This project comes from a university group machine learning project that compared different learning algorithms using two datasets: Online Retail and Credit Card Fraud Detection. My main contribution ...

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning ...

This research aimed to identify novel oxidative stress (OS)–related biomarkers and develop predictive models for the early detection of pediatric sepsis. Five open-access datasets from the gene ...

Existing models largely predict toxicity one end point at a time, although chemical toxicity emerges from coordinated perturbations across multiple targets, pathways, and adverse outcomes. We ...