IPF-LASSO: Integrative -Penalized Regression with Penalty Factors for Prediction Based on Multi-Omics Data

Figure 3

Results for settings A′ to F′ (with correlation): misclassification rate on test set (a), AUC on test set (b), number of selected variables (c), and penalty factors selected by IPF (d).