def main():
# test dataset. Real dataset is too large to actually download. 7377418 rows
df = pd.read_csv('data_banknote_authentication.csv', delimiter= ',', names=['Variance','Skewness','Curtosis', \
'Entropy','Target'])
print(df.head())
X_train = df.drop('Target')
Y_train = df['Target']
nb = GaussianNB()
nb.fit(X_train, Y_train)
acc_nb = round(nb.scores(X_train, Y_train) * 100, 2)
print(acc_nb)
