You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Can Tradaboost algorithm use the predict_proba() method to output the probability values of each sample belonging to the positive and negative classes in binary classification problems?
The text was updated successfully, but these errors were encountered:
Hi @jnuvenus,
Thank you for your interest in the Adapt library!
There is no predict_proba method implemented on the Tradaboost object but you can access the predict_proba method of each estimator in model.estimators_. Here is a little example to compute the weighted average probabilities among Tradaboost estimators (Note that the authors of Tradaboost suggests to use only the last half estimators for prediction):
Can Tradaboost algorithm use the predict_proba() method to output the probability values of each sample belonging to the positive and negative classes in binary classification problems?
The text was updated successfully, but these errors were encountered: