diff --git a/__pycache__/__init__.cpython-36.pyc b/__pycache__/__init__.cpython-36.pyc new file mode 100644 index 0000000..b481cc5 Binary files /dev/null and b/__pycache__/__init__.cpython-36.pyc differ diff --git a/q01_my_decision_regressor/__pycache__/__init__.cpython-36.pyc b/q01_my_decision_regressor/__pycache__/__init__.cpython-36.pyc new file mode 100644 index 0000000..56b3943 Binary files /dev/null and b/q01_my_decision_regressor/__pycache__/__init__.cpython-36.pyc differ diff --git a/q01_my_decision_regressor/__pycache__/build.cpython-36.pyc b/q01_my_decision_regressor/__pycache__/build.cpython-36.pyc new file mode 100644 index 0000000..f2a821a Binary files /dev/null and b/q01_my_decision_regressor/__pycache__/build.cpython-36.pyc differ diff --git a/q01_my_decision_regressor/build.py b/q01_my_decision_regressor/build.py index 5eb1927..e3018aa 100644 --- a/q01_my_decision_regressor/build.py +++ b/q01_my_decision_regressor/build.py @@ -1,3 +1,4 @@ +# %load q01_my_decision_regressor/build.py # default imports from sklearn.model_selection import GridSearchCV from sklearn.tree import DecisionTreeRegressor @@ -5,13 +6,26 @@ from sklearn.model_selection import train_test_split import pandas as pd -data = pd.read_csv("./data/house_pricing.csv") +data = pd.read_csv('./data/house_pricing.csv') X = data.iloc[:, :-1] y = data.iloc[:, -1] X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=9) -param_grid = {"max_depth": [2, 3, 5, 6, 8, 10, 15, 20, 30, 50], - "max_leaf_nodes": [2, 3, 4, 5, 10, 15, 20], - "max_features": [4, 8, 20, 25]} +param_grid = {'max_depth': [2, 3, 5, 6, 8, 10, 15, 20, 30, 50], + 'max_leaf_nodes': [2, 3, 4, 5, 10, 15, 20], + 'max_features': [4, 8, 20, 25]} # Write your solution here : +def my_decision_regressor(X_train, X_test, y_train, y_test, param_grid): + dtr = DecisionTreeRegressor(random_state=9) + grid_clf = GridSearchCV(estimator=dtr, param_grid=param_grid, cv=5) + grid_clf = grid_clf.fit(X_train, y_train) + + y_pred = grid_clf.predict(X_test) + r2_value = r2_score(y_test,y_pred) + + return r2_value, grid_clf.best_params_ + +my_decision_regressor(X_train, X_test, y_train, y_test, param_grid) + + diff --git a/q01_my_decision_regressor/tests/__pycache__/__init__.cpython-36.pyc b/q01_my_decision_regressor/tests/__pycache__/__init__.cpython-36.pyc new file mode 100644 index 0000000..c75e29b Binary files /dev/null and b/q01_my_decision_regressor/tests/__pycache__/__init__.cpython-36.pyc differ diff --git a/q01_my_decision_regressor/tests/__pycache__/test_q01_my_decision_regressor.cpython-36.pyc b/q01_my_decision_regressor/tests/__pycache__/test_q01_my_decision_regressor.cpython-36.pyc new file mode 100644 index 0000000..ac1c6e8 Binary files /dev/null and b/q01_my_decision_regressor/tests/__pycache__/test_q01_my_decision_regressor.cpython-36.pyc differ diff --git a/q02_decision_regressor_plot/__pycache__/__init__.cpython-36.pyc b/q02_decision_regressor_plot/__pycache__/__init__.cpython-36.pyc new file mode 100644 index 0000000..84f5202 Binary files /dev/null and b/q02_decision_regressor_plot/__pycache__/__init__.cpython-36.pyc differ diff --git a/q02_decision_regressor_plot/__pycache__/build.cpython-36.pyc b/q02_decision_regressor_plot/__pycache__/build.cpython-36.pyc new file mode 100644 index 0000000..352c4c0 Binary files /dev/null and b/q02_decision_regressor_plot/__pycache__/build.cpython-36.pyc differ diff --git a/q02_decision_regressor_plot/build.py b/q02_decision_regressor_plot/build.py index 020d81e..040cb35 100644 --- a/q02_decision_regressor_plot/build.py +++ b/q02_decision_regressor_plot/build.py @@ -1,3 +1,4 @@ +# %load q02_decision_regressor_plot/build.py # default imports from sklearn.model_selection import train_test_split from sklearn.tree import DecisionTreeRegressor @@ -7,7 +8,7 @@ import numpy as np plt.switch_backend('agg') -data = pd.read_csv("./data/house_pricing.csv") +data = pd.read_csv('./data/house_pricing.csv') X = data.iloc[:, :-1] y = data.iloc[:, -1] X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=9) @@ -15,3 +16,24 @@ depth_list = [2, 8, 10, 15, 20, 25, 30, 35, 45, 50, 80] # Write your solution here : +def decision_regressor_plot(X_train, X_test, y_train, y_test, depth_list): + train_mse = [] + test_mse = [] + + for depth in depth_list: + dt = DecisionTreeRegressor(max_depth=depth, criterion='mse', random_state=9) + dt.fit(X_train, y_train) + + y_train_pred = dt.predict(X_train) + train_mse.append(mean_squared_error(y_train, y_train_pred)) + + y_test_pred = dt.predict(X_test) + test_mse.append(mean_squared_error(y_test, y_test_pred)) + + plt.plot(depth_list,train_mse) + plt.plot(depth_list,test_mse) + plt.show() + +decision_regressor_plot(X_train, X_test, y_train, y_test, depth_list) + + diff --git a/q02_decision_regressor_plot/tests/__pycache__/__init__.cpython-36.pyc b/q02_decision_regressor_plot/tests/__pycache__/__init__.cpython-36.pyc new file mode 100644 index 0000000..bdaa258 Binary files /dev/null and b/q02_decision_regressor_plot/tests/__pycache__/__init__.cpython-36.pyc differ diff --git a/q02_decision_regressor_plot/tests/__pycache__/test_q02_decision_regressor_plot.cpython-36.pyc b/q02_decision_regressor_plot/tests/__pycache__/test_q02_decision_regressor_plot.cpython-36.pyc new file mode 100644 index 0000000..5899c32 Binary files /dev/null and b/q02_decision_regressor_plot/tests/__pycache__/test_q02_decision_regressor_plot.cpython-36.pyc differ diff --git a/q03_my_decision_classifier/__pycache__/__init__.cpython-36.pyc b/q03_my_decision_classifier/__pycache__/__init__.cpython-36.pyc new file mode 100644 index 0000000..d31071a Binary files /dev/null and b/q03_my_decision_classifier/__pycache__/__init__.cpython-36.pyc differ diff --git a/q03_my_decision_classifier/__pycache__/build.cpython-36.pyc b/q03_my_decision_classifier/__pycache__/build.cpython-36.pyc new file mode 100644 index 0000000..ec0dfab Binary files /dev/null and b/q03_my_decision_classifier/__pycache__/build.cpython-36.pyc differ diff --git a/q03_my_decision_classifier/build.py b/q03_my_decision_classifier/build.py index 73c9856..fc331c9 100644 --- a/q03_my_decision_classifier/build.py +++ b/q03_my_decision_classifier/build.py @@ -1,3 +1,4 @@ +# %load q03_my_decision_classifier/build.py # default imports from sklearn.model_selection import RandomizedSearchCV from sklearn.tree import DecisionTreeClassifier @@ -6,16 +7,28 @@ import pandas as pd import numpy as np -data = pd.read_csv("./data/loan_prediction.csv") +data = pd.read_csv('./data/loan_prediction.csv') np.random.seed(9) X = data.iloc[:, :-1] y = data.iloc[:, -1] X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=9) -param_grid = {"max_depth": [8, 10, 15, 20], - "max_leaf_nodes": [2, 5, 9, 15, 20], - "max_features": [1, 2, 3, 5]} +param_grid = {'max_depth': [8, 10, 15, 20], + 'max_leaf_nodes': [2, 5, 9, 15, 20], + 'max_features': [1, 2, 3, 5]} # Write your solution here : +def my_decision_classifier(X_train, X_test, y_train, y_test, param_grid, n_iter_search=10): + dtc = DecisionTreeClassifier(random_state=9) + + random_clf = RandomizedSearchCV(estimator=dtc, param_distributions=param_grid, n_iter=n_iter_search) + random_clf = random_clf.fit(X_train, y_train) + + y_pred = random_clf.predict(X_test) + acc = accuracy_score(y_test, y_pred) + + return acc, random_clf.best_params_ + +my_decision_classifier(X_train, X_test, y_train, y_test, param_grid) diff --git a/q03_my_decision_classifier/tests/__pycache__/__init__.cpython-36.pyc b/q03_my_decision_classifier/tests/__pycache__/__init__.cpython-36.pyc new file mode 100644 index 0000000..497741b Binary files /dev/null and b/q03_my_decision_classifier/tests/__pycache__/__init__.cpython-36.pyc differ diff --git a/q03_my_decision_classifier/tests/__pycache__/test_q03_my_decision_classifier.cpython-36.pyc b/q03_my_decision_classifier/tests/__pycache__/test_q03_my_decision_classifier.cpython-36.pyc new file mode 100644 index 0000000..31c1bde Binary files /dev/null and b/q03_my_decision_classifier/tests/__pycache__/test_q03_my_decision_classifier.cpython-36.pyc differ diff --git a/q04_decision_classifier_plot/__pycache__/__init__.cpython-36.pyc b/q04_decision_classifier_plot/__pycache__/__init__.cpython-36.pyc new file mode 100644 index 0000000..db20bbf Binary files /dev/null and b/q04_decision_classifier_plot/__pycache__/__init__.cpython-36.pyc differ diff --git a/q04_decision_classifier_plot/__pycache__/build.cpython-36.pyc b/q04_decision_classifier_plot/__pycache__/build.cpython-36.pyc new file mode 100644 index 0000000..077eb83 Binary files /dev/null and b/q04_decision_classifier_plot/__pycache__/build.cpython-36.pyc differ diff --git a/q04_decision_classifier_plot/build.py b/q04_decision_classifier_plot/build.py index 44e9e87..b187dfd 100644 --- a/q04_decision_classifier_plot/build.py +++ b/q04_decision_classifier_plot/build.py @@ -1,3 +1,4 @@ +# %load q04_decision_classifier_plot/build.py # default imports from sklearn.model_selection import RandomizedSearchCV from sklearn.tree import DecisionTreeClassifier @@ -8,7 +9,7 @@ import numpy as np plt.switch_backend('agg') -data = pd.read_csv("./data/loan_prediction.csv") +data = pd.read_csv('./data/loan_prediction.csv') np.random.seed(9) X = data.iloc[:, :-1] y = data.iloc[:, -1] @@ -18,3 +19,24 @@ # Write your solution here : +def decision_classifier_plot(X_train, X_test, y_train, y_test, depth_list): + train_mac = [] + test_mac = [] + + for depth in depth_list: + dtc = DecisionTreeClassifier(max_depth=depth, random_state=9) + dtc.fit(X_train, y_train) + + y_train_pred = dtc.predict(X_train) + train_mac.append(accuracy_score(y_train, y_train_pred)) + + y_test_pred = dtc.predict(X_test) + test_mac.append(accuracy_score(y_test, y_test_pred)) + + plt.plot(depth_list,train_mac) + plt.plot(depth_list,test_mac) + plt.show() + +decision_classifier_plot(X_train, X_test, y_train, y_test, depth_list) + + diff --git a/q04_decision_classifier_plot/tests/__pycache__/__init__.cpython-36.pyc b/q04_decision_classifier_plot/tests/__pycache__/__init__.cpython-36.pyc new file mode 100644 index 0000000..1089a85 Binary files /dev/null and b/q04_decision_classifier_plot/tests/__pycache__/__init__.cpython-36.pyc differ diff --git a/q04_decision_classifier_plot/tests/__pycache__/test_q04_decision_classifier_plot.cpython-36.pyc b/q04_decision_classifier_plot/tests/__pycache__/test_q04_decision_classifier_plot.cpython-36.pyc new file mode 100644 index 0000000..36f1940 Binary files /dev/null and b/q04_decision_classifier_plot/tests/__pycache__/test_q04_decision_classifier_plot.cpython-36.pyc differ