Boosting ensembles with depth parameter tuning using yeast dataset in Python   Boosting ensemble classifiers are a powerful method for improving the performance of a model in classification tasks. These classifiers are a combination of multiple weak models that work together to make a more accurate prediction. One important aspect of boosting ensemble classifiers is … Continue reading Boosting ensembles with depth parameter tuning using yeast dataset in Python