Random Forests provide deeper classification and better predictions Instead of creating a single decision tree, the Random Forest algorithm can create many individual trees from randomly selected ...

A random forest (RF) predictor is an ensemble of individual tree predictors. As part of their construction, RF predictors naturally lead to a dissimilarity measure between the observations. One can ...

Random forest clustering is attractive for tissue microarray and other immunohistochemistry data since it handles highly skewed tumor marker expressions well and weighs the contribution of each ...

Cédric Beaulac, Jeffrey S. Rosenthal, Predicting University Students' Academic Success and Major Using Random Forests, Research in Higher Education, Vol. 60, No. 7 (NOVEMBER 2019), pp. 1048-1064 ...