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Table 2 Performance comparison based on two topological feature sets of among different models

From: Protein structural domain-disease association prediction based on heterogeneous networks

Methods

Topological features

AUC

F1 scores

XGBOOST

Feature-I

0.9341

0.8823

Feature-II

0.9461

0.8942

RF

Feature-I

0.8791

0.8564

Feature-II

0.9280

0.8738

SVM

Feature-I

0.8658

0.8213

Feature-II

0.9255

0.8718

BYS

Feature-I

0.8554

0.8127

Feature-II

0.8805

0.8527