{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"0 - NaiveBayes - Classification - Syntehic Data.ipynb","provenance":[{"file_id":"1t2_gCaPq0n8IBy97O8HMmiHDGh_wXmOO","timestamp":1521481985334}],"collapsed_sections":[]},"kernelspec":{"name":"python37464bit59e23452f18a48559a01e43bee303f02","display_name":"Python 3.7.4 64-bit"},"metadata":{"interpreter":{"hash":"b82ecaaff3c245f5ab267cc94a5fe43d31888c53cf2a4b652d7bb486c58b7eaf"}}},"cells":[{"source":["# 06MBIG - Machine Learning  \n","## Álvaro González Rodríguez  \n","### 74746657S\n","\n","En este notebook se pretende devolver una solución al problema de la competición del Dengue de DrivenData.\n","(https://www.drivendata.org/competitions/44/dengai-predicting-disease-spread/).  \n","El objetivo es predecir los casos totales de dengue en los días especificados en el dataset *dengue_features_test.csv*.  \n","La puntuación mínima que debemos obtener es de MAE = 29.2764"],"cell_type":"markdown","metadata":{}},{"source":["---\n","# Actividad 2 - Predicción\n","\n","En esta actividad usaremos los datos preprocesados de la actividad anterior para crear modelos de Machine Learning visto en clase y predecir los casos totales de Dengue del dataset de test.\n","\n","Lo primero que haremos será cargar los datos preperocesados guardados."],"cell_type":"markdown","metadata":{}},{"cell_type":"code","execution_count":4,"metadata":{},"outputs":[],"source":["import pandas as pd\n","from sklearn.preprocessing import MinMaxScaler\n","from sklearn.decomposition import PCA\n","from sklearn.linear_model import LinearRegression\n","from sklearn.model_selection import TimeSeriesSplit, KFold\n","from sklearn.metrics import mean_absolute_error\n","from sklearn.neighbors import KNeighborsRegressor\n","from sklearn.ensemble import RandomForestRegressor\n","import matplotlib.pyplot as plt"]},{"cell_type":"code","execution_count":5,"metadata":{},"outputs":[],"source":["# Cargamos los datos de la actividad 1\n","train = pd.read_csv('dengue_train.csv')\n","test = pd.read_csv('dengue_test.csv')"]},{"source":["El siguiente paso que tenemos que hacer es separar la variable independiente de las dependientes.\n","Hecho esto, preprocesamos nuestros datos mediante el transformardor `MinMaxScaler()` de Scikit-Learn para reajustar nuestros datos al intervalo (0,1)."],"cell_type":"markdown","metadata":{}},{"cell_type":"code","execution_count":6,"metadata":{},"outputs":[],"source":["# Definimos dataset de Train, Test y separamos en variables dependientes e independiente.\n","X_train = train.drop('total_cases', axis=1)\n","X_test = test\n","y_train = train['total_cases']\n","\n","# Definimos transformador\n","transformer = MinMaxScaler(feature_range=[0,1]).fit(X_train)\n","\n","# # Normalizamos los datos:\n","X_train_norm = transformer.transform(X_train)\n","X_test_norm = transformer.transform(X_test)"]},{"source":["### PCA - Reducción de dimensionalidad  \n","\n","Realizamos un algoritmo de reducción de dimensionalidad para evitar usar más variables de las debidas. Buscamos un número de componentes principales alto, tal que explique de manera adecuada la varianza de nuestros datos. En la actividad anterior vimos que un número de 4 componentes principales nos explicaba un 96.68% de varianza, nos quedaremos con ese valor."],"cell_type":"markdown","metadata":{}},{"cell_type":"code","execution_count":7,"metadata":{},"outputs":[],"source":["# Definimos transformador PCA con 4 componentes\n","pca = PCA(n_components=4)\n","\n","# # Reducimos dimensionalidad\n","X_train_norm_pca = pca.fit_transform(X_train_norm)\n","X_test_norm_pca = pca.transform(X_test_norm)"]},{"source":["Ahora que tenemos nuestros datos preprocesados, el siguiente paso será decidir qué modelos de regresión usaremos para predecir los casos de Dengue.  \n","\n","Los modelos que escogeremos serán:\n","- `LinearRegression`\n","- `RandomForestRegressor`\n","- `KNeighborsRegressor`\n","\n","todos ellos de la librería Scikit-Learn."],"cell_type":"markdown","metadata":{}},{"cell_type":"code","execution_count":8,"metadata":{},"outputs":[],"source":["Kfold_splits = 5\n","pca = PCA(n_components=4)\n","\n","# Dividiremos el conjunto de Train en subtrain y subtest 10 veces (aleatoriamente)\n","cv = TimeSeriesSplit(n_splits=5)\n","\n","cv = KFold(n_splits=Kfold_splits, \n","           shuffle=False)"]},{"source":["## Linear Regression"],"cell_type":"markdown","metadata":{}},{"cell_type":"code","execution_count":9,"metadata":{},"outputs":[{"output_type":"stream","name":"stdout","text":["Test Average MAE:  27.393241906410395\nTrain Average MAE:  20.1212322585171\n"]}],"source":["# Definimos el modelo a usar\n","model = LinearRegression()\n","\n","list_mae_test = []\n","list_mae_train = []\n","for subtrain, subtest in cv.split(train):\n","        \n","    # Dividimos nuestro dataset de train en dos subconjuntos\n","    # para entrenar y evaluar nuestros modelos\n","    X_subtrain = train.loc[subtrain]\n","    y_subtrain = train.loc[subtrain]['total_cases']\n","    X_subtest = train.loc[subtest]\n","    y_subtest = train.loc[subtest]['total_cases']\n","\n","    # Definimos transformador\n","    transformer = MinMaxScaler(feature_range=[0,1]).fit(X_subtrain)\n","    # Normalizamos los datos:\n","    X_subtrain_norm = transformer.transform(X_subtrain)\n","    X_subtest_norm = transformer.transform(X_subtest)\n","\n","    # Reducimos dimensionalidad\n","    X_subtrain_norm_pca = pca.fit_transform(X_subtrain_norm)\n","    X_subtest_norm_pca = pca.transform(X_subtest_norm)\n","\n","    # Entrenamos modelo con conjunto subtrain\n","    model.fit(X = X_subtrain_norm_pca,\n","                y = y_subtrain)\n","    \n","    # Predecimos con el modelo entrenado\n","    pred_test = model.predict(X = X_subtest_norm_pca)\n","    pred_train = model.predict(X = X_subtrain_norm_pca)\n","\n","    # Evaluamos modelo\n","    mae_test = mean_absolute_error(y_subtest, pred_test)\n","    mae_train = mean_absolute_error(y_subtrain, pred_train)\n","\n","    # Guardamos el valor del MAE para luego hacer la media\n","    list_mae_test.append(mae_test)\n","    list_mae_train.append(mae_train)\n","\n","# Calculamos la media del MAE    \n","total_scores_test = sum(list_mae_test)/len(list_mae_test)\n","total_scores_train = sum(list_mae_train)/len(list_mae_train)\n","\n","print('Test Average MAE: ', total_scores_test)\n","print('Train Average MAE: ', total_scores_train)"]},{"cell_type":"code","execution_count":10,"metadata":{},"outputs":[],"source":["# Definimos el modelo\n","model = LinearRegression()\n","\n","# Modelo con 4 variables\n","model.fit(X_train_norm_pca, y_train)\n","\n","# Hacemos predicciones sobre el test\n","predictions = (model.predict(X_test_norm_pca)).astype('int')\n","\n","# Convertimos a 0 los valores negativos\n","predictions[predictions<0] = 0\n","\n","# Guardamos los resultados en un DataFrame\n","results = pd.read_csv('./dengue_features_test.csv', usecols=['city', 'year', 'weekofyear'])\n","results['total_cases'] = predictions\n","\n","results.to_csv('LinearRegression_results.csv', index=False)"]},{"source":["## Random 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= range(2,20,1)\n","total_scores_test = []\n","total_scores_train = []\n","for estimator in parameters:\n","\n","    list_mae_test = []\n","    list_mae_train = []\n","\n","    # Definimos el modelo a usar\n","    model = RandomForestRegressor(n_estimators=20, \n","                                  criterion='mae',\n","                                  max_depth=estimator,\n","                                  n_jobs=-1,\n","                                  random_state=23)\n","    for subtrain, subtest in cv.split(train):\n","            \n","        # Dividimos nuestro dataset de train en dos subconjuntos\n","        # para entrenar y evaluar nuestros modelos\n","        X_subtrain = train.loc[subtrain]\n","        y_subtrain = train.loc[subtrain]['total_cases']\n","        X_subtest = train.loc[subtest]\n","        y_subtest = train.loc[subtest]['total_cases']\n","\n","        # Definimos transformador\n","        transformer = MinMaxScaler(feature_range=[0,1]).fit(X_subtrain)\n","        # Normalizamos los datos:\n","        X_subtrain_norm = transformer.transform(X_subtrain)\n","        X_subtest_norm = transformer.transform(X_subtest)\n","\n","        # Reducimos dimensionalidad\n","        X_subtrain_norm_pca = pca.fit_transform(X_subtrain_norm)\n","        X_subtest_norm_pca = pca.transform(X_subtest_norm)\n","\n","        # Entrenamos modelo con conjunto subtrain\n","        model.fit(X = X_subtrain_norm_pca,\n","                  y = y_subtrain)\n","        \n","        # Predecimos con el modelo entrenado\n","        pred_test = model.predict(X = X_subtest_norm_pca)\n","        pred_train = model.predict(X = X_subtrain_norm_pca)\n","\n","        # Evaluamos modelo\n","        mae_test = mean_absolute_error(y_subtest, pred_test)\n","        mae_train = mean_absolute_error(y_subtrain, pred_train)\n","\n","        list_mae_test.append(mae_test)\n","        list_mae_train.append(mae_train)\n","\n","    total_scores_test.append(sum(list_mae_test)/len(list_mae_test))\n","    total_scores_train.append(sum(list_mae_train)/len(list_mae_train))\n","\n","\n","plt.plot(parameters, total_scores_test, marker='o', label='Test')\n","plt.plot(parameters, total_scores_train, marker='o', label='Train')\n","plt.title('Random Forest Regressor')\n","plt.ylabel('MAE') \n","plt.xlabel('Max Depth') \n","plt.legend()\n","plt.show() "]},{"cell_type":"code","execution_count":12,"metadata":{},"outputs":[],"source":["# Definimos el modelo\n","model = RandomForestRegressor(max_depth=5)\n","# Modelo con 4 variables\n","model.fit(X_train_norm_pca, y_train)\n","\n","# Hacemos predicciones sobre el test\n","predictions = (model.predict(X_test_norm_pca)).astype('int')\n","\n","# Convertimos a 0 los valores negativos\n","predictions[predictions<0] = 0\n","\n","# Guardamos los resultados en un DataFrame\n","results = pd.read_csv('./dengue_features_test.csv', usecols=['city', 'year', 'weekofyear'])\n","results['total_cases'] = predictions\n","\n","# results.to_csv('RandomForestRegressor_results.csv', index=False)"]},{"source":["## KNeighbors Regressor"],"cell_type":"markdown","metadata":{}},{"cell_type":"code","execution_count":14,"metadata":{"tags":[]},"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 432x288 with 1 Axes>","image/svg+xml":"<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\r\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\r\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\r\n<!-- Created with matplotlib (https://matplotlib.org/) -->\r\n<svg height=\"277.314375pt\" version=\"1.1\" viewBox=\"0 0 382.603125 277.314375\" width=\"382.603125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\r\n <defs>\r\n  <style type=\"text/css\">\r\n*{stroke-linecap:butt;stroke-linejoin:round;}\r\n  </style>\r\n </defs>\r\n <g id=\"figure_1\">\r\n  <g id=\"patch_1\">\r\n   <path d=\"M 0 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\n"},"metadata":{"needs_background":"light"}}],"source":["parameters = range(2,15,1)\n","total_scores_test = []\n","total_scores_train = []\n","for estimator in parameters:\n","\n","    list_mae_test = []\n","    list_mae_train = []\n","\n","    model = KNeighborsRegressor(n_neighbors=estimator, weights='uniform')\n","    for subtrain, subtest in cv.split(train):\n","            \n","        # Dividimos nuestro dataset de train en dos subconjuntos\n","        # para entrenar y evaluar nuestros modelos\n","        X_subtrain = train.loc[subtrain]\n","        y_subtrain = train.loc[subtrain]['total_cases']\n","        X_subtest = train.loc[subtest]\n","        y_subtest = train.loc[subtest]['total_cases']\n","\n","        # Definimos transformador\n","        transformer = MinMaxScaler(feature_range=[0,1]).fit(X_subtrain)\n","        # Normalizamos los datos:\n","        X_subtrain_norm = transformer.transform(X_subtrain)\n","        X_subtest_norm = transformer.transform(X_subtest)\n","\n","        # Reducimos dimensionalidad\n","        X_subtrain_norm_pca = pca.fit_transform(X_subtrain_norm)\n","        X_subtest_norm_pca = pca.transform(X_subtest_norm)\n","\n","        # Entrenamos modelo con conjunto subtrain\n","        model.fit(X = X_subtrain_norm_pca,\n","                  y = y_subtrain)\n","        \n","        # Predecimos con el modelo entrenado\n","        pred_test = model.predict(X = X_subtest_norm_pca)\n","        pred_train = model.predict(X = X_subtrain_norm_pca)\n","\n","        # Evaluamos modelo\n","        mae_test = mean_absolute_error(y_subtest, pred_test)\n","        mae_train = mean_absolute_error(y_subtrain, pred_train)\n","\n","        list_mae_test.append(mae_test)\n","        list_mae_train.append(mae_train)\n","\n","    total_scores_test.append(sum(list_mae_test)/len(list_mae_test))\n","    total_scores_train.append(sum(list_mae_train)/len(list_mae_train))\n","\n","\n","plt.plot(parameters, total_scores_test, marker='o', label='Test')\n","plt.plot(parameters, total_scores_train, marker='o', label='Train')\n","plt.title('K-Neighbors Regressor')\n","plt.ylabel('MAE')\n","plt.xlabel('K neighbors')\n","plt.legend()\n","plt.show()"]},{"source":["# Definimos el modelo\n","model = KNeighborsRegressor(n_neighbors=4)\n","# Modelo con 4 variables\n","model.fit(X_train_norm_pca, y_train)\n","\n","# Hacemos predicciones sobre el test\n","predictions = (model.predict(X_test_norm_pca)).astype('int')\n","\n","# Convertimos a 0 los valores negativos\n","predictions[predictions<0] = 0\n","\n","# Guardamos los resultados en un DataFrame\n","results = pd.read_csv('./dengue_features_test.csv', usecols=['city', 'year', 'weekofyear'])\n","results['total_cases'] = predictions\n","\n","results.to_csv('KNeighborsRegressor_results.csv', index=False)"],"cell_type":"code","metadata":{},"execution_count":15,"outputs":[]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":[]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":[]}]}