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average of confusion matrix for k fold

umar zia answered on August 18, 2022 Popularity 4/10 Helpfulness 4/10

answer average of confusion matrix for k fold

average of confusion matrix for k fold

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cm_holder = []
for train_index, test_index in kf.split(previsores):
    X_train, X_test = previsores[train_index], previsores[test_index]
    y_train, y_test = classe[train_index], classe[test_index]

    logmodel.fit(X_train, y_train)
    cm_holder.append(confusion_matrix(y_test, logmodel.predict(X_test))))

Popularity 4/10 Helpfulness 4/10 Language python

Source: stackoverflow.com

Tags: average confusion-matrix k-fold python

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