Our analytic plan leveraged machine learning methods derived from XGBoost classification, a popular supervised-learning algorithm that uses sequentially built shallow decision trees to provide ...

They constructed a library of 196 TM@S x N y SACs and employed four classification models, where the XGBoost model is proved to possess the best performance with a remarkable 95% prediction ...