Figure 5
From: Prediction of glycosylation sites using random forests
The cross-validation of the GPP prediction program, illustrated for the Ser dataset. This procedure is repeated 10 times with each fold in turn being used as the test set in order to conduct a cross validation. The 10 training sets are drawn from the sum of the 9 folds of training data and are used to train 10 random forests.