How to classify “wine” using different Boosting Ensemble models e.g. XgBoost, CatBoost, LightGBM – Multiclass Classification in Python Boosting is a popular machine learning technique that is often used to improve the performance of a classifier. A boosting algorithm combines the predictions of multiple simpler models to make a more accurate final prediction. In this … Continue reading How to classify “wine” using different Boosting Ensemble models e.g. XgBoost, CatBoost, LightGBM – Multiclass Classification in Python