FIG. 1.

AUC of RMRF and RMLR in training data set based on number of predictors included. Individual data points (i.e., dots) indicate training AUC for RMRF and RMLR based on number of predictors in the model, with higher numbers indicating better prediction performance. The training AUC is estimated using the out-of-bag sample for RMRF and using fivefold cross-validation for RMLR. AUC, area under the receiver operating characteristic curve; RMLR, repeated measures logistic regression; RMRF, repeated measures random forest.