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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