Additional file 2: of The parameter sensitivity of random forests

2016-09-01T05:00:00Z (GMT) by Barbara Huang Paul Boutros
AUC results for low p/n data. Low p/n results for prediction accuracy using AUC as the performance metric for non-cross-validation results, 10-fold cross-validation and stratified 10-fold cross-validation. Ranks indicate the relative performance of different models with lower ranks representing higher performing models i.e., a rank of 1 is the best model. The default settings (n tree  = 500, m try  = 3, sampsize = 720) are found on row 1502 of the table. (CSV 116 kb)