Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.

Discover how random forests, a machine-learning technique, enhance prediction accuracy by combining insights from multiple decision trees.

Franklin Resources on Tuesday announced it acquired Random Forest Capital, an emerging money management firm that invests in marketplace, or peer-to-peer, lending by using machine learning and ...

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

While it may be the era of supercomputers and 'big data,' without smart methods to mine all that data, it's only so much digital detritus. Now researchers have come up with a novel machine learning ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression technique (and a variant called bagging regression), where the goal is to ...