The Annals of Statistics, Vol. 43, No. 4 (August 2015), pp. 1716-1741 (26 pages) Random forests are a learning algorithm proposed by Breiman [Mach. Learn. 45 (2001) 5-32] that combines several ...

We estimate unobserved subject-specific treatment effects through conditional random-effects modeling, and apply the random forest algorithm to allocate effective treatments for individuals. The ...

Wrapping Up Random forest regression, and its variant bagging tree regression, suffer from a bit of disrespect in the research community. Random forest models are so simple, they can't generate many ...

The artificial intelligence method was used to optimize an early cancer detection test to ensure high sensitivity and specificity.