Answers for "sklearn cross validation parameter tuning"

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sklearn cross validation score

from sklearn.model_selection import cross_val_score
scores = cross_val_score(classifier_logreg, X_train, y_train, cv = 5, scoring='accuracy')
print('Cross-validation scores:{}'.format(scores))
print('Average cross-validation score: {}'.format(scores.mean()))

Posted by: Guest on June-29-2021

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