In my pharma work, we compared AdaBoost, XGBoost, and LightGBM for drug response prediction. XGBoost outperformed in accuracy (88% vs 84% and 86%) and handled our high-dimensional genomic data best.

Many people don’t trust algorithms and machine learning because they don’t have a complete understanding of how they actually work. Let's break it down.

It also includes an experiment applying this AdaBoost model on the Wisconsin Breast Cancer dataset. This implementation does not rely on pre-existing machine learning libraries for the AdaBoost ...