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Table 3 The performance of each model calculated using 30% of dataset that was excluded from training set

From: Virtual screening of Indonesian herbal compounds as COVID-19 supportive therapy: machine learning and pharmacophore modeling approaches

Method Performance Measure Value
Multilayer Perceptron (MLP) AUC 0.98405
F-measure 0.98254
Precision 0.96628
Recall 0.99936
Accuracy 0.98321
Random Forest (RF) AUC 0.98734
F-measure 0.98608
Precision 0.97255
Recall 1
Accuracy 0.98665
Support Vector Machine (SVM) AUC 0.99919
F-measure 0.99911
Precision 0.99847
Recall 0.99975
Accuracy 0.99915