CODE EXAMPLE FOR PYTHON

sklearn cross_val_score scoring metric

from sklearn.linear_model import RidgeClassifier
from sklearn.model_selection import cross_val_score

clf = RidgeClassifier() # estimator
score = cross_val_score(clf, X, y, cv=5)

# By default, the score computed at each CV iteration is the score
# method of the estimator. It is possible to change this by using 
# the scoring parameter:

scores = cross_val_score(clf, X, y, cv=5, scoring='f1_macro')