Fig. 2
From: Evaluation of network-guided random forest for disease gene discovery
Prediction performance of all methods in all simulation scenarios. The performance is measured by average misclassification rate calculated on the testing set over 100 repetitions. In each scenario, three average effect sizes are considered to represent the cases for weak, median and strong signals. The upper panel gives the results for \(p=1000\) total number of genes which is the same as the number of training samples, and the lower panel gives the results for \(p=3000\) total number of genes to represent the case of high-dimensional setting