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Table 5 AUC scores for predicting PFI and OS on the TCGA pan-cancer dataset

From: Integrate multi-omics data with biological interaction networks using Multi-view Factorization AutoEncoder (MAE)

Model nameAUC (OS)AUC (PFI)
SVM0.6990.625
Decision Tree0.6700.634
Naive Bayes0.6550.644
kNN0.7060.659
Random Forest0.7200.661
AdaBoost0.7160.689
MAE + feat_int0.7650.721
MAE + view_sim0.7630.724
MAE + feat_int + view_sim0.7660.724