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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 name

AUC (OS)

AUC (PFI)

SVM

0.699

0.625

Decision Tree

0.670

0.634

Naive Bayes

0.655

0.644

kNN

0.706

0.659

Random Forest

0.720

0.661

AdaBoost

0.716

0.689

MAE + feat_int

0.765

0.721

MAE + view_sim

0.763

0.724

MAE + feat_int + view_sim

0.766

0.724

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BMC Genomics

ISSN: 1471-2164

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