLuEkQ8SmNkImtPMTvyy9hVUM6uwnKWbN4HQP/2agiJ59F9QsSdrbkYMQLCwuCCC+CJJ6BNG/tqEdlP9woRK1/KRK0bQvn5+SQmJrpeh4eHExYWRn5+vhpCNunbt6/dJYh4lIbOxAcLNnH/F6vdjrePD6NdfFiDfm6RY6H7hIi7RsuF0wmTJ8OSJTBpknmsTRvIzgYf+suGeD7dK0SsfCkTdVqbumbNGlauXOn6YRgGv/32m+WYNJ4ZM2bYXYKIR2nITHz/+24e+WqN6/XJHRM4v08Slw5sx0vj++BwaFt58Ty6T4i4a5RcLFgAaWlwySXmFvLz5x88p2aQeBjdK0SsfCkTdRqdPWzYMP64KdnZZ5+Nw+HAMAwcDgc1NTX1WqCIiJ2y9hQzcebvzFqzG4DmUcH894ZBNI8KsbkyERHxOJs3w113wccfm68jIuCee6BPH3vrEhEROYxaN4Q2HtgSUzzGSSedZHcJIh6lvjOxcls+Y15bQGWNE4CLB7TlrhFdiAwJrNfPI9JQdJ8QcdcguSgtNWcCPfcclJeDwwFXXgmPPQYtW9b/5xOpR7pXiFj5UiZq3RB67733uP322wkL05wMT1FeXm53CSIepb4zMXXJNiprnPRqHc09I7syIDm+Xj++SEPTfULEXYPkwjDgnXfMZtCQIfD881oVJF5D9woRK1/KRK1nCD388MMUFxc3ZC1SR7/++qvdJYh4lPrMRI3TYPb+x8RuPLWjmkHilXSfEHFXb7lYuNAcHA0QHg7/93/w+efw/fdqBolX0b1CxMqXMlHrhtAfZweJiDRlc9fvZVdhObFhgZzcKcHuckRExFNkZ8Po0TBwIHz44cHjo0aZP7TJgIiIeIk6DZXWLjqe5fzzz7e7BBGPUl+Z2FNUzkvfrQfgvN5JBAf418vHFWlsuk+IuDvmXBQUmDOBXnoJKivBzw82bKjf4kRsoHuFiJUvZaJO284PGzaMvn37HvWHNJ45c+bYXYKIR6mPTCzIzmXIM3NYviUfgDEntj7ujyliF90nRNzVORfV1fD669CxIzz7rNkMGj4cVq6Ehx5qiBJFGpXuFSJWvpSJOq0QOuOMM4iIiGioWqSO9u3bZ3cJIh7leDOxansBV767iPIqJ+3iw7hhaCrdk6LrqTqRxqf7hIi7Oufir3+FDz4wf96li7mT2IgRejRMmgzdK0SsfCkTdWoI3XHHHSQmJjZULVJHCQmaayJyqOPJxIa9xZz/6jyqagwGJsfx7pX9CQnUo2Li3XSfEHFX51xcey3MmGGuBrr2WggMbJC6ROyie4WIlS9lwmHUclq0v78/O3fu9PqGUGFhIdHR0RQUFBAVFWV3OceluLhYK7ZEDnGsmVi4IZdxb/7sev3Z9emc2C62PksTsYXuEyLujpqLvDx4+GGIj4cHHjh4vKTE3ElMpAnSvULEytszUZeeh3YZ82Jffvml3SWIeJRjzcTrP2a7fv706B5qBkmTofuEiLvD5qKqyhwWnZpq/vfJJ2Hv3oPn1QySJkz3ChErX8pErR8Z27hxo08tnRIR31BRXcPPG/IA+N8/TqZrS+9eOSgiInVgGPD113D77bB2rXmsRw+YNAmaNbO3NhERkQZWqxVCTz31FM2aNcPP788vX7hwIV9//XWtC3j11Vfp0KEDISEhnHjiifz0009Hvb6iooJ7772Xdu3aERwcTEpKCv/+979r/fmakj59+thdgohHOZZMfPfbHsqqamgWGUyXFpENUJWIfXSfEHHnykV2NpxxBpxzjtkMatYM3ngDli+HYcPsLVKkEeleIWLlS5mo1QqhNWvW0LZtW8aOHcu5555Lv379aLb/X02qq6tZs2YNmZmZfPjhh+zcuZP333+/Vp98ypQp3Hzzzbz66qtkZGTwxhtvMGLECNfnO5wLL7yQ3bt38/bbb5OamsqePXuorq6u5S9XROSgPYXlPPjf1QCc3bMlDu0YIyLiOwIC4KefICgIbr4Z7rkHorWzpIiI+I5arRB6//33+f7773E6nVx88cW0aNGCoKAgIiMjCQ4Opk+fPvz73//miiuu4Pfff+fkk0+u1Sd//vnnueqqq7j66qvp2rUrL7zwAm3atOG111477PUzZ87kxx9/ZMaMGZx22mm0b9+e/v37k56eXvtfcROyfPlyu0sQ8Sh1yURVjZMbPlrO3qIKurSI5M4zujRgZSL20H1C5BAVFfDf/x7MRbt28O678Ntv8PTTagaJz9K9QsTKlzJR6xlCPXv25I033uD1119n5cqVbNq0ibKyMhISEujdu3ed5wtVVlaydOlS7rrrLsvx4cOHM3/+/MO+57///S/9+vVj4sSJfPDBB4SHh3Puuefy6KOPEhoaetj3VFRUUFFR4XpdWFhYpzpFpGl65pu1LNqUR0RwAK9e3JfQIG0xLyLSJBkGTJsGd94JGzaQ8NBDB8+NG2dbWSIiInardUPoAIfDQa9evejVq9dxfeKcnBxqampo3ry55Xjz5s3ZtWvXYd+zYcMGMjMzCQkJ4fPPPycnJ4cJEyaQl5d3xDlCTz75JA8//LDb8alTpxIWFsYFF1zAd999R0FBAYmJifTv35+vvvoKgL59++J0OlmxYgUA5513HpmZmeTm5hIXF8fgwYOZPn06YDbMAgMDWbp0KQBnnXUWS5YsYffu3URFRTF8+HA+/fRTAE444QQiIiJYuHAhAGeccQarVq1i+/bthIeHc/bZZzNlyhQAOnfuTEJCAvPmzQPgtNNOY926dWzZsgV/f/MvsFOmTMHpdJKSkkJSUhJz584FYMiQIWzZsoUNGzYQEBDA2LFj+eyzz6isrKRdu3akpKTw/fffAzBo0CD27NnDunXrABg/fjxffPEFpaWltG7dmm7dujFr1iwA0tLSKCgoYM2aNQCMHTuWmTNnUlRURIsWLejbty8zZswA4KSTTqK8vJxff/0VgPPPP585c+awb98+EhISSEtLc01xP/Cs5oGO7DnnnMOCBQvIyckhNjaWIUOG8PnnnwPQo0cPQkJCWLx4MQAjR45k2bJl7Nq1i8jISM4880ymTp0KQLdu3YiOjmbBggWA2XRcs2YN27ZtIywsjPPOO4/JkycD0KlTJxITE8nMzATg1FNPJTs7m82bNxMUFMTo0aOZOnUq1dXVJCcn07ZtW+bMmQPA4MGD2b59O9nZ2fj5+TFu3DimTZtGRUUFbdu2pVOnTnz77bcAZGRkkJOTw9r9AyzHjRvHV199RUlJCUlJSXTv3p1vvvkGgAEDBlBcXMzq1eajTWPGjGHWrFkUFhbSvHlz+vXr55rbdeKJJ1JVVcXKlSsBGDVqFHPnziUvL4/4+HgGDRrEF198AUDv3r3x8/Nj2bJlAJx99tksWrSIPXv2EB0dzbBhw5g2bRoA3bt3JywsjEWLFgEwYsQIfvnlF3bs2EFERAQjR47kk08+AaBLly7ExcW5Grunn346v//+O1u3biU0NJRRo0bx8ccfYxgGHTt2pEWLFq7ZYUOHDmXTpk1s3LiRwMBAxowZw6effkpVVRUdOnSgffv2/PDDDwCcfPLJ7Nq1i/Xr1+NwOLjooosICAhg8uTJtGnThi5dujB79mwA0tPTycvL4/fffwcg+oTBvDl3AwBXdgsgLrDa9Wegf//+lJaWsmrVKgCv/hoRHBzMBRdcoK8R+O7XiLi4OAoLC/U1Yv/XiOnTp1NWVvanXyMuvPBCZsyYQXFxMa1ataJXr17873//A/Q1wtu+Rqx6/32SX36ZxP3/b0tjYvArKmLVqlX6GqHvI/Q1AvNrRJ8+fVx/hn3ta4S+j9DXiMN9jaiurmbbtm1e+zWitLSU2nIYNu0nv2PHDpKSkpg/fz5paWmu448//jgffPCB6zfzUMOHD+enn35i165dRO9f1jtt2jTGjBlDSUnJYVcJHW6FUJs2bSgoKCAqyrt3E5o9ezann3663WWIeIzaZGLD3mLOfWUexRXV/G1wMveM7NpI1Yk0Pt0nxGft2AH33gvvvWeuEAoJgTvugDvvZPaCBcqFyCF0rxCx8vZMFBYWEh0dXaueR51XCNWXhIQE/P393VYD7dmzx23V0AEtW7YkKSnJ1QwC6Nq1K4ZhsG3bNjp27Oj2nuDgYIKDg+u3eA+Rk5NjdwkiHuXPMlFaWc31Hy6juKKa/h3iuPOMzo1UmYg9dJ8Qn+R0wtChsH8lAhdfDE8+CW3aAMqFyB8pEyJWvpSJWg2VbghBQUGceOKJrmVWB8yePfuIQ6IzMjLYsWMHxcXFrmPr1q3Dz8+P1q1bN2i9nig2NtbuEkQ8ytEyYRgG936+irW7i2gWGcwr4/sQ4G/bl0CRRqH7hPgMwzAbQQB+fnD33TBwIPz8M3z4oasZBMqFyB8pEyJWvpQJ2x4ZA3P2zaWXXsrrr79OWloab775Jm+99RarV6+mXbt23H333Wzfvt21jX1xcTFdu3Zl4MCBPPzww+Tk5HD11Vdzyimn8NZbb9Xqc9Zl+ZSnKy8vJyQkxO4yRDzG0TLx4c+buW/6Kvz9HHx09QAGJMc3cnUijU/3CfEJP/8Mt9wCEybApZeax5xOcDjMH3+gXIhYKRMiVt6eibr0PI77n8cLCwuZPn06v/32W53fO27cOF544QUeeeQRevfuzdy5c5kxYwbt2rUDYOfOnWzZssV1fUREBLNnzyY/P59+/fpx8cUXc8455/DSSy8d7y/DKx0YeiYipiNlYsXWfB750hxM+M8zO6sZJD5D9wlp0rZuNR8HS0szm0KPP25dJXSYZhAoFyJ/pEyIWPlSJuo8Q+jCCy9k8ODB3HDDDZSVldGvXz82bdqEYRh8/PHHjB49uk4fb8KECUyYMOGw59599123Y4dO8xYR+TN5JZX8/T/LqKxxcuYJLbjm5GS7SxIRkeNRXAwTJ8Izz0B5udn4ufxysyHkp0eBRUREaqvOd825c+dy8sknA2bnzDAM8vPzeemll3jsscfqvUA5sh49ethdgohH+WMmapwGN09Zwfb8MjokhDNxbE8cR/gXY5GmSPcJaXK+/ho6dYJHHzWbQYMHw5Il8M470KpVrT6EciFipUyIWPlSJurcECooKCAuLg6AmTNnMnr0aMLCwjjrrLNYv359vRcoR+bNzzWKNIQ/ZuLl79czd91eQgL9eO2SvkSFBNpUmYg9dJ+QJicqCnbuhA4d4NNPYc4c6Nu3Th9CuRCxUiZErHwpE3VuCLVp04YFCxZQUlLCzJkzGT58OAD79u3zqd84T7B48WK7SxDxKIdmYs7aPbz4ndmkfvKCHnRp4d1D5EWOhe4T4vU2bICpUw++Pvlk+Pxz+O03GD36iHOCjka5ELFSJkSsfCkTdW4I3XzzzVx88cW0bt2aVq1aMWTIEMB8lMyXllaJiOfatq+Um6eswDDg4gFtOb9Pa7tLEhGRuigshH/+E7p2NecDbd168NyoURAcbFtpIiIiTUWttp0vLCy0bFe2dOlStmzZwumnn05ERAQAX3/9NTExMWRkZDRctfWgKW07X1BQQHR0tN1liHiMgoICQsIjGPv6AlZuK6Bn62imXpdGcIC/3aWJ2EL3CfE6NTXw9ttw332wd6957PTT4bXXICWlXj6FciFipUyIWHl7Jup92/nY2Fj27NkDwKmnnkpKSgrnn3++qxkEcNZZZ3l8M6ipWbZsmd0liHiUZcuW8ciXa1i5rYCYsEBevbivmkHi03SfEK/y3XfQpw9ce63ZDOrcGb76Cr75pt6aQaBciPyRMiFi5UuZqNW28xEREeTm5pKYmMicOXOoqqpq6LqkFnbt2mV3CSIeZcaaXKZuLcXhgBfG9aZ1bJjdJYnYSvcJ8Rq7d8NZZ0FFBcTGwkMPwfXXQ2D9bwagXIhYKRMiVr6UiVo1hE477TSGDh1K165dATj//PMJCgo67LXff/99/VUnRxUZGWl3CSIe4/ddhUzfbg62/8ewjgzpnGhzRSL2031CPFppKYTtb9w3b27ODMrPhwcfhP072jYE5ULESpkQsfKlTNRqhlBZWRnvvfce2dnZPPfcc1xzzTWEhR3+X94nTZpU70XWp6Y0Q6i6upqAgFr19ESatMLyKs57ZR4bc0oY3KkZ715xEn5+dd95RqSp0X1CPFJVFbz+Ojz8sPlI2MCBjfrplQsRK2VCxMrbM1GXnketfpWhoaFcd911ACxZsoSnn36amJiY4y5Ujs/UqVMZP3683WWI2MowDO6Y+gsbc0qICXTywrjeagaJ7Kf7hHgUw4AZM+D22+H3381jr73W6A0h5ULESpkQsfKlTNS57fXDDz80RB0iIsfkrZ828M3q3QT5+/GX9sXEhR/+cVYREbHRqlVw220wa5b5OiEBHn0Urr7a3rpERER8WK0aQrfeeiuPPvoo4eHh3HrrrUe99vnnn6+XwuTPdevWze4SRGy1cEMuT89cC8AD53SjR2i+vQWJeBjdJ8QjPPAAPP44OJ3mkOh//APuvRdsWm2uXIhYKRMiVr6UiVo1hJYvX+7aWWzZsmU4HHocwxNER0fbXYKIbfYUlnPD5OXUOA0u6JPExQPasnnzn45EE/Epuk+IR2jf3mwGnX8+TJwIqam2lqNciFgpEyJWvpSJWjWEDn1MbM6cOQ1Vi9TRggULaN++vd1liDS6qhonN3y0nL1FFXRpEcnj5/fA4XAoEyJ/oExIozMM+OIL8PeHc84xj11+OXTtCmlp9ta2n3IhYqVMiFj5Uib86vqGv/71rxQVFbkdLykp4a9//Wu9FCUicjTPfLOWRZvyiAgO4NWL+xIa5G93SSIismIFnHqquRJowgRzW3kwm0Me0gwSERGRg2q17fyh/P392blzJ4mJiZbjOTk5tGjRgurq6notsL41pW3nc3NziY+Pt7sMkUY1c9VOrvtwGQCvX9KXM7u3dJ1TJkSslAlpFLt2wX33wb//ba4QCgkxB0jfcw+EhdldnRvlQsRKmRCx8vZM1KXnUesVQoWFhRQUFGAYBkVFRRQWFrp+7Nu3jxkzZrg1iaRhrVmzxu4SRBrVhr3F3D51JQB/G5xsaQaBMiHyR8qENKiyMnjiCejYEd5+22wGXXSRuaX8Y495ZDMIlAuRP1ImRKx8KRO13nY+JiYGh8OBw+GgU6dObucdDgcPP/xwvRYnR7dt2za7SxBpNKWV1Vz/4TKKK6rp3yGOO8/o7HaNMiFipUxIg1q61NwtDKB/f5g0CdLT7a2pFpQLEStlQsTKlzJR64bQDz/8gGEYnHrqqXz22WfExcW5zgUFBdGuXTtatWrVIEXK4YV56L+8idQ3wzC49/NVrN1dRLPIYF4Z34cAf/cFjsqEiJUyIfVu925o3tz8+aBBcMMNMHAgjB8PfnUeTWkL5ULESpkQsfKlTNR5htDmzZtp27at124935RmCIn4ig9/3sx901fh7+fgo6sHMCDZe5/pFRHxSlu3wt13w/TpsHYtJCXZXZGIiIgcRr3PEFq5ciVOpxOAgoICfv31V1auXHnYH9J4Jk+ebHcJIg1uxdZ8HvnSfI73n2d2PmozSJkQsVIm5LiVlMCDD0LnzvCf/5iv//c/u6s6LsqFiJUyIWLlS5mo1SNjvXv3ZteuXSQmJtK7d28cDgeHW1jkcDioqamp9yJFxDfllVTy9/8so7LGyZkntOCak5PtLklExDc4nfDBB+ZOYTt2mMcGDTLnBPXrZ29tIiIiUi9q1RDauHEjzZo1c/1cPMPhhnuLNBU1ToObp6xge34ZHRLCmTi2558+qqpMiFgpE3JMnE445RTIzDRfd+gAEyfC6NHgpSMDDqVciFgpEyJWvpSJWjWE2rVrd9ifi70SExPtLkGkwbz8/XrmrttLSKAfr13Sl6iQwD99jzIhYqVMyDHx84OMDPjlF7jvPrjpJggJsbuqeqNciFgpEyJWvpSJOm8H8d577/H111+7Xt95553ExMSQnp7O5s2b67U4ObrMA/9yJ9LEzFm7hxe/Ww/Akxf0oEuL2g2AVyZErJQJqZXCQnNg9KJFB4/dey+sXw933tmkmkGgXIj8kTIhYuVLmahzQ+iJJ54gNDQUgAULFvDKK68wceJEEhISuOWWW+q9QBHxLdv2lXLzlBUYBlw8oC3n92ltd0kiIk1TTQ289RZ07AhPPQU33wwHZkRGRh7cXl5ERESapFo9MnaorVu3kpqaCsD06dMZM2YMf/vb38jIyGDIkCH1XZ8cxamnnmp3CSL1qqK6hgn/WUZ+aRU9W0fzwDnd6vR+ZULESpmQI/r+e7jlFjiwQ2ynTuYAaR+gXIhYKRMiVr6UiTqvEIqIiCA3NxeAWbNmcdpppwEQEhJCWVlZ/VYnR5WdnW13CSL16pEv17ByWwExYYG8enFfggP86/R+ZULESpkQN+vXw6hRMGyY2QyKiTF3Dvv1Vzj77CYxNPrPKBciVsqEiJUvZaLODaHTTz+dq6++mquvvpp169Zx1llnAbB69Wrat29f3/XJUWhmkzQl05Zt4z8Lt+BwwAvjetM6NqzOH0OZELFSJsTNjz/CF1+Avz/ceCNkZZmPigUF2V1Zo1EuRKyUCRErX8pEnRtC//d//0daWhp79+7ls88+Iz4+HoClS5cyfvz4ei9QjizIh755k6bt912F3PP5rwD8Y1hHhnQ+tsn+yoSIlTIhVFfDunUHX195pdkI+vVXeOkl2P99nC9RLkSslAkRK1/KhMMwDkwP9A2FhYVER0dTUFBAVFTtdi4SkYZTWF7Fea/MY2NOCYM7NePdK07Cz6/pP7IgItLgZs6EW2+F4mJYuxb2bwoiIiIiTVddeh51XiEEkJ+fz3PPPcfVV1/NNddcw/PPP09BQcExFSvHburUqXaXIHJcDMPgjqm/sDGnhKSYUF4Y1/u4mkHKhIiVMuGj1qyBESPMH7/9BqWlsHq13VV5DOVCxEqZELHypUzUuSG0ZMkSUlJSmDRpEnl5eeTk5DBp0iRSUlJYtmxZQ9QoR1BdXW13CSLH5a2fNvDN6t0E+fvx6sV9iQs/vuWZyoSIlTLhY3Jy4IYboGdPc3VQYCDcdps5J6hfP7ur8xjKhYiVMiFi5UuZqPO287fccgvnnnsub731FgEB5turq6u5+uqrufnmm5k7d269FymHl5ycbHcJIsds4YZcnp65FoAHzulGrzYxx/0xlQkRK2XCh+zaBV27Qn6++XrUKHjmGUhNtbMqj6RciFgpEyJWvpSJOjeElixZYmkGAQQEBHDnnXfST//61Kjatm1rdwkix2RPYTk3TF5OjdPggj5JXDygfv4sKxMiVsqED2nRAoYOhY0b4fnnzZ/LYSkXIlbKhIiVL2Wizo+MRUVFsWXLFrfjW7duJTIysl6KktqZM2eO3SWI1FlVjZMbPlrO3qIKOjeP5PHze+Bw1M8QaWVCxEqZaMJ++QXOPhu2bz947N//hiVL1Az6E8qFiJUyIWLlS5moc0No3LhxXHXVVUyZMoWtW7eybds2Pv74Y66++mptOy8if+qZb9ayaFMeEcEBvHZJX0KD/O0uSUTEe+zaBddcA336wNdfwwMPHDwXEwP++poqIiIitVPnR8aeffZZHA4Hl112mWvYUmBgINdffz1PPfVUvRcoRzZ48GC7SxCpk5mrdvLm3A0APDu2J8nNIur14ysTIlbKRBNSXg6TJsETT5jbyAOMGwf3329vXV5IuRCxUiZErHwpE3VeIRQUFMSLL77Ivn37WLFiBcuXLycvL49JkyYRHBzcEDXKEWw/dJm4iIfbsLeY26euBOBvg5M5s3vLev8cyoSIlTLRREybZg6Mvucesxl00kmQmQkffwzt29tdnddRLkSslAkRK1/KRJ0bQgeEhYURExNDXFwcYWFh9VmT1FJ2drbdJYjUSmllNdd/uIziimr6d4jjzjM6N8jnUSZErJSJJuLnn2HTJkhKgg8+MF9nZNhdlddSLkSslAkRK1/KRJ0bQtXV1dx///1ER0fTvn172rVrR3R0NPfddx9VVVUNUaMcgZ/fMffzRBqNYRjc+/kq1u4uollkMK+M70OAf8P82VUmRKyUCS+1bRusXXvw9b33mo+KrV0Ll1wC+v96XJQLEStlQsTKlzLhMAzDqMsbrrvuOj7//HMeeeQR0tLSAFiwYAEPPfQQ5513Hq+//nqDFFpfCgsLiY6OpqCggKioKLvLEWnyPvx5M/dNX4W/n4OPrh7AgOR4u0sSEfFMpaXwzDPw9NPQty/89BPU0y6MIiIi4hvq0vOoc+tr8uTJvPvuu1x77bX07NmTnj17cu211/Lvf/+byZMnH3PRUnfTpk2zuwSRo1qxNZ9HvlwDwD/P7NzgzSBlQsRKmfASTid8+CF06gQPPQRlZebxfftsLaupUi5ErJQJEStfykSdG0IhISG0P8wAw/bt2xMUFFQfNUktVVRU2F2CyBHllVTy9/8so7LGyZkntOCak5Mb/HMqEyJWyoQXmD8fBg6ESy+F7duhXTuYMsVcHRQXZ3d1TZJyIWKlTIhY+VIm6twQ+vvf/86jjz5q+U2qqKjg8ccf54YbbqjX4uTo2rZta3cJIodV4zS4ecoKtueX0SEhnIlje+JohMcelAkRK2XCw337rTkcevFiiIiAJ5+E33+HCy/Uo2INSLkQsVImRKx8KRMBdX3D8uXL+e6772jdujW9evUC4JdffqGyspJhw4ZxwQUXuK71paVWdujUqZPdJYgc1svfr2fuur2EBPrx2iV9iQoJbJTPq0yIWCkTHsgwDjZ7hg6F3r2hXz949FFo0cLW0nyFciFipUyIWPlSJuq8QigmJobRo0dz9tln06ZNG9q0acPZZ5/NBRdcQHR0tOWHNKxvv/3W7hJE3MxZu4cXv1sPwBPn96BLi8Yb3q5MiFgpEx6kpgb+9S9IS4PycvOYv7+5hfxbb6kZ1IiUCxErZULEypcyUecVQu+8805D1CEiTcC2faXcPGUFhgEXD2jLBX1b212SiIj9fvgBbrkFfvnFfP3mm3DTTebPg4P/n737Dm+q7t84/k73omVT9iyj7CE8IBtEQHkEZKio4PwBKoJ7IqDiYokIDhyPioAoS0SWMgVZBRllyd6r0JaW7vP7I1I4hlVoe5Ke+3VdvWhOTpJPU+6EfPgO6+oSERERW8vyCCFxH7feeqvVJYhkSk5Lp/+kKM4mplKrVBiDO0Xmeg3KhIiZMmGxXbugc2do3drZDAoLg5EjoW9fqyuzNeVCxEyZEDGzUybUEPJgp06dsroEkUzDfo5m06FY8gf5Mr5XPfx9vHO9BmVCxEyZsEh6Ojz7LFSvDrNmOaeG9e8Pf/8NzzwD2pXVUsqFiJkyIWJmp0yoIeTBduzYYXUJIgBMjzrEpNUHcDhgTM86lCoQZEkdyoSImTJhEW9v2L0bUlOhfXvYtAk+/hgKF7a6MkG5EPk3ZULEzE6ZUENIRG7K9mNxvDJjMwBPt4mgZZWiFlckImKB+fPh6NGLl0eMgLlz4ddfITL3p9CKiIiIXIvDMAzjZu/k7Nmz5M+fPxvKyXlxcXGEhYURGxtLaGju7X6UEzIyMvDyUk9PrBOXlMpd4/5g76kEmlcuwtd9bsHLy2FZPcqEiJkykQu2bYPnnnM2fx56CL780uqK5BqUCxEzZULEzNMzkZWeR5Z/yvfee4+pU6dmXu7RoweFChWiZMmS/HVh9wzJFXPmzLG6BLExwzB4ftpf7D2VQMn8gYzpWcfSZhAoEyL/pkzkoNOn4amnoGZNZzPIxwcKFoSb/382yWHKhYiZMiFiZqdMZLkh9Omnn1K6dGkAFi5cyMKFC/n111/p0KEDzz//fLYXKFeWkJBgdQliY58v38P8rcfx8/ZifK96FAy2fpFUZULETJnIASkpMGYMVKoE48Y5F5C+6y6IjnZOE3NY2xiXa1MuRMyUCREzO2XCJ6s3OHr0aGZDaM6cOfTo0YN27dpRrlw5GjVqlO0FypWVLFnS6hLEplbvOc1785yLrQ3uFEnt0vmtLegfyoSImTKRAz74AF57zfl9rVowerRzW3nxGMqFiJkyIWJmp0xkeYRQgQIFOHjwIADz5s2jbdu2gHP6SHp6evZWJ1dVo0YNq0sQGzoRl8STkzeQnmHQtW5JejUqY3VJmZQJETNlIpukpV38/oknnNvJf/YZREWpGeSBlAsRM2VCxMxOmchyQ6hr167cd9993HbbbZw+fZoOHToAsHHjRipVqpTtBcqVzZ8/3+oSxGZS0zN48vsNnIxPpkqxfLzdpSYON5oeoUyImCkTN+n4cXj8cbjttotrA+XPD5s3w2OPObeXF4+jXIiYKRMiZnbKRJanjI0ePZpy5cpx8OBB3n//fUJCQgDnVLL+/ftne4Ei4j4+mL+DNftiCPH3YcL99Qj004chEcmDkpLgww/h7bchPt55bNUqaNLE+b0bNcJFREREblSWG0K+vr4899xzLscHDhyYHfVIFmjNJslN87Yc5bNlewAY0b0WFYqEWFyRK2VCxEyZyCLDgB9/hBdegH37nMfq13euE3ShGSQeT7kQMVMmRMzslInragjNnj2bDh064Ovry+zZs6967n//+99sKUyu7dy5c1aXIDax5+Q5npu2CYDHm1egfY3iFld0ecqEiJkykQXHj0O3brBihfNyiRLwzjtw//3gleUZ9uLGlAsRM2VCxMxOmbiuhlDnzp05duwYRYsWpXPnzlc8z+FwaGHpXLR161Zq1apldRmSxyWmpNHvuyjOJafRsHxBXri9itUlXZEyIWKmTGRBoUJw9iwEBsLzzztHCQUHW12V5ADlQsRMmRAxs1MmrqshlJGRcdnvRSRvMwyDV2dsYcfxeAqH+DPu3rr4eOt/ykUkD0hMhE8+gf79ISAAfHzg22+djaHSpa2uTkRERCTHOQzjwrYZ9hAXF0dYWBixsbGEhoZaXc5NSU1NxdfX1+oyJA/77s/9vDZzC95eDr5/tBGNKhSyuqSrUiZEzJSJy8jIgMmT4aWX4NAhePddePFFq6uSXKRciJgpEyJmnp6JrPQ8bui/+hMSEpg7dy6ffPIJY8eONX1J7lmwYIHVJUgetvHgWYb9HA3Ai+2ruH0zCJQJkX9TJv7lwk5h99/vbAaVKQMREVZXJblMuRAxUyZEzOyUiSzvMrZhwwY6duxIYmIiCQkJFCxYkFOnThEUFETRokUZMGBATtQplxEXF2d1CZJHxSSk8MSkKFLSM2hfPZzHmlWwuqTrokyImCkT/9i/3zkiaMoU5+WQEHj5ZRg0yLlmkNiKciFipkyImNkpE1keITRo0CA6depETEwMgYGB/Pnnn+zfv5/69eszYsSInKhRrqBYsWJWlyB5UHqGwcCpGzl89jzlCwfzfvdaOBwOq8u6LsqEiJky8Y9nn3U2gxwOePhh2LkTXnlFzSCbUi5EzJQJETM7ZSLLawjlz5+f1atXU6VKFfLnz8+qVauoVq0aq1evpnfv3mzfvj2nas0WeWkNobi4OI//GcT9jFm0kzGLdhHg68XMJ26larjn/B1TJkTMbJuJ9HQ4f945EgicDaAnn4T33oO6da2tTSxn21yIXIEyIWLm6ZnI0TWEfH19M0cLFCtWjAMHDgAQFhaW+b3kjl9++cXqEiSPWbLjBB/+tguA4V1qelQzCJQJkX+zZSaWLoVbboGBAy8eq1wZFixQM0gAm+ZC5CqUCREzO2Uiy2sI1a1bl3Xr1lG5cmVatWrF4MGDOXXqFN9++y01a9bMiRpFJBccOpPIwKkbMQzo1agMXeuVsrokEZHrt3s3vPACTJ/uvLxvH3zwARQoYGlZIiIiIu4qyyOEhg8fTvHixQF48803KVSoEP369ePEiRN89tln2V6gXFn9+vWtLkHyiOS0dPpPiuJsYiq1SoUxuFOk1SXdEGVCxMwWmYiNdTaCIiOdzSAvL+jXD3bsUDNILssWuRDJAmVCxMxOmcjSCCHDMChSpAjVq1cHoEiRIsydOzdHCpNrS01NtboEySOG/RzNpkOx5A/yZXyvevj7eFtd0g1RJkTM8nwmVq6Ezp3h5Enn5XbtYNQo+OffKSKXk+dzIZJFyoSImZ0ykaURQoZhEBERwaFDh3KqHsmCTZs2WV2C5AHTow4xafUBHA4Y07MOpQoEWV3SDVMmRMzyfCaqVYOMDKhaFX75BebNUzNIrinP50Iki5QJETM7ZSJLDSEvLy8iIiI4ffp0TtUjIrlo+7E4XpmxGYABrSNoWaWoxRWJiFzF9u3w6qtwYYPUAgVg8WLYtAk6dnRuKy8iIiIi1yXL287/8ssvvPvuu0yYMIEaNWrkVF05Ji9tO3/+/HkCAwOtLkM8VFxSKneN+4O9pxJoXrkIX/W5BW8vz/4wpUyImOWZTMTEwNChMH48pKU51wrq0sXqqsRD5ZlciGQTZULEzNMzkaPbzt9///2sWbOG2rVrExgYSMGCBU1fknuWLVtmdQnioQzD4Plpf7H3VAIl8wcypmcdj28GgTIh8m8en4nUVBg7FipVcv6ZlgadOmlamNwUj8+FSDZTJkTM7JSJLG87P3r0aBwaku0WYmJirC5BPNTny/cwf+tx/Ly9GN+rHgWD/awuKVsoEyJmHpsJw3CuCfTcc87dwgBq1nQuGN22rbW1icfz2FyI5BBlQsTMTpnIckOoT58+OVCG3IhChQpZXYJ4oNV7TvPePOcHrMGdIqldOr+1BWUjZULEzGMzkZEBL73kbAYVKQJvvQWPPALenrkDorgXj82FSA5RJkTM7JSJLK8h1KpVK+6//366detGWFhYTtWVY/LSGkKJiYkEBXnujlCS+07EJXHHRys4GZ9M17olGdmjdp4a8adMiJh5VCZOnoR8+SAgwHl54UJYtAheeQU88N8b4r48KhciuUCZEDHz9Ezk6BpCNWvW5LXXXiM8PJy7776bmTNnkpKScsPFyo2bNWuW1SWIB0lNz+DJ7zdwMj6ZKsXy8XaXmnmqGQTKhMi/eUQmkpPhgw8urhN0wW23wXvvqRkk2c4jciGSi5QJETM7ZSLLDaGxY8dy+PBhZs2aRb58+ejduzfh4eE8/vjjLF26NCdqFJFs8MH8HazZF0OIvw8T7q9HoJ+mXoiIhQzDuVtYZCS88ALExcG8eRe3lBcRERGRHJXlhhCAl5cX7dq14+uvv+b48eN8+umnrFmzhtatW2d3fXIVderUsboE8RDzthzls2V7ABjRvRYVioRYXFHOUCZEzNw2E1FR0KoV3H037NkDxYvD1187p4jlsZGL4n7cNhciFlEmRMzslIksLyp9qWPHjjFlyhS+++47Nm3axC233JJddcl18PK6oX6e2Myek+d4btomAB5vXoH2NYpbXFHOUSZEzNwyE+PGwYABzpFAAQHw/PPOEUIhebNRLe7HLXMhYiFlQsTMTpnI8k8aFxfHV199xW233Ubp0qWZMGECnTp1YufOnaxevTonapQriIqKsroEcXOJKWn0+y6Kc8lpNCxfkBdur2J1STlKmRAxc8tMtG0LPj5w333OXcSGDVMzSHKVW+ZCxELKhIiZnTKR5RFCxYoVo0CBAvTo0YPhw4drVJCImzIMg1dnbGHH8XgKh/gz7t66+Hjbp9stIm7AMGDKFNi2zdn4AahaFf7+G8qUsbY2EREREZvL8rbzCxYsoG3bth47jCovbTsfHx9Pvnz5rC5D3NR3f+7ntZlb8PZy8P2jjWhUoZDVJeU4ZULEzNJM/PknDBrk/NPhgI0boVYta2oRuYTeK0TMlAkRM0/PRI5uO9+uXTuPbQblNWvWrLG6BHFTGw+eZdjP0QC82L6KLZpBoEyI/JslmTh4EHr1gsaNnc2g4GDn6KCIiNyvReQy9F4hYqZMiJjZKRM3tai0WOvEiRNWlyBuKCYhhScmRZGSnkH76uE81qyC1SXlGmVCxCxXM5GQAO+9Bx98AElJzlFBffrAW29BiRK5V4fINei9QsRMmRAxs1Mm1BDyYGFhYVaXIG4mPcNg4NSNHD57nvKFg3m/ey0cNtrCWZkQMcvVTKSkwMcfO5tBzZvD6NFQr17uPb7IddJ7hYiZMiFiZqdMZHkNIU+Xl9YQSk5Oxt/f3+oyxI2MWbSTMYt2EeDrxcwnbqVquGf/Hc8qZULELMczsWED1KnjHA0EMGkSBAZCly4Xj4m4Gb1XiJgpEyJmnp6JHF1D6FJJSUk3c3O5SdOnT7e6BHEjS3ac4MPfdgEwvEtN2zWDQJkQ+bccy8SePdCtm3ME0OzZF4/36gVdu6oZJG5N7xUiZsqEiJmdMpHlhlBGRgZvvvkmJUuWJCQkhD179gDw+uuv88UXX2R7gSJybYfOJDJw6kYMA3o1KkPXeqWsLklE8qK4OHjxRahWDX76Cby8YPNmq6sSERERkRuQ5YbQW2+9xddff83777+Pn59f5vGaNWsyceLEbC1Orq5GjRpWlyBuIDktnf6TojibmEqtUmEM7hRpdUmWUSZEzLItE+np8NlnUKkSvP++c72g225zbiX/2mvZ8xgiuUTvFSJmyoSImZ0ykeWG0DfffMNnn31Gr1698Pb2zjxeq1Yttm/fnq3FydUFBQVZXYK4gWE/R7PpUCz5g3wZ36se/j7e175RHqVMiJhlWybuvRf+7//g5EmoXBnmzIH586Fmzey5f5FcpPcKETNlQsTMTpnIckPo8OHDVKpUyeV4RkYGqamp2VKUXJ81a9ZYXYJYbHrUISatPoDDAWN61qFUAfu8eF2OMiFilm2ZeOghKFAAxoyBLVvgjju0TpB4LL1XiJgpEyJmdspElredr169OsuXL6ds2bKm49OmTaNu3brZVpiIXN32Y3G8MsO5dseA1hG0rFLU4opEJE+IiYFhw6B8eXj6aeexDh1g3z7w8N05RUREROSiLDeE3njjDR544AEOHz5MRkYG06dPZ8eOHXzzzTfMmTMnJ2qUK+jQoYPVJYhF4pJS6fddFEmpGTSvXIQBbSKsLsktKBMiZlnKRGoqfPIJDBnibAqFhkLv3pA/v/N6NYMkj9B7hYiZMiFiZqdMZHnKWKdOnZg6dSpz587F4XAwePBgtm3bxs8//8xtt92WEzXKFfz1119WlyAWMAyD56f9xd5TCZTMH8iYnnXw9tLUDVAmRP7tujJhGDB3LtSqBQMGOJtBNWrAjz9ebAaJ5CF6rxAxUyZEzOyUiSyPEAK4/fbbuf3227O7FsmiI0eOWF2CWODz5XuYv/U4ft5ejO9Vj4LBfte+kU0oEyJm18zErl3w1FPOBaIBCheGN9+ERx8Fnxv6J4KI29N7hYiZMiFiZqdM6F97HiwkJMTqEiSXrd5zmvfm7QBgcKdIapfOb21BbkaZEDG7ZibS0mDRIvD1hYED4dVXISwsV2oTsYreK0TMlAkRMztlwmEYhnGtkwoUKIDjOncTiYmJuemiclJcXBxhYWHExsYS6uHrIaSnp+Ptbd8txu3mRFwSd3y0gpPxyXSpW5JRPWpfdy7tQpkQMXPJRHIyLFsGl07x/uoraN4cKlbM/QJFLKD3ChEzZULEzNMzkZWex3WtITRmzBhGjx7N6NGjee211wDntLEhQ4YwZMiQzOljr7/+epaLHT9+POXLlycgIID69euzfPny67rdH3/8gY+PD3Xq1MnyY+YVP/zwg9UlSC5JTc/gye83cDI+mSrF8vF2lxpqBl2GMiFilpkJw4AZM6B6dWjfHjZvvnjSQw+pGSS2ovcKETNlQsTMTpm4riljvXv3zvz+7rvvZtiwYTz55JOZxwYMGMC4ceNYtGgRgwYNuu4Hnzp1KgMHDmT8+PHceuutfPrpp3To0IHo6GjKlClzxdvFxsby4IMP0qZNG44fP37djyfiqT6Yv4M1+2II8fdhwv31CPLTbE8RuU4bNsAzz8CSJc7L4eFw5AjUrGlpWSIiIiJirSzvMjZ//nzat2/vcvz2229n0aJFWbqvUaNG8cgjj/Doo49SrVo1xowZQ+nSpZkwYcJVb/d///d/3HfffTRu3DhLj5fXVK1a1eoSJBfM23KUz5btAWBE91pUKGKfOa1ZpUyIXOLoUdpNnQr16zubQQEBzjWCdu4EbQwhNqb3ChEzZULEzE6ZyHJDqFChQsyYMcPl+MyZMylUqNB1309KSgrr16+nXbt2puPt2rVj5cqVV7zdV199xe7du3njjTeu63GSk5OJi4szfeUVBQsWtLoEyWF7Tp7juWmbAHi8eQXa1yhucUXuTZkQ+UdaGvznPxSaNcs5Xeyee2D7dnjrLciXz+rqRCyl9woRM2VCxMxOmcjyvJOhQ4fyyCOPsGTJkswROn/++Sfz5s1j4sSJ130/p06dIj09nWLFipmOFytWjGPHjl32Nrt27eKll15i+fLl+FzndrjvvPMOQ4cOdTk+bdo0goKC6Nq1K7/99huxsbEULVqUhg0bMmfOHADq1atHRkYGGzduBOCuu+5ixYoVnD59moIFC9K8eXNmzpwJQK1atfD19WX9+vUA3HHHHaxbt47jx48TGhpKu3bt+PHHHwGoXr06ISEhrF69GnCOrtqyZQuHDx8mODiYO++8k6lTpwJQpUoVChcuzB9//AFA27Zt2blzJwcOHODo0aM888wzTJ06lYyMDCpWrEjJkiVZtmwZAC1btuTAgQPs2bMHHx8funfvzk8//URKSgply5alYsWK/P777wA0bdqUEydOsHPnTgDuvfdeZs2aRWJiIqVKlSIyMpIFCxYA0LhxY2JjY4mOjgage/fuzJs3j/j4eMLDw6lXrx5z584F4JZbbiEpKYnN/6xX0aVLF5YsWcKZM2coXLgwjRs35ueffwagbt26AGzYsAGATp06sWrVKk6dOkWBAgVo2bJlZjOyZs2aBAQEsHbtWgA6duxIVFQUx44dI1++fLRv355p06YBEBkZSVhYGKtWrQKcTcfo6GgOHTpEUFAQd911F5MnTwagcuXKFC1alBUrVgDQunVrdu/ezf79+/Hz8+Puu+9m2rRppKWlUaFCBcqUKcOSf6ZhNG/enMOHD7N79268vLzo2bMn06dPJzk5mTJlylC5cuXMUXS33norp06dYscO545hPXv2ZM6cOSQkJFCyZElq1KjBz3PnM/7vYM4le1O9qD9lzm5k8uSNdOvWjQULFhAXF0exYsVo0KABv/zyCwD169cnNTWVTZucTaTOnTuzbNkyYmJiKFSoEE2bNmXWrFkA1KlTBy8vL6KiogC48847WbNmDSdOnCAsLIw2bdowffp0AGrUqEFQUBBr1qwBoEOHDvz1118cOXKEkJAQOnbsmDnXtmrVqhQsWDCzsXvbbbexfft2Dh48SGBgIJ07d2bKlCkYhkFERATh4eGZa4e1atWKffv2sXfvXnx9fenWrRs//vgjqamplC9fnnLlyrF48WIAmjVrxrFjx9i1axcOh4N77rmH6dOnEx4eTunSpalatSoLFy4EoEmTJsTExLB9+3YAevTowdy5czl37hwlSpSgdu3a/PrrrwA0bNiQxMREtmzZAuDRrxH+/v507dpVrxF59DVi/j9bxTdq1Ihz586x9Z+/s926d2fBggUUb9GCEsuWkW/iRGafPAkrV1I/OdnWrxEzZ87k/Pnzeo2w+WvE4cOHad++vf1eI7Zudb5G6N8RgF4jLn2N2LhxI4GBgYBeI2z97wi9RmS+Rhw+fJh77rnHY18jEhMTuV7XtcvYv61evZqxY8eybds2DMMgMjKSAQMG0KhRo+u+jyNHjlCyZElWrlxpmvr19ttv8+2332Y+mRekp6fzn//8h0ceeYS+ffsCMGTIEGbOnJn5BF1OcnIyycnJmZfj4uIoXbp0nthlbPLkydx7771WlyE5wDAMnvnhL2ZsOEzhEH/mDmhK0dAAq8tye8qE2NaaNTBoELz4Ivz3v85j6elMnjKFe3v1srY2ETej9woRM2VCxMzTM5GVXcZuqCGUHVJSUggKCmLatGl06dIl8/jTTz/Nxo0bWbp0qen8s2fPUqBAAdP2bxkZGRiGgbe3NwsWLKB169bXfNy8tO38qVOnKFy4sNVlSA747s/9vDZzC95eDr5/tBGNKlz/dEw7UybEdg4dgpdfhu++c16uWxfWr4d/diFUJkRcKRciZsqEiJmnZyLbt53PCX5+ftSvXz9zmNUFCxcupEmTJi7nh4aGsnnzZjZu3Jj51bdv38xhjlkZnZRX/HsUleQNGw+eZdjPziGyL7avomZQFigTYhsJCfDGG1C58sVmUJ8+MGdOZjMIlAmRy1EuRMyUCREzO2XC0r2rn3nmGR544AEaNGhA48aN+eyzzzhw4EDmlLCXX36Zw4cP88033+Dl5UWNGjVMty9atCgBAQEux+3i4MGDVpcg2exMQgpPTIoiJT2D9tXDeaxZBatL8ijKhNjCzz9D377OreMBmjWD0aOdu4n9izIh4kq5EDFTJkTM7JQJSxtCPXv25PTp0wwbNoyjR49So0YN5s6dS9myZQE4evQoBw4csLJEt3Zh8TfJG9IzDJ6eupHDZ89TvnAw73evheOS/+mXa1MmxBa8vJzNoPLl4YMPoGtX06igSykTIq6UCxEzZULEzE6ZsGwNIavkpTWEJG8Zs2gnYxbtIsDXi5lP3ErVcP39FBFg716IjoY77nBeNgyYMgW6dIEALTYvIiIiIhfl6BpCx48fv+J1F7afk9wxZcoUq0uQbLJkxwk+/G0XAMO71FQz6AYpE5KnxMU5F4yuVg169YJTp5zHHQ64997ragYpEyKulAsRM2VCxMxOmchyQ6hmzZrMnj3b5fiIESNsubCzlWw2uCvPOnQmkYFTN2IY0KtRGbrWK2V1SR5LmZA8IT0dPv8cIiLg3XchORkaNID4+CzflTIh4kq5EDFTJkTM7JSJLDeEXnzxRXr27Enfvn05f/48hw8fpnXr1nzwwQdMnTo1J2qUK4iIiLC6BLlJyWnp9J8UxdnEVGqVCmNwp0irS/JoyoR4vN9/h3r14PHH4cQJ5y5is2fDwoXONYOySJkQcaVciJgpEyJmdspElheVfvbZZ2nbti33338/tWrVIiYmhv/85z9s2rSJYsWK5USNcgXh4eFWlyA3adjP0Ww6FEv+IF/G96qHv4+31SV5NGVCPNqBA9CunXOEUP78zm3l+/cHP78bvktlQsSVciFipkyImNkpE1keIQRQoUIFqlevzr59+4iLi6NHjx5qBllg+fLlVpcgN2F61CEmrT6AwwFjetahVIEgq0vyeMqEeJzk5IvflykDTz4JTz0Ff/8NAwfeVDMIlAmRy1EuRMyUCREzO2Uiyw2hP/74g1q1avH333+zadMmJkyYwFNPPUWPHj04c+ZMTtQokudsPxbHKzM2AzCgdQQtqxS1uCIRyVVpafDxx1C2LGzZcvH46NEwdiwUKmRdbSIiIiJiC1luCLVu3ZqePXuyatUqqlWrxqOPPsqGDRs4dOgQNWvWzIka5QpatWpldQlyA+KSUun3XRRJqRk0r1yEAW3sM0c1pykT4hHmzYNatZyjgY4fh3HjLl7ncGTrQykTIq6UCxEzZULEzE6ZyHJDaMGCBbz77rv4+vpmHqtYsSIrVqzg//7v/7K1OLm6ffv2WV2CZJFhGDw/7S/2nkqgZP5AxvSsg7dX9n4AtDNlQtxadDR06OD82rbNOQpo/HhzQyibKRMirpQLETNlQsTMTpnIckOoRYsWl78jLy9ef/31my5Irt/evXutLkGy6PPle5i/9Th+3l6M71WPgsE3tz6ImCkT4rZefdU5KmjePPD1hWefda4T1K8f+GR5f4frpkyIuFIuRMyUCREzO2Uiy/8KHTZs2FWvHzx48A0XI1lz6SgtcX+r95zmvXk7ABjcKZLapfNbW1AepEyI2ypc2Ll7WOfO8MEHUKlSrjysMiHiSrkQMVMmRMzslAmHYRhGVm5Qt25d0+XU1FT27t2Lj48PFStWJCoqKlsLzG5xcXGEhYURGxtLaGio1eWITZyIS+KOj1ZwMj6ZLnVLMqpHbRzZvFaIiLgJw4DZsyFfPmjd2nksJQVWr4ZmzaytTURERETytKz0PLI8ZWzDhg2mry1btnD06FHatGnDoEGDbrhoyboff/zR6hLkOqSmZ/Dk9xs4GZ9MlWL5eLtLDTWDcogyIZb76y9o08Y5Eqh/f0hNdR7387OkGaRMiLhSLkTMlAkRMztlIssNocsJDQ1l2LBhWkMol6Ve+KAhbu2D+TtYsy+GEH8fJtxfjyC/nFsvxO6UCbHMsWPw2GNQty4sXgz+/tC1q3N7eQspEyKulAsRM2VCxMxOmci2T6Znz54lNjY2u+5OrkP58uWtLkGuYd6Wo3y2bA8AI7rXokKREIsrytuUCcl1SUkwejQMHw7nzjmP9ewJ774L5cpZWhooEyKXo1yImCkTImZ2ykSWG0Jjx441XTYMg6NHj/Ltt9/Svn37bCtMrq2cG3zYkCvbc/Icz03bBMDjzSvQvkZxiyvK+5QJyXVLlsArrzi/b9jQ2Rxq0sTSki6lTIi4Ui5EzJQJETM7ZSLLU8ZGjx5t+ho7dixLliyhd+/efPbZZzlRo1zB4sWLrS5BriAxJY1+30VxLjmNhuUK8sLtVawuyRaUCckVMTEXv7/9dujdG779FlatcqtmECgTIpejXIiYKRMiZnbKRJZHCO3duzcn6hDJMwzD4NUZW9hxPJ7CIf6Mu68uPt7ZslyXiFjp8GHnaKA5c2DnTihUCBwO+PprqysTEREREckyfUr1YM20fbFbmrT6ADM2HMbby8HH99WlaGiA1SXZhjIhOSIxEYYOhcqV4ZtvnCOEfvnF6qquizIh4kq5EDFTJkTM7JSJG1pUeu3atUybNo0DBw6QkpJium769OnZUphc27FjxyhVqpTVZcglNh48y7CfowF4sX0VGlUoZHFF9qJMSLbKyIDvv4eXXnKODgLnlLDRo53rBXkAZULElXIhYqZMiJjZKRNZHiE0ZcoUbr31VqKjo5kxYwapqalER0fz+++/ExYWlhM1yhXs2rXL6hLkEmcSUnhiUhQp6Rm0rx7OY80qWF2S7SgTkm1SU6FpU3jgAWczqGxZmDoVVqzwmGYQKBMil6NciJgpEyJmdspElhtCw4cPZ/To0cyZMwc/Pz8+/PBDtm3bRo8ePShTpkxO1ChX4HA4rC5B/pGeYfD01I0cPnue8oWDeb97Lf1+LKDnXLKNry/Urg0hIc4t5bdvhx49nGsGeRBlQsSVciFipkyImNkpEw7DMIys3CA4OJitW7dSrlw5ChcuzOLFi6lZsybbtm2jdevWHD16NKdqzRZxcXGEhYURGxtLaGio1eVIHjFm0U7GLNpFgK8XM5+4larh+rsl4lHi4+Gdd+D++yEy0nns9GnnSKHwcGtrExERERG5TlnpeWR5hFDBggWJj48HoGTJkmzZsgWAs2fPkpiYeAPlyo2aOXOm1SUIsGTHCT78zTmscHiXmmoGWUiZkCxLT4cvvoCICGdD6NlnL15XqJDHN4OUCRFXyoWImTIhYmanTFx3Q+jhhx8mPj6eZs2asXDhQgB69OjB008/zWOPPca9995LmzZtcqxQcXX+/HmrS7C9Q2cSGTh1I4YBvRqVoWs9eyw+5q6UCcmSxYuhQQN49FE4fhwqVYK+fSFrA2fdmjIh4kq5EDFTJkTM7JSJ695l7H//+x/vvvsu48aNIykpCYCXX34ZX19fVqxYQdeuXXn99ddzrFBxVbp0aatLsLXktHT6T4ribGIqtUqFMbhTpNUl2Z4yIdfl77/h+efhwv/+hIXBG2/AE0+An5+lpWU3ZULElXIhYqZMiJjZKRPXvYaQl5cXx44do2jRojldU47KS2sInTp1isKFC1tdhm29OmMzk1YfIH+QL3OeakqpAkFWl2R7yoRcl5Ej4bnnwNvbOSJoyBDIo39vlAkRV8qFiJkyIWLm6ZnIsTWE7LTatie4MHVPct/0qENMWn0AhwPG9KyjZpCbUCbkstLSYN++i5efeso5TWzTJhg3Ls82g0CZELkc5ULETJkQMbNTJq57yhhA5cqVr9kUiomJuamCRNzd9mNxvDJjMwADWkfQsopnj5oTydPmz4dnnoGMDGcDyNfXOS3s88+trkxERERExFJZaggNHTqUsLCwnKpFsqhJkyZWl2A7cUmp9PsuiqTUDJpXLsKANhFWlySXUCYk07Ztzh3Dfv3VeblgQeexWrWsrSuXKRMirpQLETNlQsTMTpnIUkPonnvu8fg1hPKSmJgYypYta3UZtmEYBs9P+4u9pxIomT+QMT3r4O2laZTuRJkQTp92rgk0YYJzS3kfH+cUsddfhwIFrK4u1ykTIq6UCxEzZULEzE6ZuO41hLR+kPvZvn271SXYyufL9zB/63H8vL0Y36seBYPz1m5EeYEyYXP79jm3jh83ztkM+u9/YetWGDXKls0gUCZELke5EDFTJkTM7JSJ6x4hdJ2bkYnkSav3nOa9eTsAeL1TJLVL57e2IBFxVbYs1KsHp045m0Bt2lhdkYiIiIiI27rubefziry07Xx6ejre3t5Wl5HnnYhL4o6PVnAyPpkudUsyqkdtjZhzU8qEzWza5JweNnGic40ggJMnnd/r7wGgTIhcjnIhYqZMiJh5eiZybNt5cS9z5861uoQ8LzU9gye/38DJ+GSqFMvH211qqBnkxpQJmzh+HB5/HOrWhRkzYNiwi9cVKaJm0CWUCRFXyoWImTIhYmanTGRpUWlxL+fOnbO6hDzvg/k7WLMvhhB/HybcX48gP0XGnSkTeVxSEnz4Ibz9NsTHO4917w5PP21tXW5MmRBxpVyImCkTImZ2yoQ+3XqwEiVKWF1CnjZvy1E+W7YHgBHda1GhSIjFFcm1KBN52PTp8NxzsHev83KDBjB6NDRtam1dbk6ZEHGlXIiYKRMiZnbKhKaMebDatWtbXUKetefkOZ6btgmAx5tXoH2N4hZXJNdDmcjD5s93NoNKlID//Q9Wr1Yz6DooEyKulAsRM2VCxMxOmVBDyIP9+uuvVpeQJyWmpNHvuyjOJafRsFxBXri9itUlyXVSJvKQI0ec28hfMGwYDB0KO3fCgw+Cl96+rocyIeJKuRAxUyZEzOyUCf2LWuQShmHw6owt7DgeT+EQf8bdVxcfb8VEJNckJjqbPxER8MQTF48XKwaDB0NwsHW1iYiIiIjkIVpDyIM1bNjQ6hLynEmrDzBjw2G8vRx8fF9dioYGWF2SZIEy4cEyMmDyZHjpJTh0yHnszBnn4tH58llbmwdTJkRcKRciZsqEiJmdMqGhDx4sMTHR6hLylI0HzzLs52gAXmxfhUYVCllckWSVMuGhVq2Cxo3h/vudzaAyZWDKFPjjDzWDbpIyIeJKuRAxUyZEzOyUCTWEPNiWLVusLiHPOJOQwhOTokhJz6B99XAea1bB6pLkBigTHujnn6FJE1izBkJCnFvKb98OPXuCw2F1dR5PmRBxpVyImCkTImZ2yoSmjIntpWcYPD11I4fPnqdcoSDe714Lhz6IiuSOdu2gUiVo3hzeeguKa0c/EREREZHc4DAMw7C6iNwUFxdHWFgYsbGxhIaGWl3OTUlOTsbf39/qMjzemEU7GbNoFwG+XszofyvVinv23ws7UybcXEaGc8v4SZNg3jzw+ef/JBITISjI2tryKGVCxJVyIWKmTIiYeXomstLz0JQxD/bbb79ZXYLHW7LjBB/+tguA4V1qqhnk4ZQJN7ZsGdxyCzz8MPz2G3zzzcXr1AzKMcqEiCvlQsRMmRAxs1Mm1BDyYLGxsVaX4NEOnUlk4NSNGAb0alSGrvVKWV2S3CRlwg3t3g133w0tWkBUFISFwYgR0KuX1ZXZgjIh4kq5EDFTJkTM7JQJrSHkwYoWLWp1CR4rOS2d/pOiOJuYSq1SYQzuFGl1SZINlAk3kpoKr74KH34IKSng5QX/938wdCgUKWJ1dbahTIi4Ui5EzJQJETM7ZUINIQ/WsGFDq0vwWMN+jmbToVjyB/kyvlc9/H28rS5JsoEy4UZ8fGDtWmczqF07GDkSatSwuirbUSZEXCkXImbKhIiZnTKhKWMebM6cOVaX4JGmRx1i0uoDOBwwpmcdShXQ+iV5hTJhsYULISbG+b3DAWPHwi+/OBeQVjPIEsqEiCvlQsRMmRAxs1Mm1BASW9l+LI5XZmwGYEDrCFpWsc9wQJEcs3073HmncyTQm29ePF6zJnTs6GwOiYiIiIiIW1FDyIPVq1fP6hI8SlxSKv2+iyIpNYPmlYswoE2E1SVJNlMmcllMDDz9tLPx88svzmlivr5WVyWXUCZEXCkXImbKhIiZnTKhNYQ8WEZGhtUleAzDMHh+2l/sPZVAyfyBjOlZB28vjVrIa5SJXJKaChMmwJAhcOaM81inTvDBB1CliqWliZkyIeJKuRAxUyZEzOyUCY0Q8mAbN260ugSP8fnyPczfehw/by/G96pHwWA/q0uSHKBM5JIhQ5wjg86ccY4OWrgQZs9WM8gNKRMirpQLETNlQsTMTplQQ0jyvNV7TvPevB0AvN4pktql81tbkIgnuvR/SgYMgEqV4NNPYcMGaNvWurpEREREROSGOAzDMKwuIjfFxcURFhZGbGwsoaGhVpdzUxITEwkK0g5ZV3MiLok7PlrByfhkutQtyagetXFogds8S5nIASdOwODBcOwYzJx58XhGBnjp/xTcnTIh4kq5EDFTJkTMPD0TWel56F/zHmzFihVWl+DWUtMzePL7DZyMT6ZKsXy83aWGmkF5nDKRjZKTnWsCRUQ4RwLNmgWXDp9VM8gjKBMirpQLETNlQsTMTpnQv+g92OnTp60uwa19MH8Ha/bFEOLvw4T76xHkpzXU8zplIhsYBvz0E0RGwgsvQFwc1KsHS5dCnTpWVydZpEyIuFIuRMyUCREzO2VCn5A9WMGCBa0uwW3N23KUz5btAWBE91pUKBJicUWSG5SJm3T4MNx3Hyxb5rxcvDgMHw4PPqgRQR5KmRBxpVyImCkTImZ2yoTWEPJg58+fJzAw0Ooy3M6ek+f477g/OJecxmPNyvPqHZFWlyS5RJm4ScnJUK0aHD0Kzz/vHCEUomaqJ1MmRFwpFyJmyoSImadnQmsI2cTMSxd4FQASU9Lo910U55LTaFiuIC+0r2p1SZKLlIksOn8exo2DtDTnZX9/+P572LEDhg1TMygPUCZEXCkXImbKhIiZnTKhKWOSZxiGwasztrDjeDyFQ/wZd19dfL3V8xRxYRgwZQq8+CIcPAje3tCvn/O6//zH2tpERERERCRXqCHkwWrVqmV1CW5l0uoDzNhwGG8vBx/fV5eioQFWlyS5TJm4Dn/+CYMGOf8EKF0awsOtrUlyjDIh4kq5EDFTJkTM7JQJDZ/wYL6+vlaX4DY2HjzLsJ+jAXixfRUaVShkcUViBWXiKg4ehF69oHFjZzMoOBjeess5PaxLF6urkxyiTIi4Ui5EzJQJETM7ZUINIQ+2fv16q0twC2cSUnhiUhQp6Rm0rx7OY80qWF2SWESZuIrHHnOuD+RwwEMPwa5d8Oqr4MEL5sm1KRMirpQLETNlQsTMTpnQlDHxaOkZBk9P3cjhs+cpVyiI97vXwuFwWF2WiPUyMiAlBQL+mTo5fLhzF7GRI6FePWtrExERERERy2nbeQ8WFxfn8T/DzRqzaCdjFu0iwNeLGf1vpVpxez8fdqdM/GPZMuc6QS1bOhtAYlvKhIgr5ULETJkQMfP0TGjbeZtYt26d1SVYasmOE3z42y4AhnepqWaQ2D4T7NkD3bpBixYQFQXffAPnzlldlVjI9pkQuQzlQsRMmRAxs1Mm1BDyYMePH7e6BMscOpPIwKkbMQzo1agMXeuVsrokcQO2zURsLLzwAlSrBj/9BF5e8H//B1u3QkiI1dWJhWybCZGrUC5EzJQJETM7ZUJrCHkwTx7GdjOS09LpPymKs4mp1CoVxuBOkVaXJG7ClplYuhS6d4eTJ52X27aFUaOgZk1r6xK3YMtMiFyDciFipkyImNkpE1pDyIOlpqbaaku8C16buZnv/jxA/iBf5jzVlFIFgqwuSdyELTNx9ChUrgwlSjjXC7rjDudOYiLYNBMi16BciJgpEyJmnp4JrSFkEz/++KPVJeS66VGH+O7PAzgcMKZnHTWDxMQWmdi5E9555+Ll4sXh999hyxa48041g8TEFpkQySLlQsRMmRAxs1Mm1BASj7H9WByvzNgMwIDWEbSsUtTiikRy0Zkzzp3DqleHV16BRYsuXnfLLeDB/4shIiIiIiK5T2sIebDq1atbXUKuiUtKpd93USSlZtC8chEGtImwuiRxQ3kyE6mp8MknMGQIxMQ4j91xB5QpY2lZ4hnyZCZEbpJyIWKmTIiY2SkTagh5sBCb7B5kGAbPT/uLvacSKJk/kDE96+DtpWkx4ipPZcIw4Ndf4dlnYft257EaNZwLRt92m7W1icfIU5kQySbKhYiZMiFiZqdMaMqYB1u9erXVJeSKz5fvYf7W4/h5ezG+Vz0KBvtZXZK4qTyVidRUeOIJZzOocGGYMAE2bFAzSLIkT2VCJJsoFyJmyoSImZ0yoRFC4tZW7znNe/N2APB6p0hql85vbUEiOenUKcifH3x8wM/PuWvYqlXw6qvO4yIiIiIiItlE2857sJiYGAoWLGh1GTnmRFwSd3y0gpPxyXSpW5JRPWrj0A5KchUem4nkZPjoI3jzTXj/ffi//7O6IskjPDYTIjlIuRAxUyZEzDw9E9p23ia2bNlidQk5JjU9gye/38DJ+GSqFMvH211qqBkk1+RxmTAMmDHDuXPY889DXJzzskg28bhMiOQC5ULETJkQMbNTJtQQ8mCHDx+2uoQc88H8HazZF0OIvw8T7q9HkJ9mN8q1eVQmNmyAVq2ga1fYvRvCw+HLL+GXX6yuTPIQj8qESC5RLkTMlAkRMztlQp+yPVhwcLDVJeSIeVuO8tmyPQCM6F6LCkXss8q73ByPycTIkc4RQYYBAQHOncReeglstKOB5A6PyYRILlIuRMyUCREzO2VCawh5sIyMDLy88tYgrz0nz/HfcX9wLjmNx5qV59U7Iq0uSTyIx2Ri3Tpo2BDuuQfefRfKlLG6IsmjPCYTIrlIuRAxUyZEzDw9E1pDyCamTp1qdQnZKjEljX7fRXEuOY2G5QryQvuqVpckHsYtM2EYMHUqjBhx8ViDBrBrF3z/vZpBkqPcMhMiFlMuRMyUCREzO2VCU8bELRiGwasztrDjeDyFQ/wZd19dfL3VrxQPt2YNDBoEK1eCry906QIVKzqvu/CniIiIiIiIBfSJ24NVqVLF6hKyzaTVB5ix4TDeXg4+vq8uRUMDrC5JPJDbZOLQIXjgAWjUyNkMCgqC11+H4sWtrkxsxm0yIeJGlAsRM2VCxMxOmdAIIQ9WuHBhq0vIFhsPnmXYz9EAvNi+Co0qFLK4IvFUlmciIQE++ADefx/On3ce690b3n4bSpa0tjaxJcszIeKGlAsRM2VCxMxOmdAIIQ/2xx9/WF3CTTuTkMITk6JISc/g9urFeKxZBatLEg9meSZiY51rBZ0/D02bwtq18PXXagaJZSzPhIgbUi5EzJQJETM7ZUIjhMQy6RkGT0/dyOGz5ylXKIgPutfG4XBYXZZI1kRHQ+Q/u+GVKOHcUr5QIbj7btDfZxERERERcVPadt6DnTx5kiJFilhdxg0bs2gnYxbtIsDXixn9b6Vacc/+fYj1cjUTe/fCiy/CtGnw++/QqlXuPK5IFnj6+4RITlAuRMyUCREzT8+Etp23iZ07d1pdwg1bsuMEH/62C4DhXWqqGSTZIlcyERcHL78M1ao5m0FeXs7dxETckCe/T4jkFOVCxEyZEDGzUybUEPJgBw4csLqEG3LoTCIDp27EMKBXozJ0rVfK6pIkj8jRTKSnw8SJEBEB774LycnQpg1s2OAcKSTihjz1fUIkJykXImbKhIiZnTKhNYQ8mL+/v9UlZFlyWjr9J0VxNjGVWqXCGNwp0uqSJA/J0Ux07QqzZzu/r1zZuXj0nXdqnSBxa574PiGS05QLETNlQsTMTpnQGkKSq16buZnv/jxA/iBf5jzVlFIFgqwuSeT6TJkC/frBG29A//7g52d1RSIiIiIiIiZaQ8gmpk6danUJWTI96hDf/XkAhwPG9KyjZpBku2zLxJkz8Mwz8NVXF4/17Al79sDAgWoGicfwtPcJkdygXIiYKRMiZnbKhKaMebCMjAyrS7hu24/F8cqMzQAMaB1ByypFLa5I8qKbzkRaGnz6qXMU0OnTULQo9OgBwcHOqWEFCmRPoSK5xJPeJ0Ryi3IhYqZMiJjZKRMaIeTBKlasaHUJ1yUuKZV+30WRlJpB88pFGNAmwuqSJI+6qUzMmwe1asGTTzqbQZGR8M03zmaQiIfylPcJkdykXIiYKRMiZnbKhBpCHqxkyZJWl3BNhmHw/LS/2HsqgZL5AxnTsw7eXlqEV3LGDWVi507o0MH5tW0bFCoE48fDX3/B7bdnf5EiucgT3idEcptyIWKmTIiY2SkTagh5sGXLllldwjV9vnwP87cex9fbwce96lEwWGuvSM65oUzExjpHB/n6wrPPwt9/OxeP9tGMWvF8nvA+IZLblAsRM2VCxMxOmdAnHskxq/ec5r15OwAY3Kk6dUrnt7YgEYCUFFi9Gpo1c16+5Rb46CNo3x4qVbK2NhERERERkVyiEUIerGXLllaXcEUn4pJ4cvIG0jMMutQtyf2NylhdktjAVTNhGDBrFlSvDm3bOncMu+DJJ9UMkjzJnd8nRKyiXIiYKRMiZnbKhBpCHuzAgQNWl3BZqekZPPn9Bk7GJ1OlWD7e7lIDh0PrBknOu2Im/voL2rSBzp2dU8IKFIC9e3O1NhEruOv7hIiVlAsRM2VCxMxOmVBDyIPtuXSEgxv5YP4O1uyLIcTfhwn31yPITzMTJXe4ZOL4cXjsMahbFxYvBn9/eOUV2LXL2SASyePc9X1CxErKhYiZMiFiZqdMWN4QGj9+POXLlycgIID69euzfPnyK547ffp0brvtNooUKUJoaCiNGzdm/vz5uVite/Fxw0Vv5205ymfLnAEa0b0WFYqEWFyR2IkpE8nJUKcOTJzonC7Wsyds3w5vvw358llWo0hucsf3CRGrKRciZsqEiJmdMuEwDMOw6sGnTp3KAw88wPjx47n11lv59NNPmThxItHR0ZQp47rmzMCBAylRogStWrUif/78fPXVV4wYMYLVq1dTt27d63rMuLg4wsLCiI2NJTQ0NLt/JFvbc/Ic/x33B+eS03isWXlevSPS6pLEbgwDLp2eOGwYzJkDo0fDrbdaV5eIiIiIiEguyErPw9IRQqNGjeKRRx7h0UcfpVq1aowZM4bSpUszYcKEy54/ZswYXnjhBW655RYiIiIYPnw4ERER/Pzzz7lcuXv46aefrC4hU2JKGv2+i+JcchoNyxXkhfZVrS5J7GbtWk5FRsKSJRePvfQS/PmnmkFiW+70PiHiLpQLETNlQsTMTpmwrCGUkpLC+vXradeunel4u3btWLly5XXdR0ZGBvHx8RQsWPCK5yQnJxMXF2f6yitSUlKsLgEAwzB4dcYWdhyPp3CIP+Puq4uvt+WzEcUuDh2CBx+Ehg0pvH07vPbaxev8/MBLfxfFvtzlfULEnSgXImbKhIiZnTJh2eS4U6dOkZ6eTrFixUzHixUrxrFjx67rPkaOHElCQgI9evS44jnvvPMOQ4cOdTk+bdo0goKC6Nq1K7/99huxsbEULVqUhg0bMmfOHADq1atHRkYGGzduBOCuu+5ixYoVnD59moIFC9K8eXNmzpwJQK1atfD19WX9+vUA3HHHHaxbt47jx48TGhpKu3bt+PHHHwGoXr06ISEhrF69GoDbb7+dLVu2cPjwYYKDg7nzzjuZOnUqAFWqVKFw4cL88ccfALRt25adO3dy4MCBzObW1KlTycjIoGLFipQsWZJly5YBzu3yDhw4wJ49e/Dx8aF79+789NNPpKSkULZsWSpWrMjvv/8OQNOmTTlx4gQ7d+4E4N5772XWrFkkJiZSqlQpIiMjWbBgAQCNGzcmNjaW6OhoAFLKNGLGhsN4YfBoNfA3kpk8eQYAt9xyC0lJSWzevBmALl26sGTJEs6cOUPhwoVp3Lhx5givC9P+NmzYAECnTp1YtWoVp06dokCBArRs2ZIZM5z3W7NmTQICAli7di0AHTt2JCoqimPHjpEvXz7at2/PtGnTAIiMjCQsLIxVq1YBzqZjdHQ0hw4dIigoiLvuuovJkycDULlyZYoWLcqKFSsAaN26Nbt372b//v34+flx9913M23aNNLS0qhQoQJlypRhyT8jUpo3b87hw4fZvXs3Xl5e9OzZk+nTp5OcnEyZMmWoXLkyixYtAuDWW2/l1KlT7NixA4CePXsyZ84cEhISKFmyJDVq1MhcH6tRo0acO3eOrVu3AtCtWzcWLFhAXFwcxYoVo0GDBvzyyy8A1K9fn9TUVDZt2gRA586dWbZsGTExMRQqVIimTZsya9YsAOrUqYOXlxdRUVEA3HnnnaxZs4YTJ04QFhZGmzZtmD59OgA1atQgKCiINWvWANChQwf++usvjhw5QkhICB07duSHH34AoGrVqhQsWDCzsXvbbbexfft2Dh48SGBgIJ07d2bKlCkYhkFERATh4eGZa4e1atWKffv2sXfvXnx9fenWrRs//vgjqamplC9fnnLlyrF48WLn812/PowcSbGvv8bnnxftnf/5D9H33EPhFSuoWrUqCxcuBKBJkybExMSwfft2AHr06MHcuXM5d+4cJUqUoHbt2vz6668ANGzYkMTERLZs2QLg0a8R/v7+dO3a1fLXiO7duzNv3jzi4+MJDw+nXr16zJ07F9BrRE6/RqSmphIXF2fL14hmzZpx7Ngxdu3ahcPh4J577mHmzJmcP3+e0qVL6zXCxq8RMTExbNmyRa8RNv93hF4jLr5GhIaGZv4d1muE/h2h14jFxMTEcOjQIY99jUhMTOR6WbaG0JEjRyhZsiQrV66kcePGmcfffvttvv3228wn80omT57Mo48+yqxZs2jbtu0Vz0tOTiY5OTnzclxcHKVLl84TawgdP37cpaGW23Yej6fdaOebwisdq/J484qW1iM2MXMmPPkkHD7svHzrrTB6NMfLlLE8EyLuxB3eJ0TcjXIhYqZMiJh5eiY8Yg2hwoUL4+3t7TIa6MSJE9d88qdOncojjzzCDz/8cNVmEIC/vz+hoaGmr7ziQsfdSt+vPgBAndL5eaxZBYurEdtITHQ2g8qWhalTYflyuOUWt8iEiDtRJkRcKRciZsqEiJmdMmFZQ8jPz4/69etnDrO6YOHChTRp0uSKt5s8eTJ9+vTh+++/54477sjpMuUath9zTlu7/z9lcVy6u5NIdtq/H/4Z4g3AvffCF184t5Hv0cO8s5iIiIiIiIhck2VrCAE888wzPPDAAzRo0IDGjRvz2WefceDAAfr27QvAyy+/zOHDh/nmm28AZzPowQcf5MMPP+Q///lP5uiiwMBAwsLCLPs5rNK0aVNLHz81PYP1+88AUL1E3hl5JW4kPh7eeQdGjYL8+WHXLsiXz9kAevhhl9OtzoSIu1EmRFwpFyJmyoSImZ0yYen2Oz179mTMmDEMGzaMOnXqsGzZMubOnUvZsmUBOHr0KAcOHMg8/9NPPyUtLY0nnniC4sWLZ349/fTTVv0Iljpx4oSlj7/x4FlS0w0Kh/hRpVg+S2uRPCY93TkCKCLC2RBKTobISDhz5qo3szoTIu5GmRBxpVyImCkTImZ2yoTl+zH379+fffv2kZyczPr162nevHnmdV9//XXmquoAS5YswTAMl6+vv/469wt3AxdW6bdK9BHndLFqxUPx8tKUHckmixdDgwbw6KNw/DhUquRcRPq336BMmave1OpMiLgbZULElXIhYqZMiJjZKROWThkTz3ahIVQyf6DFlUiesXMntG7t/D4sDAYPdu4m5udnbV0iIiIiIiJ5jGXbzlslK1uwydU99s06FkYfp0eDUrzfrbbV5YinSk0FX9+Ll/v0geBgGDoUChe2rCwRERERERFP4xHbzsvNmzVrlqWPfzYxBYByhYMtrUM8VFoajB8P5cvD3r0Xj3/1FXz88Q01g6zOhIi7USZEXCkXImbKhIiZnTKhhpAHS0xMtPTx1+5zLvCbL8D3GmeK/Mv8+VC7NjzxBBw+DGPHXrzuJraQtzoTIu5GmRBxpVyImCkTImZ2yoQaQh6sVKlSlj32il2nMr+vXSrMsjrEw2zbBnfcAe3bQ3Q0FCoE48bB++9ny91bmQkRd6RMiLhSLkTMlAkRMztlQotKe7DIyEhLHnfxjhM8/s06AO6qU4JapfJbUod4mJdeghEjnFvK+/jAU0/B669DgQLZ9hBWZULEXSkTIq6UCxEzZULEzE6Z0AghD7ZgwYJcf8wzCSkM+H4DqenOtciHdKqe6zWIhwoMdDaD7rrLOTpo1KhsbQaBNZkQcWfKhIgr5ULETJkQMbNTJjRCSK5bWnoGg37YSHxyGn7eXvz8VFMKBGs7cLkMw4A5c6BoUWjUyHns+eeheXNo1cra2kREREREREQjhDxZ48aNc+2xDMPgxZ82s2THSQAm9m5AlfB8ufb44kE2bYLbboP//te5aHRGhvN4UFCON4NyMxMinkCZEHGlXIiYKRMiZnbKhBpCHiw2NjbXHmvc73/zU9QhvL0cjOxem+aVi+TaY4uHOH4cHn8c6taF334Df39nYyg1NddKyM1MiHgCZULElXIhYqZMiJjZKRNqCHmw6OjoXHmc2X8dYeTCnQAMu6s6d9e3z6rrch2SkuC99yAiAj7/3DkiqHt3545i77zjbAzlktzKhIinUCZEXCkXImbKhIiZnTKhNYTkqtbvP8Nz0/4C4NGm5enVqKzFFYnbmT3buYMYQIMGMHo0NG1qbU0iIiIiIiJyVQ7DMAyri8hNcXFxhIWFERsbS2hoqNXl3JS0tDR8fHKup3cwJpHOH//B6YQU2lYrxqcP1Mfby5FjjyceJC4OLuQnIwO6dYPOneH++8HLuoGHOZ0JEU+jTIi4Ui5EzJQJETNPz0RWeh6aMubB5s2bl2P3HXs+lYe+XsvphBSqlwjlw3vqqBkkcOQI9OkD1apBfLzzmJcXTJ8ODz5oaTMIcjYTIp5ImRBxpVyImCkTImZ2yoQaQh4s/sIH8mx2PiWdvt+u5+8T5ygW6s8XvW8h2N9zO6SSDRIT4c03nesE/e9/zsaQG75Q5lQmRDyVMiHiSrkQMVMmRMzslAl9yvdg4eHhOXK/g2dtYdWe0/h5e/FF71sIDwvIkccRD5CRAZMnO9cIOnTIeaxJE+c6QQ0bWlvbZeRUJkQ8lTIh4kq5EDFTJkTM7JQJNYQ8WL169bL9Ptfvj2Ha+kM4HPBxr3rUKBmW7Y8hHiIpCVq1gj//dF4uW9a5m1iPHuBwz+mDOZEJEU+mTIi4Ui5EzJQJETM7ZUJTxjzY3Llzs/X+EpLTeG3mVgDaVw/ntshi2Xr/4mECAqB8eQgJgeHDndvI9+zpts0gyP5MiHg6ZULElXIhYqZMiJjZKRNqCAkAaekZPDV5A9uOxlEw2I+XOlS1uiTJbefOweuvw759F4+NHAm7dsHLL0NgoGWliYiIiIiISPbSlDEPdsstt2TL/RiGwdCfo/l9+wn8fbyY2LsBZQsFZ8t9iwfIyHAuFP3KK3DsmLMBNGWK87rixa2tLYuyKxMieYUyIeJKuRAxUyZEzOyUCTWEPFhSUlK23M/E5Xv59s/9OBwwpmcd6pUpkC33Kx5g6VIYNAg2bHBerljROS3MQ2VXJkTyCmVCxJVyIWKmTIiY2SkTmjLmwTZv3nzT9zF381HenrsNgFc7VqNDTc8aESI3aPduuPtuaNnS2QwKC4MRI2DrVujSxerqblh2ZEIkL1EmRFwpFyJmyoSImZ0yoRFCNrZ+/xkGTd0IwIONy/JI0/LWFiS555tvYPp08PKC//s/GDoUihSxuioRERERERHJJQ7DMAyri8hNcXFxhIWFERsbS2hoqNXl3JSkpCQCAgJu6Lb7TiXQdcJKYhJSaFutKJ8+0ABvL/fdPUpuUloanDgBJUo4L587B337wksvQY0a1taWjW4mEyJ5kTIh4kq5EDFTJkTMPD0TWel5aMqYB1uyZMkN3S4pNZ2H/7eWmIQUapYMY+y9ddUMyssWLoS6deGuu5wLSINzK/nvvstTzSC48UyI5FXKhIgr5ULETJkQMbNTJtQQ8mBnzpy5odtNXL6HPScTKBzixxe9GxDkp5mDedL27XDnndCuHWzZAnv2OHcQy8NuNBMieZUyIeJKuRAxUyZEzOyUCTWEPFjhwoWzfJvzKel8vXIfAC93qEbRUM8dCidXEBMDTz8NNWvCL7+Ajw8MHAh//w1VqlhdXY66kUyI5GXKhIgr5ULETJkQMbNTJjQ0xIM1btw4y7cZt3gXp86lUDDYjztra0exPGfHDmjcGC50tTt1gg8+yPONoAtuJBMieZkyIeJKuRAxUyZEzOyUCY0Q8mA///xzls7fffIcny3bA8AbnSLx9/HOibLEShERULGic22ghQth9mzbNIMg65kQyeuUCRFXyoWImTIhYmanTKghZBOGYTBk9lZS0w1aVSnCf2uXsLokyQ5btsB99zl3DQPnNvKzZsGGDdC2rbW1iYiIiIiIiNtSQ8iD1a1b97rPnb/1OMt3ncLP24s3OlXH4dCuYh7txAnntvG1a8PkyfD++xevK1HCuW6QDWUlEyJ2oEyIuFIuRMyUCREzO2XCnp8abeZsYgov/PgXAI83r0C5wsEWVyQ3LDkZxo6Ft96CuDjnsW7doE8fS8sSERERERERz6IRQh5sw4YN13Xe279sIy4pDYAnWlXKyZIkJ02fDpGR8MILzmZQvXqwdClMmwYVKlhdnVu43kyI2IUyIeJKuRAxUyZEzOyUCTWE8rgvV+xl2vpDADxzW2UC/bSQtMeaNg327IHixeHrr2HtWmje3OqqRERERERExAM5DMMwrC4iN8XFxREWFkZsbCyhoaFWl3NTzp07R0hIyBWvn7h8D2/9sg2ANlWL8kWfW3KrNMkOR486/yxe3Pnn/v3w5Zfw/PNwld+7nV0rEyJ2o0yIuFIuRMyUCREzT89EVnoeGiHkwVatWnXF684mpvDhol0AtKhchIm9G+RWWXKzzp93rhEUEQHPPnvxeNmyMHSomkFXcbVMiNiRMiHiSrkQMVMmRMzslAktKu3BTp06dcXrPl++h/hk57pB4+6rq13FPIFhwJQp8OKLcPCg89i+fZCUBAEBlpbmKa6WCRE7UiZEXCkXImbKhIiZnTKhEUIerECBApc9npyWzuQ1zobCm3dVJ1+Ab26WJTfizz+hSRO47z5nM6h0aZg0Cf74Q82gLLhSJkTsSpkQcaVciJgpEyJmdsqE1hDyYElJSQRcplkwec0BXp6+GYDtb7YnwFcLSbu1H36Anj2d3wcHw0svwTPPQFCQtXV5oCtlQsSulAkRV8qFiJkyIWLm6ZnQGkI2MWPGjMseX7s3BoB6ZfKrGeQJOnaEkiWhTx/YuRNee03NoBt0pUyI2JUyIeJKuRAxUyZEzOyUCa0hlAct/9s55/H26uEWVyIuMjLgm29g5kyYPh28vJyLREdHg4ePWBMRERERERHPoRFCHqxmzZouxw7GJHIyPhmAjjWL53ZJcjXLlsEtt8BDD8GsWfDjjxevUzMoW1wuEyJ2pkyIuFIuRMyUCREzO2VCDSEPdrl5jYt3nADAywGlC2rakVvYswe6dYMWLSAqytn8ef99uOsuqyvLczx5rq9ITlAmRFwpFyJmyoSImZ0yoYaQB1u7dq3LsUXbnA2hQW0r53Y58m9JSc4t5KtVg59+ck4P69sXdu2C558Hf3+rK8xzLpcJETtTJkRcKRciZsqEiJmdMqE1hPKQw2fPs2znSQA61S5hcTWCnx8sWgQpKXDbbTByJNho+KGIiIiIiIi4L20778FiY2MJCwvLvDxt3UGe/3ETRfP5s+bVthZWZmO//w6NGjm3jwdYvRpOnXLuJOZwWFubDfw7EyJ2p0yIuFIuRMyUCREzT8+Etp23iaioKNPlE/8sJl21uGc3ujzSjh3QqRO0aQMffHDxeKNGcMcdagblkn9nQsTulAkRV8qFiJkyIWJmp0yoIeTBjh07ZrocfSQOgHpl8ltQjU3FxMDAgVCjBsyZA97ezrWDxBL/zoSI3SkTIq6UCxEzZULEzE6Z0BpCHixfvnyZ36elZ7Bsl3P9oOaVi1hVkn2kpsInn8CQIc6mEDhHAo0YAVWrWlqanV2aCRFRJkQuR7kQMVMmRMzslAmtIeTB0tLS8PFx9vTW7I2hx6erKBDky7rXbsPbS1OUctSgQTBmjPP76tVh1Cho187SksScCRFRJkQuR7kQMVMmRMw8PRNaQ8gmpk2blvn94h3O7eabVy6iZlBOubR3OmAAlCoFEybAxo1qBrmJSzMhIsqEyOUoFyJmyoSImZ0y4bltLzFZvN3ZEGpVpajFleRBJ0/C4MGQmAj/+5/zWPnysHcveHDnWEREREREROxLI4Q8WGRkJAAn45PZfiwegGYRha0sKW9JTnauCVSpknO9oG++gZ07L16vZpDbuZAJEXFSJkRcKRciZsqEiJmdMqGGkAcLCwsD4O1fogGIKBpCoRB/K0vKGwwDZsxwrg30/PMQFwd168KSJVC5stXVyVVcyISIOCkTIq6UCxEzZULEzE6ZUEPIg61atQqAxJR0ABqWL2hlOXnDgQPQujV07Qq7d0N4OHz5JaxdCy1aWF2dXMOFTIiIkzIh4kq5EDFTJkTM7JQJzXnJA/4+eQ6A26uHW1xJHlCgAGzbBgEB8Oyz8NJLEBJidVUiIiIiIiIi2UoNIQ/Wrl07klLT2XsqAYDKxfJZXJEHOn8eJk2Chx8GLy/Ilw++/x4qVoSyZa2uTrKonXZ7EzFRJkRcKRciZsqEiJmdMqEpYx4sOjqazYdjMQwIC/SlWKjWD7puhgFTpkDVqvDYY87vL2jdWs0gDxUdHW11CSJuRZkQcaVciJgpEyJmdsqERgh5sEOHDuEfXB6A6iVCcTgcFlfkIdasgUGDYOVK5+VSpSA42NqaJFscOnTI6hJE3IoyIeJKuRAxUyZEzOyUCY0Q8mBBQUHEnk8FoECwn8XVeICDB+H++6FRI2czKCgIhg2DHTvgrrusrk6yQVBQkNUliLgVZULElXIhYqZMiJjZKRMOwzAMq4vITXFxcYSFhREbG0toaKjV5dy0UQt3Mva3XfRqVIa3u9S0uhz31qwZrFjh/L53b3j7bShZ0tqaRERERERERLJJVnoeGiHkwSZPnkxichoAIQGa/eciIwNSUi5efustZ1No7Vr4+ms1g/KgyZMnW12CiFtRJkRcKRciZsqEiJmdMqGGkIdLTE0HIMhXDSGTP/5wTg17992Lx1q0gKVLoUED6+oSERERERERcQNqCHmwypUrcz7F2RAK9NOvEoB9+6BnT2jaFNatgwkTIDn54vVaeDtPq1y5stUliLgVZULElXIhYqZMiJjZKRPqIniwokWLkpjinDIW6GfzEUJxcfDyy85t5H/4Aby84PHHYeNG8Pe3ujrJJUWLFrW6BBG3okyIuFIuRMyUCREzO2VCDSEPtmLFChKSnSOEgv28La7GQosWQUSEc3pYcjK0aQMbNsCnn0KxYlZXJ7loxYVFw0UEUCZELke5EDFTJkTM7JQJmw8r8Xz7YxIAKJk/0OJKLFShApw962wKjRwJd96pqWEiIiIiIiIiV6ERQh6sSfOWHDpzHoAKRUIsriYX7doFY8devFyhAvz2G2zZAp06qRlkY61bt7a6BBG3okyIuFIuRMyUCREzO2VCDSEPtmrz3xgGhAb4UDjEz+pyct6ZM/DMM1C9Ojz9NKxZc/G6pk3BzwbPgVzV7t27rS5BxK0oEyKulAsRM2VCxMxOmVBDyIOt230cgIhi+XDk5VExqakwbpxzStjo0c7LHTpA/vxWVyZuZv/+/VaXIOJWlAkRV8qFiJkyIWJmp0xoDSEP9neCc0RMRNE8PF3s11/h2Wdh2zbn5chIGDUKbr/d2rrELflplJiIiTIh4kq5EDFTJkTM7JQJh2EYhtVF5Ka4uDjCwsKIjY0lNDTU6nJuSssPFrPvdCL9W1bkhfZVrS4n+yUmQvnycOIEFCoEb74Jjz0GPupjioiIiIiIiPxbVnoemjLmwc4nnAOgZskwiyvJRjExcKFHGRQE773nHCH099/Qr5+aQXJV06ZNs7oEEbeiTIi4Ui5EzJQJETM7ZUINIQ8Wl+r8M0/sMJaS4pwKVrEiTJ168XifPjBihNYLkuuSlpZmdQkibkWZEHGlXIiYKRMiZnbKhBpCHsowDFIynL++sEBfi6u5CYYBs2Y5dw579lk4exa+/97qqsRDVahQweoSRNyKMiHiSrkQMVMmRMzslAk1hDxUYko66f/MrAoJ8NBpVH/9BW3aQOfOzilhxYrBxIkwY4bVlYmHKlOmjNUliLgVZULElXIhYqZMiJjZKRNqCHmoY3FJAIT4+xDi74ENoffeg7p1YfFi8PeHl1+GXbvgkUfA29vq6sRDLVmyxOoSRNyKMiHiSrkQMVMmRMzslAkP7CQIwOlzKQAUDPbQLfEaNXJOF+vZE959F8qVs7oiEREREREREdtQQ8hDxZ53rigdGugBv0LDgB9+gDNnoG9f57GWLWHrVoiMtLQ0yVuaN29udQkibkWZEHGlXIiYKRMiZnbKhAd0E+RyTp9LBiDtwkJC7mrtWhg0CP74w7mN/H//CyVKOK9TM0iy2eHDhylZsqTVZYi4DWVCxJVyIWJ2M5lIT08nNTU1mysSsdbhw4cpVKiQ1WVclZ+fH15eN78CkBpCHurgmUQAHA6HxZVcwaFD8Mor8O23zstBQfDCCxAWZm1dkqft3r2bhg0bWl2GiNtQJkRcKRciZjeSCcMwOHbsGGfPns2ZokQs5OXlxd69e60u46q8vLwoX748fn43t4SMGkIeKvifhaS93W1Z8MRE+OAD56LR5887jz3wAAwfDqVKWVub5HnZ0SUXyUuUCRFXyoWI2Y1k4kIzqGjRogQFBbnvf1KL3ICzZ8+SP39+q8u4ooyMDI4cOcLRo0cpU6bMTeXPYRiGm885yl5xcXGEhYURGxtLaGio1eXcsDGLdjJm0S7ua1SG4V1qWl3ORbt3O6eCpaTArbfC6NFwyy1WVyUiIiIiItkgPT2dnTt3UrRoUbefViOSV8XGxnLkyBEqVaqEr6+v6bqs9Dz0XyQe6nxqOgABPm6wRfvff1/8vmJF52igH36A5cvVDJJcNX36dKtLEHEryoSIK+VCxCyrmbiwZlBQUFBOlCNiuTNnzlhdwjVdmCqWnp5+U/ejhpCHOpvgBruM7dvn3Da+cmVYt+7i8Wefhe7dQUNHJZclJydbXYKIW1EmRFwpFyJmN5oJTROTvCojI8PqEq4pu/KnhpCHWrs/BoACQTe3iNQNiY93LhhdtapzJBDAsmW5X4fIv5QpU8bqEkTcijIh4kq5EDFTJkTM/P39rS4h16gh5KFKhAUCkJKWi93L9HSYOBEiIuCddyA5GVq1gqgoeOaZ3KtD5AoqV65sdQkibkWZEHGlXIiYKRNyOV988QXt2rWzugxLWN0QSk5OpkyZMqxfvz7HH0sNIQ+1as9pAMoXDs69B+3YER57DI4fh0qVYOZM+O03qFMn92oQuYpFixZZXYKIW1EmRFwpFyJmdspEnz59cDgcOBwOfHx8KFOmDP369bvsmjErV66kY8eOFChQgICAAGrWrMnIkSMvu2bL4sWL6dixI4UKFSIoKIjIyEieffZZDh8+nBs/VrZLTk5m8ODBvP7661aXkmMMw2DIkCGUKFGCwMBAWrZsydatWwHnosyX07Jly8y/P5d+3XHHHZnnLFu2jE6dOlGiRAkcDgczZ850uZ9z587x5JNPUqpUKQIDA6lWrRoTJkzIvN7f35/nnnuOF198MXt/6MtQQ8hDlS1kwSJud98NYWEwciRs3Qp33aV1gkRERERExGO0b9+eo0ePsm/fPiZOnMjPP/9M//79TefMmDGDFi1aUKpUKRYvXsz27dt5+umnefvtt7nnnnu4dKPuTz/9lLZt2xIeHs5PP/1EdHQ0n3zyCbGxsYwcOTLXfq6UlJRsu6+ffvqJkJAQmjVrdlP3c2EBcnf0/vvvM2rUKMaNG8fatWsJDw/ntttuIz4+/oq3mT59OkePHs382rJlC97e3nTv3j3znISEBGrXrs24ceOueD+DBg1i3rx5fPfdd2zbto1Bgwbx1FNPMWvWrMxzevXqxfLly9m2bVv2/MBXYthMbGysARixsbFWl3JTmrzzm1H2xTnGhgNncuYBzpwxjGefNYwff7x4LC3NME6ezJnHE8kG+/fvt7oEEbeiTIi4Ui5EzLKaifPnzxvR0dHG+fPnM49lZGQYCcmplnxlZGRcd+29e/c27rrrLtOxZ555xihYsGDm5XPnzhmFChUyunbt6nL72bNnG4AxZcoUwzAM4+DBg4afn58xcODAyz7emTNnrljLmTNnjMcee8woWrSo4e/vb1SvXt34+eefDcMwjDfeeMOoXbu26fzRo0cbZcuWdflZhg8fbhQvXtwoW7as8dJLLxmNGjVyeayaNWsagwcPzrz85ZdfGlWrVjX8/f2NKlWqGB9//LHp/E6dOhnPPfec6diaNWuMtm3bGoUKFTJCQ0ON5s2bG+vXrzedAxgTJkww/vvf/xpBQUGZjzl79myjXr16hr+/v1G+fHljyJAhRmpqaubtRo4cadSoUcMICgoySpUqZfTr18+Ij4+/4nN3szIyMozw8HDj3XffzTyWlJRkhIWFGZ988omRlJR0XfczevRoI1++fMa5c+cuez1gzJgxw+V49erVjWHDhpmO1atXz3jttddMx1q2bGm8/vrrl73vy+Xwgqz0PCzcokpuRvI/awcF+GbzIK+0NPj8cxg8GE6dgrJl4c47wd8fvL2hcOHsfTyRbHTq1CktjChyCWVCxJVyIWKWHZk4n5pO5OD52VRR1kQPu50gvxv7WLtnzx7mzZuHr69v5rEFCxZw+vRpnnvuOZfzO3XqROXKlZk8eTI9e/Zk2rRppKSk8MILL1z2/vPnz3/Z4xkZGXTo0IH4+Hi+++47KlasSHR0NN7e3lmq/7fffiM0NJSFCxdmjlp699132b17NxUrVgRg69atbN68mR9//BGAzz//nDfeeINx48ZRt25dNmzYwGOPPUZwcDC9e/cGYPny5fTq1cv0WPHx8fTu3ZuxY8cCMHLkSDp27MiuXbvIly9f5nlvvPEG77zzDqNHj8bb25v58+dz//33M3bsWJo1a8bu3bt5/PHHM88F8PLyYuzYsZQrV469e/fSv39/XnjhBcaPH3/Fn71Dhw4sX778qs/PuXPnLnt87969HDt2zLRGkr+/Py1atGDlypXcf//917WO0BdffME999xDcHDWlnFp2rQps2fP5uGHH6ZEiRIsWbKEnTt38uGHH5rOa9iw4TV/xpulhpCHSkhOAyDINxt/hfPnO7eM/2fuJNWqOaeH2WiVdfFsO3bsoF69elaXIeI2lAkRV8qFiJndMjFnzhxCQkJIT08nKSkJgFGjRmVev3PnTgCqVat22dtXrVo185xdu3YRGhpK8eLFs1TDokWLWLNmDdu2bctc1LtChQpZ/lmCg4OZOHEifn4Xd56uVasW33//feb6P5MmTeKWW27JfJw333yTkSNH0rVrVwDKly9PdHQ0n376Kb179+bs2bOcPXuWEiVKmB6rdevWpsuffvopBQoUYOnSpdx5552Zx++77z4efvjhzMsPPPAAL730UmazqUKFCrz55pu88MILmQ2hgQMHZp5fvnx53nzzTfr163fVhtDEiRM5f/78dT9Xlzp27BgAxYoVMx0vVqwY+/fvJykp6ZpNnjVr1rBlyxa++OKLLD/+2LFjeeyxxyhVqhQ+Pj54eXkxceJEmjZtajqvZMmS7Nu3L8v3nxVqCHkgwzBITnMuZpYtI4R27oRBg2DuXOflQoVg6FB4/HG4pFsuIiIiIiLyb4G+3kQPu92yx86KVq1aMWHCBBITE5k4cSI7d+7kqaeecjnPuGSdoH8fd/yzjuql32fFxo0bKVWq1E3v8FazZk1TMwica898+eWXvP766xiGweTJkzMbLidPnuTgwYM88sgjPPbYY5m3SUtLIywsDCCzyRIQEGC63xMnTjB48GB+//13jh8/Tnp6OomJiRw4cMB0XoMGDUyX169fz9q1a3n77bczj11oxiUmJhIUFMTixYsZPnw40dHRxMXFkZaWRlJSEgkJCVdszJQsWTILz9Tl/ft3l5Xf5xdffEGNGjVo2LBhlh937Nix/Pnnn8yePZuyZcuybNky+vfvT/HixWnbtm3meYGBgSQmJmb5/rNCDSEPlJZhkPHP65O/T9ZeAC/r4EFnM8jHB556Cl5/HQoUuPn7FcllPXv2tLoEEbeiTIi4Ui5EzLIjEw6H44anbeW24OBgKlWqBDg/mLdq1YqhQ4fy5ptvAmQ2abZt20aTJk1cbr99+3YiIyMzz42NjeXo0aNZGiUUGBh41eu9vLxcGlKXW6D5cs2S++67j5deeomoqCjOnz/PwYMHueeeewDnVDVwThtr1KiR6XYXpqsVKlQIh8PhsvNanz59OHnyJGPGjKFs2bL4+/vTuHFjl8Ws/11TRkYGQ4cOzRyRdKmAgAD2799Px44d6du3L2+++SYFCxZkxYoVPPLII1ddlPpmpoyFh4cDzpFCl/7eTpw4QbFixShYsOBV7zcxMZEpU6YwbNiwq553OefPn+eVV15hxowZmbuT1apVi40bNzJixAhTQygmJoYiRYpk+TGyQruMeaDzqRe3OvS/kRFCKSmwZs3Fy23awPDhzqlio0apGSQea86cOVaXIOJWlAkRV8qFiJndM/HGG28wYsQIjhw5AkC7du0oWLDgZXcImz17Nrt27eLee+8FoFu3bvj5+fH+++9f9r7Pnj172eO1atXi0KFDmVPP/q1IkSIcO3bM1BTauHHjdf08pUqVonnz5kyaNIlJkybRtm3bzKlRxYoVo2TJkuzZs4dKlSqZvsqXLw+An58fkZGRREdHm+53+fLlDBgwgI4dO1K9enX8/f05derUNeupV68eO3bscHm8SpUq4eXlxbp160hLS2PkyJH85z//oXLlypm/i6uZOHEiGzduvOrXlZQvX57w8HAWLlyYeSwlJYWlS5fSpEkTYmNjr/rYP/zwA8nJydx///3XrPPfUlNTSU1NxcvL/Dne29s7s2F3wZYtW6hbt26WHyMrPKONKybnU5wNIS8MArIyRNIw4Oef4bnn4MgR2LULLnREX345ByoVyV0JCQlWlyDiVpQJEVfKhYiZ3TPRsmVLqlevzvDhwxk3bhzBwcF8+umn3HPPPTz++OM8+eSThIaG8ttvv/H888/TrVs3evToAUDp0qUZPXo0Tz75JHFxcTz44IOUK1eOQ4cO8c033xASEnLZxlKLFi1o3rw5d999N6NGjaJSpUps374dh8NB+/btadmyJSdPnuT999+nW7duzJs3j19//ZXQ0NDr+pl69erFkCFDSElJYfTo0abrhgwZwoABAwgNDaVDhw4kJyezbt06zpw5wzPPPAPA7bffzooVK0xr+1SqVIlvv/2WBg0aEBcXx/PPP3/NkU4AgwcP5s4776R06dJ0794dLy8vNm3axObNm3nrrbeoWLEiaWlpfPTRR3Tq1Ik//viDTz755Jr3ezNTxhwOBwMHDmT48OFEREQQERHB8OHDCQoK4r777ssc9fTggw9SsmRJ3nnnHdPtv/jiCzp37kyhQoVc7vvcuXP8/fffmZf37t3Lxo0bKViwIGXKlCE0NJQWLVpkPn9ly5Zl6dKlfPPNN6a1rMDZhLswci3HXHMfsjwmL2w7f+B0glH2xTlGxMtzrv9Gf/1lGK1bG4azLWQYRYsaxpIlOVekiAWWLl1qdQkibkWZEHGlXIiYZTUTV9vu2t1dbtt5wzCMSZMmGX5+fsaBAwcyjy1btsxo3769ERYWZvj5+RmRkZHGiBEjjLS0NJfbL1y40Lj99tuNAgUKGAEBAUbVqlWN5557zjhy5MgVazl9+rTx0EMPGYUKFTICAgKMGjVqGHPmXPx8N2HCBKN06dJGcHCw8eCDDxpvv/32Zbedv5wzZ84Y/v7+RlBQ0GW3b580aZJRp04dw8/PzyhQoIDRvHlzY/r06ZnXb9u2zQgMDDTOnj2beSwqKspo0KCB4e/vb0RERBjTpk0zypYta4wePTrzHK6wzfq8efOMJk2aGIGBgUZoaKjRsGFD47PPPsu8ftSoUUbx4sWNwMBA4/bbbze++eYbAzDOnDlzxefvZmVkZBhvvPGGER4ebvj7+xvNmzc3Nm/ebBiGYcTFxRmGYRgtWrQwevfubbrdjh07DMBYsGDBZe938eLFBuDyden9HD161OjTp49RokQJIyAgwKhSpYoxcuRIIyMjI/OclStXGvnz5zcSExMv+zjZte28wzCusFpWHhUXF0dYWBixsbHX3WF1N3tOnqP1yKWE+HuzZWj7q598/LhzTaAvvoCMDOeOYYMGOUcEeejPL3IlMTEx15zzK2InyoSIK+VCxCyrmUhKSmLv3r2UL1/eZeFhyTt69OhB3bp1edmGM0nS0tLw8bF2MlX37t2pW7cur7zyymWvv1oOs9Lz0BpCHig1/Z8eXvqVF9kCICEBqleHzz93NoO6d4dt2+Cdd9QMkjxp/vz5Vpcg4laUCRFXyoWImTIhl/PBBx8QEhJidRmWuNYaQjktOTmZ2rVrM2jQoBx/LK0h5IFS0pyLTXlfa0e84GDo3RuWLYPRo6Fp05wvTkRERERERDxa2bJleeqpp6wuw5b8/f157bXXcuWxNELIA6WkOxtCQQH+5ivWr4eWLSEq6uKxt9+G1avVDBJb+Pf2mSJ2p0yIuFIuRMyUCREzO42MsrwhNH78+Mx5b/Xr12f58uVXPX/p0qXUr1+fgIAAKlSocF0rkOc1qekXRgj9M3XsyBHo0wduuQWWLoVL5xkGBICX5b9mkVxx7tw5q0sQcSvKhIgr5ULETJkQMUtPT7e6hFxjaadg6tSpDBw4kFdffZUNGzbQrFkzOnTowIEDBy57/t69e+nYsSPNmjVjw4YNvPLKKwwYMICffvoplyu3VmZDKCEO3nwTIiLgf/9z7h92//3ONYNEbGjr1q1WlyDiVpQJEVfKhYiZMiFidv78eatLyDWWriE0atQoHnnkER599FEAxowZw/z585kwYQLvvPOOy/mffPIJZcqUYcyYMQBUq1aNdevWMWLECO6+++7cLN1SqekZ3L5zJcN++xTiTjsPNm4MY8ZAw4aW1iYiIiIiIiIi7s+yEUIpKSmsX7+edu3amY63a9eOlStXXvY2q1atcjn/9ttvZ926daSmXn7HreTkZOLi4kxfni4lzaBIwlmKxZ2GMmVgyhT44w81g8T2unXrZnUJIm5FmRBxpVyImCkTImYFChSwuoRcY9kIoVOnTpGenk6xYsVMx4sVK8axY8cue5tjx45d9vy0tDROnTpF8eLFXW7zzjvvMHToUJfj06ZNIygoiK5du/Lbb78RGxtL0aJFadiwIXPmzAGgXr16ZGRksHHjRgDuuusuVqxYwenTpylYsCDNmzdn5syZANSqVQtfX1/Wr18PwB133MG6des4fvw4oaGhtGvXjh9//BGA6tWrExISwurVqwFnU2vLli0cPnyY4OBg7rzzTqZOnQpAlSpVKFy4MH/88QcAbdu25eDu7axq3IZP/BLp+8N4ps6eTcaUKVSsWJGSJUuybNkyAFq2bMmBAwfYs2cPPj4+dO/enZ9++omUlBTKli1LxYoV+f333wFo2rQpJ06cYOfOnQDce++9zJo1i8TEREqVKkVkZCQLFiwAoHHjxsTGxhIdHQ1A9+7dmTdvHvHx8YSHh1OvXj3mzp0LwC233EJSUhKbN28GoEuXLixZsoQzZ85QuHBhGjduzM8//wxA3bp1AdiwYQMAnTp1YtWqVZw6dYoCBQrQsmVLZsyYAUDNmjUJCAhg7dq1AHTs2JGoqCiOHTtGvnz5aN++PdOmTQMgMjKSsLAwVq1aBTibjtHR0Rw6dIigoCDuuusuJk+eDEDlypUpWrQoK1asAKB169bs3r2b/fv34+fnx9133820adNIS0ujQoUKlClThiVLlgDQvHlzDh8+zO7du/Hy8qJnz55Mnz6d5ORkypQpQ+XKlVm0aBEAt956K6dOnWLHjh0A9OzZkzlz5pCQkEDJkiWpUaNG5hagjRo14ty5c5nDebt168aCBQuIi4ujWLFiNGjQgF9++QWA+vXrk5qayqZNmwDo3Lkzy5YtIyYmhkKFCtG0aVNmzZoFQJ06dfDy8iLqn0XI77zzTtasWcOJEycICwujTZs2TJ8+HYAaNWoQFBTEmjVrAOjQoQN//fUXR44cISQkhI4dO/LDDz8AULVqVQoWLJjZ2L3tttvYvn07Bw8eJDAwkM6dOzNlyhQMwyAiIoLw8PDMtcNatWrFvn372Lt3L76+vnTr1o0ff/yR1NRUypcvT7ly5Vi8eDEAzZo149ixY+zatQuHw8E999zDp59+SqFChShdujRVq1Zl4cKFADRp0oSYmBi2b98OQI8ePZg7dy7nzp2jRIkS1K5dm19//RWAhg0bkpiYyJYtWwA88jVi586dHDhwAH9/f7p27crUqVPJyMjQa4QNXyPi4+O555579Brxz2vEzJkzOX/+vF4jbP4acfz4cdq2bavXCP07Qq8ROF8jdu7ciWE41ya9nteIVatWUa5cOVJSUkhLSyM5ORmHw0HBggU5c+YMGRkZ+Pv74+/vn/mf8fny5SM1NZWkpCQAChUqxNmzZ0lPT8fPz4/AwMDMrb5DQkJIT0/PnLZTsGBBYmNjSU9Px9fXl6CgoMxzg4ODMQyDxMREwPlBPj4+nrS0NHx9fQkODubs2bMABAUFAWSemz9/fhISEkhNTcXHx4d8+fJx5syZzHMdDgcJCQkAhIWFkZiYSGpqKt7e3oSFhRETEwNAYGAg3t7emWsxhYWFcf78eVJSUvD29iZ//vycPu2c1REQEICvry/x8fEAhIaGkpycTHJyMl5eXhQoUICYmBgMw8Df3x8/P7/Mcy99Dq/1fIeEhJCWlpb5fF/6HF7r+S5QoABxcXGZz/elz+HVnm8fHx9CQkJMz/elz+HVnu/AwEC8vLxMz/elz+HVnu/Q0FCSkpJISUlxeQ6v9nxfeA4vfb4vPIdpaWkUKFDgis+3n58fAQEBpuf7Sn9n//18BwcHk5GRYXq+r/R39t/Pd/78+Tl37hxpaWlkZGRgGAZz5swhNTXV9Bpx4fzr4TAupD+XHTlyhJIlS7Jy5UoaN26cefztt9/m22+/zXzBvVTlypV56KGHePnllzOP/fHHHzRt2pSjR48SHh7ucpsLv/AL4uLiKF26NLGxsYSGhmbzT5W7Jk+ezL333mt1GSJuQ5kQMVMmRFwpFyJmWc1EUlISe/fuzdwYSCSvOX36NIUKFbK6jKu6Wg7j4uIICwu7rp6HZVPGChcujLe3t8tooBMnTriMArogPDz8suf7+Phc8Rfm7+9PaGio6SuvuNLzJGJXyoSImTIh4kq5EDFTJnJPuXLlMtfDtaOWLVsycODAzMvu+nz4+vpaXUKusawh5OfnR/369TOHYl6wcOFCmjRpctnbNG7c2OX8BQsW0KBBA1v90i5o0KCB1SWIuBVlQsRMmRBxpVyImNkpE3369MHhcOBwOPDx8aFMmTL069cvc+pSXjVkyJDMn9vhcBAWFkazZs1YunSppXWtXbuWxx9/3NIaLic4ONjqEnKNpdvOP/PMM0ycOJEvv/ySbdu2MWjQIA4cOEDfvn0BePnll3nwwQczz+/bty/79+/nmWeeYdu2bXz55Zd88cUXPPfcc1b9CJa6MN9bRJyUCREzZULElXIhYma3TLRv356jR4+yb98+Jk6cyM8//0z//v2tLivHVa9enaNHj3L06FFWrVpFREQEd955Z+baNlYoUqRI5tpO7uTCGj52YGlDqGfPnowZM4Zhw4ZRp04dli1bxty5cylbtiwAR48e5cCBA5nnly9fnrlz57JkyRLq1KnDm2++ydixY2215byIiIiIiIhbSki48tc/Cxxf17n/LLh7zXNvgL+/P+Hh4ZQqVYp27drRs2fPzEXvAdLT03nkkUcoX748gYGBVKlShQ8//NB0H3369KFz586MGDGC4sWLU6hQIZ544gnTztcnTpygU6dOBAYGUr58eSZNmuRSy4EDB7jrrrsICQkhNDSUHj16cPz48czrhwwZQp06dfjyyy8pU6YMISEh9OvXj/T0dN5//33Cw8MpWrQob7/99jV/bh8fH8LDwwkPDycyMpKhQ4dy7ty5zM0AAEaNGkXNmjUJDg6mdOnS9O/fP3PxZoD9+/fTqVMnChQoQHBwMNWrV8/cBAAgOjqajh07EhISQrFixXjggQc4derUFWv695Qxh8PBxIkT6dKlC0FBQURERDB79mzTbbL6GHJ1ljaEAPr378++fftITk5m/fr1NG/ePPO6r7/+OnPnhQtatGhBVFQUycnJ7N27N3M0kR3Vr1/f6hJE3IoyIWKmTIi4Ui5EzLI1EyEhV/7693/iFy165XM7dDCfW67c5c+7SXv27GHevHmm5UcyMjIoVaoUP/zwA9HR0QwePJhXXnklcye8CxYvXszu3btZvHgx//vf//j666/5+uuvM6/v06cP+/bt4/fff+fHH39k/PjxnDhxIvN6wzDo3LkzMTExLF26lIULF7J792569uxpepzdu3fz66+/Mm/ePCZPnsyXX37JHXfcwaFDh1i6dCnvvfcer732Gn/++ed1/9zJycl8/fXX5M+fnypVqmQe9/LyYuzYsWzZsoX//e9//P7777zwwguZ1z/xxBMkJyezbNkyNm/ezHvvvUfIP7+Ho0eP0qJFC+rUqcO6deuYN28ex48fp0ePHtddF8DQoUPp0aMHmzZtomPHjvTq1Stzh7HseoxrsdOUMcu2nZebd2kHWkSUCZF/UyZEXCkXImZ2y8ScOXMytwm/sC37qFGjMq/39fVl6NChmZfLly/PypUr+eGHH0yNhwIFCjBu3Di8vb2pWrUqd9xxB7/99huPPfYYO3fu5Ndff+XPP/+kUaNGAHzxxRdUq1Yt8/aLFi1i06ZN7N27l9KlSwPw7bffUr16ddauXcstt9wCOBtUX375Jfny5SMyMpJWrVqxY8cO5s6di5eXF1WqVOG9995jyZIl/Oc//7niz7158+bM5k1iYiL58uVjCD5z6gAAHQJJREFU6tSppk2XLl3wuXz58rz55pv069eP8ePHA84RTXfffTc1a9YEoEKFCpnnT5gwgXr16jF8+PDMY19++SWlS5dm586dVK5c+aq/lwv69OmTuevd8OHD+eijj1izZg3t27fPtse4Fos2YreEGkIebNOmTVSvXt3qMkTchjIhYqZMiLhSLkTMsjUTl0wvcuHtbb58yWgZF17/msiyb98Nl/RvrVq1YsKECSQmJjJx4kR27tzJU089ZTrnk08+YeLEiezfv5/z58+TkpJCnTp1TOdUr14d70t+puLFi7N582YAtm3bho+Pj2nB7qpVq5I/f/7My9u2baN06dKZzSCAyMhI8ufPz7Zt2zIbQuXKlSNfvnyZ5xQrVgxvb2+8LnmOihUrZhp9dDlVqlTJnH4VHx/P1KlT6d69O4sXL86sc/HixQwfPpzo6Gji4uJIS0sjKSmJhIQEgoODGTBgAP369WPBggW0bduWu+++m1q1agGwfv16Fi9enNl0utTu3buvu1lz4f7AOVInX758mT9bdj3GtSQmJhIYGJgt9+XuLJ8yJiIiIiIiInlAcPCVvwICrv/cf38Yv9J5N1RiMJUqVaJWrVqMHTuW5ORk04igH374gUGDBvHwww+zYMECNm7cyEMPPURKSorpfv69y7XD4SAjIwO4OMLE4XBcsQ7DMC57/b+PX+5xrvbYV+Ln50elSpWoVKkSdevW5d1336VkyZKZa/js37+fjh07UqNGDX766SfWr1/Pxx9/DFwcRfboo4+yZ88eHnjgATZv3kyDBg346KOPAOdIpk6dOrFx40bT165du0zLwlzL1X627HoMuUgjhDxY586drS5BxK0oEyJmyoSIK+VCxMzumXjjjTfo0KED/fr1o0SJEixfvpwmTZqYdh7bvXt3lu6zWrVqpKWlsW7dOho2bAjAjh07TLtXRUZGcuDAAQ4ePJg5Sig6OprY2FjT1LKc5O3tzfl/FvBet24daWlpjBw5MnP00b/XTQIoXbo0ffv2pW/fvrz88st8/vnnPPXUU9SrV4+ffvqJcuXK4eOTM22G3HgMcE4HtAuNEPJgy5Yts7oEEbeiTIiYKRMirpQLETO7Z6Jly5ZUr149c12aSpUqsW7dOubPn8/OnTt5/fXXWbt2bZbus0qVKrRv357HHnuM1atXs379eh599FHTNKS2bdtSq1YtevXqRVRUFGvWrOHBBx+kRYsWpqlm2SUtLY1jx45x7Ngxdu3axVtvvUV0dDR33XUXABUrViQtLY2PPvqIPXv28O233/LJJ5+Y7mPgwIHMnz+fvXv3EhUVxe+//57ZvHriiSeIiYnh3nvvZc2aNezZs4cFCxbw8MMPk56eni0/Q248Bjin1NmFGkIe7MJq6yLipEyImCkTIq6UCxEzZQKeeeYZPv/8cw4ePEjfvn3p2rUrPXv2pFGjRpw+fdo0Wuh6ffXVV5QuXZoWLVrQtWtXHn/8cYoWLZp5vcPhYObMmRQoUIDmzZvTtm1bKlSowNSpU7PzR8u0detWihcvTvHixalTpw4//PADEyZM4MEHHwSgTp06jBo1ivfee48aNWowadIk3nnnHdN9pKen88QTT1CtWjXat29PlSpVMhecLlGiBH/88Qfp6encfvvt1KhRg6effpqwsDDTekc3IzceA5zNM7twGHZaQhuIi4sjLCyM2NhY04rqnmjBggW0a9fO6jJE3IYyIWKmTIi4Ui5EzLKaiaSkJPbu3Uv58uUJ+Pe6QCJ5QGxsLGFhYVaXcVVXy2FWeh4aIeTBmjZtanUJIm5FmRAxUyZEXCkXImbKhIjZ5XYxy6vUEPJgs2bNsroEEbeiTIiYKRMirpQLETNlQsTs0sW/8zo1hEREREREREREbEYNIQ9Wp04dq0sQcSvKhIiZMiHiSrkQMVMmRMyCgoKsLiHXqCHkwbJzJXWRvECZEDFTJkRcKRciZjeaCZvtTSQ24nA4rC7hmrIrf3pH9GBRUVFWlyDiVpQJETNlQsSVciFiltVM+Pr6ApCYmJgT5YhYLiEhweoSriklJQUAb2/vm7ofn+woRkRERERERPI+b29v8ufPz4kTJwDn9BpPGFEhcr1SUlJISkqyuowrysjI4OTJkwQFBeHjc3MtHYdhs7F+cXFxhIWFERsbS2hoqNXl3JT4+Hjy5ctndRkibkOZEDFTJkRcKRciZjeSCcMwOHbsmK12YxL7yMjIcPvpxV5eXpQvXx4/Pz+X67LS89AIIQ+2Zs0a2rRpY3UZIm5DmRAxUyZEXCkXImY3kgmHw0Hx4sUpWrQoqampOVSZiDVWrVpF48aNrS7jqvz8/LKlaaWGkAe7MExTRJyUCREzZULElXIhYnYzmfD29r7pNUxE3M2xY8cICAiwuoxc4d7joOSqwsLCrC5BxK0oEyJmyoSIK+VCxEyZEDGzUya0hpAHS05Oxt/f3+oyRNyGMiFipkyIuFIuRMyUCREzT89EVnoeGiHkwaZPn251CSJuRZkQMVMmRFwpFyJmyoSImZ0yYbs1hC4MiIqLi7O4kpuXmJiYJ34OkeyiTIiYKRMirpQLETNlQsTM0zNxofbrmQxmuyljhw4donTp0laXISIiIiIiIiKSIw4ePEipUqWueo7tGkIZGRkcOXKEfPny4XA4rC7nhsXFxVG6dGkOHjzo8WshiWQHZULETJkQcaVciJgpEyJmeSEThmEQHx9PiRIlrrk1ve2mjHl5eV2zS+ZJQkNDPfYvqkhOUCZEzJQJEVfKhYiZMiFi5umZuN6d0rSotIiIiIiIiIiIzaghJCIiIiIiIiJiM2oIeSh/f3/eeOMN/P39rS5FxC0oEyJmyoSIK+VCxEyZEDGzWyZst6i0iIiIiIiIiIjdaYSQiIiIiIiIiIjNqCEkIiIiIiIiImIzagiJiIiIiIiIiNiMGkIiIiIiIiIiIjajhpAbGz9+POXLlycgIID69euzfPnyq56/dOlS6tevT0BAABUqVOCTTz7JpUpFckdWMjF9+nRuu+02ihQpQmhoKI0bN2b+/Pm5WK1Izsvq+8QFf/zxBz4+PtSpUydnCxTJZVnNRHJyMq+++iply5bF39+fihUr8uWXX+ZStSK5I6u5mDRpErVr1yYoKIjixYvz0EMPcfr06VyqViRnLVu2jE6dOlGiRAkcDgczZ8685m3y8udsNYTc1NSpUxk4cCCvvvoqGzZsoFmzZnTo0IEDBw5c9vy9e/fSsWNHmjVrxoYNG3jllVcYMGAAP/30Uy5XLpIzspqJZcuWcdtttzF37lzWr19Pq1at6NSpExs2bMjlykVyRlYzcUFsbCwPPvggbdq0yaVKRXLHjWSiR48e/Pbbb3zxxRfs2LGDyZMnU7Vq1VysWiRnZTUXK1as4MEHH+SRRx5h69atTJs2jbVr1/Loo4/mcuUiOSMhIYHatWszbty46zo/r3/O1rbzbqpRo0bUq1ePCRMmZB6rVq0anTt35p133nE5/8UXX2T27Nls27Yt81jfvn3566+/WLVqVa7ULJKTspqJy6levTo9e/Zk8ODBOVWmSK650Uzcc889RERE4O3tzcyZM9m4cWMuVCuS87KaiXnz5nHPPfewZ88eChYsmJuliuSarOZixIgRTJgwgd27d2ce++ijj3j//fc5ePBgrtQsklscDgczZsygc+fOVzwnr3/O1gghN5SSksL69etp166d6Xi7du1YuXLlZW+zatUql/Nvv/121q1bR2pqao7VKpIbbiQT/5aRkUF8fLz+0S95wo1m4quvvmL37t288cYbOV2iSK66kUzMnj2bBg0a8P7771OyZEkqV67Mc889x/nz53OjZJEcdyO5aNKkCYcOHWLu3LkYhsHx48f58ccfueOOO3KjZBG3k9c/Z/tYXYC4OnXqFOnp6RQrVsx0vFixYhw7duyytzl27Nhlz09LS+PUqVMUL148x+oVyWk3kol/GzlyJAkJCfTo0SMnShTJVTeSiV27dvHSSy+xfPlyfHz09i95y41kYs+ePaxYsYKAgABmzJjBqVOn6N+/PzExMVpHSPKEG8lFkyZNmDRpEj179iQpKYm0tDT++9//8tFHH+VGySJuJ69/ztYIITfmcDhMlw3DcDl2rfMvd1zEU2U1ExdMnjyZIUOGMHXqVIoWLZpT5YnkuuvNRHp6Ovfddx9Dhw6lcuXKuVWeSK7LyvtERkYGDoeDSZMm0bBhQzp27MioUaP4+uuvNUpI8pSs5CI6OpoBAwYwePBg1q9fz7x589i7dy99+/bNjVJF3FJe/pyt/yJ0Q4ULF8bb29ulc3/ixAmX7uQF4eHhlz3fx8eHQoUK5VitIrnhRjJxwdSpU3nkkUeYNm0abdu2zckyRXJNVjMRHx/PunXr2LBhA08++STg/DBsGAY+Pj4sWLCA1q1b50rtIjnhRt4nihcvTsmSJQkLC8s8Vq1aNQzD4NChQ0RERORozSI57UZy8c4773Drrbfy/PPPA1CrVi2Cg4Np1qwZb731lsePhhDJqrz+OVsjhNyQn58f9evXZ+HChabjCxcupEmTJpe9TePGjV3OX7BgAQ0aNMDX1zfHahXJDTeSCXCODOrTpw/ff/+95r5LnpLVTISGhrJ582Y2btyY+dW3b1+qVKnCxo0badSoUW6VLpIjbuR94tZbb+XIkSOcO3cu89jOnTvx8vKiVKlSOVqvSG64kVwkJibi5WX+iOjt7Q1cHBUhYid5/nO2IW5pypQphq+vr/HFF18Y0dHRxsCBA43g4GBj3759hmEYxksvvWQ88MADmefv2bPHCAoKMgYNGmRER0cbX3zxheHr62v8+OOPVv0IItkqq5n4/vvvDR8fH+Pjjz82jh49mvl19uxZq34EkWyV1Uz82xtvvGHUrl07l6oVyXlZzUR8fLxRqlQpo1u3bsbWrVuNpUuXGhEREcajjz5q1Y8gku2ymouvvvrK8PHxMcaPH2/s3r3bWLFihdGgQQOjYcOGVv0IItkqPj7e2LBhg7FhwwYDMEaNGmVs2LDB2L9/v2EY9vucrYaQG/v444+NsmXLGn5+fka9evWMpUuXZl7Xu3dvo0WLFqbzlyxZYtStW9fw8/MzypUrZ0yYMCGXKxbJWVnJRIsWLQzA5at37965X7hIDsnq+8Sl1BCSvCirmdi2bZvRtm1bIzAw0ChVqpTxzDPPGImJiblctUjOymouxo4da0RGRhqBgYFG8eLFjV69ehmHDh3K5apFcsbixYuv+hnBbp+zHYahsX8iIiIiIiIiInaiNYRERERERERERGxGDSEREREREREREZtRQ0hERERERERExGbUEBIRERERERERsRk1hEREREREREREbEYNIRERERERERERm1FDSERERERERETEZtQQEhERERERERGxGTWERERExG19/fXX5M+f/6bvZ8iQIRQrVgyHw8HMmTNv+v7c1b59+3A4HGzcuPGq57Vs2ZKBAwdmXk5MTOTuu+8mNDQUh8PB2bNnb+jxH3jgAYYPH35Dt70Zzz33HAMGDMj1xxUREfFkagiJiIjYkMPhuOpXnz59rC4x22zbto2hQ4fy6aefcvToUTp06GB1STmmdOnSHD16lBo1agCwZMmSyzZ4pk+fzptvvpl5+X//+x/Lly9n5cqVHD16lLCwsCw/9qZNm/jll1946qmnMo+1bPn/7d19TJXl/wfw9wHh8CCgBngkDSLQESEIxqAUEBKIAiEL1+AEPiBRDOxBzIE8uDRiklQMKVkQ4JA1oCZO1BIG5WQYKkPOKJkQNUoLRBF5Oty/Pxz3r5tzQPnaN/f7nfdru/+4Hu77+lyHswGfXdd1+2n9fk1MTGi0y+VyLF++HPv374darZbEP3U98sgj8Pf3xw8//CAZOyUlBcXFxbh69eqc4yYiItJVTAgRERHpoL6+PvHKy8uDubm5pO7jjz9+2CH+Y7q6ugAAGzZsgEKhgFwuf8gR/ffo6+tDoVBg3rx5s/ZbtGgRzMzMxHJXVxecnJzw1FNPQaFQQCaTzXns/Px8vPLKK5LnAkBcXJzku9XX1yeJb6q9s7MTSUlJSEtLw4EDByTP6OzsRF9fHxoaGmBlZYUXXngB165dE9utra0RGBiIwsLCOcdNRESkq5gQIiIi0kEKhUK8LCwsIJPJxLKBgQFef/11LF26FCYmJnBxcUFFRYXkfjs7O+Tl5Unq3NzckJmZCeDuyg5DQ0M0NTWJ7bm5ubC0tERfX9+McZWUlOCxxx6DiYkJIiIi8Ndff2n0OXbsGDw8PGBkZAR7e3tkZWWJK06my8zMRGhoKABAT09PTHS0tLRg/fr1sLS0hIWFBXx9fdHa2irep23r1Y0bNyCTydDQ0AAA2Lt3L2xsbCQxhoWFwcfHB5OTk1rjiY2NRXh4OLKysmBtbQ1zc3PEx8djbGxM7DM6OoqkpCRYW1vDyMgIa9asQUtLi9g+MDCAqKgoWFlZwdjYGI6OjiguLtaIu7u7G+vWrQMALFy4ULLy6+9bxvz8/JCbm4vGxkbIZDL4+fkBAAoKCuDo6AgjIyMsXrwYL7/8stY5AcDk5CS++uorhIWFabSZmJhIvm8KhUJru52dHRITExEQEKCxrc/a2hoKhQIuLi5IS0vD4OAgmpubJX3CwsI0vqdEREQ0MyaEiIiISGJkZAQeHh6ora1Fe3s7tm/fDqVSqfEP+GymEg5KpRKDg4O4dOkSUlNTcfjwYSxZskTrPc3NzdiyZQveeOMNXLx4EevWrcP7778v6XPy5ElER0cjKSkJHR0d+Oyzz1BSUoJ9+/Zpfea7774rJkumVqcAwK1btxATE4OmpiacO3cOjo6OCAkJwa1bt+57jqmpqbCzs8O2bdsAAIWFhWhsbERZWRn09Gb+E+u7776DSqVCfX09KioqUFNTg6ysLLE9JSUFVVVV+PLLL9Ha2goHBwcEBQWhv78fALBnzx50dHTgxIkTUKlUOHToECwtLTXGWbZsGaqqqgD87wobbSu/qqurERcXB29vb/T19aG6uhrnz59HUlIS9u7di87OTtTV1cHHx2fGObW1teHGjRtYvXr1/X14szA2Nsb4+LjWtuHhYfHnaWBgIGnz9PREb28venp6HjgGIiIinSAQERGRTisuLhYsLCxm7RMSEiK88847YtnW1lY4ePCgpI+rq6uQkZEhlkdHR4VVq1YJkZGRgrOzs7Bt27ZZx3j11VeF4OBgSd2mTZsksa1du1bYv3+/pE9ZWZmwZMmSGZ9bU1Mj3OtPnomJCcHMzEw4duyYIAiCcPXqVQGAcOHCBbHPwMCAAECor68X67q6ugQzMzNh165dgomJiVBeXj7rODExMcKiRYuE27dvi3WHDh0S5s+fL6jVamFoaEgwMDAQjhw5IraPjY0JNjY2Qk5OjiAIghAaGips3rxZ6/Onx11fXy8AEAYGBiT9fH19heTkZLGcnJws+Pr6iuWqqirB3NxcuHnz5qzzmVJTUyPo6+sLk5OTGuMYGBgIpqam4vX2229rjUOtVgsnTpwQDA0NhZSUFEn8U/fKZDIBgODh4SGMjY1JxhocHBQACA0NDfcVMxERka6bfYM5ERER6Ry1Wo3s7GxUVlbit99+w+joKEZHR2Fqajqn5xgaGqK8vBwrV66Era2txhaz6VQqFSIiIiR13t7eqKurE8s//vgjWlpaJCuC1Go1RkZGMDw8DBMTk/uK7dq1a0hPT8eZM2fwxx9/QK1WY3h4GL/88sv9TxCAvb09Dhw4gPj4eGzatAlRUVH3vMfV1VUSp7e3N4aGhtDb24vBwUGMj4/j2WefFdsNDAzg6ekJlUoFAEhISMDGjRvR2tqKwMBAhIeH45lnnplT3Peyfv162Nrawt7eHsHBwQgODkZERMSMn++dO3cgl8u1nj0UFRWF1NRUsTz9rXEFBQUoKioSt80plUpkZGRI+jQ1NcHU1BQXLlzArl27UFJSorFCyNjYGMDdVURERER0b0wIERERkURubi4OHjyIvLw8uLi4wNTUFDt27JCcc6OnpwdBECT3advmc/bsWQBAf38/+vv7Z00qTX+eNpOTk8jKysJLL72k0WZkZHTP+6fExsbi+vXryMvLg62tLeRyOby9vcU5Tm35+ntMM21jamxshL6+Prq7uzExMXHPA51nIpPJxPGmJ1YEQRDrnn/+efT09OD48eP49ttvERAQgDfffFPjIOYHYWZmhtbWVjQ0NODUqVNIT09HZmYmWlpaNBI6AGBpaYnh4WGMjY3B0NBQ0mZhYQEHB4cZx5pKGMnlctjY2EBfX1+jz+OPP44FCxZg+fLlGBkZQUREBNrb2yUHhE9tqbOysvoPZ01ERKRbeIYQERERSTQ1NWHDhg2Ijo6Gq6sr7O3t8fPPP0v6WFlZSQ6HvnnzpsYrv7u6uvDWW2/h8OHD8PLywmuvvTbjYcsA8OSTT+LcuXOSuulld3d3dHZ2wsHBQeOa7dwebXNMSkpCSEgInJ2dIZfL8eeff0rmB0Ayx78fMD2lsrIS1dXVaGhoQG9vr+RV7jO5dOkS7ty5I5nj/PnzsXTpUjg4OMDQ0BDff/+92D4+Po7z58/DyclJEl9sbCzKy8uRl5eHzz//XOtYU8mZqde4z8W8efPw3HPPIScnB21tbeju7saZM2e09nVzcwMAdHR0zHmcqYTRsmXLtCaDplMqlZicnERBQYGkvr29HQYGBnB2dp5zDERERLqICSEiIiKScHBwwOnTp3H27FmoVCrEx8fj999/l/Tx9/dHWVkZmpqa0N7ejpiYGMk/82q1GkqlEoGBgdi8eTOKi4vR3t6O3NzcGcdNSkpCXV0dcnJy8NNPPyE/P1+yXQwA0tPTUVpaiszMTFy+fBkqlQqVlZVIS0ub8xzLysqgUqnQ3NyMqKgoccsRcHf7kZeXF7Kzs9HR0YHGxkaNMX799VckJCTgww8/xJo1a1BSUoIPPvhAI4k13djYGLZu3SoeDJ2RkYHExETo6enB1NQUCQkJ2LlzJ+rq6tDR0YG4uDgMDw9j69at4mfwzTff4MqVK7h8+TJqa2slyaK/s7W1hUwmQ21tLa5fv46hoaH7+nxqa2vxySef4OLFi+jp6UFpaSkmJyexYsUKrf2trKzg7u4uSWT9t+jp6WHHjh3Izs6WbA9ramrC2rVrJT9HIiIimhkTQkRERCSxZ88euLu7IygoCH5+flAoFAgPD5f02b17N3x8fPDiiy8iJCQE4eHheOKJJ8T2ffv2obu7W1y5olAoUFRUhLS0NK0rbQDAy8sLRUVF+PTTT+Hm5oZTp05pJGGCgoJQW1uL06dP4+mnn4aXlxc++ugj2NrazmmOX3zxBQYGBrBq1SoolUrxNe/T+4yPj2P16tVITk6WvPFMEATExsbC09MTiYmJAO6eu5OYmIjo6OhZEy8BAQFwdHSEj48PIiMjERoaiszMTLE9OzsbGzduhFKphLu7O65cuYKTJ09i4cKFAO6u+tm9ezdWrlwJHx8f6Ovr4+jRo1rHevTRR5GVlYX33nsPixcvFmO9lwULFqC6uhr+/v5wcnJCYWEhKioqZl19s337dhw5cuS+nv+gtmzZgvHxceTn54t1FRUViIuL+1fGJyIi+v9AJtzPhn0iIiIiemCxsbG4ceMGvv7664cdyj9uZGQEK1aswNGjR+Ht7f2vjn38+HHs3LkTbW1t//EZTkRERLqGK4SIiIiI6IEZGRmhtLRUchbTv+X27dsoLi5mMoiIiGgO+FuTiIiIiP4Rvr6+D2XcyMjIhzIuERHR/2XcMkZEREREREREpGO4ZYyIiIiIiIiISMcwIUREREREREREpGOYECIiIiIiIiIi0jFMCBERERERERER6RgmhIiIiIiIiIiIdAwTQkREREREREREOoYJISIiIiIiIiIiHcOEEBERERERERGRjvkfIVE+O3S8bQ8AAAAASUVORK5CYII=",
|
|
"text/plain": [
|
|
"<Figure size 1400x800 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"draw_roc_curve(X_test, y_test)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "ab122f66-1591-43ea-a364-2564f09b2bb3",
|
|
"metadata": {},
|
|
"source": [
|
|
"# Segmentation du score de prédiction"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 61,
|
|
"id": "279e18c7-29d8-4328-963a-18babd13c2c8",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 1000x600 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"coefficients = pipeline.named_steps['logreg'].coef_[0]\n",
|
|
"feature_names = pipeline.named_steps['logreg'].feature_names_in_\n",
|
|
"\n",
|
|
"# Tracer l'importance des caractéristiques\n",
|
|
"plt.figure(figsize=(10, 6))\n",
|
|
"plt.barh(feature_names, coefficients, color='skyblue')\n",
|
|
"plt.xlabel('Importance des caractéristiques')\n",
|
|
"plt.ylabel('Caractéristiques')\n",
|
|
"plt.title('Importance des caractéristiques dans le modèle de régression logistique')\n",
|
|
"plt.grid(True)\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 70,
|
|
"id": "210b931c-6d46-4ebf-a9c7-d1ee05c3fadf",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Création d'un dataframe avec le score\n",
|
|
"dataset_for_segmentation = dataset_test[['customer_id'] + numeric_features + categorical_features]\n",
|
|
"\n",
|
|
"y_predict_proba = pipeline.predict_proba(X_test)[:, 1]\n",
|
|
"\n",
|
|
"dataset_for_segmentation['prediction_probability'] = y_predict_proba\n",
|
|
"\n",
|
|
"# Arrondir les valeurs de la colonne 'prediction_probability' et les multiplier par 10\n",
|
|
"dataset_for_segmentation['category'] = dataset_for_segmentation['prediction_probability'].apply(lambda x: int(x * 10))\n",
|
|
"\n",
|
|
"dataset_for_segmentation['prediction'] = y_pred\n",
|
|
"\n",
|
|
"def premiere_partie(chaine):\n",
|
|
" if chaine:\n",
|
|
" return chaine.split('_')[0]\n",
|
|
" else:\n",
|
|
" return None\n",
|
|
"\n",
|
|
"dataset_for_segmentation['company_number'] = dataset_for_segmentation['customer_id'].apply(lambda x: premiere_partie(x))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "055e47dd-9ff3-4853-a46d-d5a5edc1f361",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 73,
|
|
"id": "969f1f92-d715-4d74-85a7-437e72838cb5",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<div>\n",
|
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"<style scoped>\n",
|
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" .dataframe tbody tr th:only-of-type {\n",
|
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" vertical-align: middle;\n",
|
|
" }\n",
|
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"\n",
|
|
" .dataframe tbody tr th {\n",
|
|
" vertical-align: top;\n",
|
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" }\n",
|
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"\n",
|
|
" .dataframe thead tr th {\n",
|
|
" text-align: left;\n",
|
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" }\n",
|
|
"\n",
|
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" .dataframe thead tr:last-of-type th {\n",
|
|
" text-align: right;\n",
|
|
" }\n",
|
|
"</style>\n",
|
|
"<table border=\"1\" class=\"dataframe\">\n",
|
|
" <thead>\n",
|
|
" <tr>\n",
|
|
" <th></th>\n",
|
|
" <th>nb_tickets</th>\n",
|
|
" <th>nb_purchases</th>\n",
|
|
" <th>total_amount</th>\n",
|
|
" <th>nb_suppliers</th>\n",
|
|
" <th>vente_internet_max</th>\n",
|
|
" <th>purchase_date_min</th>\n",
|
|
" <th>purchase_date_max</th>\n",
|
|
" <th>time_between_purchase</th>\n",
|
|
" <th>nb_tickets_internet</th>\n",
|
|
" <th>fidelity</th>\n",
|
|
" <th>gender_female</th>\n",
|
|
" <th>gender_male</th>\n",
|
|
" <th>gender_other</th>\n",
|
|
" <th>nb_campaigns</th>\n",
|
|
" <th>nb_campaigns_opened</th>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th></th>\n",
|
|
" <th>mean</th>\n",
|
|
" <th>mean</th>\n",
|
|
" <th>mean</th>\n",
|
|
" <th>mean</th>\n",
|
|
" <th>mean</th>\n",
|
|
" <th>mean</th>\n",
|
|
" <th>mean</th>\n",
|
|
" <th>mean</th>\n",
|
|
" <th>mean</th>\n",
|
|
" <th>mean</th>\n",
|
|
" <th>mean</th>\n",
|
|
" <th>mean</th>\n",
|
|
" <th>mean</th>\n",
|
|
" <th>mean</th>\n",
|
|
" <th>mean</th>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>category</th>\n",
|
|
" <th></th>\n",
|
|
" <th></th>\n",
|
|
" <th></th>\n",
|
|
" <th></th>\n",
|
|
" <th></th>\n",
|
|
" <th></th>\n",
|
|
" <th></th>\n",
|
|
" <th></th>\n",
|
|
" <th></th>\n",
|
|
" <th></th>\n",
|
|
" <th></th>\n",
|
|
" <th></th>\n",
|
|
" <th></th>\n",
|
|
" <th></th>\n",
|
|
" <th></th>\n",
|
|
" </tr>\n",
|
|
" </thead>\n",
|
|
" <tbody>\n",
|
|
" <tr>\n",
|
|
" <th>0</th>\n",
|
|
" <td>0.113637</td>\n",
|
|
" <td>0.006274</td>\n",
|
|
" <td>1.586366</td>\n",
|
|
" <td>0.005821</td>\n",
|
|
" <td>0.000647</td>\n",
|
|
" <td>548.790455</td>\n",
|
|
" <td>548.773103</td>\n",
|
|
" <td>-0.977118</td>\n",
|
|
" <td>0.001585</td>\n",
|
|
" <td>0.000776</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>0.000032</td>\n",
|
|
" <td>0.999968</td>\n",
|
|
" <td>13.984219</td>\n",
|
|
" <td>1.302720</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>1</th>\n",
|
|
" <td>0.810841</td>\n",
|
|
" <td>0.128432</td>\n",
|
|
" <td>9.611292</td>\n",
|
|
" <td>0.125295</td>\n",
|
|
" <td>0.018186</td>\n",
|
|
" <td>525.437516</td>\n",
|
|
" <td>525.275222</td>\n",
|
|
" <td>-0.729328</td>\n",
|
|
" <td>0.054312</td>\n",
|
|
" <td>0.111832</td>\n",
|
|
" <td>0.245480</td>\n",
|
|
" <td>0.495929</td>\n",
|
|
" <td>0.258591</td>\n",
|
|
" <td>18.413562</td>\n",
|
|
" <td>3.718711</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>2</th>\n",
|
|
" <td>1.159419</td>\n",
|
|
" <td>0.339253</td>\n",
|
|
" <td>15.182143</td>\n",
|
|
" <td>0.337577</td>\n",
|
|
" <td>0.323824</td>\n",
|
|
" <td>501.529129</td>\n",
|
|
" <td>501.415505</td>\n",
|
|
" <td>-0.554439</td>\n",
|
|
" <td>0.969939</td>\n",
|
|
" <td>0.304757</td>\n",
|
|
" <td>0.392570</td>\n",
|
|
" <td>0.297258</td>\n",
|
|
" <td>0.310173</td>\n",
|
|
" <td>17.395042</td>\n",
|
|
" <td>2.608084</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>3</th>\n",
|
|
" <td>2.153080</td>\n",
|
|
" <td>0.744161</td>\n",
|
|
" <td>27.820044</td>\n",
|
|
" <td>0.734881</td>\n",
|
|
" <td>0.600982</td>\n",
|
|
" <td>287.051054</td>\n",
|
|
" <td>286.675385</td>\n",
|
|
" <td>0.105360</td>\n",
|
|
" <td>1.776035</td>\n",
|
|
" <td>0.659878</td>\n",
|
|
" <td>0.288813</td>\n",
|
|
" <td>0.253244</td>\n",
|
|
" <td>0.457943</td>\n",
|
|
" <td>16.790421</td>\n",
|
|
" <td>4.173954</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>4</th>\n",
|
|
" <td>2.044749</td>\n",
|
|
" <td>0.777640</td>\n",
|
|
" <td>27.353145</td>\n",
|
|
" <td>0.754549</td>\n",
|
|
" <td>0.079213</td>\n",
|
|
" <td>297.179255</td>\n",
|
|
" <td>295.019902</td>\n",
|
|
" <td>1.898178</td>\n",
|
|
" <td>0.293760</td>\n",
|
|
" <td>0.894877</td>\n",
|
|
" <td>0.666980</td>\n",
|
|
" <td>0.301424</td>\n",
|
|
" <td>0.031596</td>\n",
|
|
" <td>16.954707</td>\n",
|
|
" <td>6.060621</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>5</th>\n",
|
|
" <td>3.237988</td>\n",
|
|
" <td>0.958520</td>\n",
|
|
" <td>46.637380</td>\n",
|
|
" <td>0.807655</td>\n",
|
|
" <td>0.484785</td>\n",
|
|
" <td>387.464785</td>\n",
|
|
" <td>380.145068</td>\n",
|
|
" <td>7.111357</td>\n",
|
|
" <td>2.080397</td>\n",
|
|
" <td>1.164958</td>\n",
|
|
" <td>0.497758</td>\n",
|
|
" <td>0.259769</td>\n",
|
|
" <td>0.242473</td>\n",
|
|
" <td>27.006406</td>\n",
|
|
" <td>12.457719</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>6</th>\n",
|
|
" <td>3.592233</td>\n",
|
|
" <td>1.102881</td>\n",
|
|
" <td>49.989226</td>\n",
|
|
" <td>0.878014</td>\n",
|
|
" <td>0.599906</td>\n",
|
|
" <td>268.627019</td>\n",
|
|
" <td>250.949344</td>\n",
|
|
" <td>17.539247</td>\n",
|
|
" <td>2.525994</td>\n",
|
|
" <td>1.420921</td>\n",
|
|
" <td>0.534607</td>\n",
|
|
" <td>0.304259</td>\n",
|
|
" <td>0.161134</td>\n",
|
|
" <td>14.073285</td>\n",
|
|
" <td>4.604134</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>7</th>\n",
|
|
" <td>3.747016</td>\n",
|
|
" <td>1.391266</td>\n",
|
|
" <td>40.710335</td>\n",
|
|
" <td>0.914702</td>\n",
|
|
" <td>0.160990</td>\n",
|
|
" <td>309.716173</td>\n",
|
|
" <td>274.795570</td>\n",
|
|
" <td>34.796876</td>\n",
|
|
" <td>0.844250</td>\n",
|
|
" <td>1.963028</td>\n",
|
|
" <td>0.650364</td>\n",
|
|
" <td>0.263464</td>\n",
|
|
" <td>0.086172</td>\n",
|
|
" <td>26.186317</td>\n",
|
|
" <td>8.891703</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>8</th>\n",
|
|
" <td>5.698276</td>\n",
|
|
" <td>1.567006</td>\n",
|
|
" <td>63.033699</td>\n",
|
|
" <td>0.907915</td>\n",
|
|
" <td>0.334248</td>\n",
|
|
" <td>326.485952</td>\n",
|
|
" <td>257.940194</td>\n",
|
|
" <td>68.425460</td>\n",
|
|
" <td>2.794279</td>\n",
|
|
" <td>2.413009</td>\n",
|
|
" <td>0.606583</td>\n",
|
|
" <td>0.251567</td>\n",
|
|
" <td>0.141850</td>\n",
|
|
" <td>30.987461</td>\n",
|
|
" <td>11.676332</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>9</th>\n",
|
|
" <td>14.505956</td>\n",
|
|
" <td>3.211571</td>\n",
|
|
" <td>107.288514</td>\n",
|
|
" <td>1.011628</td>\n",
|
|
" <td>0.157119</td>\n",
|
|
" <td>369.696066</td>\n",
|
|
" <td>209.280306</td>\n",
|
|
" <td>160.348544</td>\n",
|
|
" <td>3.514464</td>\n",
|
|
" <td>5.394498</td>\n",
|
|
" <td>0.669314</td>\n",
|
|
" <td>0.223766</td>\n",
|
|
" <td>0.106920</td>\n",
|
|
" <td>45.928247</td>\n",
|
|
" <td>18.241634</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>10</th>\n",
|
|
" <td>2262.859155</td>\n",
|
|
" <td>45.619718</td>\n",
|
|
" <td>11051.732394</td>\n",
|
|
" <td>1.464789</td>\n",
|
|
" <td>0.154930</td>\n",
|
|
" <td>467.111875</td>\n",
|
|
" <td>31.146796</td>\n",
|
|
" <td>435.950994</td>\n",
|
|
" <td>54.295775</td>\n",
|
|
" <td>64.704225</td>\n",
|
|
" <td>0.507042</td>\n",
|
|
" <td>0.295775</td>\n",
|
|
" <td>0.197183</td>\n",
|
|
" <td>53.352113</td>\n",
|
|
" <td>26.070423</td>\n",
|
|
" </tr>\n",
|
|
" </tbody>\n",
|
|
"</table>\n",
|
|
"</div>"
|
|
],
|
|
"text/plain": [
|
|
" nb_tickets nb_purchases total_amount nb_suppliers \\\n",
|
|
" mean mean mean mean \n",
|
|
"category \n",
|
|
"0 0.113637 0.006274 1.586366 0.005821 \n",
|
|
"1 0.810841 0.128432 9.611292 0.125295 \n",
|
|
"2 1.159419 0.339253 15.182143 0.337577 \n",
|
|
"3 2.153080 0.744161 27.820044 0.734881 \n",
|
|
"4 2.044749 0.777640 27.353145 0.754549 \n",
|
|
"5 3.237988 0.958520 46.637380 0.807655 \n",
|
|
"6 3.592233 1.102881 49.989226 0.878014 \n",
|
|
"7 3.747016 1.391266 40.710335 0.914702 \n",
|
|
"8 5.698276 1.567006 63.033699 0.907915 \n",
|
|
"9 14.505956 3.211571 107.288514 1.011628 \n",
|
|
"10 2262.859155 45.619718 11051.732394 1.464789 \n",
|
|
"\n",
|
|
" vente_internet_max purchase_date_min purchase_date_max \\\n",
|
|
" mean mean mean \n",
|
|
"category \n",
|
|
"0 0.000647 548.790455 548.773103 \n",
|
|
"1 0.018186 525.437516 525.275222 \n",
|
|
"2 0.323824 501.529129 501.415505 \n",
|
|
"3 0.600982 287.051054 286.675385 \n",
|
|
"4 0.079213 297.179255 295.019902 \n",
|
|
"5 0.484785 387.464785 380.145068 \n",
|
|
"6 0.599906 268.627019 250.949344 \n",
|
|
"7 0.160990 309.716173 274.795570 \n",
|
|
"8 0.334248 326.485952 257.940194 \n",
|
|
"9 0.157119 369.696066 209.280306 \n",
|
|
"10 0.154930 467.111875 31.146796 \n",
|
|
"\n",
|
|
" time_between_purchase nb_tickets_internet fidelity gender_female \\\n",
|
|
" mean mean mean mean \n",
|
|
"category \n",
|
|
"0 -0.977118 0.001585 0.000776 0.000000 \n",
|
|
"1 -0.729328 0.054312 0.111832 0.245480 \n",
|
|
"2 -0.554439 0.969939 0.304757 0.392570 \n",
|
|
"3 0.105360 1.776035 0.659878 0.288813 \n",
|
|
"4 1.898178 0.293760 0.894877 0.666980 \n",
|
|
"5 7.111357 2.080397 1.164958 0.497758 \n",
|
|
"6 17.539247 2.525994 1.420921 0.534607 \n",
|
|
"7 34.796876 0.844250 1.963028 0.650364 \n",
|
|
"8 68.425460 2.794279 2.413009 0.606583 \n",
|
|
"9 160.348544 3.514464 5.394498 0.669314 \n",
|
|
"10 435.950994 54.295775 64.704225 0.507042 \n",
|
|
"\n",
|
|
" gender_male gender_other nb_campaigns nb_campaigns_opened \n",
|
|
" mean mean mean mean \n",
|
|
"category \n",
|
|
"0 0.000032 0.999968 13.984219 1.302720 \n",
|
|
"1 0.495929 0.258591 18.413562 3.718711 \n",
|
|
"2 0.297258 0.310173 17.395042 2.608084 \n",
|
|
"3 0.253244 0.457943 16.790421 4.173954 \n",
|
|
"4 0.301424 0.031596 16.954707 6.060621 \n",
|
|
"5 0.259769 0.242473 27.006406 12.457719 \n",
|
|
"6 0.304259 0.161134 14.073285 4.604134 \n",
|
|
"7 0.263464 0.086172 26.186317 8.891703 \n",
|
|
"8 0.251567 0.141850 30.987461 11.676332 \n",
|
|
"9 0.223766 0.106920 45.928247 18.241634 \n",
|
|
"10 0.295775 0.197183 53.352113 26.070423 "
|
|
]
|
|
},
|
|
"execution_count": 73,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Grouper le DataFrame par la colonne 'category' et calculer la moyenne pour chaque groupe\n",
|
|
"summary_stats = dataset_for_segmentation.groupby('category')[numeric_features].describe()\n",
|
|
"\n",
|
|
"# Sélectionner uniquement la colonne 'mean' pour chaque variable numérique\n",
|
|
"mean_stats = summary_stats.loc[:, (slice(None), 'mean')]\n",
|
|
"\n",
|
|
"# Afficher le DataFrame résultant\n",
|
|
"mean_stats"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 75,
|
|
"id": "14da601e-7b1b-469c-bab1-de8fad4047f2",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 800x600 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Plot histogram\n",
|
|
"plt.figure(figsize=(8, 6))\n",
|
|
"plt.hist(y_predict_proba, bins=10, range=(0, 1), color='blue', alpha=0.7)\n",
|
|
"\n",
|
|
"# Réglage des limites des axes x et y\n",
|
|
"plt.xlim(0, 1)\n",
|
|
"plt.ylim(0, None) # Laissez le maximum sur l'axe y pour s'ajuster automatiquement\n",
|
|
"\n",
|
|
"plt.title('Histogramme des probabilités pour la classe 1')\n",
|
|
"plt.xlabel('Probabilité')\n",
|
|
"plt.ylabel('Fréquence')\n",
|
|
"plt.grid(True)\n",
|
|
"plt.show()\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "98119520-17ae-4b15-afb2-3e2ba0ceaeb0",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Random Forest"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "59280d0d-b03e-445c-b9e8-689960275b7d",
|
|
"metadata": {},
|
|
"source": [
|
|
"#### Benchmark "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 28,
|
|
"id": "d585a6b9-6943-45a3-b37b-4fb3c0164a0c",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"pipeline_rf = Pipeline(steps=[\n",
|
|
" ('preprocessor', preproc),\n",
|
|
" ('randomF', RandomForestClassifier(class_weight = weight_dict,\n",
|
|
" n_jobs=-1)) \n",
|
|
"])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 29,
|
|
"id": "6f1aacc1-c251-43bd-8681-919ec5efbd87",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<style>#sk-container-id-3 {\n",
|
|
" /* Definition of color scheme common for light and dark mode */\n",
|
|
" --sklearn-color-text: black;\n",
|
|
" --sklearn-color-line: gray;\n",
|
|
" /* Definition of color scheme for unfitted estimators */\n",
|
|
" --sklearn-color-unfitted-level-0: #fff5e6;\n",
|
|
" --sklearn-color-unfitted-level-1: #f6e4d2;\n",
|
|
" --sklearn-color-unfitted-level-2: #ffe0b3;\n",
|
|
" --sklearn-color-unfitted-level-3: chocolate;\n",
|
|
" /* Definition of color scheme for fitted estimators */\n",
|
|
" --sklearn-color-fitted-level-0: #f0f8ff;\n",
|
|
" --sklearn-color-fitted-level-1: #d4ebff;\n",
|
|
" --sklearn-color-fitted-level-2: #b3dbfd;\n",
|
|
" --sklearn-color-fitted-level-3: cornflowerblue;\n",
|
|
"\n",
|
|
" /* Specific color for light theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-icon: #696969;\n",
|
|
"\n",
|
|
" @media (prefers-color-scheme: dark) {\n",
|
|
" /* Redefinition of color scheme for dark theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-icon: #878787;\n",
|
|
" }\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 pre {\n",
|
|
" padding: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 input.sk-hidden--visually {\n",
|
|
" border: 0;\n",
|
|
" clip: rect(1px 1px 1px 1px);\n",
|
|
" clip: rect(1px, 1px, 1px, 1px);\n",
|
|
" height: 1px;\n",
|
|
" margin: -1px;\n",
|
|
" overflow: hidden;\n",
|
|
" padding: 0;\n",
|
|
" position: absolute;\n",
|
|
" width: 1px;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-dashed-wrapped {\n",
|
|
" border: 1px dashed var(--sklearn-color-line);\n",
|
|
" margin: 0 0.4em 0.5em 0.4em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" padding-bottom: 0.4em;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-container {\n",
|
|
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
|
|
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
|
|
" so we also need the `!important` here to be able to override the\n",
|
|
" default hidden behavior on the sphinx rendered scikit-learn.org.\n",
|
|
" See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
|
|
" display: inline-block !important;\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-text-repr-fallback {\n",
|
|
" display: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-parallel-item,\n",
|
|
"div.sk-serial,\n",
|
|
"div.sk-item {\n",
|
|
" /* draw centered vertical line to link estimators */\n",
|
|
" background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
|
|
" background-size: 2px 100%;\n",
|
|
" background-repeat: no-repeat;\n",
|
|
" background-position: center center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Parallel-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-parallel-item::after {\n",
|
|
" content: \"\";\n",
|
|
" width: 100%;\n",
|
|
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
|
|
" flex-grow: 1;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-parallel {\n",
|
|
" display: flex;\n",
|
|
" align-items: stretch;\n",
|
|
" justify-content: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-parallel-item {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-parallel-item:first-child::after {\n",
|
|
" align-self: flex-end;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-parallel-item:last-child::after {\n",
|
|
" align-self: flex-start;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-parallel-item:only-child::after {\n",
|
|
" width: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Serial-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-serial {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
" align-items: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" padding-right: 1em;\n",
|
|
" padding-left: 1em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"\n",
|
|
"/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
|
|
"clickable and can be expanded/collapsed.\n",
|
|
"- Pipeline and ColumnTransformer use this feature and define the default style\n",
|
|
"- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
|
|
"*/\n",
|
|
"\n",
|
|
"/* Pipeline and ColumnTransformer style (default) */\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-toggleable {\n",
|
|
" /* Default theme specific background. It is overwritten whether we have a\n",
|
|
" specific estimator or a Pipeline/ColumnTransformer */\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable label */\n",
|
|
"#sk-container-id-3 label.sk-toggleable__label {\n",
|
|
" cursor: pointer;\n",
|
|
" display: block;\n",
|
|
" width: 100%;\n",
|
|
" margin-bottom: 0;\n",
|
|
" padding: 0.5em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" text-align: center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 label.sk-toggleable__label-arrow:before {\n",
|
|
" /* Arrow on the left of the label */\n",
|
|
" content: \"▸\";\n",
|
|
" float: left;\n",
|
|
" margin-right: 0.25em;\n",
|
|
" color: var(--sklearn-color-icon);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable content - dropdown */\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-toggleable__content {\n",
|
|
" max-height: 0;\n",
|
|
" max-width: 0;\n",
|
|
" overflow: hidden;\n",
|
|
" text-align: left;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-toggleable__content.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-toggleable__content pre {\n",
|
|
" margin: 0.2em;\n",
|
|
" border-radius: 0.25em;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-toggleable__content.fitted pre {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
|
|
" /* Expand drop-down */\n",
|
|
" max-height: 200px;\n",
|
|
" max-width: 100%;\n",
|
|
" overflow: auto;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
|
|
" content: \"▾\";\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Pipeline/ColumnTransformer-specific style */\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific style */\n",
|
|
"\n",
|
|
"/* Colorize estimator box */\n",
|
|
"#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-label label.sk-toggleable__label,\n",
|
|
"#sk-container-id-3 div.sk-label label {\n",
|
|
" /* The background is the default theme color */\n",
|
|
" color: var(--sklearn-color-text-on-default-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover, darken the color of the background */\n",
|
|
"#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Label box, darken color on hover, fitted */\n",
|
|
"#sk-container-id-3 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator label */\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-label label {\n",
|
|
" font-family: monospace;\n",
|
|
" font-weight: bold;\n",
|
|
" display: inline-block;\n",
|
|
" line-height: 1.2em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-label-container {\n",
|
|
" text-align: center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific */\n",
|
|
"#sk-container-id-3 div.sk-estimator {\n",
|
|
" font-family: monospace;\n",
|
|
" border: 1px dotted var(--sklearn-color-border-box);\n",
|
|
" border-radius: 0.25em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" margin-bottom: 0.5em;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-estimator.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* on hover */\n",
|
|
"#sk-container-id-3 div.sk-estimator:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-estimator.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
|
|
"\n",
|
|
"/* Common style for \"i\" and \"?\" */\n",
|
|
"\n",
|
|
".sk-estimator-doc-link,\n",
|
|
"a:link.sk-estimator-doc-link,\n",
|
|
"a:visited.sk-estimator-doc-link {\n",
|
|
" float: right;\n",
|
|
" font-size: smaller;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1em;\n",
|
|
" height: 1em;\n",
|
|
" width: 1em;\n",
|
|
" text-decoration: none !important;\n",
|
|
" margin-left: 1ex;\n",
|
|
" /* unfitted */\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted,\n",
|
|
"a:link.sk-estimator-doc-link.fitted,\n",
|
|
"a:visited.sk-estimator-doc-link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Span, style for the box shown on hovering the info icon */\n",
|
|
".sk-estimator-doc-link span {\n",
|
|
" display: none;\n",
|
|
" z-index: 9999;\n",
|
|
" position: relative;\n",
|
|
" font-weight: normal;\n",
|
|
" right: .2ex;\n",
|
|
" padding: .5ex;\n",
|
|
" margin: .5ex;\n",
|
|
" width: min-content;\n",
|
|
" min-width: 20ex;\n",
|
|
" max-width: 50ex;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" box-shadow: 2pt 2pt 4pt #999;\n",
|
|
" /* unfitted */\n",
|
|
" background: var(--sklearn-color-unfitted-level-0);\n",
|
|
" border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted span {\n",
|
|
" /* fitted */\n",
|
|
" background: var(--sklearn-color-fitted-level-0);\n",
|
|
" border: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link:hover span {\n",
|
|
" display: block;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
|
|
"\n",
|
|
"#sk-container-id-3 a.estimator_doc_link {\n",
|
|
" float: right;\n",
|
|
" font-size: 1rem;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1rem;\n",
|
|
" height: 1rem;\n",
|
|
" width: 1rem;\n",
|
|
" text-decoration: none;\n",
|
|
" /* unfitted */\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 a.estimator_doc_link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"#sk-container-id-3 a.estimator_doc_link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 a.estimator_doc_link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[('preprocessor',\n",
|
|
" ColumnTransformer(transformers=[('num',\n",
|
|
" Pipeline(steps=[('scaler',\n",
|
|
" StandardScaler())]),\n",
|
|
" ['nb_tickets', 'nb_purchases',\n",
|
|
" 'total_amount',\n",
|
|
" 'nb_suppliers',\n",
|
|
" 'vente_internet_max',\n",
|
|
" 'purchase_date_min',\n",
|
|
" 'purchase_date_max',\n",
|
|
" 'time_between_purchase',\n",
|
|
" 'nb_tickets_internet',\n",
|
|
" 'is_email_true', 'opt_in',\n",
|
|
" 'gender_female',\n",
|
|
" 'gender_male',\n",
|
|
" 'gender_other',\n",
|
|
" 'nb_campaigns',\n",
|
|
" 'nb_campaigns_opened']),\n",
|
|
" ('cat',\n",
|
|
" Pipeline(steps=[('onehot',\n",
|
|
" OneHotEncoder(handle_unknown='ignore',\n",
|
|
" sparse_output=False))]),\n",
|
|
" ['opt_in'])])),\n",
|
|
" ('randomF',\n",
|
|
" RandomForestClassifier(class_weight={0.0: 0.5837086520288036,\n",
|
|
" 1.0: 3.486549107420539},\n",
|
|
" n_jobs=-1))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-15\" type=\"checkbox\" ><label for=\"sk-estimator-id-15\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\"> Pipeline<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.pipeline.Pipeline.html\">?<span>Documentation for Pipeline</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>Pipeline(steps=[('preprocessor',\n",
|
|
" ColumnTransformer(transformers=[('num',\n",
|
|
" Pipeline(steps=[('scaler',\n",
|
|
" StandardScaler())]),\n",
|
|
" ['nb_tickets', 'nb_purchases',\n",
|
|
" 'total_amount',\n",
|
|
" 'nb_suppliers',\n",
|
|
" 'vente_internet_max',\n",
|
|
" 'purchase_date_min',\n",
|
|
" 'purchase_date_max',\n",
|
|
" 'time_between_purchase',\n",
|
|
" 'nb_tickets_internet',\n",
|
|
" 'is_email_true', 'opt_in',\n",
|
|
" 'gender_female',\n",
|
|
" 'gender_male',\n",
|
|
" 'gender_other',\n",
|
|
" 'nb_campaigns',\n",
|
|
" 'nb_campaigns_opened']),\n",
|
|
" ('cat',\n",
|
|
" Pipeline(steps=[('onehot',\n",
|
|
" OneHotEncoder(handle_unknown='ignore',\n",
|
|
" sparse_output=False))]),\n",
|
|
" ['opt_in'])])),\n",
|
|
" ('randomF',\n",
|
|
" RandomForestClassifier(class_weight={0.0: 0.5837086520288036,\n",
|
|
" 1.0: 3.486549107420539},\n",
|
|
" n_jobs=-1))])</pre></div> </div></div><div class=\"sk-serial\"><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-16\" type=\"checkbox\" ><label for=\"sk-estimator-id-16\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\"> preprocessor: ColumnTransformer<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.compose.ColumnTransformer.html\">?<span>Documentation for preprocessor: ColumnTransformer</span></a></label><div class=\"sk-toggleable__content fitted\"><pre>ColumnTransformer(transformers=[('num',\n",
|
|
" Pipeline(steps=[('scaler', StandardScaler())]),\n",
|
|
" ['nb_tickets', 'nb_purchases', 'total_amount',\n",
|
|
" 'nb_suppliers', 'vente_internet_max',\n",
|
|
" 'purchase_date_min', 'purchase_date_max',\n",
|
|
" 'time_between_purchase',\n",
|
|
" 'nb_tickets_internet', 'is_email_true',\n",
|
|
" 'opt_in', 'gender_female', 'gender_male',\n",
|
|
" 'gender_other', 'nb_campaigns',\n",
|
|
" 'nb_campaigns_opened']),\n",
|
|
" ('cat',\n",
|
|
" Pipeline(steps=[('onehot',\n",
|
|
" OneHotEncoder(handle_unknown='ignore',\n",
|
|
" sparse_output=False))]),\n",
|
|
" ['opt_in'])])</pre></div> </div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-17\" type=\"checkbox\" ><label for=\"sk-estimator-id-17\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">num</label><div class=\"sk-toggleable__content fitted\"><pre>['nb_tickets', 'nb_purchases', 'total_amount', 'nb_suppliers', 'vente_internet_max', 'purchase_date_min', 'purchase_date_max', 'time_between_purchase', 'nb_tickets_internet', 'is_email_true', 'opt_in', 'gender_female', 'gender_male', 'gender_other', 'nb_campaigns', 'nb_campaigns_opened']</pre></div> </div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-18\" type=\"checkbox\" ><label for=\"sk-estimator-id-18\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\"> StandardScaler<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.preprocessing.StandardScaler.html\">?<span>Documentation for StandardScaler</span></a></label><div class=\"sk-toggleable__content fitted\"><pre>StandardScaler()</pre></div> </div></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-19\" type=\"checkbox\" ><label for=\"sk-estimator-id-19\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">cat</label><div class=\"sk-toggleable__content fitted\"><pre>['opt_in']</pre></div> </div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-20\" type=\"checkbox\" ><label for=\"sk-estimator-id-20\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\"> OneHotEncoder<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.preprocessing.OneHotEncoder.html\">?<span>Documentation for OneHotEncoder</span></a></label><div class=\"sk-toggleable__content fitted\"><pre>OneHotEncoder(handle_unknown='ignore', sparse_output=False)</pre></div> </div></div></div></div></div></div></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-21\" type=\"checkbox\" ><label for=\"sk-estimator-id-21\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\"> RandomForestClassifier<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.ensemble.RandomForestClassifier.html\">?<span>Documentation for RandomForestClassifier</span></a></label><div class=\"sk-toggleable__content fitted\"><pre>RandomForestClassifier(class_weight={0.0: 0.5837086520288036,\n",
|
|
" 1.0: 3.486549107420539},\n",
|
|
" n_jobs=-1)</pre></div> </div></div></div></div></div></div>"
|
|
],
|
|
"text/plain": [
|
|
"Pipeline(steps=[('preprocessor',\n",
|
|
" ColumnTransformer(transformers=[('num',\n",
|
|
" Pipeline(steps=[('scaler',\n",
|
|
" StandardScaler())]),\n",
|
|
" ['nb_tickets', 'nb_purchases',\n",
|
|
" 'total_amount',\n",
|
|
" 'nb_suppliers',\n",
|
|
" 'vente_internet_max',\n",
|
|
" 'purchase_date_min',\n",
|
|
" 'purchase_date_max',\n",
|
|
" 'time_between_purchase',\n",
|
|
" 'nb_tickets_internet',\n",
|
|
" 'is_email_true', 'opt_in',\n",
|
|
" 'gender_female',\n",
|
|
" 'gender_male',\n",
|
|
" 'gender_other',\n",
|
|
" 'nb_campaigns',\n",
|
|
" 'nb_campaigns_opened']),\n",
|
|
" ('cat',\n",
|
|
" Pipeline(steps=[('onehot',\n",
|
|
" OneHotEncoder(handle_unknown='ignore',\n",
|
|
" sparse_output=False))]),\n",
|
|
" ['opt_in'])])),\n",
|
|
" ('randomF',\n",
|
|
" RandomForestClassifier(class_weight={0.0: 0.5837086520288036,\n",
|
|
" 1.0: 3.486549107420539},\n",
|
|
" n_jobs=-1))])"
|
|
]
|
|
},
|
|
"execution_count": 29,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"pipeline_rf.fit(X_train, y_train)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 30,
|
|
"id": "ad83f5de-3e0d-40d0-bcb0-427530642d22",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Accuracy Score: 0.8915667665667666\n",
|
|
"F1 Score: 0.5773505313539385\n",
|
|
"Recall Score: 0.5198685171658145\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"y_pred = pipeline_rf.predict(X_test)\n",
|
|
"\n",
|
|
"# Calculate the F1 score\n",
|
|
"acc = accuracy_score(y_test, y_pred)\n",
|
|
"print(f\"Accuracy Score: {acc}\")\n",
|
|
"\n",
|
|
"f1 = f1_score(y_test, y_pred)\n",
|
|
"print(f\"F1 Score: {f1}\")\n",
|
|
"\n",
|
|
"recall = recall_score(y_test, y_pred)\n",
|
|
"print(f\"Recall Score: {recall}\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 36,
|
|
"id": "d48d7b80-1a30-47f4-a179-e7522d2a905a",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 2 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
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"data": {
|
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"image/png": 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",
|
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"text/plain": [
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"<Figure size 1400x800 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
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"data": {
|
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"image/png": 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",
|
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"text/plain": [
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"<Figure size 1000x600 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
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"data": {
|
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"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 800x600 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"draw_confusion_matrix(y_test, y_pred)\n",
|
|
"draw_roc_curve(X_test, y_test)\n",
|
|
"draw_features_importance(pipeline_rf, 'randomF', randomF =True)\n",
|
|
"draw_prob_distribution(X_test)"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3 (ipykernel)",
|
|
"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": "3.11.6"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|