Logistic regression is a statistical method used to model binary outcome variables, such as whether a patient recovers or not, using a set of predictors. There are many competing methods for ...

An efficient, ready‑to‑use workflow from whole‑slide image to biomarker prediction. STAMP is an end‑to‑end, weakly‑supervised deep‑learning pipeline that helps discover and evaluate candidate ...

A colleague recently asked me about XGBOOST (Extreme Gradient Boosting) models so I figured I'd put together a short tutorial of using XGBOOST both with the `xgboost` package and within the ...

Theory and Computation of Energy Materials (IEK-13), Institute of Energy and Climate Research, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany Chair of Theory and Computation of Energy Materials, ...

Choosing a statistical model and accounting for uncertainty about this choice are important parts of the scientific process and are required for common statistical tasks such as parameter estimation, ...

Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China State Key Laboratory of Physical Chemistry of Solid Surfaces, iChEM, College of Chemistry ...