您可以使用cross_val_predict(

You could use cross_val_predict(See the scikit-learn docs) instead of cross_val_score.

代替:

from sklearn.model_selection import cross_val_score
scores = cross_val_score(clf, x, y, cv=10)

您可以:

from sklearn.model_selection import cross_val_predict
from sklearn.metrics import confusion_matrix
y_pred = cross_val_predict(clf, x, y, cv=10)
conf_mat = confusion_matrix(y, y_pred)