def test_submission(self): train_data = extract_features(load_adult_train_data()) valid_data = extract_features(load_adult_valid_data()) model = submission(train_data) predictions = [predict(model, p) for p in train_data] print print print "Training Accuracy:", accuracy(train_data, predictions) predictions = [predict(model, p) for p in valid_data] print "Validation Accuracy:", accuracy(valid_data, predictions) print
def test_submission(self): train_data = extract_features(load_adult_train_data()) valid_data = extract_features(load_adult_valid_data()) model = submission(train_data) predictions = [predict(model, p) for p in train_data] print() print() print("Training Accuracy:", accuracy(train_data, predictions)) predictions = [predict(model, p) for p in valid_data] print("Validation Accuracy:", accuracy(valid_data, predictions)) print()
def test_submission(self): """Overall test. """ train_data = extract_features(load_adult_train_data()) valid_data = extract_features(load_adult_valid_data()) model = submission(train_data) predictions = [predict(model, p) for p in train_data] print("Training Accuracy: {0}".format( accuracy(train_data, predictions))) predictions = [predict(model, p) for p in valid_data] print("Validation Accuracy: {0}".format( accuracy(valid_data, predictions)))