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mustafa-qamaruddin/cv13

Created May 4, 2019 17:29
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cv13
# optimal model
model = build_model(_alpha=0.1, _l1_ratio=0.1)
# train model
model.fit(X_train, y_train)
# test score
y_predicted = model.predict(X_test)
score = r2_score(y_test, y_predicted, multioutput='uniform_average')
print("Test Loss: {0:.3f}".format(score))
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