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Table 5 Performance comparison of the AutoAHP framework against baseline methods

From: Disease risk analysis for schizophrenia patients by an automatic AHP framework

Method

AUC

Accuracy

Precision

Recall

F1

SVM

0.480

0.589

0.619

0.589

0.602

kNN

0.537

0.727

0.639

0.727

0.657

SGD

0.564

0.722

0.686

0.722

0.697

Logistic Regression

0.722

0.758

0.719

0.758

0.700

Naive Bayes

0.712

0.763

0.732

0.763

0.728

Neural Network

0.900

0.881

0.878

0.881

0.879

Random Forest

0.945

0.921

0.919

0.921

0.919

AutoAHP

0.954

0.924

0.923

0.924

0.923