def make_predictions(self, trained_model, data):
X_train, X_test, y_train, y_test = data
#get predictions
print(type(trained_model))
print("Making predictions!")
train_pred = trained_model.predict(X_train)
train_pred_prob = trained_model.predict_proba(X_train)
test_pred = trained_model.predict(X_test)
test_pred_prob = trained_model.predict_proba(X_test)
print(test_pred_prob)
# print metrics
measurer = Measurement()
print("Train resutls:")
measurer.print_measurements(y_train, train_pred, train_pred_prob[:, 1])
print("Test resutls:")
measurer.print_measurements(y_test, test_pred, test_pred_prob[:, 1])
