diff --git a/Classification Models/Fetal Health Classification/fetal-health-classification.ipynb b/Classification Models/Fetal Health Classification/fetal-health-classification.ipynb index e3bae84c6..0fd360370 100644 --- a/Classification Models/Fetal Health Classification/fetal-health-classification.ipynb +++ b/Classification Models/Fetal Health Classification/fetal-health-classification.ipynb @@ -1 +1 @@ -{"cells":[{"cell_type":"markdown","metadata":{},"source":["## IMPORTING LIBRARIES"]},{"cell_type":"code","execution_count":1,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:24.052212Z","iopub.status.busy":"2024-06-24T13:29:24.051708Z","iopub.status.idle":"2024-06-24T13:29:28.036844Z","shell.execute_reply":"2024-06-24T13:29:28.035352Z","shell.execute_reply.started":"2024-06-24T13:29:24.052174Z"},"trusted":true},"outputs":[],"source":["# importing libraries\n","import numpy as np\n","import pandas as pd\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","from sklearn.model_selection import train_test_split\n","from sklearn.pipeline import make_pipeline\n","from sklearn.linear_model import LogisticRegression\n","from sklearn.tree import DecisionTreeClassifier\n","from sklearn.ensemble import GradientBoostingClassifier, RandomForestClassifier\n","from sklearn.model_selection import GridSearchCV, RandomizedSearchCV, cross_val_score\n","from sklearn.metrics import accuracy_score\n","np.random.seed(0)"]},{"cell_type":"markdown","metadata":{},"source":["## LOADING DATA"]},{"cell_type":"code","execution_count":2,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:28.039842Z","iopub.status.busy":"2024-06-24T13:29:28.039259Z","iopub.status.idle":"2024-06-24T13:29:28.199726Z","shell.execute_reply":"2024-06-24T13:29:28.197656Z","shell.execute_reply.started":"2024-06-24T13:29:28.039808Z"},"trusted":true},"outputs":[{"data":{"text/html":["
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baseline valueaccelerationsfetal_movementuterine_contractionslight_decelerationssevere_decelerationsprolongued_decelerationsabnormal_short_term_variabilitymean_value_of_short_term_variabilitypercentage_of_time_with_abnormal_long_term_variability...histogram_minhistogram_maxhistogram_number_of_peakshistogram_number_of_zeroeshistogram_modehistogram_meanhistogram_medianhistogram_variancehistogram_tendencyfetal_health
0120.00.0000.00.0000.0000.00.073.00.543.0...62.0126.02.00.0120.0137.0121.073.01.02.0
1132.00.0060.00.0060.0030.00.017.02.10.0...68.0198.06.01.0141.0136.0140.012.00.01.0
2133.00.0030.00.0080.0030.00.016.02.10.0...68.0198.05.01.0141.0135.0138.013.00.01.0
3134.00.0030.00.0080.0030.00.016.02.40.0...53.0170.011.00.0137.0134.0137.013.01.01.0
4132.00.0070.00.0080.0000.00.016.02.40.0...53.0170.09.00.0137.0136.0138.011.01.01.0
\n","

5 rows × 22 columns

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"],"text/plain":[" baseline value accelerations fetal_movement uterine_contractions \\\n","0 120.0 0.000 0.0 0.000 \n","1 132.0 0.006 0.0 0.006 \n","2 133.0 0.003 0.0 0.008 \n","3 134.0 0.003 0.0 0.008 \n","4 132.0 0.007 0.0 0.008 \n","\n"," light_decelerations severe_decelerations prolongued_decelerations \\\n","0 0.000 0.0 0.0 \n","1 0.003 0.0 0.0 \n","2 0.003 0.0 0.0 \n","3 0.003 0.0 0.0 \n","4 0.000 0.0 0.0 \n","\n"," abnormal_short_term_variability mean_value_of_short_term_variability \\\n","0 73.0 0.5 \n","1 17.0 2.1 \n","2 16.0 2.1 \n","3 16.0 2.4 \n","4 16.0 2.4 \n","\n"," percentage_of_time_with_abnormal_long_term_variability ... histogram_min \\\n","0 43.0 ... 62.0 \n","1 0.0 ... 68.0 \n","2 0.0 ... 68.0 \n","3 0.0 ... 53.0 \n","4 0.0 ... 53.0 \n","\n"," histogram_max histogram_number_of_peaks histogram_number_of_zeroes \\\n","0 126.0 2.0 0.0 \n","1 198.0 6.0 1.0 \n","2 198.0 5.0 1.0 \n","3 170.0 11.0 0.0 \n","4 170.0 9.0 0.0 \n","\n"," histogram_mode histogram_mean histogram_median histogram_variance \\\n","0 120.0 137.0 121.0 73.0 \n","1 141.0 136.0 140.0 12.0 \n","2 141.0 135.0 138.0 13.0 \n","3 137.0 134.0 137.0 13.0 \n","4 137.0 136.0 138.0 11.0 \n","\n"," histogram_tendency fetal_health \n","0 1.0 2.0 \n","1 0.0 1.0 \n","2 0.0 1.0 \n","3 1.0 1.0 \n","4 1.0 1.0 \n","\n","[5 rows x 22 columns]"]},"execution_count":2,"metadata":{},"output_type":"execute_result"}],"source":["data = pd.read_csv(\"fetal_health.csv\")\n","data.head(5)"]},{"cell_type":"code","execution_count":3,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:28.212145Z","iopub.status.busy":"2024-06-24T13:29:28.209274Z","iopub.status.idle":"2024-06-24T13:29:28.256533Z","shell.execute_reply":"2024-06-24T13:29:28.255234Z","shell.execute_reply.started":"2024-06-24T13:29:28.212075Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","RangeIndex: 2126 entries, 0 to 2125\n","Data columns (total 22 columns):\n"," # Column Non-Null Count Dtype \n","--- ------ -------------- ----- \n"," 0 baseline value 2126 non-null float64\n"," 1 accelerations 2126 non-null float64\n"," 2 fetal_movement 2126 non-null float64\n"," 3 uterine_contractions 2126 non-null float64\n"," 4 light_decelerations 2126 non-null float64\n"," 5 severe_decelerations 2126 non-null float64\n"," 6 prolongued_decelerations 2126 non-null float64\n"," 7 abnormal_short_term_variability 2126 non-null float64\n"," 8 mean_value_of_short_term_variability 2126 non-null float64\n"," 9 percentage_of_time_with_abnormal_long_term_variability 2126 non-null float64\n"," 10 mean_value_of_long_term_variability 2126 non-null float64\n"," 11 histogram_width 2126 non-null float64\n"," 12 histogram_min 2126 non-null float64\n"," 13 histogram_max 2126 non-null float64\n"," 14 histogram_number_of_peaks 2126 non-null float64\n"," 15 histogram_number_of_zeroes 2126 non-null float64\n"," 16 histogram_mode 2126 non-null float64\n"," 17 histogram_mean 2126 non-null float64\n"," 18 histogram_median 2126 non-null float64\n"," 19 histogram_variance 2126 non-null float64\n"," 20 histogram_tendency 2126 non-null float64\n"," 21 fetal_health 2126 non-null float64\n","dtypes: float64(22)\n","memory usage: 365.5 KB\n"]}],"source":["data.info()"]},{"cell_type":"code","execution_count":4,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:28.260468Z","iopub.status.busy":"2024-06-24T13:29:28.259885Z","iopub.status.idle":"2024-06-24T13:29:28.272443Z","shell.execute_reply":"2024-06-24T13:29:28.271068Z","shell.execute_reply.started":"2024-06-24T13:29:28.260430Z"},"trusted":true},"outputs":[{"data":{"text/plain":["baseline value 0\n","accelerations 0\n","fetal_movement 0\n","uterine_contractions 0\n","light_decelerations 0\n","severe_decelerations 0\n","prolongued_decelerations 0\n","abnormal_short_term_variability 0\n","mean_value_of_short_term_variability 0\n","percentage_of_time_with_abnormal_long_term_variability 0\n","mean_value_of_long_term_variability 0\n","histogram_width 0\n","histogram_min 0\n","histogram_max 0\n","histogram_number_of_peaks 0\n","histogram_number_of_zeroes 0\n","histogram_mode 0\n","histogram_mean 0\n","histogram_median 0\n","histogram_variance 0\n","histogram_tendency 0\n","fetal_health 0\n","dtype: int64"]},"execution_count":4,"metadata":{},"output_type":"execute_result"}],"source":["data.isnull().sum()"]},{"cell_type":"markdown","metadata":{},"source":["**No missing values in the dataset**"]},{"cell_type":"code","execution_count":5,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:28.275036Z","iopub.status.busy":"2024-06-24T13:29:28.274220Z","iopub.status.idle":"2024-06-24T13:29:28.370079Z","shell.execute_reply":"2024-06-24T13:29:28.368464Z","shell.execute_reply.started":"2024-06-24T13:29:28.274975Z"},"trusted":true},"outputs":[{"data":{"text/html":["
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countmeanstdmin25%50%75%max
baseline value2126.0133.3038579.840844106.0126.000133.000140.000160.000
accelerations2126.00.0031780.0038660.00.0000.0020.0060.019
fetal_movement2126.00.0094810.0466660.00.0000.0000.0030.481
uterine_contractions2126.00.0043660.0029460.00.0020.0040.0070.015
light_decelerations2126.00.0018890.0029600.00.0000.0000.0030.015
severe_decelerations2126.00.0000030.0000570.00.0000.0000.0000.001
prolongued_decelerations2126.00.0001590.0005900.00.0000.0000.0000.005
abnormal_short_term_variability2126.046.99012217.19281412.032.00049.00061.00087.000
mean_value_of_short_term_variability2126.01.3327850.8832410.20.7001.2001.7007.000
percentage_of_time_with_abnormal_long_term_variability2126.09.84666018.3968800.00.0000.00011.00091.000
mean_value_of_long_term_variability2126.08.1876295.6282470.04.6007.40010.80050.700
histogram_width2126.070.44590838.9556933.037.00067.500100.000180.000
histogram_min2126.093.57949229.56021250.067.00093.000120.000159.000
histogram_max2126.0164.02540017.944183122.0152.000162.000174.000238.000
histogram_number_of_peaks2126.04.0682032.9493860.02.0003.0006.00018.000
histogram_number_of_zeroes2126.00.3236120.7060590.00.0000.0000.00010.000
histogram_mode2126.0137.45202316.38128960.0129.000139.000148.000187.000
histogram_mean2126.0134.61053615.59359673.0125.000136.000145.000182.000
histogram_median2126.0138.09031014.46658977.0129.000139.000148.000186.000
histogram_variance2126.018.80809028.9776360.02.0007.00024.000269.000
histogram_tendency2126.00.3203200.610829-1.00.0000.0001.0001.000
fetal_health2126.01.3043270.6143771.01.0001.0001.0003.000
\n","
"],"text/plain":[" count mean \\\n","baseline value 2126.0 133.303857 \n","accelerations 2126.0 0.003178 \n","fetal_movement 2126.0 0.009481 \n","uterine_contractions 2126.0 0.004366 \n","light_decelerations 2126.0 0.001889 \n","severe_decelerations 2126.0 0.000003 \n","prolongued_decelerations 2126.0 0.000159 \n","abnormal_short_term_variability 2126.0 46.990122 \n","mean_value_of_short_term_variability 2126.0 1.332785 \n","percentage_of_time_with_abnormal_long_term_vari... 2126.0 9.846660 \n","mean_value_of_long_term_variability 2126.0 8.187629 \n","histogram_width 2126.0 70.445908 \n","histogram_min 2126.0 93.579492 \n","histogram_max 2126.0 164.025400 \n","histogram_number_of_peaks 2126.0 4.068203 \n","histogram_number_of_zeroes 2126.0 0.323612 \n","histogram_mode 2126.0 137.452023 \n","histogram_mean 2126.0 134.610536 \n","histogram_median 2126.0 138.090310 \n","histogram_variance 2126.0 18.808090 \n","histogram_tendency 2126.0 0.320320 \n","fetal_health 2126.0 1.304327 \n","\n"," std min 25% \\\n","baseline value 9.840844 106.0 126.000 \n","accelerations 0.003866 0.0 0.000 \n","fetal_movement 0.046666 0.0 0.000 \n","uterine_contractions 0.002946 0.0 0.002 \n","light_decelerations 0.002960 0.0 0.000 \n","severe_decelerations 0.000057 0.0 0.000 \n","prolongued_decelerations 0.000590 0.0 0.000 \n","abnormal_short_term_variability 17.192814 12.0 32.000 \n","mean_value_of_short_term_variability 0.883241 0.2 0.700 \n","percentage_of_time_with_abnormal_long_term_vari... 18.396880 0.0 0.000 \n","mean_value_of_long_term_variability 5.628247 0.0 4.600 \n","histogram_width 38.955693 3.0 37.000 \n","histogram_min 29.560212 50.0 67.000 \n","histogram_max 17.944183 122.0 152.000 \n","histogram_number_of_peaks 2.949386 0.0 2.000 \n","histogram_number_of_zeroes 0.706059 0.0 0.000 \n","histogram_mode 16.381289 60.0 129.000 \n","histogram_mean 15.593596 73.0 125.000 \n","histogram_median 14.466589 77.0 129.000 \n","histogram_variance 28.977636 0.0 2.000 \n","histogram_tendency 0.610829 -1.0 0.000 \n","fetal_health 0.614377 1.0 1.000 \n","\n"," 50% 75% max \n","baseline value 133.000 140.000 160.000 \n","accelerations 0.002 0.006 0.019 \n","fetal_movement 0.000 0.003 0.481 \n","uterine_contractions 0.004 0.007 0.015 \n","light_decelerations 0.000 0.003 0.015 \n","severe_decelerations 0.000 0.000 0.001 \n","prolongued_decelerations 0.000 0.000 0.005 \n","abnormal_short_term_variability 49.000 61.000 87.000 \n","mean_value_of_short_term_variability 1.200 1.700 7.000 \n","percentage_of_time_with_abnormal_long_term_vari... 0.000 11.000 91.000 \n","mean_value_of_long_term_variability 7.400 10.800 50.700 \n","histogram_width 67.500 100.000 180.000 \n","histogram_min 93.000 120.000 159.000 \n","histogram_max 162.000 174.000 238.000 \n","histogram_number_of_peaks 3.000 6.000 18.000 \n","histogram_number_of_zeroes 0.000 0.000 10.000 \n","histogram_mode 139.000 148.000 187.000 \n","histogram_mean 136.000 145.000 182.000 \n","histogram_median 139.000 148.000 186.000 \n","histogram_variance 7.000 24.000 269.000 \n","histogram_tendency 0.000 1.000 1.000 \n","fetal_health 1.000 1.000 3.000 "]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["data.describe().T"]},{"cell_type":"code","execution_count":6,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:28.372449Z","iopub.status.busy":"2024-06-24T13:29:28.371963Z","iopub.status.idle":"2024-06-24T13:29:34.339043Z","shell.execute_reply":"2024-06-24T13:29:34.337669Z","shell.execute_reply.started":"2024-06-24T13:29:28.372409Z"},"trusted":true},"outputs":[{"data":{"image/png":"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"]},"metadata":{},"output_type":"display_data"}],"source":["# Evaluating distributions of the features \n","hist_plot = data.hist(figsize = (20,20))"]},{"cell_type":"markdown","metadata":{},"source":["* A lot of the attributes are skewed."]},{"cell_type":"markdown","metadata":{},"source":["## Evaluating Target Vector (fetal_health)"]},{"cell_type":"code","execution_count":7,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:34.341064Z","iopub.status.busy":"2024-06-24T13:29:34.340612Z","iopub.status.idle":"2024-06-24T13:29:34.632666Z","shell.execute_reply":"2024-06-24T13:29:34.631543Z","shell.execute_reply.started":"2024-06-24T13:29:34.341027Z"},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["#Evaluating the target vector to find out data imbalance\n","\n","plot1 = sns.countplot(data = data, x=\"fetal_health\")\n","plot1.bar_label(container=plot1.containers[0]);"]},{"cell_type":"code","execution_count":8,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:34.634344Z","iopub.status.busy":"2024-06-24T13:29:34.633945Z","iopub.status.idle":"2024-06-24T13:29:37.153604Z","shell.execute_reply":"2024-06-24T13:29:37.152098Z","shell.execute_reply.started":"2024-06-24T13:29:34.634314Z"},"trusted":true},"outputs":[{"data":{"image/png":"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"]},"metadata":{},"output_type":"display_data"}],"source":["#Correlation matrix to provide better insight to the imbalance\n","corrmat= data.corr()\n","plt.figure(figsize=(15,15)) \n","\n","cols = ([\"#BC6C25\", \"#DDA15E\", \"#FEFAE0\", \"#E0E1DD\", \"#778DA9\", \"#415A77\"])\n","\n","sns.heatmap(corrmat, annot=True, cmap=cols);"]},{"cell_type":"code","execution_count":9,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:37.156217Z","iopub.status.busy":"2024-06-24T13:29:37.155646Z","iopub.status.idle":"2024-06-24T13:29:37.165764Z","shell.execute_reply":"2024-06-24T13:29:37.163824Z","shell.execute_reply.started":"2024-06-24T13:29:37.156167Z"},"trusted":true},"outputs":[],"source":["# Spliting df into feature matrix (X) and target vector (y).\n","X=data.drop([\"fetal_health\"], axis=1)\n","y=data[\"fetal_health\"]"]},{"cell_type":"code","execution_count":10,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:37.172132Z","iopub.status.busy":"2024-06-24T13:29:37.171119Z","iopub.status.idle":"2024-06-24T13:29:37.188202Z","shell.execute_reply":"2024-06-24T13:29:37.186517Z","shell.execute_reply.started":"2024-06-24T13:29:37.172079Z"},"trusted":true},"outputs":[],"source":["# Split the data into training and test sets\n","X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)"]},{"cell_type":"markdown","metadata":{},"source":["### Calculate the Baseline Accuracy Score"]},{"cell_type":"code","execution_count":11,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:37.190747Z","iopub.status.busy":"2024-06-24T13:29:37.190064Z","iopub.status.idle":"2024-06-24T13:29:37.205572Z","shell.execute_reply":"2024-06-24T13:29:37.203893Z","shell.execute_reply.started":"2024-06-24T13:29:37.190590Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Baseline Accuracy: 0.78\n"]}],"source":["acc_baseline = y_train.value_counts(normalize=True).max()\n","print(\"Baseline Accuracy:\", round(acc_baseline, 2))"]},{"cell_type":"markdown","metadata":{},"source":["## Logistic Regression"]},{"cell_type":"code","execution_count":12,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:37.207868Z","iopub.status.busy":"2024-06-24T13:29:37.207479Z","iopub.status.idle":"2024-06-24T13:29:42.061634Z","shell.execute_reply":"2024-06-24T13:29:42.059569Z","shell.execute_reply.started":"2024-06-24T13:29:37.207836Z"},"trusted":true},"outputs":[{"data":{"text/html":["
Pipeline(steps=[('logisticregression', LogisticRegression(max_iter=10000))])
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"],"text/plain":["Pipeline(steps=[('logisticregression', LogisticRegression(max_iter=10000))])"]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["model_lr = make_pipeline(\n"," LogisticRegression(max_iter=10000)\n",")\n","\n","model_lr.fit(X_train, y_train)"]},{"cell_type":"markdown","metadata":{},"source":["**Evaluating the model**"]},{"cell_type":"code","execution_count":13,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:42.064252Z","iopub.status.busy":"2024-06-24T13:29:42.063788Z","iopub.status.idle":"2024-06-24T13:29:42.083150Z","shell.execute_reply":"2024-06-24T13:29:42.081364Z","shell.execute_reply.started":"2024-06-24T13:29:42.064217Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Training Accuracy: 0.88\n","Test Accuracy: 0.89\n"]}],"source":["acc_train = accuracy_score(y_train, model_lr.predict(X_train))\n","acc_test = accuracy_score(y_test, model_lr.predict(X_test))\n","\n","print(\"Training Accuracy:\", round(acc_train, 2))\n","print(\"Test Accuracy:\", round(acc_test, 2))"]},{"cell_type":"markdown","metadata":{},"source":["## Communicating Results"]},{"cell_type":"code","execution_count":14,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:42.085880Z","iopub.status.busy":"2024-06-24T13:29:42.085198Z","iopub.status.idle":"2024-06-24T13:29:42.099604Z","shell.execute_reply":"2024-06-24T13:29:42.097944Z","shell.execute_reply.started":"2024-06-24T13:29:42.085826Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["[[9.89173531e-01 1.07651300e-02 6.13394472e-05]\n"," [2.87123575e-01 6.95056735e-01 1.78196908e-02]\n"," [9.98615025e-01 1.36293043e-03 2.20447280e-05]\n"," [9.81761287e-01 1.82379795e-02 7.33070349e-07]\n"," [8.58996837e-01 1.40716679e-01 2.86483424e-04]]\n"]}],"source":["y_train_pred_proba = model_lr.predict_proba(X_train)\n","print(y_train_pred_proba[:5])"]},{"cell_type":"markdown","metadata":{},"source":["### Features and Importances"]},{"cell_type":"code","execution_count":15,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:42.102162Z","iopub.status.busy":"2024-06-24T13:29:42.101640Z","iopub.status.idle":"2024-06-24T13:29:42.113150Z","shell.execute_reply":"2024-06-24T13:29:42.111491Z","shell.execute_reply.started":"2024-06-24T13:29:42.102123Z"},"trusted":true},"outputs":[],"source":["# Get the logistic regression model from the pipeline\n","logistic_regression = model_lr.named_steps['logisticregression']\n","\n","# Retrieve features and Importances\n","features = list(X_train.columns)\n","importances = logistic_regression.coef_[0]"]},{"cell_type":"code","execution_count":16,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:42.115648Z","iopub.status.busy":"2024-06-24T13:29:42.115220Z","iopub.status.idle":"2024-06-24T13:29:42.140138Z","shell.execute_reply":"2024-06-24T13:29:42.138827Z","shell.execute_reply.started":"2024-06-24T13:29:42.115614Z"},"trusted":true},"outputs":[{"data":{"text/plain":["fetal_movement 0.139693\n","histogram_tendency 0.710431\n","baseline value 0.825087\n","mean_value_of_long_term_variability 0.883436\n","abnormal_short_term_variability 0.926180\n","dtype: float64"]},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":["feat_imp = pd.Series(np.exp(importances), index=features).sort_values()\n","feat_imp.head()"]},{"cell_type":"code","execution_count":17,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:42.143168Z","iopub.status.busy":"2024-06-24T13:29:42.141853Z","iopub.status.idle":"2024-06-24T13:29:42.470875Z","shell.execute_reply":"2024-06-24T13:29:42.469375Z","shell.execute_reply.started":"2024-06-24T13:29:42.143114Z"},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["feat_imp.tail(5).plot(kind=\"barh\")\n","plt.xlabel('Odds Ratio')\n","plt.ylabel('Features');"]},{"cell_type":"markdown","metadata":{},"source":["* This plot indicates the features with the odds most likely to cause fetal death."]},{"cell_type":"code","execution_count":18,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:42.473186Z","iopub.status.busy":"2024-06-24T13:29:42.472705Z","iopub.status.idle":"2024-06-24T13:29:42.715924Z","shell.execute_reply":"2024-06-24T13:29:42.714705Z","shell.execute_reply.started":"2024-06-24T13:29:42.473148Z"},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["feat_imp.head(5).plot(kind=\"barh\")\n","plt.xlabel('Odds Ratio')\n","plt.ylabel('Features');"]},{"cell_type":"markdown","metadata":{},"source":["* This plot indicates the features with the odds least likely to cause fetal death."]},{"cell_type":"code","execution_count":19,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:42.717896Z","iopub.status.busy":"2024-06-24T13:29:42.717514Z","iopub.status.idle":"2024-06-24T13:29:43.168566Z","shell.execute_reply":"2024-06-24T13:29:43.166997Z","shell.execute_reply.started":"2024-06-24T13:29:42.717863Z"},"trusted":true},"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA7IAAAGwCAYAAACU11nWAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuNSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/xnp5ZAAAACXBIWXMAAA9hAAAPYQGoP6dpAAD940lEQVR4nOzde1zP9//4/9urqFfnk3QgCkmolDKUCVm26S1GZoZsIZbkzNupGBmybN5zyPstjGHIYTmVt7yJN4bMIRnTp7ZFezulWOxVvz/8PL9eKmImcb9eLq/LZc/n4/F8PO+P5wvt3uPwVJWWlpYihBBCCCGEEEJUEzpVHYAQQgghhBBCCPE0JJEVQgghhBBCCFGtSCIrhBBCCCGEEKJakURWCCGEEEIIIUS1IomsEEIIIYQQQohqRRJZIYQQQgghhBDViiSyQgghhBBCCCGqlRpVHYAQQgjxVygpKeHXX3/FxMQElUpV1eEIIYQQohJKS0u5desW9vb26OhUPO4qiawQQohX0q+//oqDg0NVhyGEEEKIZ5Cbm0vdunUrLJdEVgghxCvJxMQEuP+D0NTUtIqjEUIIIURlFBQU4ODgoPwcr4gkskIIIV5JD6YTm5qaSiIrhBBCVDNPWhYkmz0JIYQQQgghhKhWJJEV4iUUHR1NixYtqjoMLbdv3+a9997D1NQUlUrFjRs3nrktf39/oqKinlts4tmEhoYSHBxc6frZ2dmoVCoyMjIqrJOWlqb15yMxMRFzc3Ol/GX8sy2EEEKI6kemFgshKmXFihXs37+fgwcPUqtWLczMzKo6pHL5+/vTokUL4uPjK1U/LS2NDh06cP36da2E63WwYMECSktLn2ubbdu2JS8vr8I/H2PGjGH48OHKcWhoKDdu3GDz5s3PNY6HNZ+2Cx19w7+sfSGEEOJ1kz373aoOQRJZIUTlXLx4EVdXV5o3b17VoZTr7t276OnpVdn9S0tL0Wg01Kjx8v+zqtFoUKlUf8kvI/T09LC1ta2w3NjYGGNj4+d+XyGEEEK8XmRqsXip+fv7M3z4cKKiorCwsMDGxoaEhASKiooYOHAgJiYmNGrUiB07dijXnD59mrfffhtjY2NsbGzo168f//vf/5TynTt34ufnh7m5OVZWVnTt2pWLFy8q5Q+mT27atIkOHTpgaGiIh4cHhw4demK8BQUFGBgYaMUDkJSUhImJCbdv3wZg/PjxNG7cGENDQxo0aMCUKVO4d+/eY5/Do1Nxg4ODCQ0NVY6Li4sZM2YMderUwcjIiDfeeIO0tLQnxvzAxo0badasGfr6+jg6OhIXF6d1/7i4OP7zn/+gUqnw9/d/YntfffUVzs7OqNVqbGxs6Nmzp1Z5SUkJ48aNw9LSEltbW6Kjo7XKc3Jy6NatG8bGxpiamhISEsKVK1eU8gdTVJctW4aTkxNqtZrQ0FD27dvHggULUKlUqFQqsrOzK4wxOzubDh06AGBhYYFKpVKeaUlJCbGxsTg5OWFgYICHhwcbNmxQrn0whXbHjh20bNkSfX19Dhw48Ex/ZitSUlJC3bp1WbRokdb5EydOoKOjw//93/8BMH/+fNzc3DAyMsLBwYFhw4ZRWFio1H8wvXfr1q00bdoUfX19cnJyykwtftLfjQfOnTtH27ZtUavVNG/enH379pV5LhVNPX94anF0dDQrVqxgy5YtyveVlpZGx44diYiI0Lrut99+Q09Pjz179jzxuQkhhBDi1SeJrHjprVixglq1anHkyBGGDx/O0KFD6dWrF23btuX48eO89dZb9OvXj9u3b3Pjxg06duyIp6cn33//PTt37uTKlSuEhIQo7RUVFTFq1Ci+//579uzZg46ODt27d6ekpETrvpMmTWLMmDFkZGTQuHFj+vTpwx9//PHYWE1NTenatStr1qzROr969WqCg4MxNLw/vdHExITExETOnj3LggULSEhI4PPPP/9TzykiIoJDhw6xdu1afvjhB3r16kWXLl348ccfn3jtsWPHCAkJ4f333+fUqVNER0czZcoUEhMTAdi0aRODBg2iTZs25OXlsWnTpse29/333xMZGcn06dPJyspi586dvPnmm1p1VqxYgZGREYcPH2bOnDlMnz6dlJQU4H4C161bN65du8a+fftISUnhp59+onfv3lptXLhwgY0bN7Jp0yYyMjJYsGABbdq0YdCgQeTl5ZGXl/fY94g6ODiwceNGALKyssjLy2PBggUAxMbGsnLlShYvXsyZM2cYOXIkH374oVbSBjBhwgRmz55NZmYm7u7uSt8q+2f2cXR0dOjTp0+5f558fX2pX7++Uu+LL77gzJkzrFixgn//+9+MGzdO65rbt2/z2WefsWzZMs6cOUPt2rXL3K+yfzfGjh3L6NGjOXHiBG3atCEoKIirV68+ti/lGTNmDCEhIXTp0kX5vtq2bUtYWBhr1qyhuLhYqfv1119Tp04dOnbsWGF7xcXFFBQUaH2EEEII8Wp6+efAideeh4cHkydPBmDixInMnj2bWrVqMWjQIACmTp3KokWL+OGHH0hNTcXT05NZs2Yp1//rX//CwcGB8+fP07hxY9577z2t9v/1r39hbW3N2bNntabNjhkzhnffvT//PyYmhmbNmnHhwgWaNGny2Hj79u2rJCmGhoYUFBSQnJxMUlKSUudBfwAcHR0ZM2YMa9euLZN8VFZOTg7Lly8nJycHe3t7Jf6dO3eyfPlyredRnvnz59OpUyemTJkCQOPGjTl79ixz584lNDQUS0tLDA0Nnzht9OF4jIyM6Nq1KyYmJtSvXx9PT0+tOu7u7kybNg0AZ2dnFi5cyJ49e+jcuTN79uzh1KlTXLp0SUlEV65cSbNmzTh69Cg+Pj7A/enEK1euxNraWmlXT08PQ0PDSsWpq6uLpaUlALVr11bWyBYXFzNr1ixSU1Np06YNAA0aNODAgQMsWbKE9u3bK21Mnz6dzp07a7X7NH9mW7du/dgY+/btS1xcHDk5OdSrV4+SkhLWrl2r9Wfo4dF6R0dHPv30U8LDw/nqq6+U8/fu3eOrr77Cw8OjwntV9u9GRESEUnfRokXs3LmTf/7zn0/959fY2BgDAwOKi4u1vq8ePXoQERHBli1blF9CJSYmEhoa+tit+GNjY4mJiXmqGIQQQghRPcmIrHjpPRjlgvuJh5WVFW5ubso5GxsbAPLz8zl58iR79+5V1uEZGxsrieeDKZI//vgjffr0oUGDBpiamuLo6AjcT74quq+dnZ1yjyd55513qFmzJlu3bgXuT9k1NTUlICBAqbNu3Tp8fX2xtbXF2NiYyZMnl7n/0zh16hQajYbGjRtr9X3fvn3lTg19VGZmJr6+vlrnfH19+fHHH9FoNE8dT+fOnalfvz4NGjSgX79+rF69uszo48PPF+4/4wfPNzMzEwcHB63R1KZNm2Jubk5mZqZyrn79+lpJ7PNy4cIFbt++TefOnbWe58qVK8s8T29v7zLXP82f2Sdp0aIFrq6uyqjsvn37yM/Pp1evXkqd1NRUOnXqRJ06dTAxMaFfv35cvXpV65nr6emVeeaPquzfjQfJPUCNGjXw9vbW+l7+LLVaTb9+/fjXv/4FwPHjxzl9+rTWVPryTJw4kZs3byqf3Nzc5xaTEEIIIV4uMiIrXno1a9bUOlapVFrnHozQlJSUUFhYSFBQEJ999lmZdh4ko0FBQdSvX5+EhATs7e0pKSmhefPm3L17t8L7PnyPJ9HT06Nnz56sWbOG999/nzVr1tC7d29lE6BDhw7Rt29fYmJiCAwMxMzMjLVr12qtSX2Ujo5Omd1lH15TW1hYiK6uLseOHUNXV1erXlVsrGNiYsLx48dJS0tj9+7dTJ06lejoaI4ePaqMepb3vVbm+T7MyMjoeYWs5cH60uTkZOrUqaNVpq+v/8QYnubPbGX07duXNWvWMGHCBNasWUOXLl2wsrIC7q/z7dq1K0OHDmXmzJlYWlpy4MABPv74Y+7evatMZzcwMHjii8Ur+3fjRQgLC6NFixb8/PPPLF++nI4dOypTqSuir69f5vsRQgghxKtJElnxSvHy8mLjxo04OjqWu3vs1atXycrKIiEhgXbt2gFw4MCB5x5H37596dy5M2fOnOHf//43n376qVJ28OBB6tevz6RJk5RzDzbtqYi1tTV5eXnKsUaj4fTp08pGRZ6enmg0GvLz85V+PQ1XV1fS09O1zqWnp9O4ceMyiXFl1ahRg4CAAAICApg2bRrm5ub8+9//pkePHpWKJzc3l9zcXGVU9uzZs9y4cYOmTZs+9lo9Pb2nGkV+sNPxw9c8vCHSw9OIq8oHH3zA5MmTOXbsGBs2bGDx4sVK2bFjxygpKSEuLg4dnfuTbNavX//U93iavxv//e9/lTXPf/zxB8eOHSuzOVNlVfR9ubm54e3tTUJCAmvWrGHhwoXP1L4QQgghXk2SyIpXyieffEJCQgJ9+vRRdsS9cOECa9euZdmyZVhYWGBlZcXSpUuxs7MjJyeHCRMmPPc43nzzTWxtbenbty9OTk688cYbSpmzszM5OTmsXbsWHx+fMutny9OxY0dGjRpFcnIyDRs2ZP78+Vq7wjZu3Ji+ffvSv39/4uLi8PT05LfffmPPnj24u7sra30rMnr0aHx8fJgxYwa9e/fm0KFDLFy4UGuN5dP47rvv+Omnn3jzzTexsLBg+/btlJSU4OLiUqnrAwICcHNzo2/fvsTHx/PHH38wbNgw2rdvX+5U3oc5Ojpy+PBhsrOzMTY2xtLSUknwylO/fn1UKhXfffcd77zzDgYGBpiYmDBmzBhGjhxJSUkJfn5+3Lx5k/T0dExNTRkwYMBTPY8/y9HRkbZt2/Lxxx+j0Wj429/+ppQ1atSIe/fu8eWXXxIUFER6erpWoltZT/N34x//+AfOzs64urry+eefc/36dT766KNn7tuuXbvIysrCysoKMzMzZfQ6LCyMiIgIjIyM6N69+zO1D3A6JhBTU9Nnvl4IIYQQLx9ZIyteKfb29qSnp6PRaHjrrbdwc3MjKioKc3NzdHR00NHRYe3atRw7dozmzZszcuRI5s6d+9zjUKlU9OnTh5MnT9K3b1+tsr/97W+MHDmSiIgIWrRowcGDB5VNliry0UcfMWDAAPr370/79u1p0KCBMhr7wPLly+nfvz+jR4/GxcWF4OBgjh49Sr169Z4Yr5eXF+vXr2ft2rU0b96cqVOnMn369CeuSayIubk5mzZtomPHjri6urJ48WK++eYbmjVrVqnrVSoVW7ZswcLCgjfffJOAgAAaNGjAunXrnnjtmDFj0NXVpWnTplhbWz9x7XGdOnWIiYlhwoQJ2NjYKCOLM2bMYMqUKcTGxuLq6kqXLl1ITk7GycmpUn143vr27cvJkyfp3r07BgYGynkPDw/mz5/PZ599RvPmzVm9ejWxsbFP3f7T/N2YPXs2s2fPxsPDgwMHDrB161Zq1ar1TP0aNGgQLi4ueHt7Y21trTUzoE+fPtSoUYM+ffqgVqufqX0hhBBCvJpUpY8uvBNCCCFeAtnZ2TRs2JCjR4/i5eX11NcXFBRgZmbGzZs3ZURWCCGEqCYq+/NbphYLIYR4qdy7d4+rV68yefJkWrdu/UxJrBBCCCFebTK1WIin9Pbbb2u9kuXhz5Pe11pVnnfM+/fvr7C9qtgl+XHCw8MrjDM8PLyqw3vp46sK6enp2NnZcfTo0Wda7yuEEEKIV59MLRbiKf3yyy/cuXOn3DJLS0ssLS1fcERP9rxjvnPnDr/88kuF5Y0aNXqq9v5K+fn5FBQUlFtmampK7dq1X3BE2l72+KozmVoshBBCVD+V/fktiawQQohXkiSyQgghRPVT2Z/fMrVYCCGEEEIIIUS1IomsEEIIIYQQQohqRXYtFkKIV0BiYiJRUVHcuHGjSu6fnZ2Nk5MTJ06coEWLFlUSQ0WaT9uFjr5hVYchhHhFZc9+t6pDEOK1JImsEEKIpxIaGsqNGzfYvHmzcs7BwYG8vDxq1apVdYEJIYQQ4rUhU4uFEEIA99/f+qx0dXWxtbWlRg35/agQQggh/nqSyAohxHOyc+dO/Pz8MDc3x8rKiq5du3Lx4kWl/Oeff6ZPnz5YWlpiZGSEt7c3hw8fVsq3bduGj48ParWaWrVq0b17d6WsuLiYMWPGUKdOHYyMjHjjjTdIS0t7bDxbtmzBy8sLtVpNgwYNiImJ4Y8//lDKVSoVixYt4m9/+xtGRkbMnDkTjUbDxx9/jJOTEwYGBri4uLBgwQLlmujoaFasWMGWLVtQqVSoVCrS0tLIzs5GpVKRkZGh1N23bx+tWrVCX18fOzs7JkyYoHV/f39/IiMjGTduHJaWltja2hIdHa2Ul5aWEh0dTb169dDX18fe3p7IyMin+UqEEEII8YqSX50LIcRzUlRUxKhRo3B3d6ewsJCpU6fSvXt3MjIyuH37Nu3bt6dOnTps3boVW1tbjh8/TklJCQDJycl0796dSZMmsXLlSu7evcv27duVtiMiIjh79ixr167F3t6epKQkunTpwqlTp3B2di4Ty/79++nfvz9ffPEF7dq14+LFiwwePBiAadOmKfWio6OZPXs28fHx1KhRg5KSEurWrcu3336LlZUVBw8eZPDgwdjZ2RESEsKYMWPIzMykoKCA5cuXA/ffRfzrr79q3f+XX37hnXfeITQ0lJUrV3Lu3DkGDRqEWq3WSlZXrFjBqFGjOHz4MIcOHSI0NBRfX186d+7Mxo0b+fzzz1m7di3NmjXj8uXLnDx5ssLnX1xcTHFxsXJc0ft5hRBCCFH9yXtkhRDiL/K///0Pa2trTp06xcGDBxkzZgzZ2dlYWlqWqdu2bVsaNGjA119/XaYsJyeHBg0akJOTg729vXI+ICCAVq1aMWvWrDKbPQUEBNCpUycmTpyo1P/6668ZN26cknSqVCqioqL4/PPPH9uPiIgILl++zIYNG4Dy18g+utnTpEmT2LhxI5mZmahUKgC++uorxo8fz82bN9HR0cHf3x+NRsP+/fuVdlq1akXHjh2ZPXs28+fPZ8mSJZw+fZqaNWs+4WnfT8pjYmLKnHeIWi+bPQkh/jKy2ZMQz5e8R1YIIV6wH3/8kT59+tCgQQNMTU1xdHQE7ieiGRkZeHp6lpvEAmRkZNCpU6dyy06dOoVGo6Fx48YYGxsrn3379mlNXX7YyZMnmT59ulb9QYMGkZeXx+3bt5V63t7eZa79xz/+QcuWLbG2tsbY2JilS5eSk5PzVM8iMzOTNm3aKEksgK+vL4WFhfz888/KOXd3d63r7OzsyM/PB6BXr17cuXOHBg0aMGjQIJKSkrSmJj9q4sSJ3Lx5U/nk5uY+VcxCCCGEqD5karEQQjwnQUFB1K9fn4SEBOzt7SkpKaF58+bcvXsXAwODx177uPLCwkJ0dXU5duwYurq6WmXGxsYVXhMTE0OPHj3KlKnVauW/jYyMtMrWrl3LmDFjiIuLo02bNpiYmDB37lyttbzP06MjrSqVSplu7eDgQFZWFqmpqaSkpDBs2DDmzp3Lvn37yh2h1dfXR19f/y+JUwghhBAvF0lkhRDiObh69SpZWVkkJCTQrl07AA4cOKCUu7u7s2zZMq5du1buqKy7uzt79uxh4MCBZco8PT3RaDTk5+crbT+Jl5cXWVlZNGrU6Kn6kZ6eTtu2bRk2bJhy7tFRXz09PTQazWPbcXV1ZePGjZSWliqjsunp6ZiYmFC3bt1Kx2NgYEBQUBBBQUF88sknNGnShFOnTuHl5fUUvRJCCCHEq0YSWSGEeA4sLCywsrJi6dKl2NnZkZOTw4QJE5TyPn36MGvWLIKDg4mNjcXOzo4TJ05gb29PmzZtmDZtGp06daJhw4a8//77/PHHH2zfvp3x48fTuHFj+vbtS//+/YmLi8PT05PffvuNPXv24O7uzrvvll2fNXXqVLp27Uq9evXo2bMnOjo6nDx5ktOnT/Ppp59W2A9nZ2dWrlzJrl27cHJyYtWqVRw9ehQnJyeljqOjI7t27SIrKwsrKyvMzMzKtDNs2DDi4+MZPnw4ERERZGVlMW3aNEaNGoWOTuVWtSQmJqLRaHjjjTcwNDTk66+/xsDAgPr161fq+gdOxwQ+do2NEEIIIaofWSMrhBDPgY6ODmvXruXYsWM0b96ckSNHMnfuXKVcT0+P3bt3U7t2bd555x3c3NyYPXu2MlXY39+fb7/9lq1bt9KiRQs6duzIkSNHlOuXL19O//79GT16NC4uLgQHB3P06FHq1atXbjyBgYF899137N69Gx8fH1q3bs3nn3/+xCRwyJAh9OjRg969e/PGG29w9epVrdFZgEGDBuHi4oK3tzfW1takp6eXaadOnTps376dI0eO4OHhQXh4OB9//DGTJ0+u9DM1NzcnISEBX19f3N3dSU1NZdu2bVhZWVW6DSGEEEK8mmTXYiGEEK+kyu56KIQQQoiXh+xaLIQQQgghhBDilSSJrBBCCCGEEEKIakUSWSGEEEIIIYQQ1YokskIIIYQQQgghqhVJZIUQQgghhBBCVCuSyAohhBBCCCGEqFZqVHUAQgjxoqSlpdGhQweuX7+Oubl5VYfzynjZn2vzabvQ0Tes6jCEEK+Q7NnvVnUIQrz2ZERWCPFSU6lUbN68+bm01bZtW/Ly8jAzM3su7b0M0tLSUKlU3Lhx44Xcz9/fn6ioKK1zr+JzFUIIIcTLTRJZIcRr4d69e+jp6WFra4tKparqcF64u3fv/mVtv87PVQghhBBVQxJZIUSVcnR0JD4+XutcixYtiI6OxtHREYDu3bujUqmUY4AtW7bg5eWFWq2mQYMGxMTE8McffyjlKpWKRYsW8be//Q0jIyNmzpxZZvQyMTERc3Nzdu3ahaurK8bGxnTp0oW8vDyteJYtW4arqytqtZomTZrw1VdfVbp/P//8M3369MHS0hIjIyO8vb05fPiwUr5o0SIaNmyInp4eLi4urFq1Sut6lUrFsmXL6N69O4aGhjg7O7N161YAsrOz6dChAwAWFhaoVCpCQ0OB+yOnERERREVFUatWLQIDAwGYP38+bm5uGBkZ4eDgwLBhwygsLNS6Z3p6Ov7+/hgaGmJhYUFgYCDXr18nNDSUffv2sWDBAlQqFSqViuzs7HJHhTdu3EizZs3Q19fH0dGRuLg4rXs4Ojoya9YsPvroI0xMTKhXrx5Lly5Vyu/evUtERAR2dnao1Wrq169PbGzsY591cXExBQUFWh8hhBBCvJokkRVCvLSOHj0KwPLly8nLy1OO9+/fT//+/RkxYgRnz55lyZIlJCYmMnPmTK3ro6Oj6d69O6dOneKjjz4q9x63b99m3rx5rFq1iv/85z/k5OQwZswYpXz16tVMnTqVmTNnkpmZyaxZs5gyZQorVqx4YvyFhYW0b9+eX375ha1bt3Ly5EnGjRtHSUkJAElJSYwYMYLRo0dz+vRphgwZwsCBA9m7d69WOzExMYSEhPDDDz/wzjvv0LdvX65du4aDgwMbN24EICsri7y8PBYsWKBct2LFCvT09EhPT2fx4sUA6Ojo8MUXX3DmzBlWrFjBv//9b8aNG6dck5GRQadOnWjatCmHDh3iwIEDBAUFodFoWLBgAW3atGHQoEHk5eWRl5eHg4NDmX4fO3aMkJAQ3n//fU6dOkV0dDRTpkwhMTFRq15cXBze3t6cOHGCYcOGMXToULKysgD44osv2Lp1K+vXrycrK4vVq1dr/SKjPLGxsZiZmSmf8mITQgghxKtBNnsSQry0rK2tATA3N8fW1lY5HxMTw4QJExgwYAAADRo0YMaMGYwbN45p06Yp9T744AMGDhyoHP/0009l7nHv3j0WL15Mw4YNAYiIiGD69OlK+bRp04iLi6NHjx4AODk5Kcnzg/tXZM2aNfz2228cPXoUS0tLABo1aqSUz5s3j9DQUIYNGwbAqFGj+O9//8u8efOUkVaA0NBQ+vTpA8CsWbP44osvOHLkCF26dFHarV27dpmNlpydnZkzZ47WuYfXtzo6OvLpp58SHh6ujDLPmTMHb29vrVHnZs2aKf+tp6eHoaGh1vfxqPnz59OpUyemTJkCQOPGjTl79ixz585VRowB3nnnHaXv48eP5/PPP2fv3r24uLiQk5ODs7Mzfn5+qFQq6tevX+H9Hpg4cSKjRo1SjgsKCiSZFUIIIV5RMiIrhKh2Tp48yfTp0zE2NlY+D0YJb9++rdTz9vZ+YluGhoZKEgtgZ2dHfn4+AEVFRVy8eJGPP/5Y616ffvopFy9efGLbGRkZeHp6KsnmozIzM/H19dU65+vrS2ZmptY5d3d35b+NjIwwNTVVYnycli1bljmXmppKp06dqFOnDiYmJvTr14+rV68qz+3BiOyfUVG/fvzxRzQajXLu4X6pVCpsbW2VfoWGhpKRkYGLiwuRkZHs3r37iffV19fH1NRU6yOEEEKIV5OMyAohqpSOjg6lpaVa5+7du/fYawoLC4mJiVFGSR+mVquV/zYyMnri/WvWrKl1rFKplHgerB1NSEjgjTfe0Kqnq6v7xLYNDAyeWKcyyovxwfTkx3m0/9nZ2XTt2pWhQ4cyc+ZMLC0tOXDgAB9//DF3797F0NDwucVcGY/rl5eXF5cuXWLHjh2kpqYSEhJCQEAAGzZseGHxCSGEEOLlJSOyQogqZW1trbW5UkFBAZcuXVKOa9asqTWKB/eTnKysLBo1alTmo6Pz/P5Zs7Gxwd7enp9++qnMfZycnJ54vbu7OxkZGVy7dq3ccldXV9LT07XOpaen07Rp00rHqKenB1DmGZXn2LFjlJSUEBcXR+vWrWncuDG//vprmZj37Nnz2Ps96V4V9atx48aV+gXAA6ampvTu3ZuEhATWrVvHxo0bK3yWQgghhHi9yIisEKJKdezYkcTERIKCgjA3N2fq1KlayY6joyN79uzB19cXfX19LCwsmDp1Kl27dqVevXr07NkTHR0dTp48yenTp/n000+fa3wxMTFERkZiZmZGly5dKC4u5vvvv+f69eta6zHL06dPH2bNmkVwcDCxsbHY2dlx4sQJ7O3tadOmDWPHjiUkJARPT08CAgLYtm0bmzZtIjU1tdLx1a9fH5VKxXfffcc777yDgYEBxsbG5dZt1KgR9+7d48svvyQoKEhrE6gHJk6ciJubG8OGDSM8PBw9PT327t1Lr169qFWrFo6Ojhw+fJjs7GyMjY3LnTY9evRofHx8mDFjBr179+bQoUMsXLjwqXZ7nj9/PnZ2dnh6eqKjo8O3336Lra1tmXXAlXE6JlCmGQshhBCvGBmRFUJUqYkTJ9K+fXu6du3Ku+++S3BwsNaa1bi4OFJSUnBwcMDT0xOAwMBAvvvuO3bv3o2Pjw+tW7fm888/r9SGQE8rLCyMZcuWsXz5ctzc3Gjfvj2JiYmVGpHV09Nj9+7d1K5dm3feeQc3Nzdmz56tJOrBwcEsWLCAefPm0axZM5YsWcLy5cvx9/evdHx16tRRNr+ysbEhIiKiwroeHh7Mnz+fzz77jObNm7N69eoyr7Rp3Lgxu3fv5uTJk7Rq1Yo2bdqwZcsWatS4/3vPMWPGoKurS9OmTbG2tiYnJ6fMfby8vFi/fj1r166lefPmTJ06lenTp2tt9PQkJiYmysZTPj4+ZGdns3379uc64i6EEEKI6ktV+ujiNCGEEOIVUFBQgJmZGTdv3pQRWSGEEKKaqOzPb/nVthBCCCGEEEKIakUSWSGEeEazZs3Sei3Pw5+33367qsMTQgghhHhlydRiIYR4RteuXatwF10DAwPq1KnzgiMSD5OpxUIIIUT1U9mf37JrsRBCPCNLS8tyd+0VQgghhBB/LZlaLIQQQgghhBCiWpERWSFeEv7+/rRo0YL4+Phyy1UqFUlJSQQHB7/QuERZaWlpdOjQgevXrz/Te03/atHR0SxatIj8/Hz5MwM0n7YLHX3Dqg5DCPECZc9+t6pDEEL8xSSRFaKayMvLw8LColJ1Jel9fWVmZhITE0NSUhKtW7eu9J8ZIYQQQojqRBJZIaoJW1vbqg6hXPfu3aNmzZpVHcYr4e7du+jp6f2pNi5evAhAt27dUKlUzyOsp/I8+iCEEEII8SSyRlaIl0hJSQnjxo3D0tISW1tboqOjlTKVSsXmzZuB+8lCREQEdnZ2qNVq6tevT2xsLACOjo4AdO/eHZVKpRwDLFq0iIYNG6Knp4eLiwurVq3Suv+5c+fw8/NDrVbTtGlTUlNTte6bnZ2NSqVi3bp1tG/fHrVazerVq7l69Sp9+vShTp06GBoa4ubmxjfffKPVtr+/P8OHDycqKgoLCwtsbGxISEigqKiIgQMHYmJiQqNGjdixY0elnlVaWhoqlYo9e/bg7e2NoaEhbdu2JSsrS6kTGhpaZlQ6KioKf3//5xJXeno67u7uqNVqWrduzenTp7XKDxw4QLt27TAwMMDBwYHIyEiKioqUckdHR2bMmEH//v0xNTVl8ODBT+z3qVOn6NixIwYGBlhZWTF48GAKCwuB+1OKg4KCANDR0alUIqtSqcp8Hv4zc/r0ad5++22MjY2xsbGhX79+/O9//9N6fhEREURFRVGrVi0CAwMB2LdvH61atUJfXx87OzsmTJjAH3/8oVxXUlJCbGwsTk5OGBgY4OHhwYYNG5Ty69ev07dvX6ytrTEwMMDZ2Znly5c/sT9CCCGEeD1IIivES2TFihUYGRlx+PBh5syZw/Tp00lJSSlT74svvmDr1q2sX7+erKwsVq9erSQfR48eBWD58uXk5eUpx0lJSYwYMYLRo0dz+vRphgwZwsCBA9m7dy8AGo2G4OBgDA0NOXz4MEuXLmXSpEnlxjlhwgRGjBhBZmYmgYGB/P7777Rs2ZLk5GROnz7N4MGD6devH0eOHCnTv1q1anHkyBGGDx/O0KFD6dWrF23btuX48eO89dZb9OvXj9u3b1f6mU2aNIm4uDi+//57atSowUcffVTpa/9sXGPHjiUuLo6jR49ibW1NUFAQ9+7dA+6PjHbp0oX33nuPH374gXXr1nHgwAEiIiK02pg3bx4eHh6cOHGCKVOmPDbOoqIiAgMDsbCw4OjRo3z77bekpqYqbY4ZM0ZJ9vLy8sjLy3ti3x/Uy8vL48KFCzRq1Ig333wTgBs3btCxY0c8PT35/vvv2blzJ1euXCEkJKTM89PT0yM9PZ3Fixfzyy+/8M477+Dj48PJkydZtGgR//znP/n000+Va2JjY1m5ciWLFy/mzJkzjBw5kg8//JB9+/YBMGXKFM6ePcuOHTvIzMxk0aJF1KpV67F9KS4upqCgQOsjhBBCiFeTvEdWiJeEv78/Go2G/fv3K+datWpFx44dmT17tta618jISM6cOaOMmD6qvDWyvr6+NGvWjKVLlyrnQkJCKCoqIjk5mZ07dxIUFERubq4yjTk1NZXOnTsrbWVnZ+Pk5ER8fDwjRox4bH+6du1KkyZNmDdvXrn902g0mJmZ0aNHD1auXAnA5cuXsbOz49ChQ7Ru3fqx7T/YcCk1NZVOnToBsH37dt59913u3LmDWq0mNDSUGzduKCPKcH9ENiMjg7S0tGeO68G9165dS+/evYH775StW7cuiYmJhISEEBYWhq6uLkuWLFHufeDAAdq3b09RURFqtRpHR0c8PT1JSkp6bF8fSEhIYPz48eTm5mJkZKT0OSgoiF9//RUbGxs2b95M9+7dedp/2ktLS3nvvffIyclh//79GBgY8Omnn7J//3527dql1Pv5559xcHAgKyuLxo0b4+/vT0FBAcePH1fqTJo0iY0bN5KZman8+fzqq68YP348N2/e5N69e1haWpKamkqbNm2U68LCwrh9+zZr1qzhb3/7G7Vq1eJf//pXpfsQHR1NTExMmfMOUetlsychXjOy2ZMQ1Vdl3yMrI7JCvETc3d21ju3s7MjPzy9TLzQ0lIyMDFxcXIiMjGT37t1PbDszMxNfX1+tc76+vmRmZgKQlZWFg4OD1lrcVq1alduWt7e31rFGo2HGjBm4ublhaWmJsbExu3btIicnp8L+6erqYmVlhZubm3LOxsYGoNw+V+ThNu3s7J76+j8T18NJmKWlJS4uLsrzPHnyJImJiRgbGyufwMBASkpKuHTpknLdo8/ycTIzM/Hw8FCSWLj/HZaUlGhNqX4Wf//73zl06BBbtmzBwMBA6cPevXu1+tCkSRPg/63FBWjZsmWZONu0aaP1SxZfX18KCwv5+eefuXDhArdv36Zz585aba9cuVJpd+jQoaxdu5YWLVowbtw4Dh48+MQ+TJw4kZs3byqf3NzcP/VMhBBCCPHyks2ehHiJPLppkkqloqSkpEw9Ly8vLl26xI4dO0hNTSUkJISAgACtNYZ/pYcTKYC5c+eyYMEC4uPjcXNzw8jIiKioKO7evatVr7z+PXzuQeJTXp8r8rjrdXR0yoxMPpj6+1fHVVhYyJAhQ4iMjCxTVq9ePeW/H32WVeHrr7/m888/Jy0tjTp16ijnCwsLCQoK4rPPPitzzYNfGsDT9+HBmt7k5GSt+wHo6+sD8Pbbb/N///d/bN++nZSUFDp16sQnn3yijPCXR19fX7leCCGEEK82SWSFqKZMTU3p3bs3vXv3pmfPnnTp0oVr165haWlJzZo10Wg0WvVdXV1JT09nwIAByrn09HSaNm0KgIuLC7m5uVy5ckUZgXywvvZJ0tPT6datGx9++CFwP+E7f/680nZVsba2LrMBU0ZGxnPbZfm///2vkpRev36d8+fP4+rqCtz/ZcPZs2dp1KjRc7kX3P8OExMTKSoqUpLH9PR0dHR0cHFxeaY2Dx06RFhYGEuWLCkzndvLy4uNGzfi6OhIjRqV/3Hh6urKxo0bKS0tVX4JkJ6ejomJCXXr1sXCwgJ9fX1ycnJo3759he1YW1szYMAABgwYQLt27Rg7duxjE1khhBBCvD4kkRWiGpo/fz52dnZ4enqio6PDt99+i62tLebm5sD93XD37NmDr68v+vr6WFhYMHbsWEJCQvD09CQgIIBt27axadMmUlNTAejcuTMNGzZkwIABzJkzh1u3bjF58mSAJ+5+6+zszIYNGzh48CAWFhbMnz+fK1euVHki27FjR+bOncvKlStp06YNX3/9NadPn8bT0/O5tD99+nSsrKywsbFh0qRJ1KpVS1mXPH78eFq3bk1ERARhYWEYGRlx9uxZUlJSWLhw4TPdr2/fvkybNo0BAwYQHR3Nb7/9xvDhw+nXr5/yy4encfnyZbp37877779PYGAgly9fBu5Pr7a2tuaTTz4hISGBPn36KLtpX7hwgbVr17Js2TJ0dXXLbXfYsGHEx8czfPhwIiIiyMrKYtq0aYwaNQodHR1MTEwYM2YMI0eOpKSkBD8/P27evEl6ejqmpqYMGDCAqVOn0rJlS5o1a0ZxcTHfffed8kuCp3U6JvCxa2yEEEIIUf3IGlkhqiETExPmzJmDt7c3Pj4+ZGdns337dnR07v+VjouLIyUlBQcHByVpCw4OZsGCBcybN49mzZqxZMkSli9frryKRldXl82bN1NYWIiPjw9hYWHKrsVqtfqx8UyePBkvLy8CAwPx9/fH1ta2zGtvqkJgYCBTpkxh3Lhx+Pj4cOvWLfr37//c2p89ezYjRoygZcuWXL58mW3btinvUHV3d2ffvn2cP3+edu3a4enpydSpU7G3t3/m+xkaGrJr1y6uXbuGj48PPXv2pFOnTs+cGJ87d44rV66wYsUK7OzslI+Pjw8A9vb2pKeno9FoeOutt3BzcyMqKgpzc3Plz1p56tSpw/bt2zly5AgeHh6Eh4fz8ccfK78YAZgxYwZTpkwhNjYWV1dXunTpQnJyMk5OTgDo6ekxceJE3N3defPNN9HV1WXt2rXP1E8hhBBCvHpk12IhRIXS09Px8/PjwoULNGzYsKrDEeKpVHbXQyGEEEK8PCr781umFgshFElJSRgbG+Ps7MyFCxcYMWIEvr6+ksQKIYQQQoiXikwtFkIobt26xSeffEKTJk0IDQ3Fx8eHLVu2VEks4eHhWq9mefgTHh5eJTH91WbNmlVhn99+++1narOi9oyNjbXeWSyEEEIIUZ3I1GIhxEspPz+fgoKCcstMTU2pXbv2C47or3ft2jWuXbtWbpmBgUGZV9VUxoULFyosq1OnjvLO2FeRTC0WQgghqh+ZWiyEqNZq1679Siarj2NpaYmlpeVzbfN5vv5HCCGEEOJlIVOLhRBCCCGEEEJUK5LICiGEEEIIIYSoVmRqsRCi2vH396dFixbEx8eXW65SqUhKSnop3mX7uklLS6NDhw5cv34dc3NzEhMTiYqK4saNG1UWU/Npu9DRN6yy+wshXrzs2e9WdQhCiL+YjMgKIV45eXl5ld7lV6VSsXnz5r82oNdY7969OX/+fFWHIYQQQohXjIzICiFeOba2tlUdQrnu3btHzZo1qzqMF8rAwOCV3hlZCCGEEFVDRmSFENVSSUkJ48aNw9LSEltbW6Kjo5Wyh0dZ7969S0REBHZ2dqjVaurXr09sbCwAjo6OAHTv3h2VSqUcAyxatIiGDRuip6eHi4sLq1at0rr/uXPn8PPzQ61W07RpU1JTU7Xum52djUqlYt26dbRv3x61Ws3q1au5evUqffr0oU6dOhgaGuLm5sY333yj1ba/vz/Dhw8nKioKCwsLbGxsSEhIoKioiIEDB2JiYkKjRo3YsWNHpZ5VWloaKpWKXbt24enpiYGBAR07diQ/P58dO3bg6uqKqakpH3zwAbdv39Z6xrGxsTg5OWFgYICHhwcbNmzQanv79u00btwYAwMDOnToQHZ2tlZ5YmIi5ubmyvHFixfp1q0bNjY2GBsb4+PjQ2pqqtY1jo6OzJo1i48++ggTExPq1avH0qVLn9jP4uJiCgoKtD5CCCGEeDVJIiuEqJZWrFiBkZERhw8fZs6cOUyfPp2UlJQy9b744gu2bt3K+vXrycrKYvXq1UrCevToUQCWL19OXl6ecpyUlMSIESMYPXo0p0+fZsiQIQwcOJC9e/cCoNFoCA4OxtDQkMOHD7N06VImTZpUbpwTJkxgxIgRZGZmEhgYyO+//07Lli1JTk7m9OnTDB48mH79+nHkyJEy/atVqxZHjhxh+PDhDB06lF69etG2bVuOHz/OW2+9Rb9+/bQSzyeJjo5m4cKFHDx4kNzcXEJCQoiPj2fNmjUkJyeze/duvvzyS6V+bGwsK1euZPHixZw5c4aRI0fy4Ycfsm/fPgByc3Pp0aMHQUFBZGRkEBYWxoQJEx4bQ2FhIe+88w579uzhxIkTdOnShaCgIHJycrTqxcXF4e3tzYkTJxg2bBhDhw4lKyvrsW3HxsZiZmamfBwcHCr9bIQQQghRvahKS0tLqzoIIYR4Gv7+/mg0Gvbv36+ca9WqFR07dmT27Nlamz1FRkZy5swZZcT0UeVtDOXr60uzZs20RgFDQkIoKioiOTmZnTt3EhQURG5urjKNOTU1lc6dOyttZWdn4+TkRHx8PCNGjHhsf7p27UqTJk2YN29euf3TaDSYmZnRo0cPVq5cCcDly5exs7Pj0KFDtG7d+rHtP9iAKTU1lU6dOgEwe/ZsJk6cyMWLF2nQoAEA4eHhZGdns3PnToqLi7G0tCQ1NZU2bdoobYWFhXH79m3WrFnD3//+d7Zs2cKZM2eU8gkTJvDZZ5891WZPzZs3Jzw8nIiICOD+iGy7du2UUfDS0lJsbW2JiYkhPDy8wnaKi4spLi5WjgsKCnBwcMAhar1s9iTEa0Y2exKi+iooKMDMzIybN29iampaYT0ZkRVCVEvu7u5ax3Z2duTn55epFxoaSkZGBi4uLkRGRrJ79+4ntp2ZmYmvr6/WOV9fXzIzMwHIysrCwcFBay1uq1atym3L29tb61ij0TBjxgzc3NywtLTE2NiYXbt2lRmRfLh/urq6WFlZ4ebmppyzsbEBKLfPFXm4TRsbGwwNDZUk9sG5B+1duHCB27dv07lzZ4yNjZXPypUruXjxInD/Ob3xxhta93g46S1PYWEhY8aMwdXVFXNzc4yNjcnMzHxs/1UqFba2tk/sq76+PqamplofIYQQQryaZLMnIUS19OimSSqVipKSkjL1vLy8uHTpEjt27CA1NZWQkBACAgLKrPX8qxgZGWkdz507lwULFhAfH4+bmxtGRkZERUVx9+5drXrl9e/hcw9Gl8vrc0Uevf5xz7CwsBCA5ORk6tSpo1VPX1+/0vd81JgxY0hJSWHevHk0atQIAwMDevbsWan+P01fhRBCCPFqk0RWCPHKMzU1pXfv3vTu3ZuePXvSpUsXrl27hqWlJTVr1kSj0WjVd3V1JT09nQEDBijn0tPTadq0KQAuLi7k5uZy5coVZWT0wfraJ0lPT6dbt258+OGHwP1E9Pz580rbL4umTZuir69PTk4O7du3L7eOq6srW7du1Tr33//+97HtpqenExoaSvfu3YH7CfOjG0QJIYQQQjyJJLJCiFfa/PnzsbOzw9PTEx0dHb799ltsbW2VnXQdHR3Zs2cPvr6+6OvrY2FhwdixYwkJCcHT05OAgAC2bdvGpk2blN11O3fuTMOGDRkwYABz5szh1q1bTJ48GaDcdbgPc3Z2ZsOGDRw8eBALCwvmz5/PlStXXrpE1sTEhDFjxjBy5EhKSkrw8/Pj5s2bpKenY2pqyoABAwgPDycuLo6xY8cSFhbGsWPHSExMfGy7zs7ObNq0iaCgIFQqFVOmTPnLR1pPxwTKNGMhhBDiFSNrZIUQrzQTExPmzJmDt7c3Pj4+ZGdns337dnR07v/zFxcXR0pKCg4ODnh6egIQHBzMggULmDdvHs2aNWPJkiUsX74cf39/4P6a1c2bN1NYWIiPjw9hYWHKrsVqtfqx8UyePBkvLy8CAwPx9/fH1tZWa6Opl8mMGTOYMmUKsbGxuLq60qVLF5KTk3FycgKgXr16bNy4kc2bN+Ph4cHixYuZNWvWY9ucP38+FhYWtG3blqCgIAIDA/Hy8noR3RFCCCHEK0R2LRZCiOcgPT0dPz8/Lly4QMOGDas6HEHldz0UQgghxMujsj+/ZWqxEEI8g6SkJIyNjXF2dubChQuMGDECX19fSWKFEEIIIV4AmVoshBDP4NatW3zyySc0adKE0NBQfHx82LJlS5XEEh4ervWKnIc/j3vvqhBCCCFEdSVTi4UQoprLz8+noKCg3DJTU1Nq1679giN6OcjUYiGEEKL6kanFQgjxmqhdu/Zrm6wKIYQQ4vUkU4uFEEIIIYQQQlQrksgKIV4L/v7+REVFVViuUqnYvHnzC4tHCCGEEEI8O5laLIQQQF5eHhYWFpWqq1KpSEpKemnf/yq0NZ+2Cx19w6oOQwjxjLJnv1vVIQghXkKSyAohBGBra1vVIZTr3r171KxZs6rDEEIIIYR4qcjUYiHEa6OkpIRx48ZhaWmJra0t0dHRStnDU4vv3r1LREQEdnZ2qNVq6tevT2xsLACOjo4AdO/eHZVKpRwDLFq0iIYNG6Knp4eLiwurVq3Suv+5c+fw8/NDrVbTtGlTUlNTte6bnZ2NSqVi3bp1tG/fHrVazerVq7l69Sp9+vShTp06GBoa4ubmxjfffKPVtr+/P8OHDycqKgoLCwtsbGxISEigqKiIgQMHYmJiQqNGjdixY0elnlVaWhoqlYpdu3bh6emJgYEBHTt2JD8/nx07duDq6oqpqSkffPABt2/f1nrGsbGxODk5YWBggIeHBxs2bFDKNRoNH3/8sVLu4uLCggULtO4dGhpKcHAw8+bNw87ODisrKz755BPu3btXqdiFEEII8eqTEVkhxGtjxYoVjBo1isOHD3Po0CFCQ0Px9fWlc+fOWvW++OILtm7dyvr166lXrx65ubnk5uYCcPToUWrXrs3y5cvp0qULurq6ACQlJTFixAji4+MJCAjgu+++Y+DAgdStW5cOHTqg0WgIDg6mXr16HD58mFu3bjF69Ohy45wwYQJxcXF4enqiVqv5/fffadmyJePHj8fU1JTk5GT69etHw4YNadWqlVb/xo0bx5EjR1i3bh1Dhw4lKSmJ7t278/e//53PP/+cfv36kZOTg6Fh5abaRkdHs3DhQgwNDQkJCSEkJAR9fX3WrFlDYWEh3bt358svv2T8+PEAxMbG8vXXX7N48WKcnZ35z3/+w4cffoi1tTXt27enpKSEunXr8u2332JlZcXBgwcZPHgwdnZ2hISEKPfdu3cvdnZ27N27lwsXLtC7d29atGjBoEGDKoy1uLiY4uJi5biiVxIJIYQQovqT98gKIV4L/v7+aDQa9u/fr5xr1aoVHTt2ZPbs2VrrXiMjIzlz5owyYvqo8tbI+vr60qxZM5YuXaqcCwkJoaioiOTkZHbu3ElQUBC5ubnKNObU1FQ6d+6stJWdnY2TkxPx8fGMGDHisf3p2rUrTZo0Yd68eeX2T6PRYGZmRo8ePVi5ciUAly9fxs7OjkOHDtG6devHtp+WlkaHDh1ITU2lU6dOAMyePZuJEydy8eJFGjRoAEB4eDjZ2dns3LmT4uJiLC0tSU1NpU2bNkpbYWFh3L59mzVr1pR7r4iICC5fvqyM3IaGhpKWlsbFixeVXxSEhISgo6PD2rVrK4w5OjqamJiYMucdotbLGlkhqjFZIyvE66Wy75GVqcVCiNeGu7u71rGdnR35+fll6oWGhpKRkYGLiwuRkZHs3r37iW1nZmbi6+urdc7X15fMzEwAsrKycHBw0FqL+/Bo6sO8vb21jjUaDTNmzMDNzQ1LS0uMjY3ZtWsXOTk5FfZPV1cXKysr3NzclHM2NjYA5fa5Ig+3aWNjg6GhoZLEPjj3oL0LFy5w+/ZtOnfujLGxsfJZuXIlFy9eVK75xz/+QcuWLbG2tsbY2JilS5eW6UuzZs2UJBYq/q4eNnHiRG7evKl8HoyiCyGEEOLVI1OLhRCvjUc3TVKpVJSUlJSp5+XlxaVLl9ixYwepqamEhIQQEBCgtdbzr2RkZKR1PHfuXBYsWEB8fDxubm4YGRkRFRXF3bt3teqV17+Hzz0YXS6vzxV59PrHPcPCwkIAkpOTqVOnjlY9fX19ANauXcuYMWOIi4ujTZs2mJiYMHfuXA4fPvzEvjwpbn19feU+QgghhHi1SSIrhBDlMDU1pXfv3vTu3ZuePXvSpUsXrl27hqWlJTVr1kSj0WjVd3V1JT09nQEDBijn0tPTadq0KQAuLi7k5uZy5coVZWT06NGjlYolPT2dbt268eGHHwL3E9Hz588rbb8smjZtir6+Pjk5ObRv377cOunp6bRt25Zhw4Yp5x4erRVCCCGEqAxJZIUQ4hHz58/Hzs4OT09PdHR0+Pbbb7G1tcXc3By4v3Pxnj178PX1RV9fHwsLC8aOHUtISAienp4EBASwbds2Nm3aRGpqKgCdO3emYcOGDBgwgDlz5nDr1i0mT54MUO463Ic5OzuzYcMGDh48iIWFBfPnz+fKlSsvXSJrYmLCmDFjGDlyJCUlJfj5+XHz5k3S09MxNTVlwIABODs7s3LlSnbt2oWTkxOrVq3i6NGjODk5/WVxnY4JfOwaGyGEEEJUP7JGVgghHmFiYsKcOXPw9vbGx8eH7Oxstm/fjo7O/X8y4+LiSElJwcHBAU9PTwCCg4NZsGAB8+bNo1mzZixZsoTly5fj7+8P3F+zunnzZgoLC/Hx8SEsLIxJkyYBoFarHxvP5MmT8fLyIjAwEH9/f2xtbbU2mnqZzJgxgylTphAbG4urqytdunQhOTlZSVSHDBlCjx496N27N2+88QZXr17VGp0VQgghhKgM2bVYCCGqSHp6On5+fly4cIGGDRtWdTivnMrueiiEEEKIl0dlf37L1GIhhHhBkpKSMDY2xtnZmQsXLjBixAh8fX0liRVCCCGEeEoytVgIIV6QW7du8cknn9CkSRNCQ0Px8fFhy5YtVRJLeHi41ityHv6Eh4dXSUxCCCGEEJUlU4uFEOI1lJ+fT0FBQbllpqam1K5d+wVH9PzJ1GIhhBCi+pGpxUIIISpUu3btVyJZFUIIIcTrSaYWCyGEEEIIIYSoViSRFUIIIYQQQghRrcjUYiFEteHv70+LFi2Ij4/H0dGRqKgooqKiKnVtdnY2Tk5OnDhxghYtWvylcT5tbH9WYmIiUVFR3Lhx44Xc71Ev8tk+i+bTdqGjb1jVYQghKil79rtVHYIQohqQEVkhRLV09OhRBg8e/FzbTExMxNzc/Lm2+aoJDQ0lODhY65yDgwN5eXk0b968aoISQgghxGtHRmSFENWStbV1VYfwSrl37x41a9Z8pmt1dXWxtbV9zhEJIYQQQlRMRmSFENWSo6Mj8fHxyvG5c+fw8/NDrVbTtGlTUlNTUalUbN68Weu6n376iQ4dOmBoaIiHhweHDh0CIC0tjYEDB3Lz5k1UKhUqlYro6OgnxpGfn09QUBAGBgY4OTmxevXqMnVu3LhBWFgY1tbWmJqa0rFjR06ePKlVZ9u2bfj4+KBWq6lVqxbdu3dXyoqLixkzZgx16tTByMiIN954g7S0tMfGtWXLFry8vFCr1TRo0ICYmBj++OMPpVylUrFo0SL+9re/YWRkxMyZM9FoNHz88cc4OTlhYGCAi4sLCxYsUK6Jjo5mxYoVbNmyRXlGaWlpZGdno1KpyMjIUOru27ePVq1aoa+vj52dHRMmTNC6v7+/P5GRkYwbNw5LS0tsbW21nndpaSnR0dHUq1cPfX197O3tiYyMfNLXIYQQQojXhIzICiGqPY1GQ3BwMPXq1ePw4cPcunWL0aNHl1t30qRJzJs3D2dnZyZNmkSfPn24cOECbdu2JT4+nqlTp5KVlQWAsbHxE+8dGhrKr7/+yt69e6lZsyaRkZHk5+dr1enVqxcGBgbs2LEDMzMzlixZQqdOnTh//jyWlpYkJyfTvXt3Jk2axMqVK7l79y7bt29Xro+IiODs2bOsXbsWe3t7kpKS6NKlC6dOncLZ2blMTPv376d///588cUXtGvXjosXLyrTsKdNm6bUi46OZvbs2cTHx1OjRg1KSkqoW7cu3377LVZWVhw8eJDBgwdjZ2dHSEgIY8aMITMzk4KCApYvXw6ApaUlv/76q9b9f/nlF9555x1CQ0NZuXIl586dY9CgQajVaq1kdcWKFYwaNYrDhw9z6NAhQkND8fX1pXPnzmzcuJHPP/+ctWvX0qxZMy5fvlwm+X9UcXExxcXFynFF78kVQgghRPUniawQotpLSUnh4sWLpKWlKVNcZ86cSefOncvUHTNmDO++e38jkZiYGJo1a8aFCxdo0qQJZmZmqFSqSk+TPX/+PDt27ODIkSP4+PgA8M9//hNXV1elzoEDBzhy5Aj5+fno6+sDMG/ePDZv3syGDRsYPHgwM2fO5P333ycmJka5zsPDA4CcnByWL19OTk4O9vb2Sh927tzJ8uXLmTVrVpm4YmJimDBhAgMGDACgQYMGzJgxg3Hjxmklsh988AEDBw4sc+0DTk5OHDp0iPXr1xMSEoKxsTEGBgYUFxc/9hl99dVXODg4sHDhQlQqFU2aNOHXX39l/PjxTJ06FR2d+5OB3N3dlXicnZ1ZuHAhe/bsoXPnzuTk5GBra0tAQAA1a9akXr16tGrV6rHfR2xsrFb8QgghhHh1ydRiIUS1l5WVhYODg1ZyVVHS4+7urvy3nZ0dQJkR1MrKzMykRo0atGzZUjnXpEkTrQ2jTp48SWFhIVZWVhgbGyufS5cucfHiRQAyMjLo1KlTufc4deoUGo2Gxo0ba12/b98+5fpHnTx5kunTp2vVHzRoEHl5edy+fVup5+3tXebaf/zjH7Rs2RJra2uMjY1ZunQpOTk5T/1c2rRpg0qlUs75+vpSWFjIzz//rJx7+LuA+9/Hg++iV69e3LlzhwYNGjBo0CCSkpK0piaXZ+LEidy8eVP55ObmPlXcQgghhKg+ZERWCPFaeXhDoweJVklJyV92v8LCQuzs7Mpd0/og4TUwMHjs9bq6uhw7dgxdXV2tsoqmPhcWFhITE0OPHj3KlKnVauW/jYyMtMrWrl3LmDFjiIuLo02bNpiYmDB37lwOHz5cYXx/xqObS6lUKuW7cHBwICsri9TUVFJSUhg2bBhz585l3759FW5Kpa+vr4x6CyGEEOLVJomsEKLac3FxITc3lytXrmBjYwPcfz3P09LT00Oj0VS6fpMmTfjjjz84duyYMrU4KytL632uXl5eXL58mRo1auDo6FhuO+7u7uzZs6fMNF8AT09PNBoN+fn5tGvXrlJxeXl5kZWVRaNGjSrdF4D09HTatm3LsGHDlHOPjvpW5hm5urqyceNGSktLlV8WpKenY2JiQt26dSsdj4GBAUFBQQQFBfHJJ5/QpEkTTp06hZeX11P0SgghhBCvIklkhRDVXufOnWnYsCEDBgxgzpw53Lp1i8mTJwNoTW99EkdHRwoLC9mzZw8eHh4YGhpiaGhYYX0XFxe6dOnCkCFDWLRoETVq1CAqKkprhDUgIIA2bdoQHBzMnDlzaNy4Mb/++quywZO3tzfTpk2jU6dONGzYkPfff58//viD7du3M378eBo3bkzfvn3p378/cXFxeHp68ttvv7Fnzx7c3d2V9b4Pmzp1Kl27dqVevXr07NkTHR0dTp48yenTp/n0008r7I+zszMrV65k165dODk5sWrVKo4ePYqTk5PWM9q1axdZWVlYWVlhZmZWpp1hw4YRHx/P8OHDiYiIICsri2nTpjFq1ChlfeyTJCYmotFoeOONNzA0NOTrr7/GwMCA+vXrV+r6h52OCcTU1PSprxNCCCHEy0vWyAohqj1dXV02b95MYWEhPj4+hIWFMWnSJEB7Ku2TtG3blvDwcHr37o21tTVz5sx54jXLly/H3t6e9u3b06NHDwYPHkzt2rWVcpVKxfbt23nzzTcZOHAgjRs35v333+f//u//lNFjf39/vv32W7Zu3UqLFi3o2LEjR44c0bpH//79GT16NC4uLgQHB3P06FHq1atXbkyBgYF899137N69Gx8fH1q3bs3nn3/+xCRwyJAh9OjRg969e/PGG29w9epVrdFZgEGDBuHi4oK3tzfW1takp6eXaadOnTps376dI0eO4OHhQXh4OB9//LHyy4XKMDc3JyEhAV9fX9zd3UlNTWXbtm1YWVlVug0hhBBCvLpUpaWlpVUdhBBCPG/p6en4+flx4cIFGjZsWNXhiCpQUFCAmZkZN2/elBFZIYQQopqo7M9vmVoshHglJCUlYWxsjLOzMxcuXGDEiBH4+vpKEiuEEEII8QqSRFYI8Uq4desW48ePJycnh1q1ahEQEEBcXNyfanP//v28/fbbFZYXFhb+qfaFEEIIIcSzkanFQghRgTt37vDLL79UWP60uwKLF0umFgshhBDVj0wtFkKIP8nAwECSVSGEEEKIl5DsWiyEEEIIIYQQolqRRFYIIYQQQgghRLUiU4uFEK8Ff39/WrRoQXx8fLnlKpWKpKQkgoODX2hcAtLS0ujQoQPXr1/H3Nz8ubfffNoudPQNn3u7Qog/J3v2u1UdghCiGpMRWSGEAPLy8h67Q/HDVCoVmzdv/msDEkIIIYQQFZIRWSGEAGxtbas6hHLdu3ePmjVrVnUYQgghhBAvFRmRFUK8NkpKShg3bhyWlpbY2toSHR2tlD08ynr37l0iIiKws7NDrVZTv359YmNjAXB0dASge/fuqFQq5Rhg0aJFNGzYED09PVxcXFi1apXW/c+dO4efnx9qtZqmTZuSmpqqdd/s7GxUKhXr1q2jffv2qNVqVq9ezdWrV+nTpw916tTB0NAQNzc3vvnmG622/f39GT58OFFRUVhYWGBjY0NCQgJFRUUMHDgQExMTGjVqxI4dOyr1rNLS0lCpVOzatQtPT08MDAzo2LEj+fn57NixA1dXV0xNTfnggw+4ffu2cl1xcTGRkZHUrl0btVqNn58fR48e1Wp7+/btNG7cGAMDAzp06EB2dnaZ+x84cIB27dphYGCAg4MDkZGRFBUVPTbm4uJiCgoKtD5CCCGEeDVJIiuEeG2sWLECIyMjDh8+zJw5c5g+fTopKSll6n3xxRds3bqV9evXk5WVxerVq5WE9UFStnz5cvLy8pTjpKQkRowYwejRozl9+jRDhgxh4MCB7N27FwCNRkNwcDCGhoYcPnyYpUuXMmnSpHLjnDBhAiNGjCAzM5PAwEB+//13WrZsSXJyMqdPn2bw4MH069ePI0eOlOlfrVq1OHLkCMOHD2fo0KH06tWLtm3bcvz4cd566y369eunlXg+SXR0NAsXLuTgwYPk5uYSEhJCfHw8a9asITk5md27d/Pll18q9ceNG8fGjRtZsWIFx48fp1GjRgQGBnLt2jUAcnNz6dGjB0FBQWRkZBAWFsaECRO07nnx4kW6dOnCe++9xw8//MC6des4cOAAERERj401NjYWMzMz5ePg4FDpfgohhBCielGVlpaWVnUQQgjxV/P390ej0bB//37lXKtWrejYsSOzZ8/W2uwpMjKSM2fOKCOmjypvYyhfX1+aNWvG0qVLlXMhISEUFRWRnJzMzp07CQoKIjc3V5nGnJqaSufOnZW2srOzcXJyIj4+nhEjRjy2P127dqVJkybMmzev3P5pNBrMzMzo0aMHK1euBODy5cvY2dlx6NAhWrdu/dj2H2zAlJqaSqdOnQCYPXs2EydO5OLFizRo0ACA8PBwsrOz2blzJ0VFRVhYWJCYmMgHH3wA3J8a7ejoSFRUFGPHjuXvf/87W7Zs4cyZM8q9JkyYwGeffaZs9hQWFoauri5LlixR6hw4cID27dtTVFSEWq0uN+bi4mKKi4uV44KCAhwcHHCIWi+bPQnxEpLNnoQQ5SkoKMDMzIybN29iampaYT0ZkRVCvDbc3d21ju3s7MjPzy9TLzQ0lIyMDFxcXIiMjGT37t1PbDszMxNfX1+tc76+vmRmZgKQlZWFg4OD1lrcVq1alduWt7e31rFGo2HGjBm4ublhaWmJsbExu3btIicnp8L+6erqYmVlhZubm3LOxsYGoNw+V+ThNm1sbDA0NFSS2AfnHrR38eJF7t27p/UcatasSatWrZTnkJmZyRtvvKF1jzZt2mgdnzx5ksTERIyNjZVPYGAgJSUlXLp0qcJY9fX1MTU11foIIYQQ4tUkmz0JIV4bj26apFKpKCkpKVPPy8uLS5cusWPHDlJTUwkJCSEgIIANGza8kDiNjIy0jufOncuCBQuIj4/Hzc0NIyMjoqKiuHv3rla98vr38LkHo8vl9bkij15f2Wf4ZxQWFjJkyBAiIyPLlNWrV++53ksIIYQQ1ZOMyAohRDlMTU3p3bs3CQkJrFu3jo0bNyrrPGvWrIlGo9Gq7+rqSnp6uta59PR0mjZtCoCLiwu5ublcuXJFKX90E6SKpKen061bNz788EM8PDxo0KAB58+f/zPd+0s82Ojq4edw7949jh49qjwHV1fXMmt7//vf/2ode3l5cfbsWRo1alTmo6en99d3RAghhBAvPRmRFUKIR8yfPx87Ozs8PT3R0dHh22+/xdbWFnNzc+D+zsV79uzB19cXfX19LCwsGDt2LCEhIXh6ehIQEMC2bdvYtGkTqampAHTu3JmGDRsyYMAA5syZw61bt5g8eTJAuetwH+bs7MyGDRs4ePAgFhYWzJ8/nytXrijJ4cvCyMiIoUOHMnbsWCwtLalXrx5z5szh9u3bfPzxx8D9NbVxcXGMHTuWsLAwjh07RmJiolY748ePp3Xr1kRERBAWFoaRkRFnz54lJSWFhQsXPnVcp2MCZZqxEEII8YqREVkhhHiEiYkJc+bMwdvbGx8fH7Kzs9m+fTs6Ovf/yYyLiyMlJQUHBwc8PT0BCA4OZsGCBcybN49mzZqxZMkSli9fjr+/P3B/zermzZspLCzEx8eHsLAwZdfiijYvemDy5Ml4eXkRGBiIv78/tra2WhtNvUxmz57Ne++9R79+/fDy8uLChQvs2rULCwsL4P7U4I0bN7J582Y8PDxYvHgxs2bN0mrD3d2dffv2cf78edq1a4enpydTp07F3t6+KrokhBBCiJeQ7FoshBBVJD09HT8/Py5cuEDDhg2rOpxXTmV3PRRCCCHEy6OyP79larEQQrwgSUlJGBsb4+zszIULFxgxYgS+vr6SxAohhBBCPCWZWiyEEC/IrVu3+OSTT2jSpAmhoaH4+PiwZcuWKoklPDxc6/U2D3/Cw8OrJCYhhBBCiMqSqcVCCPEays/Pp6CgoNwyU1NTateu/YIjev5karEQQghR/cjUYiGEEBWqXbv2K5GsCiGEEOL1JFOLhRBCCCGEEEJUKzIiK4R4bfj7+9OiRQvi4+PLLVepVCQlJb20r7Z52Tk6OhIVFUVUVFSFdSrzjENDQ7lx4wabN29+LnE1n7YLHX3D59KWEOLPy579blWHIIR4BciIrBBC/P/y8vJ4++23K1VXpVI9t0TrVXH06FEGDx5c6frZ2dmoVCoyMjL+uqCEEEII8UqSEVkhhPj/2draVnUI5bp37x41a9as6jCeyNrauqpDEEIIIcRrQkZkhRCvlZKSEsaNG4elpSW2trZER0crZQ+Pst69e5eIiAjs7OxQq9XUr1+f2NhY4P4UWoDu3bujUqmUY4BFixbRsGFD9PT0cHFxYdWqVVr3P3fuHH5+fqjVapo2bUpqaqrWfR+MUq5bt4727dujVqtZvXo1V69epU+fPtSpUwdDQ0Pc3Nz45ptvtNr29/dn+PDhREVFYWFhgY2NDQkJCRQVFTFw4EBMTExo1KgRO3bsqNSz8vb2Zt68ecpxcHAwNWvWpLCwEICff/4ZlUrFhQsXlOfy8LTtH3/8kTfffFPpa0pKilb7Tk5OAHh6eqJSqfD399cqnzdvHnZ2dlhZWfHJJ59w7969SsUthBBCiFefJLJCiNfKihUrMDIy4vDhw8yZM4fp06eXSbAAvvjiC7Zu3cr69evJyspi9erVSsJ69OhRAJYvX05eXp5ynJSUxIgRIxg9ejSnT59myJAhDBw4kL179wKg0WgIDg7G0NCQw4cPs3TpUiZNmlRunBMmTGDEiBFkZmYSGBjI77//TsuWLUlOTub06dMMHjyYfv36ceTIkTL9q1WrFkeOHGH48OEMHTqUXr160bZtW44fP85bb71Fv379uH379hOfVfv27UlLSwOgtLSU/fv3Y25uzoEDBwDYt28fderUoVGjRmWuLSkpoUePHujp6XH48GEWL17M+PHjteo8iD01NZW8vDw2bdqklO3du5eLFy+yd+9eVqxYQWJiIomJiY+Nt7i4mIKCAq2PEEIIIV5NksgKIV4r7u7uTJs2DWdnZ/r374+3tzd79uwpUy8nJwdnZ2f8/PyoX78+fn5+9OnTB/h/U2jNzc2xtbVVjufNm0doaCjDhg2jcePGjBo1ih49eiijmikpKVy8eJGVK1fi4eGBn58fM2fOLDfOqKgoevTogZOTE3Z2dtSpU4cxY8bQokULGjRowPDhw+nSpQvr16/Xus7Dw4PJkyfj7OzMxIkTUavV1KpVi0GDBuHs7MzUqVO5evUqP/zwwxOflb+/PwcOHECj0fDDDz+gp6dH3759leQ2LS2N9u3bl3ttamoq586dU/r65ptvMmvWLK06D56blZUVtra2WFpaKmUWFhYsXLiQJk2a0LVrV959991yv6eHxcbGYmZmpnwcHBye2EchhBBCVE+SyAohXivu7u5ax3Z2duTn55epFxoaSkZGBi4uLkRGRrJ79+4ntp2ZmYmvr6/WOV9fXzIzMwHIysrCwcFBay1uq1atym3L29tb61ij0TBjxgzc3NywtLTE2NiYXbt2kZOTU2H/dHV1sbKyws3NTTlnY2MDUG6fH9WuXTtu3brFiRMn2LdvH+3bt8ff319JZPft21dmOvADmZmZODg4YG9vr5xr06bNE+/5QLNmzdDV1VWOK/qeHjZx4kRu3rypfHJzcyt9PyGEEEJUL5LICiFeK49umqRSqSgpKSlTz8vLi0uXLjFjxgzu3LlDSEgIPXv2fFFhYmRkpHU8d+5cFixYwPjx49m7dy8ZGRkEBgZy9+5drXrl9e/hcyqVCqDcPj/K3NwcDw8P0tLSlKT1zTff5MSJE5w/f54ff/yxwhHZP6uy39PD9PX1MTU11foIIYQQ4tUkiawQQlTA1NSU3r17k5CQwLp169i4cSPXrl0D7idaGo1Gq76rqyvp6ela59LT02natCkALi4u5ObmcuXKFaX8wfraJ0lPT6dbt258+OGHeHh40KBBA86fP/9nulcp7du3Z+/evfznP//B398fS0tLXF1dmTlzJnZ2djRu3Ljc61xdXcnNzSUvL08599///lerjp6eHkCZ5yiEEEII8STy+h0hhCjH/PnzsbOzw9PTEx0dHb799ltsbW0xNzcH7u/Qu2fPHnx9fdHX18fCwoKxY8cSEhKCp6cnAQEBbNu2jU2bNpGamgpA586dadiwIQMGDGDOnDncunWLyZMnA/9vpLQizs7ObNiwgYMHD2JhYcH8+fO5cuWKkiT/Vfz9/fnyyy+xtramSZMmyrmFCxfSq1evCq8LCAigcePGDBgwgLlz51JQUFBmY6vatWtjYGDAzp07qVu3Lmq1GjMzs+feh9MxgTI6K4QQQrxiZERWCCHKYWJiwpw5c/D29sbHx4fs7Gy2b9+Ojs79fzbj4uJISUnBwcEBT09P4P7raRYsWMC8efNo1qwZS5YsYfny5co6Ul1dXTZv3kxhYSE+Pj6EhYUpyZ1arX5sPJMnT8bLy4vAwED8/f2xtbUlODj4L+v/A+3ataOkpERrCrG/vz8ajabC9bEAOjo6JCUlcefOHVq1akVYWFiZja1q1KjBF198wZIlS7C3t6dbt25/VTeEEEII8YpRlZaWllZ1EEII8bpKT0/Hz8+PCxcu0LBhw6oO55VSUFCAmZkZN2/elBFZIYQQopqo7M9vmVoshBAvUFJSEsbGxjg7O3PhwgVGjBiBr6+vJLFCCCGEEE9BphYLIcQLdOvWLT755BOaNGlCaGgoPj4+bNmypUpiCQ8Px9jYuNxPeHh4lcQkhBBCCFEZz21q8Y0bN5RNUIQQQrz88vPzKSgoKLfM1NSU2rVrv+CIni+ZWiyEEEJUP3/p1OLPPvsMR0dHevfuDUBISAgbN27E1taW7du34+Hh8WxRCyGEeGFq165d7ZNVIYQQQryenmlq8eLFi3FwcAAgJSWFlJQUduzYwdtvv83YsWOfa4BCCCGEEEIIIcTDnmlE9vLly0oi+9133xESEsJbb72Fo6Mjb7zxxnMNUAghhBBCCCGEeNgzJbIWFhbk5ubi4ODAzp07+fTTTwEoLS1Fo9E81wCFEKK6SUxMJCoqihs3brywezo6OhIVFUVUVNQLu+fDQkNDuXHjBps3b66S+z9O82m70NE3rOowhBBA9ux3qzoEIcQr4pkS2R49evDBBx/g7OzM1atXefvttwE4ceIEjRo1eq4BCiGEeHlkZ2fj5OTEiRMnaNGihXJ+wYIFyGvJhRBCCPGiPFMi+/nnn+Po6Ehubi5z5szB2NgYgLy8PIYNG/ZcAxRCiL+KRqNBpVKhoyNvIrt79y56enrPfL2ZmdlzjEYIIYQQ4vGe6f/eatasyZgxY1iwYAGenp7K+ZEjRxIWFvbcghNCvHo2bNiAm5sbBgYGWFlZERAQQFFREQDLli3D1dUVtVpNkyZN+Oqrr5Tr2rZty/jx47Xa+u2336hZsyb/+c9/ACguLmbMmDHUqVMHIyMj3njjDdLS0pT6iYmJmJubs3XrVpo2bYq+vj45OTlPvO5JEhMTqVevHoaGhnTv3p2rV6+WqbNlyxa8vLxQq9U0aNCAmJgY/vjjD6X8xo0bDBkyBBsbG9RqNc2bN+e7775Tyg8cOEC7du0wMDDAwcGByMhI5bmV58aNG4SFhWFtbY2pqSkdO3bk5MmTSnl0dDQtWrRg2bJlODk5oVarAdi5cyd+fn6Ym5tjZWVF165duXjxonKdk5MTAJ6enqhUKvz9/YH7U4uDg4OVesXFxURGRlK7dm3UajV+fn4cPXpUKU9LS0OlUrFnzx68vb0xNDSkbdu2ZGVlKXVOnjxJhw4dMDExwdTUlJYtW/L9999X2Ofi4mIKCgq0PkIIIYR4NT3zMMSqVavw8/PD3t6e//u//wMgPj6eLVu2PLfghBCvlry8PPr06cNHH31EZmYmaWlp9OjRg9LSUlavXs3UqVOZOXMmmZmZzJo1iylTprBixQoA+vbty9q1a7Wmr65btw57e3vatWsHQEREBIcOHWLt2rX88MMP9OrViy5duvDjjz8q19y+fZvPPvuMZcuWcebMGWrXrl2p6ypy+PBhPv74YyIiIsjIyKBDhw7KvgEP7N+/n/79+zNixAjOnj3LkiVLSExMZObMmQCUlJTw9ttvk56eztdff83Zs2eZPXs2urq6AFy8eJEuXbrw3nvv8cMPP7Bu3ToOHDhAREREhXH16tWL/Px8duzYwbFjx/Dy8qJTp05cu3ZNqXPhwgU2btzIpk2byMjIAKCoqIhRo0bx/fffs2fPHnR0dOjevTslJSUAHDlyBIDU1FTy8vLYtGlTufcfN24cGzduZMWKFRw/fpxGjRoRGBiodX+ASZMmERcXx/fff0+NGjX46KOPlLK+fftSt25djh49yrFjx5gwYQI1a9assM+xsbGYmZkpnwebEgohhBDi1aMqfYZFTYsWLWLq1KlERUUxc+ZMTp8+TYMGDUhMTGTFihXs3bv3r4hVCFHNHT9+nJYtW5KdnU39+vW1yho1asSMGTPo06ePcu7TTz9l+/btHDx4kN9++w17e3v+/e9/K4lr27ZtefPNN5k9ezY5OTk0aNCAnJwc7O3tlTYCAgJo1aoVs2bNIjExkYEDB5KRkaG877oy1z3OBx98wM2bN0lOTlbOvf/+++zcuVPZ7CkgIIBOnToxceJEpc7XX3/NuHHj+PXXX9m9ezdvv/02mZmZNG7cuMw9wsLC0NXVZcmSJcq5AwcO0L59e4qKilCr1VqbPR04cIB3332X/Px89PX1tZ7xuHHjGDx4MNHR0cyaNYtffvkFa2vrCvv3v//9D2tra06dOkXz5s0rXCP78GZPRUVFWFhYkJiYyAcffADAvXv3lBjHjh1LWloaHTp0IDU1lU6dOgGwfft23n33Xe7cuYNarcbU1JQvv/ySAQMGPPY7eKC4uJji4mLluKCgAAcHBxyi1stmT0K8JGSzJyHEkxQUFGBmZsbNmzcxNTWtsN4zrZH98ssvSUhIIDg4mNmzZyvnvb29GTNmzLM0KYR4DXh4eNCpUyfc3NwIDAzkrbfeomfPnujp6XHx4kU+/vhjBg0apNT/448/lLWX1tbWvPXWW6xevZp27dpx6dIlDh06pCR3p06dQqPRlEkEi4uLsbKyUo719PRwd3dXjit7XUUyMzPp3r271rk2bdqwc+dO5fjkyZOkp6crI7Bwf33u77//zu3bt8nIyKBu3brlJrEPrv/hhx9YvXq1cq60tJSSkhIuXbqEq6trmfqFhYVl4r9z547WNOH69euXSWJ//PFHpk6dyuHDh/nf//6njMTm5OTQvHnzJz4PuD+CfO/ePXx9fZVzNWvWpFWrVmRmZmrVffi7sLOzAyA/P5969eoxatQowsLCWLVqFQEBAfTq1YuGDRtWeF99fX2txF0IIYQQr65nSmQvXbqktTb2AX19/ceu2RJCvN50dXVJSUnh4MGD7N69my+//JJJkyaxbds2ABISEsq8i/rB9Fq4P9U0MjKSL7/8kjVr1uDm5oabmxsAhYWF6OrqcuzYMa1rAGVDOgADAwNUKpVyXNnr/ozCwkJiYmLo0aNHmTK1Wo2BgcETrx8yZAiRkZFlyurVq1dufTs7u3LX+Zqbmyv/bWRkVKY8KCiI+vXrk5CQgL29PSUlJTRv3py7d+8+NsZn9fBU4Qffy4PkOTo6mg8++IDk5GR27NjBtGnTWLt2bZlfHAghhBDi9fNMiayTkxMZGRllpgbu3LmzzMiAEEI8TKVS4evri6+vL1OnTqV+/fqkp6djb2/PTz/9RN++fSu8tlu3bgwePJidO3eyZs0a+vfvr5R5enqi0WjIz89Xph5XxrNe94CrqyuHDx/WOvff//5X69jLy4usrKwKX0/m7u7Ozz//zPnz58sdlfXy8uLs2bOVfr2Zl5cXly9fpkaNGjg6OlauI8DVq1fJysoiISFBeRYHDhzQqvNgZ+PHvTO8YcOG6OnpkZ6ervycuHfvHkePHn3q99w2btyYxo0bM3LkSPr06cPy5cslkRVCCCHEsyWyo0aN4pNPPuH333+ntLSUI0eO8M033xAbG8uyZcued4xCiFfE4cOH2bNnD2+99Ra1a9fm8OHD/Pbbb7i6uhITE0NkZCRmZmZ06dKF4uJivv/+e65fv86oUaOA+yOIwcHBTJkyhczMTK31tI0bN6Zv377079+fuLg4PD09+e2339izZw/u7u68+27567Ke9boHIiMj8fX1Zd68eXTr1o1du3ZpTSsGmDp1Kl27dqVevXr07NkTHR0dTp48yenTp/n0009p3749b775Ju+99x7z58+nUaNGnDt3DpVKRZcuXRg/fjytW7cmIiKCsLAwjIyMOHv2LCkpKSxcuLBMTAEBAbRp04bg4GDmzJlD48aN+fXXX0lOTqZ79+54e3uX2xcLCwusrKxYunQpdnZ25OTkMGHCBK06tWvXxsDAgJ07d1K3bl3UanWZV+8YGRkxdOhQxo4di6WlJfXq1WPOnDncvn2bjz/++LHP84E7d+4wduxYevbsiZOTEz///DNHjx7lvffeq9T1DzsdE/jYNTZCCCGEqIZKn9HXX39d2qhRo1KVSlWqUqlK69SpU7ps2bJnbU4I8Ro4e/ZsaWBgYKm1tXWpvr5+aePGjUu//PJLpXz16tWlLVq0KNXT0yu1sLAoffPNN0s3bdqk1cb27dtLgdI333yzTPt3794tnTp1aqmjo2NpzZo1S+3s7Eq7d+9e+sMPP5SWlpaWLl++vNTMzOypr3uSf/7zn6V169YtNTAwKA0KCiqdN29emfvs3LmztG3btqUGBgalpqampa1atSpdunSpUn716tXSgQMHllpZWZWq1erS5s2bl3733XdK+ZEjR0o7d+5camxsXGpkZFTq7u5eOnPmTKW8fv36pZ9//rlyXFBQUDp8+PBSe3v70po1a5Y6ODiU9u3btzQnJ6e0tLS0dNq0aaUeHh5l+pKSklLq6upaqq+vX+ru7l6alpZWCpQmJSUpdRISEkodHBxKdXR0Stu3b19aWlpaOmDAgNJu3bopde7cuVM6fPjw0lq1apXq6+uX+vr6lh45ckQp37t3bylQev36deXciRMnSoHSS5culRYXF5e+//77pQ4ODqV6enql9vb2pREREaV37typxDdy382bN0uB0ps3b1b6GiGEEEJUrcr+/H7qXYv/+OMP1qxZQ2BgIDY2Nty+fZvCwkJq1679/LNsIYQQ4hlVdtdDIYQQQrw8Kvvz+6nfI1ujRg3Cw8P5/fffATA0NJQkVgghhBBCCCHEC/PUiSxAq1atOHHixPOORQghXjpvv/02xsbG5X6e9I5ZIYQQQgjx13imzZ6GDRvG6NGj+fnnn2nZsmWZVzg8/F5AIYSozpYtW8adO3fKLbO0tHzB0QghhBBCCICnXiMLoKNTdiBXpVJRWlqKSqV67GsZhBBCiBdB1sgKIYQQ1U9lf34/04jspUuXnjkwIYQQQgghhBDiz3imRPbBC+6FEOJV4u/vT4sWLYiPjy+3XKVSkZSURHBw8AuNSwghhBBCaHumRHblypWPLe/fv/8zBSOEEC+zvLw8LCwsKlVXkt6XR/Npu9DRN6zqMIR4bWXPfreqQxBCvIKeKZEdMWKE1vG9e/e4ffs2enp6GBoaSiIrhHgl2draVnUI5bp37x41a9as6jCEEEIIIV6YZ3r9zvXr17U+hYWFZGVl4efnxzfffPO8YxRCiBempKSEcePGYWlpia2tLdHR0UqZSqVi8+bNANy9e5eIiAjs7OxQq9XUr1+f2NhYABwdHQHo3r07KpVKOQZYtGgRDRs2RE9PDxcXF1atWqV1/3PnzuHn54daraZp06akpqZq3Tc7OxuVSsW6deto3749arWa1atXc/XqVfr06UOdOnUwNDTEzc2tzL/H/v7+DB8+nKioKCwsLLCxsSEhIYGioiIGDhyIiYkJjRo1YseOHZV6VmlpaahUKnbt2oWnpycGBgZ07NiR/Px8duzYgaurK6ampnzwwQfcvn1buW7nzp34+flhbm6OlZUVXbt25eLFi0r5ypUrMTY25scff1TODRs2jCZNmmi1I4QQQojX1zMlsuVxdnZm9uzZZUZrhRCiOlmxYgVGRkYcPnyYOXPmMH36dFJSUsrU++KLL9i6dSvr168nKyuL1atXKwnr0aNHAVi+fDl5eXnKcVJSEiNGjGD06NGcPn2aIUOGMHDgQPbu3QuARqMhODgYQ0NDDh8+zNKlS5k0aVK5cU6YMIERI0aQmZlJYGAgv//+Oy1btiQ5OZnTp08zePBg+vXrx5EjR8r0r1atWhw5coThw4czdOhQevXqRdu2bTl+/DhvvfUW/fr1e6qEMTo6moULF3Lw4EFyc3MJCQkhPj6eNWvWkJyczO7du/nyyy+V+kVFRYwaNYrvv/+ePXv2oKOjQ/fu3SkpKQHuL09555136Nu3L3/88QfJycksW7aM1atXY2hY8RTh4uJiCgoKtD5CCCGEeDU90+t3KpKRkcGbb74p//MghKiW/P390Wg07N+/XznXqlUrOnbsyOzZs7XWvUZGRnLmzBllxPRR5a2R9fX1pVmzZixdulQ5FxISQlFREcnJyezcuZOgoCByc3OVacypqal07txZaSs7OxsnJyfi4+Of+IvDrl270qRJE+bNm1du/zQaDWZmZvTo0UPZ++Dy5cvY2dlx6NAhWrdu/dj209LS6NChA6mpqXTq1AmA2bNnM3HiRC5evEiDBg0ACA8PJzs7m507d5bbzv/+9z+sra05deoUzZs3B+7P/HF3dycoKIhNmzYRGRnJ3//+98fGEx0dTUxMTJnzDlHrZY2sEFVI1sgKIZ7GX/r6na1bt2odl5aWkpeXx8KFC/H19X2WJoUQ4qXg7u6udWxnZ0d+fn6ZeqGhoXTu3BkXFxe6dOlC165deeuttx7bdmZmJoMHD9Y65+vry4IFCwDIysrCwcFBay1uq1atym3L29tb61ij0TBr1izWr1/PL7/8wt27dykuLi4zgvlw/3R1dbGyssLNzU05Z2NjA1BunyvycJs2NjYYGhoqSeyDcw+PDP/4449MnTqVw4cP87///U8Zic3JyVESWQsLC/75z38SGBhI27ZtmTBhwhPjmDhxIqNGjVKOCwoKcHBwqHQ/hBBCCFF9PFMi++gunCqVCmtrazp27EhcXNzziEsIIarEo5smqVQqJdF6mJeXF5cuXWLHjh2kpqYSEhJCQEAAGzZseCFxGhkZaR3PnTuXBQsWEB8fj5ubG0ZGRkRFRXH37l2teuX17+FzD0aXy+tzRR69/knPMCgoiPr165OQkIC9vT0lJSU0b968TKz/+c9/0NXVJS8vj6KiIkxMTB4bh76+Pvr6+pWOWwghhBDV1zOtkS0pKdH6aDQaLl++zJo1a7Czs3veMQohxEvJ1NSU3r17k5CQwLp169i4cSPXrl0D7id3Go1Gq76rqyvp6ela59LT02natCkALi4u5ObmcuXKFaX8wfraJ0lPT6dbt258+OGHeHh40KBBA86fP/9nuveXuHr1KllZWUyePJlOnTrh6urK9evXy9Q7ePAgn332Gdu2bcPY2JiIiIgqiFYIIYQQL6tnGpGdPn06Y8aMKTNl7c6dO8ydO5epU6c+l+CEEOJlNX/+fOzs7PD09ERHR4dvv/0WW1tbzM3Ngfs7F+/ZswdfX1/09fWxsLBg7NixhISE4OnpSUBAANu2bWPTpk2kpqYC0LlzZxo2bMiAAQOYM2cOt27dYvLkyQDlrsN9mLOzMxs2bODgwYNYWFgwf/58rly5oiTJLwsLCwusrKxYunQpdnZ25OTklJk2fOvWLfr160dkZCRvv/02devWxcfHh6CgIHr27PnU9zwdE/jYNTZCCCGEqH6eaUQ2JiaGwsLCMudv375d7kYbQgjxqjExMWHOnDl4e3vj4+NDdnY227dvR0fn/j+rcXFxpKSk4ODggKenJ3B/WcaCBQuYN28ezZo1Y8mSJSxfvhx/f3/g/prVzZs3U1hYiI+PD2FhYcquxWq1+rHxTJ48GS8vLwIDA/H398fW1rbMMpCXgY6ODmvXruXYsWM0b96ckSNHMnfuXK06I0aMwMjIiFmzZgHg5ubGrFmzGDJkCL/88ktVhC2EEEKIl8wz7Vqso6PDlStXsLa21jr/73//m969e/Pbb789twCFEOJ1lp6ejp+fHxcuXKBhw4ZVHU61UtldD4UQQgjx8vhLdi22sLBApVKhUqlo3Lix1lQ3jUZDYWEh4eHhzx61EEK85pKSkjA2NsbZ2ZkLFy4wYsQIfH19JYkVQgghhHjIUyWy8fHxlJaW8tFHHxETE4OZmZlSpqenh6OjI23atHnuQQohxOvi1q1bjB8/npycHGrVqkVAQECV7QYfHh7O119/XW7Zhx9+yOLFi19wREIIIYQQ9z3T1OJ9+/bRtm3bMq9YEEII8erIz8+noKCg3DJTU1Nq1679giN6OjK1WAghhKh+/pKpxQ+0b99e+e/ff/+9zLv/5H8YhBCi+qtdu/ZLn6wKIYQQ4vX0TLsW3759m4iICGrXro2RkREWFhZaHyGEEEIIIYQQ4q/yTIns2LFj+fe//82iRYvQ19dn2bJlxMTEYG9vz8qVK593jEIIIYQQQgghhOKZ1sjWq1ePlStX4u/vj6mpKcePH6dRo0asWrWKb775hu3bt/8VsQohxAvl7+9PixYtiI+PL7dcpVKRlJT0Ur6vtTp50nN+Vg/W2DhErUdH3/C5ti2EqJzs2e9WdQhCiGrmL10je+3aNRo0aADcXw977do1APz8/Bg6dOizNCmEENVOXl5epZdTSNJbsU2bNsnmgUIIIYR4Ks80tbhBgwZcunQJgCZNmrB+/XoAtm3bhrm5+XMLTgghXma2trbo6+tXdRhl3Lt3r6pDeCqWlpaYmJhUdRhCCCGEqEaeKZEdOHAgJ0+eBGDChAn84x//QK1WM3LkSMaOHftcAxRCiKpUUlLCuHHjsLS0xNbWlujoaKVMpVKxefNmAO7evUtERAR2dnao1Wrq169PbGwsAI6OjgB0794dlUqlHAMsWrSIhg0boqenh4uLC6tWrdK6/7lz5/Dz80OtVtO0aVNSU1O17pudnY1KpWLdunW0b98etVrN6tWruXr1Kn369KFOnToYGhri5ubGN998o9W2v78/w4cPJyoqCgsLC2xsbEhISKCoqIiBAwdiYmJCo0aN2LFjR6WeVVpaGiqVil27duHp6YmBgQEdO3YkPz+fHTt24OrqiqmpKR988AG3b9/WiiMqKko5dnR0ZNasWXz00UeYmJhQr149li5dWqkYhBBCCPF6eKZEduTIkURGRgIQEBDAuXPnWLNmDSdOnGDEiBHPNUAhhKhKK1aswMjIiMOHDzNnzhymT59OSkpKmXpffPEFW7duZf369WRlZbF69WolYT169CgAy5cvJy8vTzlOSkpixIgRjB49mtOnTzNkyBAGDhzI3r17AdBoNAQHB2NoaMjhw4dZunQpkyZNKjfOCRMmMGLECDIzMwkMDOT333+nZcuWJCcnc/r0aQYPHky/fv04cuRImf7VqlWLI0eOMHz4cIYOHUqvXr1o27Ytx48f56233qJfv35aieeTREdHs3DhQg4ePEhubi4hISHEx8ezZs0akpOT2b17N19++eVj24iLi8Pb25sTJ04wbNgwhg4dSlZW1mOvKS4upqCgQOsjhBBCiFfTM2329LDff/8dtVr9vOIRQoiXhr+/PxqNhv379yvnWrVqRceOHZk9e7bWutfIyEjOnDmjjJg+qrw1sr6+vjRr1kxrtDEkJISioiKSk5PZuXMnQUFB5ObmYmtrC0BqaiqdO3dW2srOzsbJyYn4+Pgn/iKxa9euNGnShHnz5pXbP41Gg5mZGT169FB2oL98+TJ2dnYcOnSI1q1bP7b9tLQ0OnToQGpqKp06dQJg9uzZTJw4kYsXLyp7K4SHh5Odnc3OnTuVOB7e7MnR0ZF27dopo9OlpaXY2toSExNDeHh4hfePjo4mJiamzHnZ7EmIqiObPQkhnlZlN3t6phFZjUbDjBkzqFOnDsbGxvz0008ATJkyhX/+85/PFrEQQryE3N3dtY7t7OzIz88vUy80NJSMjAxcXFyIjIxk9+7dT2w7MzMTX19frXO+vr5kZmYCkJWVhYODg5LEwv1Eujze3t5axw/+nXZzc8PS0hJjY2N27dpFTk5Ohf3T1dXFysoKNzc35ZyNjQ1AuX2uyMNt2tjYYGhoqCSxD849qb2H21CpVNja2j7xmokTJ3Lz5k3lk5ubW+mYhRBCCFG9PFMiO3PmTBITE5kzZw56enrK+ebNm7Ns2bLnFpwQQlS1R3fTValUlJSUlKnn5eXFpUuXmDFjBnfu3CEkJISePXu+qDAxMjLSOp47dy4LFixg/Pjx7N27l4yMDAIDA7l7965WvfL69/C5B6PL5fW5Io9eX9ln+KS4nnSNvr4+pqamWh8hhBBCvJqeKZFduXIlS5cupW/fvujq6irnPTw8OHfu3HMLTgghqhNTU1N69+5NQkIC69atY+PGjcrryWrWrIlGo9Gq7+rqSnp6uta59PR0mjZtCoCLiwu5ublcuXJFKX+wvvZJ0tPT6datGx9++CEeHh40aNCA8+fP/5nuCSGEEEK8NJ7pPbK//PILjRo1KnO+pKSk2r32QQghnof58+djZ2eHp6cnOjo6fPvtt9ja2iqvJHN0dGTPnj34+vqir6+PhYUFY8eOJSQkBE9PTwICAti2bRubNm0iNTUVgM6dO9OwYUMGDBjAnDlzuHXrFpMnTwYodx3uw5ydndmwYQMHDx7EwsKC+fPnc+XKFSVJfp2cjgmU0VkhhBDiFfNMI7JNmzbV2vzkgQ0bNuDp6fmngxJCiOrGxMSEOXPm4O3tjY+PD9nZ2Wzfvh0dnfv/zMbFxZGSkoKDg4Py72RwcDALFixg3rx5NGvWjCVLlrB8+XL8/f2B+2tWN2/eTGFhIT4+PoSFhSm7Fj9pk73Jkyfj5eVFYGAg/v7+2Nraam00JYQQQghRnT3TrsVbtmxhwIABTJw4kenTpxMTE0NWVhYrV67ku+++o3Pnzn9FrEII8dpLT0/Hz8+PCxcu0LBhw6oO56VW2V0PhRBCCPHy+Et2Lf7pp58oLS2lW7dubNu2jdTUVIyMjJg6dSqZmZls27ZNklghhHiOkpKSSElJITs7m9TUVAYPHoyvr68ksUIIIYR4rT3VGllnZ2fy8vKoXbs27dq1w9LSklOnTimvZxBCCPF83bp1i/Hjx5OTk0OtWrUICAggLi6uSmIJDw/n66+/Lrfsww8/ZPHixS84IiGEEEK8rp5qarGOjg6XL1+mdu3awP0dOjMyMrTeDyiEEOLVlJ+fT0FBQbllpqamys+Gl4VMLRZCCCGqn8r+/H6mXYsfeIbltUIIIaqp2rVrv3TJqhBCCCFeT0+1RlalUpV55cOTXgEhhBBCCCGEEEI8T081IltaWkpoaCj6+voA/P7774SHh2NkZKRVb9OmTc8vQiGEEEIIIYQQ4iFPlcgOGDBA6/jDDz98rsEIIaonR0dHoqKiiIqKqupQnovQ0FBu3LjB5s2bn+l6f39/WrRoQXx8/HONqyJpaWl06NCB69evY25u/kLu+SiVSkVSUtJL+a7a5tN2oaNvWNVhCPFayZ79blWHIIR4xT1VIrt8+fK/Kg4hhBDVQHR0NJs3byYjI0PrfF5eHhYWFlUTlBBCCCFeO0+1RlYI8Xq5e/duVYcgXpA/+13b2toqy06EEEIIIf5qksgK8Rrx9/cnIiKCiIgIzMzMqFWrFlOmTFF2IHd0dGTGjBn0798fU1NTBg8eDMDGjRtp1qwZ+vr6ODo6PvE9pjk5OXTr1g1jY2NMTU0JCQnhypUrSnl0dDQtWrRg1apVODo6YmZmxvvvv8+tW7eUOrdu3aJv374YGRlhZ2fH559/jr+/v9b0ZZVKVWb6r7m5OYmJicpxbm4uISEhmJubY2lpSbdu3cjOzlbKNRoNo0aNwtzcHCsrK8aNG/dUO7IXFRXRv39/jI2NsbOzK/fZFBcXM2bMGOrUqYORkRFvvPEGaWlpWnXS09Px9/fH0NAQCwsLAgMDuX79OgAlJSXExsbi5OSEgYEBHh4ebNiw4bFxHThwgHbt2mFgYICDgwORkZEUFRUp5RV91+PHj6dx48YYGhrSoEEDpkyZwr179wBITEwkJiaGkydPKpv/PXjWj34Xp06domPHjhgYGGBlZcXgwYMpLCxUykNDQwkODmbevHnY2dlhZWXFJ598otwL4KuvvsLZ2Rm1Wo2NjQ09e/Z8bJ+Li4spKCjQ+gghhBDi1SSJrBCvmRUrVlCjRg2OHDnCggULmD9/PsuWLVPK582bh4eHBydOnGDKlCkcO3aMkJAQ3n//fU6dOkV0dDRTpkzRShYfVlJSQrdu3bh27Rr79u0jJSWFn376id69e2vVu3jxIps3b+a7777ju+++Y9++fcyePVspHzVqFOnp6WzdupWUlBT279/P8ePHn6qv9+7dIzAwEBMTE/bv3096ejrGxsZ06dJFGYGMi4sjMTGRf/3rXxw4cIBr166RlJRU6XuMHTuWffv2sWXLFnbv3k1aWlqZOCMiIjh06BBr167lhx9+oFevXnTp0oUff/wRgIyMDDp16kTTpk05dOgQBw4cICgoCI1GA0BsbCwrV65k8eLFnDlzhpEjR/Lhhx+yb9++cmO6ePEiXbp04b333uOHH35g3bp1HDhwgIiICK16j37XACYmJiQmJnL27FkWLFhAQkICn3/+OQC9e/dm9OjRNGvWjLy8PPLy8sp8r3A/uQ8MDMTCwoKjR4/y7bffkpqaWub+e/fu5eLFi+zdu5cVK1aQmJio/Ln6/vvviYyMZPr06WRlZbFz507efPPNx34XsbGxmJmZKR8HB4fH1hdCCCFE9aUqlZfBCvHa8Pf3Jz8/nzNnziivzpowYQJbt27l7NmzODo64unpqZXI9e3bl99++43du3cr58aNG0dycjJnzpwBtDd7SklJ4e233+bSpUtKInH27FmaNWvGkSNH8PHxITo6mrlz53L58mVMTEyUNv/zn//w3//+l1u3bmFlZcWaNWuUUbibN29ib2/PoEGDlE2UyttgyNzcnPj4eEJDQ/n666/59NNPyczMVPp79+5dzM3N2bx5M2+99Rb29vaMHDmSsWPHAvDHH3/g5OREy5Ytn7jZU2FhIVZWVnz99df06tULgGvXrlG3bl0GDx5MfHw8OTk5NGjQgJycHOzt7ZVrAwICaNWqFbNmzeKDDz4gJyeHAwcOlLlHcXExlpaWpKam0qZNG+V8WFgYt2/fZs2aNWU2ewoLC0NXV5clS5Yo9Q8cOED79u0pKipCrVaX+12XZ968eaz9/9q777Aqjvfx++8DSu+ogIhiQQREBCuiERXFGjFRLATBWGPvmm80tiTYsKUYS4JiUDS2GDEWiBBFY8dYsEaEJETzsSFihfP8wcP+PFIELIDer+s6l+zO7Mw9u+d4GGZ2NjKSo0ePAvnfI/v0tVixYgWTJk0iJSVFWdV+x44ddOnShX/++QcrKyuCg4OJjY3l8uXLaGtrA+Dv74+WlhaRkZFs3ryZfv368ddffynvked5+PAhDx8+VLbT0tKws7PDbvQGWexJiNdMFnsSQhRXWloapqam3LlzBxMTk3zzFWmxJyFE2de0aVON5z97enoSGhqqjP41bNhQI39iYiJdu3bV2Ofl5cWiRYvIzMxUOiFP57ezs9MYDXN2dsbMzIzExEQaNWoEZHd+n+6g2NjYcP36dQD+/PNPHj9+TOPGjZV0U1NTHB0di9TWkydPcunSpVwdoQcPHnD58mXu3LlDamoqTZo0UdLKlStHw4YNCzW9+PLlyzx69EjjeAsLC404T506RWZmJrVr19Y49uHDh1haWgLZI7I5HeFnXbp0iYyMDNq2baux/9GjR7i7u+fb7j/++IOIiAhln1qtJisriytXruDk5ATkvtYA69evZ8mSJVy+fJn09HSePHlS4JdIXhITE3Fzc9N4NJuXlxdZWVmcP38eKysrAFxcXDTePzY2Npw6dQqAtm3bUq1aNWrUqEH79u1p37493bp1w8Ag/w6prq6u3KcrhBBCvCWkIyuE0PDsc6FflfLly2tsq1QqsrKyilSGSqXK1eF8+h7L9PR0GjRooNGhy1GxYsUi1VVc6enpaGtrc+zYsVydfiMjIwD09fULPB4gKioKW1tbjbT8Om3p6ekMHjyYkSNH5kqrWrWq8vOz1/rgwYMEBAQwY8YMfH19MTU1JTIy8rn3RBdXQe8BY2Njjh8/TmxsLLt37+bTTz9l+vTpHDlypMQeMSSEEEKI0kPukRXiLXPo0CGN7d9//x0HB4dcnawcTk5OxMfHa+yLj4+ndu3aeR7j5ORESkoKKSkpyr6zZ89y+/ZtnJ2dCxVjjRo1KF++PEeOHFH23blzhwsXLmjkq1ixIqmpqcr2xYsXycjIULY9PDy4ePEilSpVolatWhqvnPsobWxsNM7JkydPOHbsWKHirFmzJuXLl9c4/tatWxpxuru7k5mZyfXr13PFYG1tDUC9evWIiYnJsw5nZ2d0dXVJTk7OdXx+94B6eHhw9uzZXPlr1aqFjo5Ovu05cOAA1apV45NPPqFhw4Y4ODhw9epVjTw6OjrK6H1+nJycOHnypMbiUvHx8WhpaRVpVL1cuXL4+Pgwd+5c/vjjD5KSkvj1118LfbwQQggh3lwyIivEWyY5OZmxY8cyePBgjh8/zpdfflngiNu4ceNo1KgRs2bNomfPnhw8eJCvvvqKb775Js/8Pj4+uLq6EhAQwKJFi3jy5AlDhw6lZcuWeU5lzYuxsTFBQUFMmDABCwsLKlWqxLRp09DS0tKYFt26dWu++uorPD09yczMZNKkSRqjfAEBAcybN4+uXbsyc+ZMqlSpwtWrV9m8eTMTJ06kSpUqjBo1itmzZ+Pg4ECdOnVYsGABt2/fLlScRkZG9O/fnwkTJmBpaUmlSpX45JNP0NL6f38jrF27NgEBAfTt25fQ0FDc3d3577//iImJoV69enTq1ImPP/4YV1dXhg4dypAhQ9DR0WHv3r306NGDChUqMH78eMaMGUNWVhbNmzfnzp07xMfHY2JiQlBQUK64Jk2aRNOmTRk+fDgDBgzA0NCQs2fPsmfPHr766qt82+Pg4EBycjKRkZE0atSIqKioXPfQ2tvbc+XKFRISEqhSpQrGxsa5RoYDAgKYNm0aQUFBTJ8+nf/++48RI0YQGBioTCt+nu3bt/Pnn3/yzjvvYG5uzo4dO8jKyiry9HKA0zN8izw9WgghhBClm4zICvGW6du3L/fv36dx48YMGzaMUaNGKY9eyYuHhwcbNmwgMjKSunXr8umnnzJz5kyCg4PzzK9Sqfjpp58wNzfnnXfewcfHhxo1arB+/foixblgwQI8PT3p3LkzPj4+eHl54eTkhJ6enpInNDQUOzs7WrRoQZ8+fRg/frzGPZQGBgb89ttvVK1alffeew8nJyf69+/PgwcPlI7NuHHjCAwMJCgoCE9PT4yNjenWrVuh45w3bx4tWrSgS5cu+Pj40Lx5cxo0aKCRJywsjL59+zJu3DgcHR3x8/PjyJEjyjTf2rVrs3v3bk6ePEnjxo3x9PTkp59+oly57L81zpo1i6lTpxISEoKTkxPt27cnKiqK6tWr5xlTvXr1iIuL48KFC7Ro0QJ3d3c+/fRTjcWm8vLuu+8yZswYhg8fTv369Tlw4ICymnGO999/n/bt29OqVSsqVqzIunXrcpVjYGDArl27uHnzJo0aNaJ79+60adOmwE70s8zMzNi8eTOtW7fGycmJb7/9lnXr1uHi4lLoMoQQQgjx5pJVi4V4i3h7e1O/fn1l1d+y5N69e9ja2hIaGkr//v1LOhxRBhR21UMhhBBClB6yarEQokw7ceIE586do3Hjxty5c4eZM2cC5FpBWQghhBBCvH2kIyuEKLXmz5/P+fPn0dHRoUGDBuzbt48KFSq8tvqTk5MLXKDq7NmzGqsACyGEEEKI10OmFgshRD6ePHlCUlJSvun29vbKfayi9JGpxUIIIUTZI1OLhRDiBZUrV45atWqVdBhCCCGEEOIZsmqxEEIIIYQQQogyRUZkhRCl0vNWWFapVGzZsgU/P7/XGtfbKDg4mNu3b7N169aSDqVY6k7bhZauwfMzCiFemqTZnUo6BCHEG046skKIMik1NRVzc/NC5ZVO74tZvHgxspyCEEIIIUoT6cgKIcoka2vrkg4hT48fP6Z8+fIlHcZLkZmZiUqlwtTUtKRDEUIIIYTQIPfICiFKraysLCZOnIiFhQXW1tZMnz5dSVOpVMpU10ePHjF8+HBsbGzQ09OjWrVqhISEANkrCwN069YNlUqlbAMsXbqUmjVroqOjg6OjI2vWrNGo/9y5czRv3hw9PT2cnZ2Jjo7WqDcpKQmVSsX69etp2bIlenp6REREcOPGDXr37o2trS0GBga4urqybt06jbK9vb0ZMWIEo0ePxtzcHCsrK1asWMG9e/fo168fxsbG1KpVi19++aVQ56lKlSosXbpUY/+JEyfQ0tLi6tWrACxYsABXV1cMDQ2xs7Nj6NChpKenK/lXrVqFmZkZ27Ztw9nZGV1dXZKTkwkODtYYzd65cyfNmzfHzMwMS0tLOnfuzOXLl5X0nPOyefNmWrVqhYGBAW5ubhw8eFAjvvj4eLy9vTEwMMDc3BxfX19u3bqltCkkJITq1aujr6+Pm5sbGzdufO65EEIIIcTbQTqyQohSa/Xq1RgaGnLo0CHmzp3LzJkz2bNnT658S5YsYdu2bWzYsIHz588TERGhdFiPHDkCQFhYGKmpqcr2li1bGDVqFOPGjeP06dMMHjyYfv36sXfvXiB7NNLPzw8DAwMOHTrE8uXL+eSTT/KMc/LkyYwaNYrExER8fX158OABDRo0ICoqitOnTzNo0CACAwM5fPhwrvZVqFCBw4cPM2LECD766CN69OhBs2bNOH78OO3atSMwMJCMjIwCz5OWlha9e/dm7dq1GvsjIiLw8vKiWrVqSr4lS5Zw5swZVq9eza+//srEiRM1jsnIyGDOnDmsXLmSM2fOUKlSpVz13bt3j7Fjx3L06FFiYmLQ0tKiW7duZGVlaeT75JNPGD9+PAkJCdSuXZvevXvz5MkTABISEmjTpg3Ozs4cPHiQ/fv306VLFzIzMwEICQkhPDycb7/9ljNnzjBmzBg++OAD4uLi8j0PDx8+JC0tTeMlhBBCiDeTPEdWCFEqeXt7k5mZyb59+5R9jRs3pnXr1syePVvjvteRI0dy5swZZcT0WXndI+vl5YWLiwvLly9X9vn7+3Pv3j2ioqLYuXMnXbp0ISUlRZnGHB0dTdu2bZWykpKSqF69OosWLWLUqFEFtqdz587UqVOH+fPn59m+zMxMTE1Nee+99wgPDwfg33//xcbGhoMHD9K0adMCy09ISMDDw4OkpCSqVq1KVlYWVatWZcqUKQwZMiTPYzZu3MiQIUP43//+B2SPyPbr14+EhATc3NyUfM9b7Ol///sfFStW5NSpU9StW1c5LytXrqR///4AnD17FhcXFxITE6lTpw59+vQhOTmZ/fv35yrv4cOHWFhYEB0djaenp7J/wIABZGRk5Oqw55g+fTozZszItd9u9AZZ7EmI10wWexJCFFdhnyMrI7JCiFKrXr16Gts2NjZcv349V77g4GASEhJwdHRk5MiR7N69+7llJyYm4uXlpbHPy8uLxMREAM6fP4+dnZ3GvbiNGzfOs6yGDRtqbGdmZjJr1ixcXV2xsLDAyMiIXbt2kZycnG/7tLW1sbS0xNXVVdlnZWUFkGebn1W/fn2cnJyUTl5cXBzXr1+nR48eSp7o6GjatGmDra0txsbGBAYGcuPGDY0RXx0dnVzn/VkXL16kd+/e1KhRAxMTE2X0u6D22djYaLQlZ0Q2L5cuXSIjI4O2bdtiZGSkvMLDwzWmMD/r448/5s6dO8orJSWlwHYIIYQQouySxZ6EEKXWs4smqVSqXNNXATw8PLhy5Qq//PIL0dHR+Pv74+Pj89ruqTQ0NNTYnjdvHosXL2bRokXKPamjR4/m0aNHGvnyat/T+3JGl/Nqc14CAgJYu3YtkydPZu3atbRv3x5LS0sg+77Vzp0789FHH/H5559jYWHB/v376d+/P48ePcLAIHvEUl9fP89R7ad16dKFatWqsWLFCipXrkxWVhZ169YtsH3PtkVfXz/f8nPu242KisLW1lYjTVdXN9/jdHV1C0wXQgghxJtDRmSFEG8EExMTevbsyYoVK1i/fj2bNm3i5s2bQHaHKufeyxxOTk7Ex8dr7IuPj8fZ2RkAR0dHUlJSuHbtmpKec3/t88THx9O1a1c++OAD3NzcqFGjBhcuXHiR5hVKnz59OH36NMeOHWPjxo0EBAQoaceOHSMrK4vQ0FCaNm1K7dq1+eeff4pcx40bNzh//jxTpkyhTZs2ODk5KQs0FUW9evWIiYnJM+3phaZq1aql8bKzsytyXUIIIYR488iIrBCizFuwYAE2Nja4u7ujpaXFjz/+iLW1NWZmZkD2ysUxMTF4eXmhq6uLubk5EyZMwN/fH3d3d3x8fPj555/ZvHkz0dHRALRt25aaNWsSFBTE3LlzuXv3LlOmTAF47oilg4MDGzdu5MCBA5ibm7NgwQKuXbumdJJfFXt7e5o1a0b//v3JzMzk3XffVdJq1arF48eP+fLLL+nSpQvx8fF8++23Ra7D3NwcS0tLli9fjo2NDcnJyUyePLnI5Xz88ce4uroydOhQhgwZgo6ODnv37qVHjx5UqFCB8ePHM2bMGLKysmjevDl37twhPj4eExMTgoKCilTX6Rm+Bd5jI4QQQoiyR0ZkhRBlnrGxMXPnzqVhw4Y0atSIpKQkduzYgZZW9n9xoaGh7NmzBzs7O9zd3QHw8/Nj8eLFzJ8/HxcXF5YtW0ZYWBje3t5A9j2rW7duJT09nUaNGjFgwABl1WI9Pb0C45kyZQoeHh74+vri7e2NtbW1xkJTr1JAQAAnT56kW7duGtN33dzcWLBgAXPmzKFu3bpEREQojygqCi0tLSIjIzl27Bh169ZlzJgxzJs3r8jl1K5dm927d3Py5EkaN26Mp6cnP/30E+XKZf99ddasWUydOpWQkBCcnJxo3749UVFRVK9evch1CSGEEOLNI6sWCyFEIcXHx9O8eXMuXbpEzZo1Szoc8RyFXfVQCCGEEKVHYb+/ZWqxEELkY8uWLRgZGeHg4MClS5cYNWoUXl5e0okVQgghhChhMrVYCCHycffuXYYNG0adOnUIDg6mUaNG/PTTTyUSy5AhQzQeRfP0K7/nxAohhBBCvKlkarEQQpQB169fJy0tLc80ExMTKlWq9JojKv1karEQQghR9sjUYiGEeINUqlRJOqtCCCGEEP8/mVoshBBCCCGEEKJMkY6sEEIIIYQQQogyRaYWv4X+/fdfAgMDOXDgAOXLl+f27dtFLmP69Ols3bqVhISElx7fqxAbG0urVq24desWZmZm+eazt7dn9OjRjB49+pXEUdbOW2F5e3tTv359Fi1a9Ny8r/oci8Ir7OfiaYW51s9eY5VKxZYtW/Dz8yMpKYnq1atz4sQJ6tev/8JtKIy603ahpWvwWuoS4m2WNLtTSYcghHiLyIhsMalUKrZu3VrSYRTLwoULSU1NJSEhgQsXLjw3f15tHT9+PDExMa8owpevWbNmpKamYmpqCsCqVasK/Yu7ePPZ29sXqhP+pnn2c/GyHDlyhEGDBuWZZmdnR2pqKnXr1gWyO9MqlapYf1ATQgghxNvrjRqRzczMRKVSoaUl/fOCXL58mQYNGuDg4FDsMnIe+1FW6OjoYG1tXdJhlBj5bLwejx49QkdHp6TDKJTHjx+/ss9FxYoV803T1tZ+qz+LQgghhHg5SvS3Wm9vb4YPH87w4cMxNTWlQoUKTJ06lZwnAj18+JDx48dja2uLoaEhTZo0ITY2Vjk+Z1Rt27ZtODs7o6urS3JyMg8fPmTSpEnY2dmhq6tLrVq1+O6775TjTp8+TYcOHTAyMsLKyorAwED+97//acQ1cuRIJk6ciIWFBdbW1kyfPl1Jt7e3B6Bbt26oVCpl+/Lly3Tt2hUrKyuMjIxo1KgR0dHRGm1OTU2lU6dO6OvrU716ddauXZtrNOj27dsMGDCAihUrYmJiQuvWrTl58mShz+vSpUupWbMmOjo6ODo6smbNGo3YN23aRHh4OCqViuDg4ALLyq+t06dP15gWGBwcjJ+fH1988QVWVlaYmZkxc+ZMnjx5woQJE7CwsKBKlSqEhYVplJ+SkoK/vz9mZmZYWFjQtWtXkpKSntvG06dPo6WlxX///QfAzZs30dLSolevXkqezz77jObNmwOaoz6xsbH069ePO3fuoFKpUKlUGtc3IyODDz/8EGNjY6pWrcry5cufG0+OSZMmUbt2bQwMDKhRowZTp07l8ePHufItW7YMOzs7DAwM8Pf3586dO7nO5fz587GxscHS0pJhw4ZplHPr1i369u2Lubk5BgYGdOjQgYsXLyrp+X027O3t+eyzz+jbty9GRkZUq1aNbdu28d9//9G1a1eMjIyoV68eR48eVcq6ceMGvXv3xtbWFgMDA1xdXVm3bl2hz8nzJCcnK3WbmJjg7+/PtWvXlPSc99qaNWuwt7fH1NSUXr16cffuXSXP3bt3CQgIwNDQEBsbGxYuXIi3t3ehpi97e3tz9epVxowZo7wfcuzfv58WLVqgr6+PnZ0dI0eO5N69e0q6vb09s2bNom/fvpiYmDBo0CDl3G/fvh1HR0cMDAzo3r07GRkZrF69Gnt7e8zNzRk5ciSZmZnPje///u//aNKkSa79bm5uzJw5E8geAW3bti0VKlTA1NSUli1bcvz4cY38KpWKpUuX8u6772JoaMjnn3+eazS0sNf6yZMn+f6/nXNe8hvhTkpKQqVSkZCQQFJSEq1atQLA3Nxc+T8pPDwcS0tLHj58qHGsn58fgYGB+Z6rhw8fkpaWpvESQgghxJupxIdnVq9eTbly5Th8+DCLFy9mwYIFrFy5EoDhw4dz8OBBIiMj+eOPP+jRowft27fX+IU9IyODOXPmsHLlSs6cOUOlSpXo27cv69atY8mSJSQmJrJs2TJl9PD27du0bt0ad3d3jh49ys6dO7l27Rr+/v654jI0NOTQoUPMnTuXmTNnsmfPHiD7l0aAsLAwUlNTle309HQ6duxITEwMJ06coH379nTp0oXk5GSl3L59+/LPP/8QGxvLpk2bWL58OdevX9eou0ePHly/fp1ffvmFY8eO4eHhQZs2bbh58+Zzz+eWLVsYNWoU48aN4/Tp0wwePJh+/fqxd+9eJfb27dvj7+9PamoqixcvLrC8/Nqal19//ZV//vmH3377jQULFjBt2jQ6d+6Mubk5hw4dYsiQIQwePJi//voLyB4R8vX1xdjYmH379hEfH4+RkRHt27fn0aNHBcbl4uKCpaUlcXFxAOzbt09jGyAuLg5vb+9cxzZr1oxFixZhYmJCamoqqampjB8/XkkPDQ2lYcOGnDhxgqFDh/LRRx9x/vz5AuPJYWxszKpVqzh79iyLFy9mxYoVLFy4UCPPpUuX2LBhAz///DM7d+5U6nna3r17uXz5Mnv37mX16tWsWrWKVatWKenBwcEcPXqUbdu2cfDgQdRqNR07dtTo7Ob12YDsqeVeXl6cOHGCTp06ERgYSN++ffnggw84fvw4NWvWpG/fvkrH5MGDBzRo0ICoqChOnz7NoEGDCAwM5PDhw4U6JwXJysqia9eu3Lx5k7i4OPbs2cOff/5Jz549NfJdvnyZrVu3sn37drZv305cXByzZ89W0seOHUt8fDzbtm1jz5497Nu3L1dHLj+bN2+mSpUqzJw5U3k/5NTZvn173n//ff744w/Wr1/P/v37GT58uMbx8+fPx83NjRMnTjB16lQg+9wvWbKEyMhIdu7cSWxsLN26dWPHjh3s2LGDNWvWsGzZMjZu3Pjc+AICAjh8+DCXL19W9p05c4Y//viDPn36ANkd+aCgIPbv38/vv/+Og4MDHTt21OjsQ/YfBbp168apU6f48MMPc9VV2Gtd0P/bRWFnZ8emTZsAOH/+vPJ/Uo8ePcjMzGTbtm1K3uvXrxMVFZVn3DlCQkIwNTVVXnZ2dkWOSQghhBBlQ4lPLbazs2PhwoWoVCocHR05deoUCxcuxNfXl7CwMJKTk6lcuTKQfV/mzp07CQsL44svvgCyO0PffPMNbm5uAFy4cIENGzawZ88efHx8AKhRo4ZS31dffYW7u7tyPMD333+PnZ0dFy5coHbt2gDUq1ePadOmAeDg4MBXX31FTEwMbdu2VabNmZmZaUyRc3NzU+IAmDVrFlu2bGHbtm0MHz6cc+fOER0dzZEjR2jYsCEAK1eu1Jjiu3//fg4fPsz169fR1dUFsn9R3rp1Kxs3bsz3vrMc8+fPJzg4WOkYjR07lt9//5358+fTqlUrKlasiK6uLvr6+oWa3pdfW/NiYWHBkiVL0NLSwtHRkblz55KRkcH//d//AfDxxx8ze/Zs9u/fT69evVi/fj1ZWVmsXLlSGQULCwvDzMyM2NhY2rVrl29dKpWKd955h9jYWLp3766Msq5cuZJz585Rs2ZNDhw4wMSJE3Mdq6Ojg6mpKSqVKs82dezYUTl/kyZNYuHChezduxdHR8fnnq8pU6YoP9vb2zN+/HgiIyM14njw4AHh4eHY2toC8OWXX9KpUydCQ0OVeMzNzfnqq6/Q1tamTp06dOrUiZiYGAYOHMjFixfZtm0b8fHxNGvWDICIiAjs7OzYunUrPXr0AHJ/Np5u3+DBgwH49NNPWbp0KY0aNVKOmzRpEp6enly7dg1ra2tsbW01OvojRoxg165dbNiwgcaNGz/3nBQkJiaGU6dOceXKFaXTER4ejouLC0eOHKFRo0ZAdod31apVGBsbAxAYGEhMTAyff/45d+/eZfXq1axdu5Y2bdoA2e+jnP83nsfCwgJtbW2MjY013g8hISEEBAQoo7oODg4sWbKEli1bsnTpUvT09ABo3bo148aNU47bt28fjx8/VmZGAHTv3p01a9Zw7do1jIyMcHZ2plWrVuzduzdXp/1ZLi4uuLm5sXbtWqWjHBERQZMmTahVq5YSw9OWL1+OmZkZcXFxdO7cWdnfp08f+vXrp2z/+eefGscV9lrn9//2wIEDC2zLs7S1tbGwsACyn5P79H3rffr0ISwsTHlf/vDDD1StWjXPP07l+Pjjjxk7dqyynZaWJp1ZIYQQ4g1V4iOyTZs21ZjK5+npycWLFzl16hSZmZnUrl1buR/TyMiIuLg4jZEJHR0d6tWrp2wnJCSgra1Ny5Yt86zv5MmT7N27V6PMOnXqAGiU+3SZADY2NrlGTp+Vnp7O+PHjcXJywszMDCMjIxITE5UR2fPnz1OuXDk8PDyUY2rVqoW5ublGfOnp6VhaWmrEeOXKFY348pOYmIiXl5fGPi8vLxITE5977ItycXHRuAfTysoKV1dXZVtbWxtLS0vlPJ48eZJLly5hbGystNPCwoIHDx4Uqq0tW7ZUpprHxcXRunVrpXN75MgRHj9+nOtcFMbT1z6ns/u8a59j/fr1eHl5YW1tjZGREVOmTNEYkQeoWrWq0omF7Pd8VlaWxqivi4sL2trayvbT77/ExETKlSunMd3U0tISR0dHjev87Gcjr/ZZWVkBaFynnH059WVmZjJr1ixcXV2xsLDAyMiIXbt25WpXcSQmJmJnZ6fR2XB2dsbMzEyjLfb29konFjTPx59//snjx481OlqmpqaF+sNDQU6ePMmqVas0Poe+vr5kZWVx5coVJV/OH6WeZmBgoHRiIfuc2tvba9xXbmVlVej3VUBAAGvXrgVArVazbt06AgIClPRr164xcOBAHBwcMDU1xcTEhPT09FzXKK9Yn1bYa53f/9uFmSpdWAMHDmT37t38/fffQPZ0+eDgYI16n6Wrq4uJiYnGSwghhBBvphIfkc1Peno62traHDt2TOMXekDjl0F9fX2NX2z09fWfW26XLl2YM2dOrjQbGxvl5/Lly2ukqVQqsrKyCix7/Pjx7Nmzh/nz51OrVi309fXp3r37c6fJPhufjY2Nxr3AOUr7Krt5nbOCzmN6ejoNGjQgIiIiV1kFLRaTI+ceyIsXL3L27FmaN2/OuXPniI2N5datWzRs2BADg6I/cqM41x7g4MGDBAQEMGPGDHx9fTE1NSUyMpLQ0NDXFsPTnv1s5FV2Tnpe+3LqmzdvHosXL2bRokW4urpiaGjI6NGji/S+flEv43wUVXp6OoMHD2bkyJG50qpWrar8bGhomCu9qJ+F5+nduzeTJk3i+PHj3L9/n5SUFI2R3KCgIG7cuMHixYupVq0aurq6eHp65rpGecX6tNJwrXO4u7vj5uZGeHg47dq148yZM0RFRb32OIQQQghROpV4R/bQoUMa2zn3d7m7u5OZmcn169dp0aJFoctzdXUlKyuLuLg4ZWrx0zw8PNi0aRP29vaUK1f85pcvXz7X6EN8fDzBwcF069YNyP5F+OmFixwdHXny5AknTpygQYMGQPb9krdu3dKI799//6VcuXLKwkpF4eTkRHx8PEFBQRpxOTs7F7msHHm19WXw8PBg/fr1VKpUqVgjJ66urpibm/PZZ59Rv359jIyM8Pb2Zs6cOdy6davAKYg6OjovvU0HDhygWrVqfPLJJ8q+q1ev5sqXnJzMP//8o0x9/f3335Xp2IXh5OTEkydPOHTokDK1+MaNG5w/f/6FrnN+4uPj6dq1Kx988AGQ3cG9cOHCS6nLycmJlJQUUlJSlFHZs2fPcvv27UKXX6NGDcqXL8+RI0eUDuadO3e4cOEC77zzTqHKyOv94OHhwdmzZ5XpuyWpSpUqtGzZkoiICO7fv0/btm2Ve54h+xp98803dOzYEcheRO3pBewKq7DXOr//t5/9o2Nh5KzynNfnccCAASxatIi///4bHx8fmSYshBBCCEWJd2STk5MZO3YsgwcP5vjx43z55ZeEhoZSu3ZtAgIC6Nu3L6Ghobi7u/Pff/8RExNDvXr16NQp74du29vbExQUxIcffsiSJUtwc3Pj6tWrXL9+HX9/f4YNG8aKFSvo3bu3sirxpUuXiIyMZOXKlYX+Rcze3p6YmBi8vLzQ1dXF3NwcBwcHNm/eTJcuXVCpVEydOlVjxKVOnTr4+PgwaNAgli5dSvny5Rk3bpzGyJmPjw+enp74+fkxd+5cateuzT///ENUVBTdunV77tTACRMm4O/vj7u7Oz4+Pvz8889s3rw51+rJRZFXW1+GgIAA5s2bR9euXZk5cyZVqlTh6tWrbN68mYkTJ1KlSpUCj8+5TzYiIkK5r69evXo8fPiQmJgYjXvl8mpTeno6MTExuLm5YWBgUKzR26c5ODiQnJxMZGQkjRo1Iioqii1btuTKp6enR1BQEPPnzyctLY2RI0fi7+9f6EeSODg40LVrVwYOHMiyZcswNjZm8uTJ2Nra0rVr1xdqQ371bdy4kQMHDmBubs6CBQu4du3aS+nI+vj44OrqSkBAAIsWLeLJkycMHTqUli1bPve9nsPY2JigoCBldexKlSoxbdo0tLS0CpyG+jR7e3t+++03evXqha6uLhUqVGDSpEk0bdqU4cOHM2DAAAwNDTl79ix79uzhq6++epFmF0tAQADTpk3j0aNHuRYQc3BwYM2aNTRs2JC0tDQmTJjw3NkpeSnstc7v/+3iqFatGiqViu3bt9OxY0f09fWVWTd9+vRh/PjxrFixgvDw8GKVD3B6hq9MMxZCCCHeMCV+j2zfvn25f/8+jRs3ZtiwYYwaNUpZ0CgsLIy+ffsybtw4HB0d8fPz0xh1yc/SpUvp3r07Q4cOpU6dOgwcOFB5ZEblypWJj48nMzOTdu3a4erqyujRozEzMyvSMzZDQ0PZs2cPdnZ2uLu7A7BgwQLMzc1p1qwZXbp0wdfXV+N+WMheyMbKyop33nmHbt26MXDgQIyNjZWFY1QqFTt27OCdd96hX79+1K5dm169enH16lXl3sWC+Pn5sXjxYubPn4+LiwvLli0jLCyswNHJ4rT1ZTAwMOC3336jatWqvPfeezg5OdG/f38ePHhQ6F86W7ZsSWZmptI+LS0t3nnnHVQqVYH3xzZr1owhQ4bQs2dPKlasyNy5c1+4Pe+++y5jxoxh+PDh1K9fnwMHDiiL8zytVq1avPfee3Ts2JF27dpRr149vvnmmyLVFRYWRoMGDejcuTOenp6o1Wp27NiRa/rqyzBlyhQ8PDzw9fXF29sba2tr/Pz8XkrZKpWKn376CXNzc9555x18fHyoUaMG69evL1I5CxYswNPTk86dO+Pj44OXlxdOTk7K5+p5Zs6cSVJSEjVr1lSmtderV4+4uDguXLhAixYtcHd359NPPy30IlIvW/fu3blx4wYZGRm5zv93333HrVu38PDwIDAwkJEjR2qM2BZWYa91Qf9vF5WtrS0zZsxg8uTJWFlZaawKbWpqyvvvv4+RkdFLe88JIYQQ4s2gUj/98L/XzNvbm/r16+f7vMG3wV9//YWdnR3R0dHKiqtCiBdz7949bG1tCQ0NpX///iUdjngBbdq0wcXFhSVLlhT52LS0NExNTblz546MyAohhBBlRGG/v0t8avHb5tdffyU9PR1XV1dSU1OZOHEi9vb2hb6XTwiR24kTJzh37hyNGzfmzp07zJw5E+CVTLUWr8etW7eIjY0lNja2yDMWhBBCCPHmK/GpxW+bx48f83//93+4uLjQrVs3KlasSGxsbKGnhLq4uGg8DuTpV16r/z5PREREvuW5uLgUubyXKb+4jIyM2Ldv32uP54svvsg3ng4dOrz2eEqjffv2FXjdXqX58+fj5uaGj48P9+7dY9++fVSoUKFEYyqM0h5fSXF3dyc4OJg5c+a88KOUhBBCCPHmKdGpxaLorl69yuPHj/NMs7Ky0njWZmHcvXuXa9eu5ZlWvnx5qlWrVuQYX5ZLly7lm2Zra1usxWxexM2bN7l582aeafr6+hrPhn1b3b9/X3nuZ15KYgXg0hjT00p7fGWZTC0WQgghyp7Cfn9LR1YIIcQbSTqyQgghRNlT2O9vmVoshBBCCCGEEKJMkY6sEKWYt7c3o0ePzjddpVKxdevW1xaPyF9sbCwqlYrbt2+XdCh5mj59OlZWVqXqPRMcHCyP1RFCCCFEsciqxUKUYampqZibmxcqr0qlYsuWLdJxeAslJiYyY8YMtmzZQtOmTQv9nnlT1J22Cy1dg5IOQ4g3UtLsTiUdghDiLSUdWSHKMGtr65IOIU+PHz8u9ErcomCPHj1CR0fnhcq4fPkykP04IpVK9TLCEkIIIYQoUTK1WIhSLisri4kTJ2JhYYG1tTXTp09X0p6eJvro0SOGDx+OjY0Nenp6VKtWjZCQEADs7e0B6NatGyqVStkGWLp0KTVr1kRHRwdHR0fWrFmjUf+5c+do3rw5enp6ODs7Ex0drVFvUlISKpWK9evX07JlS/T09IiIiODGjRv07t0bW1tbDAwMcHV1Zd26dRple3t7M2LECEaPHo25uTlWVlasWLGCe/fu0a9fP4yNjalVqxa//PJLoc5VzvTemJgYGjZsiIGBAc2aNeP8+fNKnryms44ePRpvb++XEld8fDz16tVDT0+Ppk2bcvr0aY30/fv306JFC/T19bGzs2PkyJHcu3dPSbe3t2fWrFn07dsXExMTBg0a9Nx2nzp1itatW6Ovr4+lpSWDBg0iPT0dyJ5S3KVLFwC0tLQK1ZHNOUczZsygYsWKmJiYMGTIEB49eqTkycrKIiQkhOrVq6Ovr4+bmxsbN25U0jMzM+nfv7+S7ujoyOLFiwus98iRI1SsWJE5c+YAcPLkSVq1aoWxsTEmJiY0aNCAo0ePPjd+IYQQQrz5pCMrRCm3evVqDA0NOXToEHPnzmXmzJns2bMnV74lS5awbds2NmzYwPnz54mIiFA6rEeOHAEgLCyM1NRUZXvLli2MGjWKcePGcfr0aQYPHky/fv3Yu3cvkN0Z8fPzw8DAgEOHDrF8+XI++eSTPOOcPHkyo0aNIjExEV9fXx48eECDBg2Iiori9OnTDBo0iMDAQA4fPpyrfRUqVODw4cOMGDGCjz76iB49etCsWTOOHz9Ou3btCAwMJCMjo9Dn7JNPPiE0NJSjR49Srlw5Pvzww0If+6JxTZgwgdDQUKVT1qVLF+WRWZcvX6Z9+/a8//77/PHHH6xfv579+/czfPhwjTJynol74sQJpk6dWmCc9+7dw9fXF3Nzc44cOcKPP/5IdHS0Uub48eMJCwsDsqeip6amFqr9MTExJCYmEhsby7p169i8eTMzZsxQ0kNCQggPD+fbb7/lzJkzjBkzhg8++IC4uDggu6NbpUoVfvzxR86ePcunn37K//3f/7Fhw4Y86/v1119p27Ytn3/+OZMmTQIgICCAKlWqcOTIEY4dO8bkyZMLHOl/+PAhaWlpGi8hhBBCvJnk8TtClGLe3t5kZmayb98+ZV/jxo1p3bo1s2fP1rjvdeTIkZw5c0YZMX1WXvfIenl54eLiwvLly5V9/v7+3Lt3j6ioKHbu3EmXLl1ISUlRpjFHR0fTtm1bpaykpCSqV6/OokWLGDVqVIHt6dy5M3Xq1GH+/Pl5ti8zMxNTU1Pee+89wsPDAfj333+xsbHh4MGDNG3atMDyY2NjadWqFdHR0bRp0waAHTt20KlTJ+7fv4+enh7BwcHcvn1bY8Gj0aNHk5CQQGxsbLHjyqk7MjKSnj17AtnPHq5SpQqrVq3C39+fAQMGoK2tzbJly5S69+/fT8uWLbl37x56enrY29vj7u7Oli1bCmxrjhUrVjBp0iRSUlIwNDRU2tylSxf++ecfrKys2Lp1K926daOw/90HBwfz888/k5KSgoFB9r2l3377LRMmTODOnTs8fvwYCwsLoqOj8fT0VI4bMGAAGRkZrF27Ns9yhw8fzr///quM3OZci6CgIPr27cvKlSuVcwdgYmLCl19+SVBQUKHinj59ukZnO4fd6A1yj6wQr4jcIyuEeNnk8TtCvCHq1aunsW1jY8P169dz5QsODiYhIQFHR0dGjhzJ7t27n1t2YmIiXl5eGvu8vLxITEwE4Pz589jZ2Wnci9u4ceM8y2rYsKHGdmZmJrNmzcLV1RULCwuMjIzYtWsXycnJ+bZPW1sbS0tLXF1dlX1WVlYAebY5P0+XaWNjU+TjXySupzt2FhYWODo6Kufz5MmTrFq1CiMjI+Xl6+tLVlYWV65cUY579lwWJDExETc3N6UTC9nXMCsrS2NKdVG5ubkpndicdqWnp5OSksKlS5fIyMigbdu2Gm0JDw9X7scF+Prrr2nQoAEVK1bEyMiI5cuX57r+hw4dokePHqxZs0ajEwswduxYBgwYgI+PD7Nnz9YoOy8ff/wxd+7cUV4pKSnFbr8QQgghSjdZ7EmIUu7ZqZQqlYqsrKxc+Tw8PLhy5Qq//PIL0dHR+Pv74+Pjo3Hf4qv0dEcKYN68eSxevJhFixbh6uqKoaEho0eP1rjPEvJu39P7ckaX82pzfgo6XktLK9fIZM7U31cdV3p6OoMHD2bkyJG50qpWrar8/Oy5LG1y7r+NiorC1tZWI01XVxeAyMhIxo8fT2hoKJ6enhgbGzNv3jwOHTqkkb9mzZpYWlry/fff06lTJ41zPH36dPr06UNUVBS//PIL06ZNIzIykm7duuUZl66urlK/EEIIId5sMiIrxBvExMSEnj17smLFCtavX8+mTZu4efMmkN0xy8zM1Mjv5OREfHy8xr74+HicnZ0BcHR0JCUlhWvXrinpOffXPk98fDxdu3blgw8+wM3NjRo1anDhwoUXad5LUbFixVz3iSYkJLy08n///Xfl51u3bnHhwgWcnJyA7D82nD17llq1auV6FXdlYicnJ06ePKmxYFR8fDxaWlo4OjoWux0nT57k/v37yvbvv/+OkZERdnZ2ODs7o6urS3Jycq522NnZKTE0a9aMoUOH4u7uTq1atfIcUa1QoQK//vorly5dwt/fP9cfFWrXrs2YMWPYvXs37733nnK/rxBCCCHebjIiK8QbYsGCBdjY2ODu7o6WlhY//vgj1tbWmJmZAdmr4cbExODl5YWuri7m5uZMmDABf39/3N3d8fHx4eeff2bz5s1ER0cD0LZtW2rWrElQUBBz587l7t27TJkyBeC5q986ODiwceNGDhw4gLm5OQsWLODatWtKJ7mktG7dmnnz5hEeHo6npyc//PADp0+fxt3d/aWUP3PmTCwtLbGysuKTTz6hQoUKyn3JkyZNomnTpgwfPpwBAwZgaGjI2bNn2bNnD1999VWx6gsICGDatGkEBQUxffp0/vvvP0aMGEFgYKAy/bk4Hj16RP/+/ZkyZQpJSUlMmzaN4cOHo6WlhbGxMePHj2fMmDFkZWXRvHlz7ty5Q3x8PCYmJgQFBeHg4EB4eDi7du2ievXqrFmzhiNHjlC9evVcdVWqVIlff/2VVq1a0bt3byIjI3n8+DETJkyge/fuVK9enb/++osjR47w/vvvF7ktp2f4FniPjRBCCCHKHhmRFeINYWxszNy5c2nYsCGNGjUiKSmJHTt2oKWV/TEPDQ1lz5492NnZKZ02Pz8/Fi9ezPz583FxcWHZsmWEhYUpj6LR1tZm69atpKen06hRIwYMGKCsWqynp1dgPFOmTMHDwwNfX1+8vb2xtrbO9dibkuDr68vUqVOZOHEijRo14u7du/Tt2/ellT979mxGjRpFgwYN+Pfff/n555+V0dZ69eoRFxfHhQsXaNGiBe7u7nz66adUrly52PUZGBiwa9cubt68SaNGjejevTtt2rQpdsc4R5s2bXBwcOCdd96hZ8+evPvuuxqPfpo1axZTp04lJCQEJycn2rdvT1RUlNJRHTx4MO+99x49e/akSZMm3Lhxg6FDh+Zbn7W1Nb/++iunTp0iICAALS0tbty4Qd++falduzb+/v506NAhz8WchBBCCPH2kVWLhRBFEh8fT/Pmzbl06RI1a9Ys6XDEK5DXys5lUWFXPRRCCCFE6VHY72+ZWiyEKNCWLVswMjLCwcGBS5cuMWrUKLy8vKQTK4QQQgghSoxMLRZCFOju3bsMGzaMOnXqEBwcTKNGjfjpp59KJJYhQ4ZoPO7l6deQIUNKJKZX7Ysvvsi3zR06dChWmfmVZ2RkpPHMYiGEEEKI0kqmFgshyozr16+TlpaWZ5qJiQmVKlV6zRG9ejdv3lRWnn6Wvr5+rsffFMalS5fyTbO1tUVfX7/IZZZGMrVYCCGEKHtkarEQ4o1TqVKlN7KzWhALCwssLCxeapm1atV6qeUJIYQQQrxuMrVYCCGEEEIIIUSZIh1ZIYQQQgghhBBlikwtFuIVSEpKonr16pw4cYL69euXdDgvzapVqxg9ejS3b98uFeWIFxMbG0urVq24desWZmZmhTrG29ub+vXrs2jRonzz2NvbM3r0aEaPHg2ASqViy5Yt+Pn5lchno+60XWjpGryWuoR4kyXN7lTSIQghhEJGZIUQb5RVq1YVulOWw97evsCO2ZuqWbNmpKamYmpq+lLLPXLkCIMGDcozzc7OjtTUVOrWrQtkd6ZVKpX8UUMIIYQQRSIjskK8YR4/fkz58uVLOowS8fjx4xKt/9GjR+jo6JRoDIX1+PFjdHR0sLa2fullV6xYMd80bW3tV1KnEEIIId4uMiIrRDHt3LmT5s2bY2ZmhqWlJZ07d+by5csaec6dO0ezZs3Q09Ojbt26xMXFKWk5I1ExMTE0bNgQAwMDmjVrxvnz5zXKWLp0KTVr1kRHRwdHR0fWrFmjka5SqVi6dCnvvvsuhoaGfP7550yfPp369evz/fffU7VqVYyMjBg6dCiZmZnMnTsXa2trKlWqxOeff65R1oIFC3B1dcXQ0BA7OzuGDh1Kenp6sc7PyZMnadWqFcbGxpiYmNCgQQOOHj2qkWfXrl04OTlhZGRE+/btSU1NVdKysrKYOXMmVapUQVdXl/r167Nz504lPSkpCZVKxfr162nZsiV6enpERETQr18/7ty5g0qlQqVSMX369ALj9Pb25urVq4wZM0Y5Jsf+/ftp0aIF+vr62NnZMXLkSO7du6ek29vbM2vWLPr27YuJiQmDBg1SRoS3b9+Oo6MjBgYGdO/enYyMDFavXo29vT3m5uaMHDmSzMzM557H//u//6NJkya59ru5uTFz5kwgewS0bdu2VKhQAVNTU1q2bMnx48c18uf1Pnl2NPTGjRv07t0bW1tbDAwMcHV1Zd26dbnqfvLkCcOHD8fU1JQKFSowdepUnn6SW0Ej3DnXLSEhgaSkJFq1agWAubk5KpWK4OBgwsPDsbS05OHDhxrH+vn5ERgY+NxzJoQQQog3n3RkhSime/fuMXbsWI4ePUpMTAxaWlp069aNrKwsJc+ECRMYN24cJ06cwNPTky5dunDjxg2Ncj755BNCQ0M5evQo5cqV48MPP1TStmzZwqhRoxg3bhynT59m8ODB9OvXj71792qUMX36dLp168apU6eU4y9fvswvv/zCzp07WbduHd999x2dOnXir7/+Ii4ujjlz5jBlyhQOHTqklKOlpcWSJUs4c+YMq1ev5tdff2XixInFOj8BAQFUqVKFI0eOcOzYMSZPnqwxUpyRkcH8+fNZs2YNv/32G8nJyYwfP15JX7x4MaGhocyfP58//vgDX19f3n33XS5evKhRz+TJkxk1ahSJiYm0atWKRYsWYWJiQmpqKqmpqRpl5mXz5s1UqVKFmTNnKsfknL/27dvz/vvv88cff7B+/Xr279/P8OHDNY6fP38+bm5unDhxgqlTpyptW7JkCZGRkezcuZPY2Fi6devGjh072LFjB2vWrGHZsmVs3LixUOfx8OHDGn8kOXPmDH/88Qd9+vQB4O7duwQFBbF//35+//13HBwc6NixI3fv3tUoK6/3ydMePHhAgwYNiIqK4vTp0wwaNIjAwEAOHz6skW/16tWUK1eOw4cPs3jxYhYsWMDKlSuf25Zn2dnZsWnTJgDOnz9PamoqixcvpkePHmRmZrJt2zYl7/Xr14mKisoz7hwPHz4kLS1N4yWEEEKIN5NMLRaimN5//32N7e+//56KFSty9uxZjIyMABg+fLiSb+nSpezcuZPvvvtOo3P4+eef07JlSyC7U9apUycePHiAnp4e8+fPJzg4mKFDhwIwduxYfv/9d+bPn6+MZAH06dOHfv36acSTlZXF999/j7GxMc7OzrRq1Yrz58+zY8cOtLS0cHR0ZM6cOezdu1cZ8ctZnAeyR9U+++wzhgwZwjfffFPk85OcnMyECROoU6cOAA4ODhrpjx8/5ttvv6VmzZrKucoZYYTsDuKkSZPo1asXgBLrokWL+Prrr5V8o0eP5r333lO2TU1NUalUhZ6+amFhgba2NsbGxhrHhISEEBAQoJwTBwcHlixZQsuWLVm6dCl6enoAtG7dmnHjxinH7du3j8ePHysj6QDdu3dnzZo1XLt2DSMjI+V67N27l549exYYn4uLC25ubqxdu1bpKEdERNCkSRPlebCtW7fWOGb58uWYmZkRFxdH586dlf3Pvk/+/PNPjeNsbW01Ov4jRoxg165dbNiwgcaNGyv77ezsWLhwISqVCkdHR06dOsXChQsZOHBggW15lra2tvKM3EqVKmnc29ynTx/CwsLo0aMHAD/88ANVq1bF29s73/JCQkKYMWNGkWIQQgghRNkkI7JCFNPFixfp3bs3NWrUwMTEBHt7eyC7A5fD09NT+blcuXI0bNiQxMREjXLq1aun/GxjYwNkjz4BJCYm4uXlpZHfy8srVxkNGzbMFZ+9vT3GxsbKtpWVFc7OzmhpaWnsy6kLIDo6mjZt2mBra4uxsTGBgYHcuHGDjIyMgk9GHsaOHcuAAQPw8fFh9uzZuaZdGxgYKB09yG57TixpaWn8888/xW77y3Dy5ElWrVqFkZGR8vL19SUrK4srV64UWP+zbbOyssLe3l75A0fOvqfPfUECAgJYu3YtAGq1mnXr1hEQEKCkX7t2jYEDB+Lg4ICpqSkmJiakp6drvBfzi/VpmZmZzJo1C1dXVywsLDAyMmLXrl25ymnatKnGFGxPT08uXrxYqKnShTVw4EB2797N33//DWQv4hUcHKxR77M+/vhj7ty5o7xSUlJeWjxCCCGEKF2kIytEMXXp0oWbN2+yYsUKDh06pEzRffToUZHKeXq6bc4v6U9PTy4MQ0PDAsvNKTuvfTl1JSUl0blzZ+rVq8emTZs4duyYMvJZ1DZB9jTWM2fO0KlTJ3799VecnZ3ZsmVLgfE9fZ9lYeXV9pchPT2dwYMHk5CQoLxOnjzJxYsXNTqpL+PcP0/v3r05f/48x48f58CBA6SkpGiM5AYFBZGQkMDixYs5cOAACQkJWFpa5rpuzztX8+bNY/HixUyaNIm9e/eSkJCAr69vsa7/i3J3d8fNzY3w8HCOHTvGmTNnCA4OLvAYXV1dTExMNF5CCCGEeDPJ1GIhiuHGjRucP3+eFStW0KJFCyB7YaBn/f7777zzzjtA9gI5x44dy3WPZUGcnJyIj48nKChI2RcfH4+zs/MLtiC3Y8eOkZWVRWhoqDJqu2HDhhcqs3bt2tSuXZsxY8bQu3dvwsLC6Nat23OPMzExoXLlysTHxyvTriG77U9Pcc2Ljo5OkUcG8zrGw8ODs2fPKtN3S1KVKlVo2bIlERER3L9/n7Zt21KpUiUlPT4+nm+++YaOHTsCkJKSwv/+978i1xMfH0/Xrl354IMPgOw/qFy4cCHX++3p+6oB5b5cbW3tIteZs8pzXtdswIABLFq0iL///hsfHx/s7OyKXL4QQggh3kzSkRWiGMzNzbG0tGT58uXY2NiQnJzM5MmTc+X7+uuvcXBwwMnJiYULF3Lr1q0CF6t51oQJE/D398fd3R0fHx9+/vlnNm/eTHR09MtsDgC1atXi8ePHfPnll3Tp0oX4+Hi+/fbbYpV1//59JkyYQPfu3alevTp//fUXR44cyXVfcUEmTJjAtGnTqFmzJvXr1ycsLIyEhAQiIiIKPM7e3p709HRiYmJwc3PDwMAAAwOD5x7z22+/0atXL3R1dalQoQKTJk2iadOmDB8+nAEDBmBoaMjZs2fZs2cPX331VaHb8bIEBAQwbdo0Hj16xMKFCzXSHBwcWLNmDQ0bNiQtLY0JEyagr69f5DocHBzYuHEjBw4cwNzcnAULFnDt2rVcHdnk5GTGjh3L4MGDOX78OF9++SWhoaHFale1atVQqVRs376djh07oq+vr0zB7tOnD+PHj2fFihWEh4cXq3yA0zN8ZXRWCCGEeMPI1GIhikFLS4vIyEiOHTtG3bp1GTNmDPPmzcuVb/bs2cyePRs3Nzf279/Ptm3bqFChQqHr8fPzY/HixcyfPx8XFxeWLVtGWFhYgQveFJebmxsLFixgzpw51K1bl4iICEJCQopVlra2Njdu3KBv377Url0bf39/OnToUKSFeEaOHMnYsWMZN24crq6u7Ny5k23btuVaNOpZzZo1Y8iQIfTs2ZOKFSsyd+7c59Y1c+ZMkpKSqFmzpvIM1Hr16hEXF8eFCxdo0aIF7u7ufPrpp1SuXLnQbXiZunfvrtyv7Ofnp5H23XffcevWLTw8PAgMDGTkyJEaI7aFNWXKFDw8PPD19cXb2xtra+tcdQH07duX+/fv07hxY4YNG8aoUaMYNGhQsdpla2vLjBkzmDx5MlZWVhozFkxNTXn//fcxMjLKMw4hhBBCvL1U6uLclCaEEEK8Bm3atMHFxYUlS5YU+di0tDRMTU25c+eOjMgKIYQQZURhv79larEQQohS59atW8TGxhIbG1usxz8JIYQQ4s0mHVkhRLG4uLhw9erVPNOWLVum8XiYkrRv3z46dOiQb3p6evprjCa30h5fSXF3d+fWrVvMmTMHR0fHkg5HCCGEEKWMTC0WQhTL1atXefz4cZ5pVlZWGs+wLUn3799XnkWal5Jelbi0x1eWydRiIYQQouwp7Pe3dGSFEEK8kaQjK4QQQpQ9hf3+llWLhRBCCCGEEEKUKdKRFUIIIYQQQghRpshiT0KUIdOnT2fr1q0kJCSUdCiKjIwMAgMD2bNnD3fv3uXWrVuYmZnlm9/e3p7Ro0czevTo1xajyFtsbCytWrV67jV7mre3N/Xr12fRokX55nn2GqtUKrZs2YKfnx9JSUlUr16dEydOUL9+/RduQ2HUnbYLLV2D11KXEGVR0uxOJR2CEEIUmYzICiFeyOrVq9m3bx8HDhwgNTUVU1PTkg6pyOzt7QvsmL2pmjVr9kqu2ZEjRxg0aFCeaXZ2dqSmplK3bl0guzOtUqm4ffv2S41BCCGEEG82GZEVQryQy5cv4+TkpHRM3maPHj1CR0enpMMolMePH6Ojo4O1tfVLL7tixYr5pmlra7+SOoUQQgjxdpERWVEmeXt7M2LECEaPHo25uTlWVlasWLGCe/fu0a9fP4yNjalVqxa//PKLcszp06fp0KEDRkZGWFlZERgYyP/+9z8lfefOnTRv3hwzMzMsLS3p3Lkzly9fVtKTkpJQqVRs3ryZVq1aYWBggJubGwcPHnxuvGlpaejr62vEA7BlyxaMjY3JyMgAYNKkSdSuXRsDAwNq1KjB1KlT833ETc55eHaKrp+fH8HBwcr2w4cPGT9+PLa2thgaGtKkSRNiY2OfG3OOTZs24eLigq6uLvb29oSGhmrUHxoaym+//YZKpcLb27vQ5eZITk6ma9euGBkZYWJigr+/P9euXVPSp0+fTv369VmzZg329vaYmprSq1cv7t69q+S5e/cuAQEBGBoaYmNjw8KFC/M8N3nx9vbm6tWrjBkzBpVKhUqlUtL2799PixYt0NfXx87OjpEjR3Lv3j0l3d7enlmzZtG3b19MTEwYNGgQq1atwszMjO3bt+Po6IiBgQHdu3cnIyOD1atXY29vj7m5OSNHjiQzM/O58f3f//0fTZo0ybXfzc2NmTNnAtkjoG3btqVChQqYmprSsmVLjh8/rpFfpVKxdOlS3n33XQwNDfn8889zjYbeuHGD3r17Y2tri4GBAa6urqxbty5X3U+ePGH48OGYmppSoUIFpk6dytML4Bc0wp3zOUpISCApKYlWrVoBYG5ujkqlIjg4mPDwcCwtLXn48KHGsX5+fgQGBuZ7rh4+fEhaWprGSwghhBBvJunIijJr9erVVKhQgcOHDzNixAg++ugjevToQbNmzTh+/Djt2rUjMDCQjIwMbt++TevWrXF3d+fo0aPs3LmTa9eu4e/vr5R37949xo4dy9GjR4mJiUFLS4tu3bqRlZWlUe8nn3zC+PHjSUhIoHbt2vTu3ZsnT54UGKuJiQmdO3dm7dq1GvsjIiLw8/PDwCD7/j1jY2NWrVrF2bNnWbx4MStWrGDhwoUvdJ6GDx/OwYMHiYyM5I8//qBHjx60b9+eixcvPvfYY8eO4e/vT69evTh16hTTp09n6tSprFq1CoDNmzczcOBAPD09SU1NZfPmzUWKLSsri65du3Lz5k3i4uLYs2cPf/75Jz179tTId/nyZbZu3cr27dvZvn07cXFxzJ49W0kfO3Ys8fHxbNu2jT179rBv375cHbn8bN68mSpVqjBz5kxSU1NJTU1V6mzfvj3vv/8+f/zxB+vXr2f//v0MHz5c4/j58+fj5ubGiRMnmDp1KpB93/CSJUuIjIxk586dxMbG0q1bN3bs2MGOHTtYs2YNy5YtY+PGjc+NLyAggMOHD2v8UeXMmTP88ccf9OnTB8juyAcFBbF//35+//13HBwc6Nixo0ZnH7L/KNCtWzdOnTrFhx9+mKuuBw8e0KBBA6Kiojh9+jSDBg0iMDCQw4cPa+RbvXo15cqV4/DhwyxevJgFCxawcuXKQpxtTXZ2dmzatAmA8+fPk5qayuLFi+nRoweZmZls27ZNyXv9+nWioqLyjDtHSEgIpqamysvOzq7IMQkhhBCibJCpxaLMcnNzY8qUKQB8/PHHzJ49mwoVKjBw4EAAPv30U5YuXcoff/xBdHQ07u7ufPHFF8rx33//PXZ2dly4cIHatWvz/vvva5T//fffU7FiRc6ePasxbXb8+PF06pS9MMaMGTNwcXHh0qVL1KlTp8B4AwIClI61gYEBaWlpREVFsWXLFiVPTnsge1Rr/PjxREZGMnHixGKdo+TkZMLCwkhOTqZy5cpK/Dt37iQsLEzjfORlwYIFtGnTRumg1a5dm7NnzzJv3jyCg4OxsLDAwMCg2FNUY2JiOHXqFFeuXFE6HeHh4bi4uHDkyBEaNWoEZHd4V61ahbGxMQCBgYHExMTw+eefc/fuXVavXs3atWtp06YNAGFhYUp7n8fCwgJtbW2MjY012hASEkJAQIAyquvg4MCSJUto2bIlS5cuRU9PD4DWrVszbtw45bh9+/bx+PFjli5dSs2aNQHo3r07a9as4dq1axgZGeHs7EyrVq3Yu3dvrk77s1xcXHBzc2Pt2rXKdYiIiKBJkybUqlVLieFpy5cvx8zMjLi4ODp37qzs79OnD/369VO2//zzT43jbG1tGT9+vLI9YsQIdu3axYYNG2jcuLGy387OjoULF6JSqXB0dOTUqVMsXLhQ+ewVlra2NhYWFgBUqlRJY8GpPn36EBYWRo8ePQD44YcfqFq1aoGj/h9//DFjx45VttPS0qQzK4QQQryhZERWlFn16tVTftbW1sbS0hJXV1dln5WVFZA9knPy5En27t2LkZGR8srpeOaMdF28eJHevXtTo0YNTExMsLe3B7I7g/nVa2Njo9TxPB07dqR8+fLKKNOmTZswMTHBx8dHybN+/Xq8vLywtrbGyMiIKVOm5Kq/KE6dOkVmZia1a9fWaHtcXJzGCF9+EhMT8fLy0tjn5eXFxYsXCzUttjDl29nZaXQ2nJ2dMTMzIzExUdlnb2+vdGIh+7znnPM///yTx48fa3S0TE1NcXR0fKHYTp48yapVqzTOm6+vL1lZWVy5ckXJ17Bhw1zHGhgYKJ1YyH4v2tvbY2RkpLGvMO8byP4jSM5ovlqtZt26dQQEBCjp165dY+DAgTg4OGBqaoqJiQnp6em53jt5xfq0zMxMZs2ahaurKxYWFhgZGbFr165c5TRt2lRjCranp+dLe0/kGDhwILt37+bvv/8GYNWqVQQHB2vU+yxdXV1MTEw0XkIIIYR4M8mIrCizypcvr7GtUqk09uX8wpuVlUV6ejpdunRhzpw5ucrJ6Yx26dKFatWqsWLFCipXrkxWVhZ169bl0aNH+db7dB3Po6OjQ/fu3Vm7di29evVi7dq19OzZk3Llsj+GBw8eJCAggBkzZuDr64upqSmRkZEa96Q+S0tLS+PeREDjntr09HS0tbU5duwY2traGvme7lSVdnld68Kc8xeRnp7O4MGDGTlyZK60qlWrKj8bGhrmSn/eezNnX2Hb0Lt3byZNmsTx48e5f/8+KSkpGiO5QUFB3Lhxg8WLF1OtWjV0dXXx9PTM9d7NK9anzZs3j8WLF7No0SJcXV0xNDRk9OjRucp5Hdzd3XFzcyM8PJx27dpx5swZoqKiXnscQgghhCidpCMr3goeHh5s2rQJe3t7peP4tBs3bnD+/HlWrFhBixYtgOyFfl62gIAA2rZty5kzZ/j111/57LPPlLQDBw5QrVo1PvnkE2Xf1atXCyyvYsWKyj2dkD2idvr0aWUBHXd3dzIzM7l+/brSrqJwcnIiPj5eY198fDy1a9fO1TEuDicnJ1JSUkhJSVFGZc+ePcvt27dxdnYuVBk1atSgfPnyHDlyROlg3rlzhwsXLvDOO+8UqgwdHZ1co4keHh6cPXtWmb5bkqpUqULLli2JiIjg/v37tG3blkqVKinp8fHxfPPNN3Ts2BGAlJQUjYXMCis+Pp6uXbvywQcfANl/oLlw4UKua3Ho0CGN7Zz7covznshZ5Tmv0dwBAwawaNEi/v77b3x8fGSasBBCCCEU0pEVb4Vhw4axYsUKevfuzcSJE7GwsODSpUtERkaycuVKzM3NsbS0ZPny5djY2JCcnMzkyZNfehzvvPMO1tbWBAQEUL16dY3VaB0cHEhOTiYyMpJGjRrlun82L61bt2bs2LFERUVRs2ZNFixYoPE8ztq1axMQEEDfvn0JDQ3F3d2d//77j5iYGOrVq6fc65ufcePG0ahRI2bNmkXPnj05ePAgX331Fd98880LnYccPj4+uLq6EhAQwKJFi3jy5AlDhw6lZcuWz50Gm8PY2JigoCAmTJiAhYUFlSpVYtq0aWhpaRU4DfVp9vb2/Pbbb/Tq1QtdXV0qVKjApEmTaNq0KcOHD2fAgAEYGhpy9uxZ9uzZw1dfffUizS6WgIAApk2bxqNHj3ItAObg4MCaNWto2LAhaWlpTJgwAX19/SLX4eDgwMaNGzlw4ADm5uYsWLCAa9eu5erIJicnM3bsWAYPHszx48f58ssvC5w5UJBq1aqhUqnYvn07HTt2RF9fX5kt0KdPH8aPH8+KFSsIDw8vVvkAp2f4yjRjIYQQ4g0j98iKt0LlypWJj48nMzOTdu3a4erqyujRozEzM0NLSwstLS0iIyM5duwYdevWZcyYMcybN++lx6FSqejduzcnT57UuMcR4N1332XMmDEMHz6c+vXrc+DAAWVxn/x8+OGHBAUF0bdvX1q2bEmNGjWU0dgcYWFh9O3bl3HjxuHo6Iifn5/G6GVBPDw82LBhA5GRkdStW5dPP/2UmTNnajze50WoVCp++uknzM3Neeedd/Dx8aFGjRqsX7++SOUsWLAAT09POnfujI+PD15eXjg5OSkLMj3PzJkzSUpKombNmsozUOvVq0dcXBwXLlygRYsWuLu78+mnnxZ6EamXrXv37ty4cYOMjAz8/Pw00r777jtu3bqFh4cHgYGBjBw5UmPEtrCmTJmCh4cHvr6+eHt7Y21tnasugL59+3L//n0aN27MsGHDGDVqFIMGDSpWu2xtbZkxYwaTJ0/GyspKY1VoU1NT3n//fYyMjPKMQwghhBBvL5X62RvshBCijLt37x62traEhobSv3//kg5HvIA2bdrg4uLCkiVLinxsWloapqam3LlzR0ZkhRBCiDKisN/fMrVYCFHmnThxgnPnztG4cWPu3LnDzJkzAejatWsJRyaK69atW8TGxhIbG/vSprILIYQQ4s0hU4uFeEk6dOig8aiWp1/Pe15rSXnZMe/bty/f8l71Ksnz58/Hzc0NHx8f7t27x759+6hQoUKJxlQYpT2+kuLu7k5wcDBz5sx54UcpCSGEEOLNI1OLhXhJ/v77b+7fv59nmoWFBRYWFq85oud72THfv39fee5nXkpiBeDSGNPTSnt8ZZlMLRZCCCHKnsJ+f0tHVgghxBtJOrJCCCFE2VPY72+ZWiyEEEIIIYQQokyRxZ6EEKIQvL29qV+/PosWLSqxGIKDg7l9+zZbt24tNTEVxqpVqxg9erTGM45fp7rTdqGla1AidQvxuiXNLvj54EII8aaQjqwQQpRRmzdvpnz58iUdhhBCCCHEaycdWSGEKKNK4wJiQgghhBCvg9wjK4QQhfTkyROGDx+OqakpFSpUYOrUqTy9Xt6aNWto2LAhxsbGWFtb06dPH65fv66k37p1i4CAACpWrIi+vj4ODg6EhYUp6SkpKfj7+2NmZoaFhQVdu3YlKSkp33i8vb0ZPXq0sm1vb88XX3zBhx9+iLGxMVWrVmX58uUaxxSljqysLKpUqcLSpUs19p84cQItLS2uXr0KwIIFC3B1dcXQ0BA7OzuGDh1Kenp6vnEHBwfj5+ensW/06NF4e3tr1B0SEkL16tXR19fHzc2NjRs35lumEEIIId4u0pEVQohCWr16NeXKlePw4cMsXryYBQsWsHLlSiX98ePHzJo1i5MnT7J161aSkpIIDg5W0qdOncrZs2f55ZdfSExMZOnSpVSoUEE51tfXF2NjY/bt20d8fDxGRka0b9+eR48eFTrG0NBQGjZsyIkTJxg6dCgfffQR58+fL1YdWlpa9O7dm7Vr12rsj4iIwMvLi2rVqin5lixZwpkzZ1i9ejW//vorEydOLHTMeQkJCSE8PJxvv/2WM2fOMGbMGD744APi4uLyPebhw4ekpaVpvIQQQgjxZpKpxUIIUUh2dnYsXLgQlUqFo6Mjp06dYuHChQwcOBCADz/8UMlbo0YNlixZQqNGjUhPT8fIyIjk5GTc3d1p2LAhkD2CmmP9+vVkZWWxcuVKVCoVAGFhYZiZmREbG0u7du0KFWPHjh0ZOnQoAJMmTWLhwoXs3bsXR0fHYtUREBBAaGgoycnJVK1alaysLCIjI5kyZYqS59lR4c8++4whQ4bwzTffFCrmZz18+JAvvviC6OhoPD09gezzuX//fpYtW0bLli3zPC4kJIQZM2YUq04hhBBClC0yIiuEEIXUtGlTpQMI4OnpycWLF8nMzATg2LFjdOnShapVq2JsbKx0uJKTkwH46KOPiIyMpH79+kycOJEDBw4oZZ08eZJLly5hbGyMkZERRkZGWFhY8ODBAy5fvlzoGOvVq6f8rFKpsLa2VqY3F6eO+vXr4+TkpIzKxsXFcf36dXr06KHkiY6Opk2bNtja2mJsbExgYCA3btwgIyOj0HE/7dKlS2RkZNC2bVslTiMjI8LDwws8Fx9//DF37txRXikpKcWqXwghhBCln4zICiHES3Dv3j18fX3x9fUlIiKCihUrkpycjK+vrzJtt0OHDly9epUdO3awZ88e2rRpw7Bhw5g/fz7p6ek0aNCAiIiIXGVXrFix0HE8u4qxSqUiKysLoNh1BAQEsHbtWiZPnszatWtp3749lpaWACQlJdG5c2c++ugjPv/8cywsLNi/fz/9+/fn0aNHGBjkfuyNlpaWxr3FkD3tOUfO/bVRUVHY2tpq5NPV1c03Tl1d3QLThRBCCPHmkI6sEEIU0qFDhzS2f//9dxwcHNDW1ubcuXPcuHGD2bNnY2dnB8DRo0dzlVGxYkWCgoIICgqiRYsWTJgwgfnz5+Ph4cH69eupVKkSJiYmryT+4tbRp08fpkyZwrFjx9i4cSPffvutknbs2DGysrIIDQ1FSyt7ks+GDRsKLK9ixYqcPn1aY19CQoLSCXd2dkZXV5fk5OR8pxELIYQQ4u0mHVkhhCik5ORkxo4dy+DBgzl+/DhffvkloaGhAFStWhUdHR2+/PJLhgwZwunTp5k1a5bG8Z9++ikNGjTAxcWFhw8fsn37dpycnIDsUc958+bRtWtXZs6cSZUqVbh69SqbN29m4sSJVKlS5YXjL24d9vb2NGvWjP79+5OZmcm7776rpNWqVYvHjx/z5Zdf0qVLF+Lj4zU6unlp3bo18+bNIzw8HE9PT3744QdOnz6Nu7s7AMbGxowfP54xY8aQlZVF8+bNuXPnDvHx8ZiYmBAUFFSkdp+e4fvK/jgghBBCiJIh98gKIUQh9e3bl/v379O4cWOGDRvGqFGjGDRoEJA9yrhq1Sp+/PFHnJ2dmT17NvPnz9c4XkdHh48//ph69erxzjvvoK2tTWRkJAAGBgb89ttvVK1alffeew8nJyf69+/PgwcPXlon7EXqCAgI4OTJk3Tr1g19fX1lv5ubGwsWLGDOnDnUrVuXiIgIQkJCCizL19eXqVOnMnHiRBo1asTdu3fp27evRp5Zs2YxdepUQkJCcHJyon379kRFRVG9evXinwAhhBBCvDFU6mdvVBJCCCHeAGlpaZiamnLnzh0ZkRVCCCHKiMJ+f8uIrBBCCCGEEEKIMkU6skIIIYQQQgghyhTpyAohhBBCCCGEKFOkIyuEEEIIIYQQokyRjqwQQgghhBBCiDJFOrJCCCGEEEIIIcqUciUdgBBCeHt7U79+fRYtWpRnukqlYsuWLfj5+b3WuES26dOns3XrVhISEko6lGKpO20XWroGJR2GeMslze5U0iEIIcQbRUZkhRClXmpqKh06dChUXpVKxdatW19tQCUsNjYWlUrF7du3SzoUIYQQQogSISOyQohSz9rauqRDyNPjx48pX758SYchhBBCCPHWkRFZIUSpkJWVxcSJE7GwsMDa2prp06craU+Psj569Ijhw4djY2ODnp4e1apVIyQkBAB7e3sAunXrhkqlUrYBli5dSs2aNdHR0cHR0ZE1a9Zo1H/u3DmaN2+Onp4ezs7OREdHa9SblJSESqVi/fr1tGzZEj09PSIiIrhx4wa9e/fG1tYWAwMDXF1dWbdunUbZ3t7ejBgxgtGjR2Nubo6VlRUrVqzg3r179OvXD2NjY2rVqsUvv/zy3POUlJREq1atADA3N0elUhEcHKycw5CQEKpXr46+vj5ubm5s3LhROTZnJDcmJoaGDRtiYGBAs2bNOH/+vEYds2fPxsrKCmNjY/r378+DBw9yxbFy5UqcnJzQ09OjTp06fPPNNxoxqlQqNm/eTKtWrTAwMMDNzY2DBw9qlBEfH4+3tzcGBgaYm5vj6+vLrVu3CA8Px9LSkocPH2rk9/PzIzAwMN9z8/DhQ9LS0jReQgghhHgzSUdWCFEqrF69GkNDQw4dOsTcuXOZOXMme/bsyZVvyZIlbNu2jQ0bNnD+/HkiIiKUDuuRI0cACAsLIzU1VdnesmULo0aNYty4cZw+fZrBgwfTr18/9u7dC0BmZiZ+fn4YGBhw6NAhli9fzieffJJnnJMnT2bUqFEkJibi6+vLgwcPaNCgAVFRUZw+fZpBgwYRGBjI4cOHc7WvQoUKHD58mBEjRvDRRx/Ro0cPmjVrxvHjx2nXrh2BgYFkZGQUeJ7s7OzYtGkTAOfPnyc1NZXFixcDEBISQnh4ON9++y1nzpxhzJgxfPDBB8TFxWmU8cknnxAaGsrRo0cpV64cH374oZK2YcMGpk+fzhdffMHRo0exsbHR6KQCRERE8Omnn/L555+TmJjIF198wdSpU1m9enWuesaPH09CQgK1a9emd+/ePHnyBICEhATatGmDs7MzBw8eZP/+/XTp0oXMzEx69OhBZmYm27ZtU8q6fv06UVFRGrE+KyQkBFNTU+VlZ2dX4LkUQgghRNmlUqvV6pIOQgjxdvP29iYzM5N9+/Yp+xo3bkzr1q2ZPXu2xmJPI0eO5MyZM8qI6bPyWhjKy8sLFxcXli9fruzz9/fn3r17REVFsXPnTrp06UJKSooyjTk6Opq2bdsqZSUlJVG9enUWLVrEqFGjCmxP586dqVOnDvPnz8+zfZmZmZiamvLee+8RHh4OwL///ouNjQ0HDx6kadOmBZYfGxtLq1atuHXrFmZmZkD2aKSFhQXR0dF4enoqeQcMGEBGRgZr165VjouOjqZNmzYA7Nixg06dOnH//n309PRo1qwZ7u7ufP3110oZTZs25cGDB8piT7Vq1WLWrFn07t1byfPZZ5+xY8cODhw4oJyrlStX0r9/fwDOnj2Li4sLiYmJ1KlThz59+pCcnMz+/fvzbOPQoUNJSkpix44dACxYsICvv/6aS5cu5Xndc87B06O4aWlp2NnZYTd6gyz2JEqcLPYkhBCFk5aWhqmpKXfu3MHExCTffDIiK4QoFerVq6exbWNjw/Xr13PlCw4OJiEhAUdHR0aOHMnu3bufW3ZiYiJeXl4a+7y8vEhMTASyRzbt7Ow07sVt3LhxnmU1bNhQYzszM5NZs2bh6uqKhYUFRkZG7Nq1i+Tk5Hzbp62tjaWlJa6urso+KysrgDzbXBiXLl0iIyODtm3bYmRkpLzCw8O5fPlyvrHY2Nho1JuYmEiTJk008j/dMb537x6XL1+mf//+GvV89tlnRaonZ0Q2PwMHDmT37t38/fffAKxatYrg4OB8O7EAurq6mJiYaLyEEEII8WaSxZ6EEKXCs4smqVQqsrKycuXz8PDgypUr/PLLL0RHR+Pv74+Pj4/GvaCvkqGhocb2vHnzWLx4MYsWLcLV1RVDQ0NGjx7No0ePNPLl1b6n9+V00PJqc2Gkp6cDEBUVha2trUaarq5uvrEUtd6celasWJGrw6utrV3oevT19Qusx93dHTc3N8LDw2nXrh1nzpwhKiqqUDEKIYQQ4s0nI7JCiDLHxMSEnj17smLFCtavX8+mTZu4efMmkN15yszM1Mjv5OREfHy8xr74+HicnZ0BcHR0JCUlhWvXrinpOffXPk98fDxdu3blgw8+wM3NjRo1anDhwoUXad5z6ejoAGi009nZGV1dXZKTk6lVq5bGqyj3ijo5OXHo0CGNfb///rvys5WVFZUrV+bPP//MVU/16tULXU+9evWIiYkpMM+AAQNYtWoVYWFh+Pj4yD2vQgghhFDIiKwQokxZsGABNjY2uLu7o6WlxY8//oi1tbVyr6i9vT0xMTF4eXmhq6uLubk5EyZMwN/fH3d3d3x8fPj555/ZvHkz0dHRALRt25aaNWsSFBTE3LlzuXv3LlOmTAEocCorgIODAxs3buTAgQOYm5uzYMECrl27pnSSX4Vq1aqhUqnYvn07HTt2RF9fH2NjY8aPH8+YMWPIysqiefPm3Llzh/j4eExMTAgKCipU2aNGjSI4OJiGDRvi5eVFREQEZ86coUaNGkqeGTNmMHLkSExNTWnfvj0PHz7k6NGj3Lp1i7Fjxxaqno8//hhXV1eGDh3KkCFD0NHRYe/evfTo0YMKFSoA0KdPH8aPH8+KFSuUe4mL4/QMX5lmLIQQQrxhZERWCFGmGBsbM3fuXBo2bEijRo2UBYG0tLL/OwsNDWXPnj3Y2dnh7u4OZD+2ZfHixcyfPx8XFxeWLVtGWFgY3t7eQPaU2K1bt5Kenk6jRo0YMGCAsmqxnp5egfFMmTIFDw8PfH198fb2xtraWmOhqVfB1taWGTNmMHnyZKysrBg+fDgAs2bNYurUqYSEhODk5ET79u2Jiooq0khpz549mTp1KhMnTqRBgwZcvXqVjz76SCPPgAEDWLlyJWFhYbi6utKyZUtWrVpVpHpq167N7t27OXnyJI0bN8bT05OffvqJcuX+399XTU1Nef/99zEyMnrl51QIIYQQZYusWiyEEHmIj4+nefPmXLp0iZo1a5Z0OG+tNm3a4OLiwpIlS4p8bGFXPRRCCCFE6VHY72+ZWiyEEGQ/a9bIyAgHBwcuXbrEqFGj8PLykk5sCbl16xaxsbHExsbmeo6tEEIIIYRMLRZCCODu3bsMGzaMOnXqEBwcTKNGjfjpp59KJJYhQ4ZoPNrm6deQIUNKJKbXzd3dneDgYObMmYOjo2NJhyOEEEKIUkamFgshRClz/fp10tLS8kwzMTGhUqVKrzmiskmmFgshhBBlj0wtFkKIMqpSpUrSWRVCCCGEKIBMLRZCCCGEEEIIUaZIR1YI8VZSq9UMGjQICwsLVCoVCQkJr6SepKSkV1q+EEIIIcTbSKYWCyHeSjt37mTVqlXExsZSo0YNKlSoUGD+2NhYWrVqxa1btzAzM3s9QQoAvL29qV+/PosWLSrW8XWn7UJL1+DlBlVISbM7lUi9QgghxJtOOrJCiLfS5cuXsbGxoVmzZiUdihBCCCGEKCKZWiyEeOsEBwczYsQIkpOTUalU2Nvbk5WVRUhICNWrV0dfXx83Nzc2btwIZE8PbtWqFQDm5uaoVCqCg4OB7JHd5s2bY2ZmhqWlJZ07d+by5cvFiis2NhaVSsWuXbtwd3dHX1+f1q1bc/36dX755RecnJwwMTGhT58+ZGRkKMc9fPiQkSNHUqlSJfT09GjevDlHjhwBICsriypVqrB06VKNuk6cOIGWlhZXr14F4Pbt2wwYMICKFStiYmJC69atOXnypJJ/+vTp1K9fn++//56qVatiZGTE0KFDyczMZO7cuVhbW1OpUiU+//xzjXoKW+6aNWuwt7fH1NSUXr16cffuXeVaxcXFsXjxYlQqFSqViqSkpGKdXyGEEEK8OaQjK4R46yxevJiZM2dSpUoVUlNTOXLkCCEhIYSHh/Ptt99y5swZxowZwwcffEBcXBx2dnZs2rQJgPPnz5OamsrixYsBuHfvHmPHjuXo0aPExMSgpaVFt27dyMrKKnZ806dP56uvvuLAgQOkpKTg7+/PokWLWLt2LVFRUezevZsvv/xSyT9x4kQ2bdrE6tWrOX78OLVq1cLX15ebN2+ipaVF7969Wbt2rUYdEREReHl5Ua1aNQB69OihdJiPHTuGh4cHbdq04ebNm8oxly9f5pdffmHnzp2sW7eO7777jk6dOvHXX38RFxfHnDlzmDJlCocOHVKOKWy5W7duZfv27Wzfvp24uDhmz56tXCtPT08GDhxIamoqqamp2NnZ5XneHj58SFpamsZLCCGEEG8mmVoshHjrmJqaYmxsjLa2NtbW1jx8+JAvvviC6OhoPD09AahRowb79+9n2bJltGzZEgsLCyD70ThP3yP7/vvva5T9/fffU7FiRc6ePUvdunWLFd9nn32Gl5cXAP379+fjjz/m8uXL1KhRA4Du3buzd+9eJk2axL1791i6dCmrVq2iQ4cOAKxYsYI9e/bw3XffMWHCBAICAggNDSU5OZmqVauSlZVFZGQkU6ZMAWD//v0cPnyY69evo6urC8D8+fPZunUrGzduZNCgQUD26O7333+PsbExzs7OtGrVivPnz7Njxw60tLRwdHRkzpw57N27lyZNmhSp3FWrVmFsbAxAYGAgMTExfP7555iamqKjo4OBgQHW1tYFnreQkBBmzJhRrHMuhBBCiLJFRmSFEG+9S5cukZGRQdu2bTEyMlJe4eHhz50mfPHiRXr37k2NGjUwMTHB3t4egOTk5GLHU69ePeVnKysrDAwMlE5szr7r168D2aOZjx8/Vjq+AOXLl6dx48YkJiYCUL9+fZycnJRR2bi4OK5fv06PHj0AOHnyJOnp6VhaWmq0/8qVKxrtt7e3VzqbOXE4OzujpaWlsS8ntuKWa2Njo5RRFB9//DF37txRXikpKUUuQwghhBBlg4zICiHeeunp6QBERUVha2urkZYzkpifLl26UK1aNVasWEHlypXJysqibt26PHr0qNjxlC9fXvlZpVJpbOfsK+rU5YCAANauXcvkyZNZu3Yt7du3x9LSEshuv42NDbGxsbmOe3r0Oa84CortRcotztRsXV3d514vIYQQQrwZpCMrhHjrOTs7o6urS3JyMi1btswzj46ODgCZmZnKvhs3bnD+/HlWrFhBixYtgOxpuq9TzZo10dHRIT4+Xrnf9fHjxxw5coTRo0cr+fr06cOUKVM4duwYGzdu5Ntvv1XSPDw8+PfffylXrpwyovwyvKxydXR0NM67EEIIIYR0ZIUQbz1jY2PGjx/PmDFjyMrKonnz5ty5c4f4+HhMTEwICgqiWrVqqFQqtm/fTseOHdHX18fc3BxLS0uWL1+OjY0NycnJTJ48+bXGbmhoyEcffcSECROwsLCgatWqzJ07l4yMDPr376/ks7e3p1mzZvTv35/MzEzeffddJc3HxwdPT0/8/PyYO3cutWvX5p9//iEqKopu3brRsGHDYsX2ssq1t7fn0KFDJCUlYWRkhIWFhcZ05uc5PcMXExOTYrVBCCGEEKWT3CMrhBDArFmzmDp1KiEhITg5OdG+fXuioqKoXr06ALa2tsyYMYPJkydjZWXF8OHD0dLSIjIykmPHjlG3bl3GjBnDvHnzXnvss2fP5v333ycwMBAPDw8uXbrErl27MDc318gXEBDAyZMn6datG/r6+sp+lUrFjh07eOedd+jXrx+1a9emV69eXL16FSsrq2LH9bLKHT9+PNra2jg7O1OxYsUXuv9YCCGEEG8GlVqtVpd0EEIIIcTLlpaWhqmpKXfu3JERWSGEEKKMKOz3t4zICiGEEEIIIYQoU+QeWSGEeE2GDBnCDz/8kGfaBx98oLEAk3hxOROO0tLSSjgSIYQQQhRWzvf28yYOy9RiIYR4Ta5fv55vp8rExIRKlSq95ojebH/++Sc1a9Ys6TCEEEIIUQwpKSlUqVIl33TpyAohhHgj3b59G3Nzc5KTkzE1NS3pcF6JtLQ07OzsSElJeWPvA34b2ghvRzvfhjbC29HOt6GN8Ha0szS2Ua1Wc/fuXSpXrlzgUwpkarEQQog3Us6Xn6mpaan5cn5VTExMpI1viLehnW9DG+HtaOfb0EZ4O9pZ2tpYmD9Ay2JPQgghhBBCCCHKFOnICiGEEEIIIYQoU6QjK4QQ4o2kq6vLtGnT0NXVLelQXhlp45vjbWjn29BGeDva+Ta0Ed6OdpblNspiT0IIIYQQQgghyhQZkRVCCCGEEEIIUaZIR1YIIYQQQgghRJkiHVkhhBBCCCGEEGWKdGSFEEIIIYQQQpQp0pEVQghRJnz99dfY29ujp6dHkyZNOHz4cIH5f/zxR+rUqYOenh6urq7s2LFDI12tVvPpp59iY2ODvr4+Pj4+XLx48VU2oVCK0s4VK1bQokULzM3NMTc3x8fHJ1f+4OBgVCqVxqt9+/avuhkFKkobV61alSt+PT09jTyl8VoWpY3e3t652qhSqejUqZOSp7Rdx99++40uXbpQuXJlVCoVW7dufe4xsbGxeHh4oKurS61atVi1alWuPEX9nL9qRW3n5s2badu2LRUrVsTExARPT0927dqlkWf69Om5rmWdOnVeYSsKVtQ2xsbG5vl+/ffffzXylfVrmddnTqVS4eLiouQpbdcyJCSERo0aYWxsTKVKlfDz8+P8+fPPPa6sfl9KR1YIIUSpt379esaOHcu0adM4fvw4bm5u+Pr6cv369TzzHzhwgN69e9O/f39OnDiBn58ffn5+nD59Wskzd+5clixZwrfffsuhQ4cwNDTE19eXBw8evK5m5VLUdsbGxtK7d2/27t3LwYMHsbOzo127dvz9998a+dq3b09qaqryWrdu3etoTp6K2kYAExMTjfivXr2qkV7armVR27h582aN9p0+fRptbW169Oihka80Xcd79+7h5ubG119/Xaj8V65coVOnTrRq1YqEhARGjx7NgAEDNDp5xXlvvGpFbedvv/1G27Zt2bFjB8eOHaNVq1Z06dKFEydOaORzcXHRuJb79+9/FeEXSlHbmOP8+fMabahUqZKS9iZcy8WLF2u0LyUlBQsLi1yfy9J0LePi4hg2bBi///47e/bs4fHjx7Rr14579+7le0xZ/b4EQC2EEEKUco0bN1YPGzZM2c7MzFRXrlxZHRISkmd+f39/dadOnTT2NWnSRD148GC1Wq1WZ2Vlqa2trdXz5s1T0m/fvq3W1dVVr1u37hW0oHCK2s5nPXnyRG1sbKxevXq1si8oKEjdtWvXlx1qsRW1jWFhYWpTU9N8yyuN1/JFr+PChQvVxsbG6vT0dGVfabuOTwPUW7ZsKTDPxIkT1S4uLhr7evbsqfb19VW2X/S8vWqFaWdenJ2d1TNmzFC2p02bpnZzc3t5gb1EhWnj3r171YD61q1b+eZ5E6/lli1b1CqVSp2UlKTsK83XUq1Wq69fv64G1HFxcfnmKavfl2q1Wi0jskIIIUq1R48ecezYMXx8fJR9Wlpa+Pj4cPDgwTyPOXjwoEZ+AF9fXyX/lStX+PfffzXymJqa0qRJk3zLfNWK085nZWRk8PjxYywsLDT2x8bGUqlSJRwdHfnoo4+4cePGS429sIrbxvT0dKpVq4adnR1du3blzJkzSlppu5Yv4zp+99139OrVC0NDQ439peU6FsfzPpMv47yVRllZWdy9ezfXZ/LixYtUrlyZGjVqEBAQQHJycglFWHz169fHxsaGtm3bEh8fr+x/U6/ld999h4+PD9WqVdPYX5qv5Z07dwByvf+eVha/L3NIR1YIIUSp9r///Y/MzEysrKw09ltZWeW6JyvHv//+W2D+nH+LUuarVpx2PmvSpElUrlxZ4xeO9u3bEx4eTkxMDHPmzCEuLo4OHTqQmZn5UuMvjOK00dHRke+//56ffvqJH374gaysLJo1a8Zff/0FlL5r+aLX8fDhw5w+fZoBAwZo7C9N17E48vtMpqWlcf/+/Zfy/i+N5s+fT3p6Ov7+/sq+Jk2asGrVKnbu3MnSpUu5cuUKLVq04O7duyUYaeHZ2Njw7bffsmnTJjZt2oSdnR3e3t4cP34ceDn/l5U2//zzD7/88kuuz2VpvpZZWVmMHj0aLy8v6tatm2++svh9maNcidYuhBBCiJdi9uzZREZGEhsbq7EYUq9evZSfXV1dqVevHjVr1iQ2NpY2bdqURKhF4unpiaenp7LdrFkznJycWLZsGbNmzSrByF6N7777DldXVxo3bqyxv6xfx7fR2rVrmTFjBj/99JPG/aMdOnRQfq5Xrx5NmjShWrVqbNiwgf79+5dEqEXi6OiIo6Ojst2sWTMuX77MwoULWbNmTQlG9uqsXr0aMzMz/Pz8NPaX5ms5bNgwTp8+XaL37L5qMiIrhBCiVKtQoQLa2tpcu3ZNY/+1a9ewtrbO8xhra+sC8+f8W5QyX7XitDPH/PnzmT17Nrt376ZevXoF5q1RowYVKlTg0qVLLxxzUb1IG3OUL18ed3d3Jf7Sdi1fpI337t0jMjKyUL8Al+R1LI78PpMmJibo6+u/lPdGaRIZGcmAAQPYsGFDrmmbzzIzM6N27dpl5lrmpXHjxkr8b9q1VKvVfP/99wQGBqKjo1Ng3tJyLYcPH8727dvZu3cvVapUKTBvWfy+zCEdWSGEEKWajo4ODRo0ICYmRtmXlZVFTEyMxkjd0zw9PTXyA+zZs0fJX716daytrTXypKWlcejQoXzLfNWK007IXk1y1qxZ7Ny5k4YNGz63nr/++osbN25gY2PzUuIuiuK28WmZmZmcOnVKib+0XcsXaeOPP/7Iw4cP+eCDD55bT0lex+J43mfyZbw3Sot169bRr18/1q1bp/EIpfykp6dz+fLlMnMt85KQkKDE/yZdS8heCfjSpUuF+gNTSV9LtVrN8OHD2bJlC7/++ivVq1d/7jFl8ftSUaJLTQkhhBCFEBkZqdbV1VWvWrVKffbsWfWgQYPUZmZm6n///VetVqvVgYGB6smTJyv54+Pj1eXKlVPPnz9fnZiYqJ42bZq6fPny6lOnTil5Zs+erTYzM1P/9NNP6j/++EPdtWtXdfXq1dX3799/7e3LUdR2zp49W62jo6PeuHGjOjU1VXndvXtXrVar1Xfv3lWPHz9effDgQfWVK1fU0dHRag8PD7WDg4P6wYMHZaKNM2bMUO/atUt9+fJl9bFjx9S9evVS6+npqc+cOaPkKW3XsqhtzNG8eXN1z549c+0vjdfx7t276hMnTqhPnDihBtQLFixQnzhxQn316lW1Wq1WT548WR0YGKjk//PPP9UGBgbqCRMmqBMTE9Vff/21WltbW71z504lz/POW0koajsjIiLU5cqVU3/99dcan8nbt28recaNG6eOjY1VX7lyRR0fH6/28fFRV6hQQX39+vXX3j61uuhtXLhwoXrr1q3qixcvqk+dOqUeNWqUWktLSx0dHa3keROuZY4PPvhA3aRJkzzLLG3X8qOPPlKbmpqqY2NjNd5/GRkZSp435ftSrVarpSMrhBCiTPjyyy/VVatWVevo6KgbN26s/v3335W0li1bqoOCgjTyb9iwQV27dm21jo6O2sXFRR0VFaWRnpWVpZ46darayspKraurq27Tpo36/Pnzr6MpBSpKO6tVq6YGcr2mTZumVqvV6oyMDHW7du3UFStWVJcvX15drVo19cCBA0v0l0m1umhtHD16tJLXyspK3bFjR/Xx48c1yiuN17Ko79dz586pAfXu3btzlVUar2POI1iefeW0KygoSN2yZctcx9SvX1+to6OjrlGjhjosLCxXuQWdt5JQ1Ha2bNmywPxqdfZjh2xsbNQ6OjpqW1tbdc+ePdWXLl16vQ17SlHbOGfOHHXNmjXVenp6agsLC7W3t7f6119/zVVuWb+WanX2Y2b09fXVy5cvz7PM0nYt82ofoPFZe5O+L1VqtVr9yoZ7hRBCCCGEEEKIl0zukRVCCCGEEEIIUaZIR1YIIYQQQgghRJkiHVkhhBBCCCGEEGWKdGSFEEIIIYQQQpQp0pEVQgghhBBCCFGmSEdWCCGEEEIIIUSZIh1ZIYQQQgghhBBlinRkhRBCCCGEEEKUKdKRFUIIIYQQr5S9vT2LFi0qMI9KpWLr1q2vJZ6iSEpKQqVSkZCQUNKhCCGeIh1ZIYQQQgjxXCkpKXz44YdUrlwZHR0dqlWrxqhRo7hx40ZJh8b06dNRqVSoVCq0tbWxs7Nj0KBB3Lx5s0jlBAcH4+fnp7HPzs6O1NRU6tat+xIjFkK8KOnICiGEEEKIAv355580bNiQixcvsm7dOi5dusS3335LTEwMnp6eRe4wvgouLi6kpqaSnJxMWFgYO3fu5KOPPnrhcrW1tbG2tqZcuXIvIUohxMsiHVkhhBBCCFGgYcOGoaOjw+7du2nZsiVVq1alQ4cOREdH8/fff/PJJ58oea9fv06XLl3Q19enevXqRERE5Crv4sWLvPPOO+jp6eHs7MyePXs00h89esTw4cOxsbFBT0+PatWqERISUmCM5cqVw9raGltbW3x8fOjRo4dGuZmZmfTv35/q1aujr6+Po6MjixcvVtKnT5/O6tWr+emnn5TR3djY2DynFsfFxdG4cWN0dXWxsbFh8uTJPHnypKinVQjxAuRPS0IIIYQQIl83b95k165dfP755+jr62ukWVtbExAQwPr16/nmm29QqVQEBwfzzz//sHfvXsqXL8/IkSO5fv26ckxWVhbvvfceVlZWHDp0iDt37jB69GiNcpcsWcK2bdvYsGEDVatWJSUlhZSUlELHnJSUxK5du9DR0dGot0qVKvz4449YWlpy4MABBg0ahI2NDf7+/owfP57ExETS0tIICwsDwMLCgn/++Uej7L///puOHTsSHBxMeHg4586dY+DAgejp6TF9+vRCxyiEeDHSkRVCCCGEEPm6ePEiarUaJyenPNOdnJy4desW//33H7dv3+aXX37h8OHDNGrUCIDvvvtO49jo6GjOnTvHrl27qFy5MgBffPEFHTp0UPIkJyfj4OBA8+bNUalUVKtW7blxnjp1CiMjIzIzM3nw4AEACxYsUNLLly/PjBkzlO3q1atz8OBBNmzYgL+/P0ZGRujr6/Pw4UOsra3zreebb77Bzs6Or776CpVKRZ06dfjnn3+YNGkSn376KVpaMuFRiNdBOrJCCCGEEOK51Gr1c/MkJiZSrlw5GjRooOyrU6cOZmZmGnns7OyUTiyAp6enRjnBwcG0bdsWR0dH2rdvT+fOnWnXrl2BdTs6OrJt2zYePHjADz/8QEJCAiNGjNDI8/XXX/P999+TnJzM/fv3efToEfXr139uu55to6enJyqVStnn5eVFeno6f/31F1WrVi1SeUKI4pE/GQkhhBBCiHzVqlULlUpFYmJinumJiYmYm5tTsWLFl1anh4cHV65cYdasWdy/fx9/f3+6d+9e4DE6OjrUqlWLunXrMnv2bLS1tTVGYCMjIxk/fjz9+/dn9+7dJCQk0K9fPx49evTS4hZCvD7SkRVCCCGEEPmytLSkbdu2fPPNN9y/f18j7d9//yUiIoKePXsq02yfPHnCsWPHlDznz5/n9u3byraTkxMpKSmkpqYq+37//fdc9ZqYmNCzZ09WrFjB+vXr2bRpU5FWR54yZQrz589X7nGNj4+nWbNmDB06FHd3d2rVqsXly5c1jtHR0SEzM7PAcp2cnDh48KDGCHV8fDzGxsZUqVKl0PEJIV6MdGSFEEIIIUSBvvrqKx4+fIivry+//fYbKSkp7Ny5k7Zt22Jra8vnn38OoEwFHjx4MIcOHeLYsWMMGDBAY5EoHx8fateuTVBQECdPnmTfvn0aqx5D9r2t69at49y5c1y4cIEff/wRa2trjSnKz+Pp6Um9evX44osvAHBwcODo0aPs2rWLCxcuMHXqVI4cOaJxjL29PX/88Qfnz5/nf//7H48fP85V7tChQ0lJSWHEiBGcO3eOn376iWnTpjF27Fi5P1aI10g+bUIIIYQQokA5ncAaNWrg7+9PzZo1GTRoEK1ateLgwYNYWFgoecPCwqhcuTItW7bkvffeY9CgQVSqVElJ19LSYsuWLdy/f5/GjRszYMAApSOcw9jYmLlz59KwYUMaNWpEUlISO3bsKHJHccyYMaxcuZKUlBQGDx7Me++9R8+ePWnSpAk3btxg6NChGvkHDhyIo6MjDRs2pGLFisTHx+cq09bWlh07dnD48GHc3NwYMmQI/fv3Z8qUKUWKTQjxYlTqwty5L4QQQgghhBBClBIyIiuEEEIIIYQQokyRjqwQQgghhBBCiDJFOrJCCCGEEEIIIcoU6cgKIYQQQgghhChTpCMrhBBCCCGEEKJMkY6sEEIIIYQQQogyRTqyQgghhBBCCCHKFOnICiGEEEIIIYQoU6QjK4QQQgghhBCiTJGOrBBCCCGEEEKIMkU6skIIIYQQQgghypT/D23nchcDYRZ6AAAAAElFTkSuQmCC","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["feat_imp.plot(kind=\"barh\")\n","plt.xlabel('Odds Ratio')\n","plt.ylabel('Features');"]},{"cell_type":"markdown","metadata":{},"source":["* This plot indicates all features with their odds of likely causing fetal death."]},{"cell_type":"markdown","metadata":{},"source":["## Decision Tree Classifier"]},{"cell_type":"code","execution_count":20,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:43.171181Z","iopub.status.busy":"2024-06-24T13:29:43.170668Z","iopub.status.idle":"2024-06-24T13:29:43.207431Z","shell.execute_reply":"2024-06-24T13:29:43.205711Z","shell.execute_reply.started":"2024-06-24T13:29:43.171138Z"},"trusted":true},"outputs":[{"data":{"text/html":["
Pipeline(steps=[('decisiontreeclassifier',\n","                 DecisionTreeClassifier(random_state=42))])
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"],"text/plain":["Pipeline(steps=[('decisiontreeclassifier',\n"," DecisionTreeClassifier(random_state=42))])"]},"execution_count":20,"metadata":{},"output_type":"execute_result"}],"source":["model_dt = make_pipeline(\n"," DecisionTreeClassifier(random_state=42)\n",")\n","\n","model_dt.fit(X_train,y_train)"]},{"cell_type":"code","execution_count":21,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:43.209312Z","iopub.status.busy":"2024-06-24T13:29:43.208820Z","iopub.status.idle":"2024-06-24T13:29:43.226651Z","shell.execute_reply":"2024-06-24T13:29:43.225033Z","shell.execute_reply.started":"2024-06-24T13:29:43.209269Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Training Accuracy: 1.0\n","Test Accuracy: 0.92\n"]}],"source":["acc_train_dt = accuracy_score(y_train, model_dt.predict(X_train))\n","acc_test_dt = accuracy_score(y_test, model_dt.predict(X_test))\n","\n","print(\"Training Accuracy:\", round(acc_train_dt, 2))\n","print(\"Test Accuracy:\", round(acc_test_dt, 2))"]},{"cell_type":"markdown","metadata":{},"source":["* While the test accuracy of 92% is good, the perfect training accuracy suggests potential overfitting. Revising the hyperparameters and using cross-validation can help improve the model's performance and generalizability."]},{"cell_type":"code","execution_count":22,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:43.229332Z","iopub.status.busy":"2024-06-24T13:29:43.228801Z","iopub.status.idle":"2024-06-24T13:29:47.016355Z","shell.execute_reply":"2024-06-24T13:29:47.014779Z","shell.execute_reply.started":"2024-06-24T13:29:43.229288Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Best Model Test Accuracy: 0.93\n"]}],"source":["param_grid = {\n"," 'decisiontreeclassifier__max_depth': [None, 10, 20, 30],\n"," 'decisiontreeclassifier__min_samples_split': [2, 5, 10],\n"," 'decisiontreeclassifier__min_samples_leaf': [1, 2, 4]\n","}\n","\n","grid_search_dt = GridSearchCV(model_dt, param_grid, cv=5, scoring='accuracy', n_jobs=-1)\n","\n","\n","grid_search_dt.fit(X_train, y_train)\n","\n","best_params_dt = grid_search_dt.best_params_\n","best_model_dt = grid_search_dt.best_estimator_\n","\n","best_model_score_dt = accuracy_score(y_test, best_model_dt.predict(X_test))\n","print(\"Best Model Test Accuracy:\", round(best_model_score_dt, 2))"]},{"cell_type":"markdown","metadata":{},"source":["* The Best Model Test Accuracy of 93% indicates that the model generalizes well to new, unseen data, achieving high accuracy."]},{"cell_type":"code","execution_count":23,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:47.018616Z","iopub.status.busy":"2024-06-24T13:29:47.018217Z","iopub.status.idle":"2024-06-24T13:29:47.131475Z","shell.execute_reply":"2024-06-24T13:29:47.130055Z","shell.execute_reply.started":"2024-06-24T13:29:47.018576Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Cross-Validation Accuracy: 0.91 (+/- 0.02)\n"]}],"source":["cv_scores = cross_val_score(model_dt, X_train, y_train, cv=5, scoring='accuracy')\n","print(\"Cross-Validation Accuracy: {:.2f} (+/- {:.2f})\".format(cv_scores.mean(), cv_scores.std() * 2))"]},{"cell_type":"markdown","metadata":{},"source":["* The Cross-Validation Accuracy of 91% (+/- 0.02) demonstrates that the model's performance is robust and stable across different subsets of the training data.\n","\n","* These scores collectively suggest that the decision tree classifier, after hyperparameter tuning and cross-validation, is performing effectively and reliably on the given dataset."]},{"cell_type":"markdown","metadata":{},"source":["## Random Forest Classification"]},{"cell_type":"code","execution_count":24,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:47.133488Z","iopub.status.busy":"2024-06-24T13:29:47.133052Z","iopub.status.idle":"2024-06-24T13:29:47.654047Z","shell.execute_reply":"2024-06-24T13:29:47.652765Z","shell.execute_reply.started":"2024-06-24T13:29:47.133449Z"},"trusted":true},"outputs":[{"data":{"text/html":["
Pipeline(steps=[('randomforestclassifier',\n","                 RandomForestClassifier(random_state=42))])
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"],"text/plain":["Pipeline(steps=[('randomforestclassifier',\n"," RandomForestClassifier(random_state=42))])"]},"execution_count":24,"metadata":{},"output_type":"execute_result"}],"source":["model_rf = make_pipeline(\n"," RandomForestClassifier(random_state=42)\n",")\n","\n","model_rf.fit(X_train, y_train)"]},{"cell_type":"code","execution_count":25,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:47.655879Z","iopub.status.busy":"2024-06-24T13:29:47.655491Z","iopub.status.idle":"2024-06-24T13:29:47.713982Z","shell.execute_reply":"2024-06-24T13:29:47.712534Z","shell.execute_reply.started":"2024-06-24T13:29:47.655846Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Training Accuracy: 1.0\n","Test Accuracy: 0.95\n"]}],"source":["acc_train_rf = accuracy_score(y_train, model_rf.predict(X_train))\n","acc_test_rf = accuracy_score(y_test, model_rf.predict(X_test))\n","\n","print(\"Training Accuracy:\", round(acc_train_rf, 2))\n","print(\"Test Accuracy:\", round(acc_test_rf, 2))\n"]},{"cell_type":"markdown","metadata":{},"source":["* The training accuracy is 1.0, indicating perfect accuracy on the training set, which may suggest overfitting.\n","* The test accuracy is 0.95, which is high and suggests good performance on unseen data."]},{"cell_type":"code","execution_count":26,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:47.716294Z","iopub.status.busy":"2024-06-24T13:29:47.715818Z","iopub.status.idle":"2024-06-24T13:32:29.762756Z","shell.execute_reply":"2024-06-24T13:32:29.761128Z","shell.execute_reply.started":"2024-06-24T13:29:47.716256Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Best Model Test Accuracy: 0.95\n"]}],"source":["param_grid_rf = {\n"," 'randomforestclassifier__n_estimators': [100, 200, 300],\n"," 'randomforestclassifier__max_depth': [None, 10, 20, 30],\n"," 'randomforestclassifier__min_samples_split': [2, 5, 10],\n"," 'randomforestclassifier__min_samples_leaf': [1, 2, 4]\n","}\n","\n","grid_search_rf = GridSearchCV(model_rf, param_grid_rf, cv=5, scoring='accuracy', n_jobs=-1)\n","\n","grid_search_rf.fit(X_train, y_train)\n","\n","best_params_rf = grid_search_rf.best_params_\n","best_model_rf = grid_search_rf.best_estimator_\n","\n","best_model_score_rf = accuracy_score(y_test, best_model_rf.predict(X_test))\n","print(\"Best Model Test Accuracy:\", round(best_model_score_rf, 2))"]},{"cell_type":"markdown","metadata":{},"source":["* The best model test accuracy remains at 0.95, indicating that hyperparameter tuning did not significantly improve performance, but it did help confirm the robustness of the initial model."]},{"cell_type":"code","execution_count":27,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:32:29.765157Z","iopub.status.busy":"2024-06-24T13:32:29.764665Z","iopub.status.idle":"2024-06-24T13:32:32.024765Z","shell.execute_reply":"2024-06-24T13:32:32.023025Z","shell.execute_reply.started":"2024-06-24T13:32:29.765122Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Cross-Validation Accuracy: 0.94 (+/- 0.02)\n"]}],"source":["cv_scores_rf = cross_val_score(model_rf, X_train, y_train, cv=5, scoring='accuracy')\n","print(\"Cross-Validation Accuracy: {:.2f} (+/- {:.2f})\".format(cv_scores_rf.mean(), cv_scores_rf.std() * 2))"]},{"cell_type":"markdown","metadata":{},"source":["* The cross-validation accuracy is 0.94 with a small variability (+/- 0.02), indicating that the model performs consistently well across different subsets of the training data."]},{"cell_type":"markdown","metadata":{},"source":["## Gradient Boosting Classification"]},{"cell_type":"code","execution_count":28,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:32:32.032195Z","iopub.status.busy":"2024-06-24T13:32:32.031736Z","iopub.status.idle":"2024-06-24T13:32:33.782859Z","shell.execute_reply":"2024-06-24T13:32:33.781464Z","shell.execute_reply.started":"2024-06-24T13:32:32.032164Z"},"trusted":true},"outputs":[{"data":{"text/html":["
Pipeline(steps=[('gradientboostingclassifier',\n","                 GradientBoostingClassifier(random_state=42))])
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"],"text/plain":["Pipeline(steps=[('gradientboostingclassifier',\n"," GradientBoostingClassifier(random_state=42))])"]},"execution_count":28,"metadata":{},"output_type":"execute_result"}],"source":["model_gb = make_pipeline(\n"," GradientBoostingClassifier(random_state=42)\n",")\n","\n","model_gb.fit(X_train, y_train)\n"]},{"cell_type":"code","execution_count":29,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:32:33.785426Z","iopub.status.busy":"2024-06-24T13:32:33.784892Z","iopub.status.idle":"2024-06-24T13:32:33.814525Z","shell.execute_reply":"2024-06-24T13:32:33.812647Z","shell.execute_reply.started":"2024-06-24T13:32:33.785382Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Training Accuracy: 0.99\n","Test Accuracy: 0.95\n"]}],"source":["acc_train_gb = accuracy_score(y_train, model_gb.predict(X_train))\n","acc_test_gb = accuracy_score(y_test, model_gb.predict(X_test))\n","\n","print(\"Training Accuracy:\", round(acc_train_gb, 2))\n","print(\"Test Accuracy:\", round(acc_test_gb, 2))"]},{"cell_type":"markdown","metadata":{},"source":["* The training accuracy is 0.99, indicating very high accuracy on the training set, which suggests potential overfitting.\n","* The test accuracy is 0.95, indicating good performance on unseen data but slightly lower than the training accuracy, which suggests overfitting but still good generalization."]},{"cell_type":"code","execution_count":30,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:32:33.817117Z","iopub.status.busy":"2024-06-24T13:32:33.816564Z","iopub.status.idle":"2024-06-24T13:38:26.542258Z","shell.execute_reply":"2024-06-24T13:38:26.540640Z","shell.execute_reply.started":"2024-06-24T13:32:33.817074Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Best Model Test Accuracy: 0.96\n"]}],"source":["# Define the parameter grid for RandomizedSearchCV\n","param_distributions_gb = {\n"," 'gradientboostingclassifier__n_estimators': [100, 200, 300],\n"," 'gradientboostingclassifier__learning_rate': [0.01, 0.1, 0.2],\n"," 'gradientboostingclassifier__max_depth': [3, 5, 7],\n"," 'gradientboostingclassifier__min_samples_split': [2, 5, 10],\n"," 'gradientboostingclassifier__min_samples_leaf': [1, 2, 4]\n","}\n","\n","# Initialize RandomizedSearchCV with 5-fold cross-validation\n","random_search_gb = RandomizedSearchCV(\n"," model_gb, \n"," param_distributions=param_distributions_gb, \n"," n_iter=50, # Number of parameter settings that are sampled\n"," cv=5, \n"," scoring='accuracy', \n"," n_jobs=-1, \n"," random_state=42\n",")\n","\n","# Perform the randomized search\n","random_search_gb.fit(X_train, y_train)\n","\n","# Retrieve the best parameters and the best model\n","best_params_gb = random_search_gb.best_params_\n","best_model_gb = random_search_gb.best_estimator_\n","\n","# Evaluate the best model on the test set and print the test accuracy\n","best_model_score_gb = accuracy_score(y_test, best_model_gb.predict(X_test))\n","print(\"Best Model Test Accuracy:\", round(best_model_score_gb, 2))"]},{"cell_type":"markdown","metadata":{},"source":["* The best model test accuracy is 0.96, indicating a slight improvement after hyperparameter tuning."]},{"cell_type":"code","execution_count":31,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:38:26.544738Z","iopub.status.busy":"2024-06-24T13:38:26.544252Z","iopub.status.idle":"2024-06-24T13:39:11.100761Z","shell.execute_reply":"2024-06-24T13:39:11.099411Z","shell.execute_reply.started":"2024-06-24T13:38:26.544701Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Cross-Validation Accuracy: 0.95 (+/- 0.02)\n"]}],"source":["# Perform cross-validation on the initial model\n","cv_scores_gb = cross_val_score(best_model_gb, X_train, y_train, cv=5, scoring='accuracy')\n","\n","# Print the mean cross-validation accuracy and its variability\n","print(\"Cross-Validation Accuracy: {:.2f} (+/- {:.2f})\".format(cv_scores_gb.mean(), cv_scores_gb.std() * 2))"]},{"cell_type":"markdown","metadata":{},"source":["* The cross-validation accuracy is 0.95 with a small variability (+/- 0.02), indicating that the model performs consistently well across different subsets of the training data."]},{"cell_type":"markdown","metadata":{},"source":["## Model Selection"]},{"cell_type":"code","execution_count":32,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:39:11.102766Z","iopub.status.busy":"2024-06-24T13:39:11.102392Z","iopub.status.idle":"2024-06-24T13:39:11.155203Z","shell.execute_reply":"2024-06-24T13:39:11.153734Z","shell.execute_reply.started":"2024-06-24T13:39:11.102736Z"},"trusted":true},"outputs":[{"data":{"text/html":["
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Model
Test Accuracy
0.948357Gradient Boosting
0.946009Random Forest
0.922535Decision Tree
0.894366Logistic Regression
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"],"text/plain":[" Model\n","Test Accuracy \n","0.948357 Gradient Boosting\n","0.946009 Random Forest\n","0.922535 Decision Tree\n","0.894366 Logistic Regression"]},"execution_count":32,"metadata":{},"output_type":"execute_result"}],"source":["model_names = [\"Logistic Regression\", \"Decision Tree\", \"Random Forest\", \"Gradient Boosting\"]\n","test_scores = [model_lr.score(X_test, y_test),\n"," model_dt.score(X_test, y_test),\n"," model_rf.score(X_test, y_test),\n"," model_gb.score(X_test, y_test)]\n","\n","# Creating a DataFrame to display model performance\n","results_test = pd.DataFrame({\n"," \"Model\": model_names,\n"," \"Test Accuracy\": test_scores\n","})\n","\n","# Sorting models by descending test accuracy\n","results_test = results_test.sort_values(by=\"Test Accuracy\", ascending=False)\n","results_test = results_test.set_index(\"Test Accuracy\")\n","\n","# Displaying the top performing models\n","results_test"]},{"cell_type":"markdown","metadata":{},"source":["The test accuracy results for the models show that Gradient Boosting achieved the highest performance with approximately 94.84%, followed closely by Random Forest at 94.60%. Decision Tree performed slightly lower with an accuracy of about 92.25%, while Logistic Regression had the lowest accuracy at 89.20%. These findings indicate that ensemble methods like Gradient Boosting and Random Forest are well-suited for the dataset, demonstrating strong predictive power on unseen data compared to simpler models like Decision Tree and Logistic Regression."]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.13"}},"nbformat":4,"nbformat_minor":5} +{"cells":[{"cell_type":"markdown","metadata":{},"source":["## IMPORTING LIBRARIES"]},{"cell_type":"code","execution_count":1,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:24.052212Z","iopub.status.busy":"2024-06-24T13:29:24.051708Z","iopub.status.idle":"2024-06-24T13:29:28.036844Z","shell.execute_reply":"2024-06-24T13:29:28.035352Z","shell.execute_reply.started":"2024-06-24T13:29:24.052174Z"},"trusted":true},"outputs":[],"source":["# importing libraries\n","import numpy as np\n","import pandas as pd\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","from sklearn.model_selection import train_test_split\n","from sklearn.pipeline import make_pipeline\n","from sklearn.linear_model import LogisticRegression\n","from sklearn.tree import DecisionTreeClassifier\n","from sklearn.ensemble import GradientBoostingClassifier, RandomForestClassifier\n","from sklearn.model_selection import GridSearchCV, RandomizedSearchCV, cross_val_score\n","from sklearn.metrics import accuracy_score\n","np.random.seed(0)"]},{"cell_type":"markdown","metadata":{},"source":["## LOADING DATA"]},{"cell_type":"code","execution_count":2,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:28.039842Z","iopub.status.busy":"2024-06-24T13:29:28.039259Z","iopub.status.idle":"2024-06-24T13:29:28.199726Z","shell.execute_reply":"2024-06-24T13:29:28.197656Z","shell.execute_reply.started":"2024-06-24T13:29:28.039808Z"},"trusted":true},"outputs":[{"data":{"text/html":["
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baseline valueaccelerationsfetal_movementuterine_contractionslight_decelerationssevere_decelerationsprolongued_decelerationsabnormal_short_term_variabilitymean_value_of_short_term_variabilitypercentage_of_time_with_abnormal_long_term_variability...histogram_minhistogram_maxhistogram_number_of_peakshistogram_number_of_zeroeshistogram_modehistogram_meanhistogram_medianhistogram_variancehistogram_tendencyfetal_health
0120.00.0000.00.0000.0000.00.073.00.543.0...62.0126.02.00.0120.0137.0121.073.01.02.0
1132.00.0060.00.0060.0030.00.017.02.10.0...68.0198.06.01.0141.0136.0140.012.00.01.0
2133.00.0030.00.0080.0030.00.016.02.10.0...68.0198.05.01.0141.0135.0138.013.00.01.0
3134.00.0030.00.0080.0030.00.016.02.40.0...53.0170.011.00.0137.0134.0137.013.01.01.0
4132.00.0070.00.0080.0000.00.016.02.40.0...53.0170.09.00.0137.0136.0138.011.01.01.0
\n","

5 rows × 22 columns

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"],"text/plain":[" baseline value accelerations fetal_movement uterine_contractions \\\n","0 120.0 0.000 0.0 0.000 \n","1 132.0 0.006 0.0 0.006 \n","2 133.0 0.003 0.0 0.008 \n","3 134.0 0.003 0.0 0.008 \n","4 132.0 0.007 0.0 0.008 \n","\n"," light_decelerations severe_decelerations prolongued_decelerations \\\n","0 0.000 0.0 0.0 \n","1 0.003 0.0 0.0 \n","2 0.003 0.0 0.0 \n","3 0.003 0.0 0.0 \n","4 0.000 0.0 0.0 \n","\n"," abnormal_short_term_variability mean_value_of_short_term_variability \\\n","0 73.0 0.5 \n","1 17.0 2.1 \n","2 16.0 2.1 \n","3 16.0 2.4 \n","4 16.0 2.4 \n","\n"," percentage_of_time_with_abnormal_long_term_variability ... histogram_min \\\n","0 43.0 ... 62.0 \n","1 0.0 ... 68.0 \n","2 0.0 ... 68.0 \n","3 0.0 ... 53.0 \n","4 0.0 ... 53.0 \n","\n"," histogram_max histogram_number_of_peaks histogram_number_of_zeroes \\\n","0 126.0 2.0 0.0 \n","1 198.0 6.0 1.0 \n","2 198.0 5.0 1.0 \n","3 170.0 11.0 0.0 \n","4 170.0 9.0 0.0 \n","\n"," histogram_mode histogram_mean histogram_median histogram_variance \\\n","0 120.0 137.0 121.0 73.0 \n","1 141.0 136.0 140.0 12.0 \n","2 141.0 135.0 138.0 13.0 \n","3 137.0 134.0 137.0 13.0 \n","4 137.0 136.0 138.0 11.0 \n","\n"," histogram_tendency fetal_health \n","0 1.0 2.0 \n","1 0.0 1.0 \n","2 0.0 1.0 \n","3 1.0 1.0 \n","4 1.0 1.0 \n","\n","[5 rows x 22 columns]"]},"execution_count":2,"metadata":{},"output_type":"execute_result"}],"source":["# Import the dataset from a CSV file named 'fetal_health.csv' into a Pandas DataFrame\n","# 'pd.read_csv' reads the CSV file into a tabular format, where rows represent data entries and columns represent features\n","data = pd.read_csv(\"fetal_health.csv\")\n","\n","# Display the first 5 rows of the DataFrame using the 'head()' function\n","# This gives a quick overview of the dataset structure and a preview of the first few entries\n","data.head(5)\n"]},{"cell_type":"code","execution_count":3,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:28.212145Z","iopub.status.busy":"2024-06-24T13:29:28.209274Z","iopub.status.idle":"2024-06-24T13:29:28.256533Z","shell.execute_reply":"2024-06-24T13:29:28.255234Z","shell.execute_reply.started":"2024-06-24T13:29:28.212075Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","RangeIndex: 2126 entries, 0 to 2125\n","Data columns (total 22 columns):\n"," # Column Non-Null Count Dtype \n","--- ------ -------------- ----- \n"," 0 baseline value 2126 non-null float64\n"," 1 accelerations 2126 non-null float64\n"," 2 fetal_movement 2126 non-null float64\n"," 3 uterine_contractions 2126 non-null float64\n"," 4 light_decelerations 2126 non-null float64\n"," 5 severe_decelerations 2126 non-null float64\n"," 6 prolongued_decelerations 2126 non-null float64\n"," 7 abnormal_short_term_variability 2126 non-null float64\n"," 8 mean_value_of_short_term_variability 2126 non-null float64\n"," 9 percentage_of_time_with_abnormal_long_term_variability 2126 non-null float64\n"," 10 mean_value_of_long_term_variability 2126 non-null float64\n"," 11 histogram_width 2126 non-null float64\n"," 12 histogram_min 2126 non-null float64\n"," 13 histogram_max 2126 non-null float64\n"," 14 histogram_number_of_peaks 2126 non-null float64\n"," 15 histogram_number_of_zeroes 2126 non-null float64\n"," 16 histogram_mode 2126 non-null float64\n"," 17 histogram_mean 2126 non-null float64\n"," 18 histogram_median 2126 non-null float64\n"," 19 histogram_variance 2126 non-null float64\n"," 20 histogram_tendency 2126 non-null float64\n"," 21 fetal_health 2126 non-null float64\n","dtypes: float64(22)\n","memory usage: 365.5 KB\n"]}],"source":["# 'info()' provides useful details about the dataset such as:\n","# - The number of rows (entries) and columns (features)\n","# - The name of each column\n","# - The data type of each column (e.g., int, float, object)\n","# - The number of non-null (non-missing) values in each column\n","# This helps in understanding the dataset's structure, data types, and completeness.\n","data.info()\n"]},{"cell_type":"code","execution_count":4,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:28.260468Z","iopub.status.busy":"2024-06-24T13:29:28.259885Z","iopub.status.idle":"2024-06-24T13:29:28.272443Z","shell.execute_reply":"2024-06-24T13:29:28.271068Z","shell.execute_reply.started":"2024-06-24T13:29:28.260430Z"},"trusted":true},"outputs":[{"data":{"text/plain":["baseline value 0\n","accelerations 0\n","fetal_movement 0\n","uterine_contractions 0\n","light_decelerations 0\n","severe_decelerations 0\n","prolongued_decelerations 0\n","abnormal_short_term_variability 0\n","mean_value_of_short_term_variability 0\n","percentage_of_time_with_abnormal_long_term_variability 0\n","mean_value_of_long_term_variability 0\n","histogram_width 0\n","histogram_min 0\n","histogram_max 0\n","histogram_number_of_peaks 0\n","histogram_number_of_zeroes 0\n","histogram_mode 0\n","histogram_mean 0\n","histogram_median 0\n","histogram_variance 0\n","histogram_tendency 0\n","fetal_health 0\n","dtype: int64"]},"execution_count":4,"metadata":{},"output_type":"execute_result"}],"source":["# Check for missing values (null values) in the dataset\n","# 'isnull()' returns a DataFrame of the same shape as 'data', with True for null entries and False for non-null entries\n","# 'sum()' is then used to count the total number of missing values in each column\n","# This helps to quickly assess if any data cleaning is required due to missing values.\n","data.isnull().sum()\n"]},{"cell_type":"markdown","metadata":{},"source":["**No missing values in the dataset**"]},{"cell_type":"code","execution_count":5,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:28.275036Z","iopub.status.busy":"2024-06-24T13:29:28.274220Z","iopub.status.idle":"2024-06-24T13:29:28.370079Z","shell.execute_reply":"2024-06-24T13:29:28.368464Z","shell.execute_reply.started":"2024-06-24T13:29:28.274975Z"},"trusted":true},"outputs":[{"data":{"text/html":["
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countmeanstdmin25%50%75%max
baseline value2126.0133.3038579.840844106.0126.000133.000140.000160.000
accelerations2126.00.0031780.0038660.00.0000.0020.0060.019
fetal_movement2126.00.0094810.0466660.00.0000.0000.0030.481
uterine_contractions2126.00.0043660.0029460.00.0020.0040.0070.015
light_decelerations2126.00.0018890.0029600.00.0000.0000.0030.015
severe_decelerations2126.00.0000030.0000570.00.0000.0000.0000.001
prolongued_decelerations2126.00.0001590.0005900.00.0000.0000.0000.005
abnormal_short_term_variability2126.046.99012217.19281412.032.00049.00061.00087.000
mean_value_of_short_term_variability2126.01.3327850.8832410.20.7001.2001.7007.000
percentage_of_time_with_abnormal_long_term_variability2126.09.84666018.3968800.00.0000.00011.00091.000
mean_value_of_long_term_variability2126.08.1876295.6282470.04.6007.40010.80050.700
histogram_width2126.070.44590838.9556933.037.00067.500100.000180.000
histogram_min2126.093.57949229.56021250.067.00093.000120.000159.000
histogram_max2126.0164.02540017.944183122.0152.000162.000174.000238.000
histogram_number_of_peaks2126.04.0682032.9493860.02.0003.0006.00018.000
histogram_number_of_zeroes2126.00.3236120.7060590.00.0000.0000.00010.000
histogram_mode2126.0137.45202316.38128960.0129.000139.000148.000187.000
histogram_mean2126.0134.61053615.59359673.0125.000136.000145.000182.000
histogram_median2126.0138.09031014.46658977.0129.000139.000148.000186.000
histogram_variance2126.018.80809028.9776360.02.0007.00024.000269.000
histogram_tendency2126.00.3203200.610829-1.00.0000.0001.0001.000
fetal_health2126.01.3043270.6143771.01.0001.0001.0003.000
\n","
"],"text/plain":[" count mean \\\n","baseline value 2126.0 133.303857 \n","accelerations 2126.0 0.003178 \n","fetal_movement 2126.0 0.009481 \n","uterine_contractions 2126.0 0.004366 \n","light_decelerations 2126.0 0.001889 \n","severe_decelerations 2126.0 0.000003 \n","prolongued_decelerations 2126.0 0.000159 \n","abnormal_short_term_variability 2126.0 46.990122 \n","mean_value_of_short_term_variability 2126.0 1.332785 \n","percentage_of_time_with_abnormal_long_term_vari... 2126.0 9.846660 \n","mean_value_of_long_term_variability 2126.0 8.187629 \n","histogram_width 2126.0 70.445908 \n","histogram_min 2126.0 93.579492 \n","histogram_max 2126.0 164.025400 \n","histogram_number_of_peaks 2126.0 4.068203 \n","histogram_number_of_zeroes 2126.0 0.323612 \n","histogram_mode 2126.0 137.452023 \n","histogram_mean 2126.0 134.610536 \n","histogram_median 2126.0 138.090310 \n","histogram_variance 2126.0 18.808090 \n","histogram_tendency 2126.0 0.320320 \n","fetal_health 2126.0 1.304327 \n","\n"," std min 25% \\\n","baseline value 9.840844 106.0 126.000 \n","accelerations 0.003866 0.0 0.000 \n","fetal_movement 0.046666 0.0 0.000 \n","uterine_contractions 0.002946 0.0 0.002 \n","light_decelerations 0.002960 0.0 0.000 \n","severe_decelerations 0.000057 0.0 0.000 \n","prolongued_decelerations 0.000590 0.0 0.000 \n","abnormal_short_term_variability 17.192814 12.0 32.000 \n","mean_value_of_short_term_variability 0.883241 0.2 0.700 \n","percentage_of_time_with_abnormal_long_term_vari... 18.396880 0.0 0.000 \n","mean_value_of_long_term_variability 5.628247 0.0 4.600 \n","histogram_width 38.955693 3.0 37.000 \n","histogram_min 29.560212 50.0 67.000 \n","histogram_max 17.944183 122.0 152.000 \n","histogram_number_of_peaks 2.949386 0.0 2.000 \n","histogram_number_of_zeroes 0.706059 0.0 0.000 \n","histogram_mode 16.381289 60.0 129.000 \n","histogram_mean 15.593596 73.0 125.000 \n","histogram_median 14.466589 77.0 129.000 \n","histogram_variance 28.977636 0.0 2.000 \n","histogram_tendency 0.610829 -1.0 0.000 \n","fetal_health 0.614377 1.0 1.000 \n","\n"," 50% 75% max \n","baseline value 133.000 140.000 160.000 \n","accelerations 0.002 0.006 0.019 \n","fetal_movement 0.000 0.003 0.481 \n","uterine_contractions 0.004 0.007 0.015 \n","light_decelerations 0.000 0.003 0.015 \n","severe_decelerations 0.000 0.000 0.001 \n","prolongued_decelerations 0.000 0.000 0.005 \n","abnormal_short_term_variability 49.000 61.000 87.000 \n","mean_value_of_short_term_variability 1.200 1.700 7.000 \n","percentage_of_time_with_abnormal_long_term_vari... 0.000 11.000 91.000 \n","mean_value_of_long_term_variability 7.400 10.800 50.700 \n","histogram_width 67.500 100.000 180.000 \n","histogram_min 93.000 120.000 159.000 \n","histogram_max 162.000 174.000 238.000 \n","histogram_number_of_peaks 3.000 6.000 18.000 \n","histogram_number_of_zeroes 0.000 0.000 10.000 \n","histogram_mode 139.000 148.000 187.000 \n","histogram_mean 136.000 145.000 182.000 \n","histogram_median 139.000 148.000 186.000 \n","histogram_variance 7.000 24.000 269.000 \n","histogram_tendency 0.000 1.000 1.000 \n","fetal_health 1.000 1.000 3.000 "]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["\n","# Generate descriptive statistics for the numerical columns in the DataFrame\n","# 'describe()' provides summary statistics such as count, mean, standard deviation, min, 25th percentile, median (50th percentile), 75th percentile, and max for each numeric column\n","# '.T' transposes the result, switching rows and columns for better readability\n","# This gives a quick statistical overview of the dataset's distribution and can highlight potential outliers or anomalies.\n","data.describe().T"]},{"cell_type":"code","execution_count":6,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:28.372449Z","iopub.status.busy":"2024-06-24T13:29:28.371963Z","iopub.status.idle":"2024-06-24T13:29:34.339043Z","shell.execute_reply":"2024-06-24T13:29:34.337669Z","shell.execute_reply.started":"2024-06-24T13:29:28.372409Z"},"trusted":true},"outputs":[{"data":{"image/png":"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"]},"metadata":{},"output_type":"display_data"}],"source":["# Generate histograms for each numerical feature in the dataset\n","# 'hist()' creates a histogram for each numeric column, showing the distribution of values\n","# 'figsize=(20, 20)' specifies the size of the figure (width and height in inches) to ensure all histograms are properly spaced and readable\n","# This is useful for visualizing the distribution of each feature, detecting skewness, and identifying potential outliers.\n","hist_plot = data.hist(figsize=(20, 20))\n"]},{"cell_type":"markdown","metadata":{},"source":["* A lot of the attributes are skewed."]},{"cell_type":"markdown","metadata":{},"source":["## Evaluating Target Vector (fetal_health)"]},{"cell_type":"code","execution_count":7,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:34.341064Z","iopub.status.busy":"2024-06-24T13:29:34.340612Z","iopub.status.idle":"2024-06-24T13:29:34.632666Z","shell.execute_reply":"2024-06-24T13:29:34.631543Z","shell.execute_reply.started":"2024-06-24T13:29:34.341027Z"},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["# Create a count plot for the 'fetal_health' column using Seaborn\n","# 'countplot()' visualizes the frequency of each category in the 'fetal_health' column, which contains categorical data representing the fetal health status\n","# 'data' specifies the DataFrame, and 'x' is the column to be plotted on the x-axis\n","# This plot shows how many instances belong to each health category (e.g., Normal, Suspect, Pathological).\n","plot1 = sns.countplot(data=data, x=\"fetal_health\")\n","\n","# Add labels to each bar in the count plot for better clarity\n","# 'bar_label()' annotates each bar with its corresponding value (count)\n","# 'container=plot1.containers[0]' ensures the labels are placed on the correct set of bars.\n","plot1.bar_label(container=plot1.containers[0])"]},{"cell_type":"code","execution_count":8,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:34.634344Z","iopub.status.busy":"2024-06-24T13:29:34.633945Z","iopub.status.idle":"2024-06-24T13:29:37.153604Z","shell.execute_reply":"2024-06-24T13:29:37.152098Z","shell.execute_reply.started":"2024-06-24T13:29:34.634314Z"},"trusted":true},"outputs":[{"data":{"image/png":"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"]},"metadata":{},"output_type":"display_data"}],"source":["# Compute the correlation matrix of the dataset\n","# 'corr()' calculates the Pearson correlation coefficients between numerical columns in the DataFrame\n","# The correlation values range from -1 to 1, where:\n","# 1 indicates a perfect positive correlation\n","# -1 indicates a perfect negative correlation\n","# 0 indicates no correlation\n","corrmat = data.corr()\n","\n","# Set the figure size for the heatmap to 15x15 inches to ensure it is large enough for easy viewing\n","plt.figure(figsize=(15, 15))\n","\n","# Define a custom color palette for the heatmap\n","# 'cols' is a list of hex color codes used to style the heatmap (from dark brown to blue shades)\n","cols = [\"#BC6C25\", \"#DDA15E\", \"#FEFAE0\", \"#E0E1DD\", \"#778DA9\", \"#415A77\"]\n","\n","# Create a heatmap using Seaborn to visualize the correlation matrix\n","# 'annot=True' displays the actual correlation values on the heatmap\n","# 'cmap=cols' applies the custom color palette for better visual distinction between different correlation values\n","sns.heatmap(corrmat, annot=True, cmap=cols)"]},{"cell_type":"code","execution_count":9,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:37.156217Z","iopub.status.busy":"2024-06-24T13:29:37.155646Z","iopub.status.idle":"2024-06-24T13:29:37.165764Z","shell.execute_reply":"2024-06-24T13:29:37.163824Z","shell.execute_reply.started":"2024-06-24T13:29:37.156167Z"},"trusted":true},"outputs":[],"source":["# Separate the dataset into features (X) and target variable (y)\n","# 'data.drop([\"fetal_health\"], axis=1)' removes the 'fetal_health' column from the dataset to create the feature matrix (X)\n","# - 'axis=1' indicates that a column (not a row) is being dropped\n","# This creates the feature matrix 'X' containing all input variables used for predictions.\n","X = data.drop([\"fetal_health\"], axis=1)\n","\n","# Assign the 'fetal_health' column to the target variable (y)\n","# 'fetal_health' is the column that contains the labels, i.e., the outcome we want to predict (Normal, Suspect, or Pathological)\n","y = data[\"fetal_health\"]"]},{"cell_type":"code","execution_count":10,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:37.172132Z","iopub.status.busy":"2024-06-24T13:29:37.171119Z","iopub.status.idle":"2024-06-24T13:29:37.188202Z","shell.execute_reply":"2024-06-24T13:29:37.186517Z","shell.execute_reply.started":"2024-06-24T13:29:37.172079Z"},"trusted":true},"outputs":[],"source":["# Split the data into training and testing sets\n","# 'train_test_split()' splits the feature matrix (X) and target variable (y) into training and testing subsets\n","# - 'test_size=0.2' specifies that 20% of the data will be allocated to the test set, while 80% will be used for training\n","# - 'random_state=42' ensures the split is reproducible, meaning the same split will occur every time the code is run\n","# This split is crucial for training the model on one portion of the data and evaluating it on another unseen portion to assess performance.\n","X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)"]},{"cell_type":"markdown","metadata":{},"source":["### Calculate the Baseline Accuracy Score"]},{"cell_type":"code","execution_count":11,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:37.190747Z","iopub.status.busy":"2024-06-24T13:29:37.190064Z","iopub.status.idle":"2024-06-24T13:29:37.205572Z","shell.execute_reply":"2024-06-24T13:29:37.203893Z","shell.execute_reply.started":"2024-06-24T13:29:37.190590Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Baseline Accuracy: 0.78\n"]}],"source":["# Calculate the baseline accuracy for the training set\n","# 'y_train.value_counts(normalize=True)' computes the distribution of target classes (fetal health categories) in y_train\n","# - Setting 'normalize=True' returns the relative frequencies (proportions) of each class\n","# 'max()' retrieves the highest proportion, representing the baseline accuracy\n","# Baseline accuracy indicates the accuracy of a model that always predicts the most frequent class, \n","# serving as a simple reference point for comparing the performance of more complex models.\n","acc_baseline = y_train.value_counts(normalize=True).max()\n","\n","# Print the baseline accuracy, rounded to two decimal places for clarity\n","print(\"Baseline Accuracy:\", round(acc_baseline, 2))\n"]},{"cell_type":"markdown","metadata":{},"source":["## Logistic Regression"]},{"cell_type":"code","execution_count":12,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:37.207868Z","iopub.status.busy":"2024-06-24T13:29:37.207479Z","iopub.status.idle":"2024-06-24T13:29:42.061634Z","shell.execute_reply":"2024-06-24T13:29:42.059569Z","shell.execute_reply.started":"2024-06-24T13:29:37.207836Z"},"trusted":true},"outputs":[{"data":{"text/html":["
Pipeline(steps=[('logisticregression', LogisticRegression(max_iter=10000))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
"],"text/plain":["Pipeline(steps=[('logisticregression', LogisticRegression(max_iter=10000))])"]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["# Create a pipeline that includes a Logistic Regression model\n","# 'make_pipeline()' constructs a pipeline, which sequentially applies a list of transformations followed by a final estimator\n","# Here, we use Logistic Regression with a maximum of 10,000 iterations to ensure convergence during training\n","model_lr = make_pipeline(\n"," LogisticRegression(max_iter=10000)\n",")\n","\n","# Fit the logistic regression model to the training data\n","# 'fit()' trains the model using the feature matrix (X_train) and (y_train)\n","# This step adjusts the model parameters based on the training data to learn the relationship between features and target classes\n","model_lr.fit(X_train, y_train)\n"]},{"cell_type":"markdown","metadata":{},"source":["**Evaluating the model**"]},{"cell_type":"code","execution_count":13,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:42.064252Z","iopub.status.busy":"2024-06-24T13:29:42.063788Z","iopub.status.idle":"2024-06-24T13:29:42.083150Z","shell.execute_reply":"2024-06-24T13:29:42.081364Z","shell.execute_reply.started":"2024-06-24T13:29:42.064217Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Training Accuracy: 0.88\n","Test Accuracy: 0.89\n"]}],"source":["# Calculate the accuracy of the logistic regression model on the training set\n","# 'model_lr.predict(X_train)' predicts the target values for the training features (X_train)\n","# 'accuracy_score()' compares the predicted values with the actual target values (y_train) to compute the accuracy\n","# Accuracy is the ratio of correctly predicted instances to the total instances in the dataset\n","acc_train = accuracy_score(y_train, model_lr.predict(X_train))\n","\n","# Calculate the accuracy of the logistic regression model on the test set\n","# 'model_lr.predict(X_test)' predicts the target values for the test features (X_test)\n","# 'accuracy_score()' compares these predicted values with the actual target values (y_test) to compute the accuracy for the test set\n","acc_test = accuracy_score(y_test, model_lr.predict(X_test))\n","\n","# Print the training accuracy, rounded to two decimal places for clarity\n","print(\"Training Accuracy:\", round(acc_train, 2))\n","\n","# Print the test accuracy, rounded to two decimal places for clarity\n","print(\"Test Accuracy:\", round(acc_test, 2))\n"]},{"cell_type":"markdown","metadata":{},"source":["## Communicating Results"]},{"cell_type":"code","execution_count":14,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:42.085880Z","iopub.status.busy":"2024-06-24T13:29:42.085198Z","iopub.status.idle":"2024-06-24T13:29:42.099604Z","shell.execute_reply":"2024-06-24T13:29:42.097944Z","shell.execute_reply.started":"2024-06-24T13:29:42.085826Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["[[9.89173531e-01 1.07651300e-02 6.13394472e-05]\n"," [2.87123575e-01 6.95056735e-01 1.78196908e-02]\n"," [9.98615025e-01 1.36293043e-03 2.20447280e-05]\n"," [9.81761287e-01 1.82379795e-02 7.33070349e-07]\n"," [8.58996837e-01 1.40716679e-01 2.86483424e-04]]\n"]}],"source":["# Predict the class probabilities for the training set using the logistic regression model\n","# 'predict_proba()' returns the probabilities for each class for the input samples in X_train\n","# The output is a 2D array where each row corresponds to a sample and each column corresponds to a class\n","y_train_pred_proba = model_lr.predict_proba(X_train)\n","\n","# Print the predicted probabilities for the first 5 samples in the training set\n","# This allows for a quick inspection of the model's confidence in its predictions\n","print(y_train_pred_proba[:5])\n"]},{"cell_type":"markdown","metadata":{},"source":["### Features and Importances"]},{"cell_type":"code","execution_count":15,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:42.102162Z","iopub.status.busy":"2024-06-24T13:29:42.101640Z","iopub.status.idle":"2024-06-24T13:29:42.113150Z","shell.execute_reply":"2024-06-24T13:29:42.111491Z","shell.execute_reply.started":"2024-06-24T13:29:42.102123Z"},"trusted":true},"outputs":[],"source":["# Get the logistic regression model from the pipeline\n","# 'named_steps' allows access to the individual steps in the pipeline by their names\n","# Here, we retrieve the logistic regression model to analyze its coefficients (importances)\n","logistic_regression = model_lr.named_steps['logisticregression']\n","\n","# Retrieve the feature names from the training set\n","# 'list(X_train.columns)' converts the column names of the feature matrix (X_train) into a list\n","# This list will be used to associate feature importances with their respective names\n","features = list(X_train.columns)\n","\n","# Get the coefficients (importances) of the logistic regression model\n","# 'coef_' contains the weights assigned to each feature by the logistic regression model\n","importances = logistic_regression.coef_[0]\n"]},{"cell_type":"code","execution_count":16,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:42.115648Z","iopub.status.busy":"2024-06-24T13:29:42.115220Z","iopub.status.idle":"2024-06-24T13:29:42.140138Z","shell.execute_reply":"2024-06-24T13:29:42.138827Z","shell.execute_reply.started":"2024-06-24T13:29:42.115614Z"},"trusted":true},"outputs":[{"data":{"text/plain":["fetal_movement 0.139693\n","histogram_tendency 0.710431\n","baseline value 0.825087\n","mean_value_of_long_term_variability 0.883436\n","abnormal_short_term_variability 0.926180\n","dtype: float64"]},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":["# Calculate the feature importances by taking the exponential of the coefficients\n","# 'np.exp(importances)' applies the exponential function to each coefficient\n","# This transformation is useful because, in logistic regression, the coefficients represent log-odds\n","# Taking the exponent gives the odds ratios, making the importances easier to interpret in terms of relative influence\n","feat_imp = pd.Series(np.exp(importances), index=features).sort_values()\n","\n","# Display the top feature importances\n","# 'head()' returns the first few entries (by default, 5) of the sorted feature importances\n","# This allows for a quick view of the most influential features in the model\n","feat_imp.head()\n"]},{"cell_type":"code","execution_count":17,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:42.143168Z","iopub.status.busy":"2024-06-24T13:29:42.141853Z","iopub.status.idle":"2024-06-24T13:29:42.470875Z","shell.execute_reply":"2024-06-24T13:29:42.469375Z","shell.execute_reply.started":"2024-06-24T13:29:42.143114Z"},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["# Plot the least important features of the logistic regression model\n","# 'feat_imp.tail(5)' selects the bottom 5 features with the lowest odds ratios, indicating their relative insignificance\n","# 'plot(kind=\"barh\")' creates a horizontal bar plot to visualize these features\n","# A horizontal bar plot is often easier to read when dealing with feature names, especially if they are long\n","feat_imp.tail(5).plot(kind=\"barh\")\n","\n","# Set the x-axis label to indicate that the values represent Odds Ratios\n","plt.xlabel('Odds Ratio')\n","\n","# Set the y-axis label to indicate that these are the feature names\n","plt.ylabel('Features')\n"]},{"cell_type":"markdown","metadata":{},"source":["* This plot indicates the features with the odds most likely to cause fetal death."]},{"cell_type":"code","execution_count":18,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:42.473186Z","iopub.status.busy":"2024-06-24T13:29:42.472705Z","iopub.status.idle":"2024-06-24T13:29:42.715924Z","shell.execute_reply":"2024-06-24T13:29:42.714705Z","shell.execute_reply.started":"2024-06-24T13:29:42.473148Z"},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["# Plot the most important features of the logistic regression model\n","# 'feat_imp.head(5)' selects the top 5 features with the highest odds ratios, indicating their relative significance in predicting the target variable\n","# 'plot(kind=\"barh\")' creates a horizontal bar plot to visualize these features\n","# A horizontal bar plot is effective for displaying feature names clearly, especially if they are lengthy\n","feat_imp.head(5).plot(kind=\"barh\")\n","\n","# Set the x-axis label to indicate that the values represent Odds Ratios\n","plt.xlabel('Odds Ratio')\n","\n","# Set the y-axis label to indicate that these are the feature names\n","plt.ylabel('Features')\n"]},{"cell_type":"markdown","metadata":{},"source":["* This plot indicates the features with the odds least likely to cause fetal death."]},{"cell_type":"code","execution_count":19,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:42.717896Z","iopub.status.busy":"2024-06-24T13:29:42.717514Z","iopub.status.idle":"2024-06-24T13:29:43.168566Z","shell.execute_reply":"2024-06-24T13:29:43.166997Z","shell.execute_reply.started":"2024-06-24T13:29:42.717863Z"},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["# Plot all feature importances of the logistic regression model\n","# 'feat_imp' contains the odds ratios for each feature, indicating their relative importance in predicting the target variable\n","# 'plot(kind=\"barh\")' creates a horizontal bar plot to visualize all features' importances\n","# This allows for a comprehensive view of how each feature influences the model's predictions\n","feat_imp.plot(kind=\"barh\")\n","\n","# Set the x-axis label to indicate that the values represent Odds Ratios\n","plt.xlabel('Odds Ratio')\n","\n","# Set the y-axis label to indicate that these are the feature names\n","plt.ylabel('Features')\n"]},{"cell_type":"markdown","metadata":{},"source":["* This plot indicates all features with their odds of likely causing fetal death."]},{"cell_type":"markdown","metadata":{},"source":["## Decision Tree Classifier"]},{"cell_type":"code","execution_count":20,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:43.171181Z","iopub.status.busy":"2024-06-24T13:29:43.170668Z","iopub.status.idle":"2024-06-24T13:29:43.207431Z","shell.execute_reply":"2024-06-24T13:29:43.205711Z","shell.execute_reply.started":"2024-06-24T13:29:43.171138Z"},"trusted":true},"outputs":[{"data":{"text/html":["
Pipeline(steps=[('decisiontreeclassifier',\n","                 DecisionTreeClassifier(random_state=42))])
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"],"text/plain":["Pipeline(steps=[('decisiontreeclassifier',\n"," DecisionTreeClassifier(random_state=42))])"]},"execution_count":20,"metadata":{},"output_type":"execute_result"}],"source":["# Create a pipeline that includes a Decision Tree Classifier\n","# 'make_pipeline()' constructs a pipeline, which allows for sequential application of transformations followed by an estimator\n","# Here, we use Decision Tree Classifier with a fixed random state for reproducibility\n","model_dt = make_pipeline(\n"," DecisionTreeClassifier(random_state=42)\n",")\n","\n","# Fit the decision tree model to the training data\n","# 'fit()' trains the model using the feature matrix (X_train) and the target variable (y_train)\n","# This step optimizes the model's parameters based on the training data to learn the relationship between features and target classes\n","model_dt.fit(X_train, y_train)\n"]},{"cell_type":"code","execution_count":21,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:43.209312Z","iopub.status.busy":"2024-06-24T13:29:43.208820Z","iopub.status.idle":"2024-06-24T13:29:43.226651Z","shell.execute_reply":"2024-06-24T13:29:43.225033Z","shell.execute_reply.started":"2024-06-24T13:29:43.209269Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Training Accuracy: 1.0\n","Test Accuracy: 0.92\n"]}],"source":["# Calculate the accuracy of the decision tree model on the training set\n","# 'model_dt.predict(X_train)' predicts the target values for the training features (X_train)\n","# 'accuracy_score()' compares the predicted values with the actual target values (y_train) to compute the accuracy\n","# Accuracy is the ratio of correctly predicted instances to the total instances in the dataset\n","acc_train_dt = accuracy_score(y_train, model_dt.predict(X_train))\n","\n","# Calculate the accuracy of the decision tree model on the test set\n","# 'model_dt.predict(X_test)' predicts the target values for the test features (X_test)\n","# 'accuracy_score()' compares these predicted values with the actual target values (y_test) to compute the accuracy for the test set\n","acc_test_dt = accuracy_score(y_test, model_dt.predict(X_test))\n","\n","# Print the training accuracy, rounded to two decimal places for clarity\n","print(\"Training Accuracy:\", round(acc_train_dt, 2))\n","\n","# Print the test accuracy, rounded to two decimal places for clarity\n","print(\"Test Accuracy:\", round(acc_test_dt, 2))\n"]},{"cell_type":"markdown","metadata":{},"source":["* While the test accuracy of 92% is good, the perfect training accuracy suggests potential overfitting. Revising the hyperparameters and using cross-validation can help improve the model's performance and generalizability."]},{"cell_type":"code","execution_count":22,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:43.229332Z","iopub.status.busy":"2024-06-24T13:29:43.228801Z","iopub.status.idle":"2024-06-24T13:29:47.016355Z","shell.execute_reply":"2024-06-24T13:29:47.014779Z","shell.execute_reply.started":"2024-06-24T13:29:43.229288Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Best Model Test Accuracy: 0.93\n"]}],"source":["# Define the parameter grid for hyperparameter tuning of the Decision Tree Classifier\n","# 'param_grid' is a dictionary where keys represent the parameters to tune and values are lists of possible values to explore\n","# - 'max_depth': Controls the maximum depth of the tree (None means nodes are expanded until all leaves are pure or contain fewer than min_samples_split samples)\n","# - 'min_samples_split': Minimum number of samples required to split an internal node\n","# - 'min_samples_leaf': Minimum number of samples required to be at a leaf node\n","param_grid = {\n"," 'decisiontreeclassifier__max_depth': [None, 10, 20, 30],\n"," 'decisiontreeclassifier__min_samples_split': [2, 5, 10],\n"," 'decisiontreeclassifier__min_samples_leaf': [1, 2, 4]\n","}\n","\n","# Initialize the GridSearchCV for hyperparameter tuning\n","# 'GridSearchCV' searches through the specified hyperparameter grid to find the best combination of parameters based on cross-validation\n","# 'cv=5' specifies 5-fold cross-validation, where the training set is split into 5 parts for training and validation\n","# 'scoring='accuracy'' uses accuracy as the metric to evaluate model performance\n","# 'n_jobs=-1' allows the search to utilize all available CPU cores for parallel processing\n","grid_search_dt = GridSearchCV(model_dt, param_grid, cv=5, scoring='accuracy', n_jobs=-1)\n","\n","# Fit the grid search model to the training data\n","# This step performs the hyperparameter tuning by evaluating all combinations of parameters in the grid\n","grid_search_dt.fit(X_train, y_train)\n","\n","# Retrieve the best hyperparameters found during the grid search\n","best_params_dt = grid_search_dt.best_params_\n","\n","# Retrieve the best model that was found during the grid search\n","best_model_dt = grid_search_dt.best_estimator_\n","\n","# Evaluate the best model on the test set and compute its accuracy\n","best_model_score_dt = accuracy_score(y_test, best_model_dt.predict(X_test))\n","\n","# Print the test accuracy of the best model, rounded to two decimal places for clarity\n","print(\"Best Model Test Accuracy:\", round(best_model_score_dt, 2))"]},{"cell_type":"markdown","metadata":{},"source":["* The Best Model Test Accuracy of 93% indicates that the model generalizes well to new, unseen data, achieving high accuracy."]},{"cell_type":"code","execution_count":23,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:47.018616Z","iopub.status.busy":"2024-06-24T13:29:47.018217Z","iopub.status.idle":"2024-06-24T13:29:47.131475Z","shell.execute_reply":"2024-06-24T13:29:47.130055Z","shell.execute_reply.started":"2024-06-24T13:29:47.018576Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Cross-Validation Accuracy: 0.91 (+/- 0.02)\n"]}],"source":["# Perform cross-validation to evaluate the model's performance on the training data\n","# 'cross_val_score()' computes the accuracy of the model using 5-fold cross-validation\n","# - 'model_dt' is the Decision Tree model to be evaluated\n","# - 'X_train' and 'y_train' are the feature matrix and target variable for the training data\n","# - 'cv=5' specifies that 5-fold cross-validation should be used\n","# - 'scoring='accuracy'' specifies that accuracy is the metric to evaluate the model\n","cv_scores = cross_val_score(model_dt, X_train, y_train, cv=5, scoring='accuracy')\n","\n","# Print the mean accuracy and the standard deviation of the cross-validation scores\n","# The mean gives an overall estimate of model performance, while the standard deviation indicates the variability across folds\n","# The standard deviation is multiplied by 2 to provide a 95% confidence interval for the mean accuracy\n","print(\"Cross-Validation Accuracy: {:.2f} (+/- {:.2f})\".format(cv_scores.mean(), cv_scores.std() * 2))\n"]},{"cell_type":"markdown","metadata":{},"source":["* The Cross-Validation Accuracy of 91% (+/- 0.02) demonstrates that the model's performance is robust and stable across different subsets of the training data.\n","\n","* These scores collectively suggest that the decision tree classifier, after hyperparameter tuning and cross-validation, is performing effectively and reliably on the given dataset."]},{"cell_type":"markdown","metadata":{},"source":["## Random Forest Classification"]},{"cell_type":"code","execution_count":24,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:47.133488Z","iopub.status.busy":"2024-06-24T13:29:47.133052Z","iopub.status.idle":"2024-06-24T13:29:47.654047Z","shell.execute_reply":"2024-06-24T13:29:47.652765Z","shell.execute_reply.started":"2024-06-24T13:29:47.133449Z"},"trusted":true},"outputs":[{"data":{"text/html":["
Pipeline(steps=[('randomforestclassifier',\n","                 RandomForestClassifier(random_state=42))])
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"],"text/plain":["Pipeline(steps=[('randomforestclassifier',\n"," RandomForestClassifier(random_state=42))])"]},"execution_count":24,"metadata":{},"output_type":"execute_result"}],"source":["# Create a pipeline that includes a Random Forest Classifier\n","# 'make_pipeline()' constructs a pipeline for sequential application of transformations followed by an estimator\n","# In this case, we are using a Random Forest Classifier with a fixed random state for reproducibility\n","model_rf = make_pipeline(\n"," RandomForestClassifier(random_state=42)\n",")\n","\n","# Fit the random forest model to the training data\n","# 'fit()' trains the model using the feature matrix (X_train) and the target variable (y_train)\n","# This step optimizes the model's parameters based on the training data to learn the relationship between features and target classes\n","model_rf.fit(X_train, y_train)\n"]},{"cell_type":"code","execution_count":25,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:47.655879Z","iopub.status.busy":"2024-06-24T13:29:47.655491Z","iopub.status.idle":"2024-06-24T13:29:47.713982Z","shell.execute_reply":"2024-06-24T13:29:47.712534Z","shell.execute_reply.started":"2024-06-24T13:29:47.655846Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Training Accuracy: 1.0\n","Test Accuracy: 0.95\n"]}],"source":["# Calculate the accuracy of the random forest model on the training set\n","# 'model_rf.predict(X_train)' predicts the target values for the training features (X_train)\n","# 'accuracy_score()' compares the predicted values with the actual target values (y_train) to compute the accuracy\n","# Accuracy is the ratio of correctly predicted instances to the total instances in the training dataset\n","acc_train_rf = accuracy_score(y_train, model_rf.predict(X_train))\n","\n","# Calculate the accuracy of the random forest model on the test set\n","# 'model_rf.predict(X_test)' predicts the target values for the test features (X_test)\n","# 'accuracy_score()' compares these predicted values with the actual target values (y_test) to compute the accuracy for the test set\n","acc_test_rf = accuracy_score(y_test, model_rf.predict(X_test))\n","\n","# Print the training accuracy, rounded to two decimal places for clarity\n","print(\"Training Accuracy:\", round(acc_train_rf, 2))\n","\n","# Print the test accuracy, rounded to two decimal places for clarity\n","print(\"Test Accuracy:\", round(acc_test_rf, 2))\n"]},{"cell_type":"markdown","metadata":{},"source":["* The training accuracy is 1.0, indicating perfect accuracy on the training set, which may suggest overfitting.\n","* The test accuracy is 0.95, which is high and suggests good performance on unseen data."]},{"cell_type":"code","execution_count":26,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:29:47.716294Z","iopub.status.busy":"2024-06-24T13:29:47.715818Z","iopub.status.idle":"2024-06-24T13:32:29.762756Z","shell.execute_reply":"2024-06-24T13:32:29.761128Z","shell.execute_reply.started":"2024-06-24T13:29:47.716256Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Best Model Test Accuracy: 0.95\n"]}],"source":["# Define the parameter grid for hyperparameter tuning of the Random Forest Classifier\n","# 'param_grid_rf' is a dictionary where keys represent the parameters to tune and values are lists of possible values to explore\n","# - 'n_estimators': The number of trees in the forest (more trees can improve performance but also increase computational cost)\n","# - 'max_depth': Controls the maximum depth of the trees (None means nodes are expanded until all leaves are pure or contain fewer than min_samples_split samples)\n","# - 'min_samples_split': Minimum number of samples required to split an internal node\n","# - 'min_samples_leaf': Minimum number of samples required to be at a leaf node\n","param_grid_rf = {\n"," 'randomforestclassifier__n_estimators': [100, 200, 300],\n"," 'randomforestclassifier__max_depth': [None, 10, 20, 30],\n"," 'randomforestclassifier__min_samples_split': [2, 5, 10],\n"," 'randomforestclassifier__min_samples_leaf': [1, 2, 4]\n","}\n","\n","# Initialize the GridSearchCV for hyperparameter tuning\n","# 'GridSearchCV' searches through the specified hyperparameter grid to find the best combination of parameters based on cross-validation\n","# 'cv=5' specifies 5-fold cross-validation, where the training set is split into 5 parts for training and validation\n","# 'scoring='accuracy'' uses accuracy as the metric to evaluate model performance\n","# 'n_jobs=-1' allows the search to utilize all available CPU cores for parallel processing\n","grid_search_rf = GridSearchCV(model_rf, param_grid_rf, cv=5, scoring='accuracy', n_jobs=-1)\n","\n","# Fit the grid search model to the training data\n","# This step performs the hyperparameter tuning by evaluating all combinations of parameters in the grid\n","grid_search_rf.fit(X_train, y_train)\n","\n","# Retrieve the best hyperparameters found during the grid search\n","best_params_rf = grid_search_rf.best_params_\n","\n","# Retrieve the best model that was found during the grid search\n","best_model_rf = grid_search_rf.best_estimator_\n","\n","# Evaluate the best model on the test set and compute its accuracy\n","best_model_score_rf = accuracy_score(y_test, best_model_rf.predict(X_test))\n","\n","# Print the test accuracy of the best model, rounded to two decimal places for clarity\n","print(\"Best Model Test Accuracy:\", round(best_model_score_rf, 2))\n"]},{"cell_type":"markdown","metadata":{},"source":["* The best model test accuracy remains at 0.95, indicating that hyperparameter tuning did not significantly improve performance, but it did help confirm the robustness of the initial model."]},{"cell_type":"code","execution_count":27,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:32:29.765157Z","iopub.status.busy":"2024-06-24T13:32:29.764665Z","iopub.status.idle":"2024-06-24T13:32:32.024765Z","shell.execute_reply":"2024-06-24T13:32:32.023025Z","shell.execute_reply.started":"2024-06-24T13:32:29.765122Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Cross-Validation Accuracy: 0.94 (+/- 0.02)\n"]}],"source":["# Perform cross-validation to evaluate the model's performance on the training data\n","# 'cross_val_score()' computes the accuracy of the model using 5-fold cross-validation\n","# - 'model_rf' is the Random Forest model to be evaluated\n","# - 'X_train' and 'y_train' are the feature matrix and target variable for the training data\n","# - 'cv=5' specifies that 5-fold cross-validation should be used\n","# - 'scoring='accuracy'' specifies that accuracy is the metric to evaluate the model\n","cv_scores_rf = cross_val_score(model_rf, X_train, y_train, cv=5, scoring='accuracy')\n","\n","# Print the mean accuracy and the standard deviation of the cross-validation scores\n","# The mean provides an overall estimate of model performance, while the standard deviation indicates variability across folds\n","# The standard deviation is multiplied by 2 to provide a 95% confidence interval for the mean accuracy\n","print(\"Cross-Validation Accuracy: {:.2f} (+/- {:.2f})\".format(cv_scores_rf.mean(), cv_scores_rf.std() * 2))\n"]},{"cell_type":"markdown","metadata":{},"source":["* The cross-validation accuracy is 0.94 with a small variability (+/- 0.02), indicating that the model performs consistently well across different subsets of the training data."]},{"cell_type":"markdown","metadata":{},"source":["## Gradient Boosting Classification"]},{"cell_type":"code","execution_count":28,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:32:32.032195Z","iopub.status.busy":"2024-06-24T13:32:32.031736Z","iopub.status.idle":"2024-06-24T13:32:33.782859Z","shell.execute_reply":"2024-06-24T13:32:33.781464Z","shell.execute_reply.started":"2024-06-24T13:32:32.032164Z"},"trusted":true},"outputs":[{"data":{"text/html":["
Pipeline(steps=[('gradientboostingclassifier',\n","                 GradientBoostingClassifier(random_state=42))])
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"],"text/plain":["Pipeline(steps=[('gradientboostingclassifier',\n"," GradientBoostingClassifier(random_state=42))])"]},"execution_count":28,"metadata":{},"output_type":"execute_result"}],"source":["# Create a pipeline that includes a Gradient Boosting Classifier\n","# 'make_pipeline()' constructs a pipeline for sequential application of transformations followed by an estimator\n","# In this case, we are using a Gradient Boosting Classifier with a fixed random state for reproducibility\n","model_gb = make_pipeline(\n"," GradientBoostingClassifier(random_state=42)\n",")\n","\n","# Fit the gradient boosting model to the training data\n","# 'fit()' trains the model using the feature matrix (X_train) and the target variable (y_train)\n","# This step optimizes the model's parameters based on the training data to learn the relationship between features and target classes\n","model_gb.fit(X_train, y_train)\n"]},{"cell_type":"code","execution_count":29,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:32:33.785426Z","iopub.status.busy":"2024-06-24T13:32:33.784892Z","iopub.status.idle":"2024-06-24T13:32:33.814525Z","shell.execute_reply":"2024-06-24T13:32:33.812647Z","shell.execute_reply.started":"2024-06-24T13:32:33.785382Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Training Accuracy: 0.99\n","Test Accuracy: 0.95\n"]}],"source":["# Calculate the accuracy of the gradient boosting model on the training set\n","# 'model_gb.predict(X_train)' predicts the target values for the training features (X_train)\n","# 'accuracy_score()' compares the predicted values with the actual target values (y_train) to compute the accuracy\n","# Accuracy is the ratio of correctly predicted instances to the total instances in the training dataset\n","acc_train_gb = accuracy_score(y_train, model_gb.predict(X_train))\n","\n","# Calculate the accuracy of the gradient boosting model on the test set\n","# 'model_gb.predict(X_test)' predicts the target values for the test features (X_test)\n","# 'accuracy_score()' compares these predicted values with the actual target values (y_test) to compute the accuracy for the test set\n","acc_test_gb = accuracy_score(y_test, model_gb.predict(X_test))\n","\n","# Print the training accuracy, rounded to two decimal places for clarity\n","print(\"Training Accuracy:\", round(acc_train_gb, 2))\n","\n","# Print the test accuracy, rounded to two decimal places for clarity\n","print(\"Test Accuracy:\", round(acc_test_gb, 2))\n"]},{"cell_type":"markdown","metadata":{},"source":["* The training accuracy is 0.99, indicating very high accuracy on the training set, which suggests potential overfitting.\n","* The test accuracy is 0.95, indicating good performance on unseen data but slightly lower than the training accuracy, which suggests overfitting but still good generalization."]},{"cell_type":"code","execution_count":30,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:32:33.817117Z","iopub.status.busy":"2024-06-24T13:32:33.816564Z","iopub.status.idle":"2024-06-24T13:38:26.542258Z","shell.execute_reply":"2024-06-24T13:38:26.540640Z","shell.execute_reply.started":"2024-06-24T13:32:33.817074Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Best Model Test Accuracy: 0.96\n"]}],"source":["# Define the parameter grid for RandomizedSearchCV\n","# 'param_distributions_gb' is a dictionary where keys represent the hyperparameters to tune and values are lists of possible values to explore\n","# - 'n_estimators': The number of boosting stages to be run (more estimators can improve performance but also increase computational cost)\n","# - 'learning_rate': Determines the contribution of each tree (lower values require more trees to maintain performance)\n","# - 'max_depth': The maximum depth of the individual regression estimators (controls overfitting)\n","# - 'min_samples_split': The minimum number of samples required to split an internal node\n","# - 'min_samples_leaf': The minimum number of samples required to be at a leaf node\n","param_distributions_gb = {\n"," 'gradientboostingclassifier__n_estimators': [100, 200, 300],\n"," 'gradientboostingclassifier__learning_rate': [0.01, 0.1, 0.2],\n"," 'gradientboostingclassifier__max_depth': [3, 5, 7],\n"," 'gradientboostingclassifier__min_samples_split': [2, 5, 10],\n"," 'gradientboostingclassifier__min_samples_leaf': [1, 2, 4]\n","}\n","\n","# Initialize RandomizedSearchCV for hyperparameter tuning\n","# 'RandomizedSearchCV' samples a fixed number of parameter settings from the specified distributions to find the best combination of parameters\n","# - 'n_iter=50' specifies the number of different combinations to sample\n","# - 'cv=5' specifies 5-fold cross-validation to evaluate model performance for each combination\n","# - 'scoring='accuracy'' uses accuracy as the metric to evaluate model performance\n","# - 'n_jobs=-1' allows the search to utilize all available CPU cores for parallel processing\n","# - 'random_state=42' ensures reproducibility of the results\n","random_search_gb = RandomizedSearchCV(\n"," model_gb, \n"," param_distributions=param_distributions_gb, \n"," n_iter=50, \n"," cv=5, \n"," scoring='accuracy', \n"," n_jobs=-1, \n"," random_state=42\n",")\n","\n","# Perform the randomized search\n","# This step evaluates the specified parameter settings on the training data to identify the best-performing configuration\n","random_search_gb.fit(X_train, y_train)\n","\n","# Retrieve the best hyperparameters found during the randomized search\n","best_params_gb = random_search_gb.best_params_\n","\n","# Retrieve the best model that was found during the randomized search\n","best_model_gb = random_search_gb.best_estimator_\n","\n","# Evaluate the best model on the test set and compute its accuracy\n","best_model_score_gb = accuracy_score(y_test, best_model_gb.predict(X_test))\n","\n","# Print the test accuracy of the best model, rounded to two decimal places for clarity\n","print(\"Best Model Test Accuracy:\", round(best_model_score_gb, 2))\n"]},{"cell_type":"markdown","metadata":{},"source":["* The best model test accuracy is 0.96, indicating a slight improvement after hyperparameter tuning."]},{"cell_type":"code","execution_count":31,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:38:26.544738Z","iopub.status.busy":"2024-06-24T13:38:26.544252Z","iopub.status.idle":"2024-06-24T13:39:11.100761Z","shell.execute_reply":"2024-06-24T13:39:11.099411Z","shell.execute_reply.started":"2024-06-24T13:38:26.544701Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Cross-Validation Accuracy: 0.95 (+/- 0.02)\n"]}],"source":["# Perform cross-validation to evaluate the performance of the best gradient boosting model\n","# 'cross_val_score()' computes the accuracy of the model using 5-fold cross-validation\n","# - 'best_model_gb' is the best gradient boosting model identified through hyperparameter tuning\n","# - 'X_train' and 'y_train' are the feature matrix and target variable for the training data\n","# - 'cv=5' specifies that 5-fold cross-validation should be used\n","# - 'scoring='accuracy'' specifies that accuracy is the metric used to evaluate the model's performance\n","cv_scores_gb = cross_val_score(best_model_gb, X_train, y_train, cv=5, scoring='accuracy')\n","\n","# Print the mean accuracy and the standard deviation of the cross-validation scores\n","# The mean accuracy provides an overall estimate of model performance, while the standard deviation indicates variability across the different folds\n","# The standard deviation is multiplied by 2 to provide a rough estimate of the 95% confidence interval for the mean accuracy\n","print(\"Cross-Validation Accuracy: {:.2f} (+/- {:.2f})\".format(cv_scores_gb.mean(), cv_scores_gb.std() * 2))\n"]},{"cell_type":"markdown","metadata":{},"source":["* The cross-validation accuracy is 0.95 with a small variability (+/- 0.02), indicating that the model performs consistently well across different subsets of the training data."]},{"cell_type":"markdown","metadata":{},"source":["## Model Selection"]},{"cell_type":"code","execution_count":32,"metadata":{"execution":{"iopub.execute_input":"2024-06-24T13:39:11.102766Z","iopub.status.busy":"2024-06-24T13:39:11.102392Z","iopub.status.idle":"2024-06-24T13:39:11.155203Z","shell.execute_reply":"2024-06-24T13:39:11.153734Z","shell.execute_reply.started":"2024-06-24T13:39:11.102736Z"},"trusted":true},"outputs":[{"data":{"text/html":["
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Model
Test Accuracy
0.948357Gradient Boosting
0.946009Random Forest
0.922535Decision Tree
0.894366Logistic Regression
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"],"text/plain":[" Model\n","Test Accuracy \n","0.948357 Gradient Boosting\n","0.946009 Random Forest\n","0.922535 Decision Tree\n","0.894366 Logistic Regression"]},"execution_count":32,"metadata":{},"output_type":"execute_result"}],"source":["# List of model names for identification\n","model_names = [\"Logistic Regression\", \"Decision Tree\", \"Random Forest\", \"Gradient Boosting\"]\n","\n","# Calculate the test accuracy for each model using the 'score()' method\n","# Each model's accuracy on the test set (X_test, y_test) is computed and stored in the 'test_scores' list\n","test_scores = [model_lr.score(X_test, y_test), # Accuracy for Logistic Regression\n"," model_dt.score(X_test, y_test), # Accuracy for Decision Tree\n"," model_rf.score(X_test, y_test), # Accuracy for Random Forest\n"," model_gb.score(X_test, y_test)] # Accuracy for Gradient Boosting\n","\n","# Create a DataFrame to organize model performance results\n","# 'pd.DataFrame()' constructs a DataFrame with model names and their corresponding test accuracies\n","results_test = pd.DataFrame({\n"," \"Model\": model_names, # Column for model names\n"," \"Test Accuracy\": test_scores # Column for test accuracies\n","})\n","\n","# Sort the DataFrame by the 'Test Accuracy' column in descending order\n","# This allows for easy identification of the best-performing models based on accuracy\n","results_test = results_test.sort_values(by=\"Test Accuracy\", ascending=False)\n","\n","# Set 'Test Accuracy' as the index of the DataFrame for better readability in the output\n","results_test = results_test.set_index(\"Test Accuracy\")\n","\n","# Display the DataFrame with the sorted model performance results\n","# This shows which models performed the best on the test data based on accuracy\n","results_test\n"]},{"cell_type":"markdown","metadata":{},"source":["The test accuracy results for the models show that Gradient Boosting achieved the highest performance with approximately 94.84%, followed closely by Random Forest at 94.60%. Decision Tree performed slightly lower with an accuracy of about 92.25%, while Logistic Regression had the lowest accuracy at 89.20%. These findings indicate that ensemble methods like Gradient Boosting and Random Forest are well-suited for the dataset, demonstrating strong predictive power on unseen data compared to simpler models like Decision Tree and Logistic Regression."]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.12.5"}},"nbformat":4,"nbformat_minor":5}