import numpy as np
from sklearn.ensemble import RandomForestClassifier
from sklearn.feature_selection import RFE

X = np.asarray(df[['age', 'job', 'marital', 'education', 'housing_loan', 'personal_loan',
                   'emp.var.rate', 'cons.price.idx', 'cons.conf.idx', 'euribor3m']])
y = np.asarray(df['y'])
rfc = RandomForestClassifier(n_estimators=40)
rfe = RFE(rfc, 6)
rfe_fit = rfe.fit(X, y)

print("Num Features: %s" % (rfe_fit.n_features_))
print("Selected Features: %s" % (rfe_fit.support_))
print("Feature Ranking: %s" % (rfe_fit.ranking_))