k fold cross validate

kfoldcv = KFold(n_splits=5, random_state=1, shuffle=True)

#Model Implementation
model = RandomForestClassifier()

# SCoring Function
scoring=['f1_macro','accuracy']

#Cross Validation
cv_score = cross_validate(model, df, y,scoring=scoring ,cv=kfoldcv, n_jobs=-1)

scores