ens_boosting_train.py

#get data for regression task
X_train, X_val, y_train, y_val = get_split_data(german_cred, target_name='age_yrs')

#Train and fit these models
ada_reg.fit(X_train, y_train)
gb_reg.fit(X_train, y_train)

#check their performance
print("MAE of AdaBoost is : ", get_mae(ada_reg.predict(X_val), y_val))
print("MAE of Gradient Boosting is : ", get_mae(gb_reg.predict(X_val), y_val))


#get data for regression task
X_train, X_val, y_train, y_val = get_split_data(german_cred, target_name='bad_credit')

#Train and fit these models
ada_cf.fit(X_train, y_train)
gb_cf.fit(X_train, y_train)

#check their performance
print("ACC of AdaBoost is : ", get_acc(ada_cf.predict(X_val), y_val))
print("ACC of Gradient Boosting is : ", get_acc(gb_cf.predict(X_val), y_val))