How to apply CatBoost Classifier to yeast dataset     CatBoost is a powerful machine learning library that can be used to improve the performance of decision tree models. It is especially useful for datasets with categorical features and is known for its ability to handle missing data and categorical features automatically. In this essay, … Continue reading How to apply CatBoost Classifier to yeast dataset