Figure 5
From: Embracing noise to improve cross-batch prediction accuracy
Boxplot of AUC change on varying subset sizes under various scenarios (36) for data set A, D and F. AUC Change = AUCafter - AUCbefore. Subset size here implies using a random subset of the given data during training phase. "Dynamic Bagging.0.25", "Dynamic Bagging.0.5" and "Dynamic Bagging.1.0" are the AUC change after applying dynamic bagging and using rank values with 25%, 50% and 100% of the original given data for training respectively compared with the conventional approach, which is without bagging and using absolute values [9].