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Table 5 RF, SVM, bagging and boosting performance in terms of AUC on eight disease categories

From: Predicting disease risks from highly imbalanced data using random forest

Disease RF SVM Bagging Boosting
Breast cancer 0.9123 0.9063 0.905 0.8886
Diabetes no complication 0.8791 0.8417 0.8568 0.8607
Diabetes with/complication 0.94317 0.9239 0.9294 0.9327
Hypertension 0.9003 0.8592 0.8719 0.8842
Coronary Atherosclerosis 0.9199 0.8973 0.887 0.9026
Peripheral Atherosclerosis 0.9095 0.8972 0.8967 0.9003
Other Circulatory Diseases 0.7899 0.7591 0.7669 0.7683
Osteoporosis 0.87 0.867 0.8659 0.8635