# Load the model from hard drive
#model.load('model.h5')

# load test data
test_df = pd.read_csv("test_scaled.csv")
X2 = test_df.drop('y', axis=1).values
Y2 = test_df[['y']].values

# test the model
mse = model.evaluate(X2,Y2, verbose=1)

print('Mean Squared Error: ', mse)