pntd.0006587.g001.tif (162.9 kB)
Framework of random forest algorithm.
figure
posted on 2018-06-18, 17:58 authored by Janet Ong, Xu Liu, Jayanthi Rajarethinam, Suet Yheng Kok, Shaohong Liang, Choon Siang Tang, Alex R. Cook, Lee Ching Ng, Grace Yap1000 random bootstrap samples were drawn from the data, and an unpruned decision tree is fitted to each bootstrap sample. At each node, a small subset of the covariates was chosen at random to optimize the split. The predicted risk rank is obtained by averaging the prediction of all trees.
