results = []
names = []
for name, model in models:
kfold = model_selection.KFold(n_splits=num_instances, n_folds=num_folds, random_state=seed)
cv_results = model_selection.cross_val_score(model, X_train, Y_train, cv=kfold, scoring=scoring)
results.append(cv_results)
names.append(name)
msg = "%s: %f (%f)" % (name, cv_results.mean(), cv_results.std())
print(msg)
I guess with new update, n_folds
is no longer in use in Kfold. Can anyone help me to overcome the issue?
In the updated library, the n_folds
parameter was renamed to n_splits
:
https://scikit-learn.org/0.18/whats_new.html#model-selection-enhancements-and-api-changes
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