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Table 2 Comparison of the performances of the models on the microarray dataset

From: Deep GONet: self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression data

Model Accuracy Precision Recall F1-Score MCC AUC
RF 0.904 0.932 0.921 0.927 0.786 0.895
SVM 0.948 0.964 0.957 0.961 0.885 0.944
XGBoost 0.936 0.954 0.948 0.951 0.857 0.930
MLP 0.951 0.974 0.952 0.963 0.893 0.986
Deep GONet 0.925 0.943 0.943 0.943 0.832 0.916