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Table 3 Comparison of the performances of the models on the RNA-Seq 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 0.968 0.967 0.965 0.966 0.964 0.999
SVM 0.977 0.977 0.975 0.976 0.974 1.000
XGBoost 0.974 0.972 0.972 0.972 0.971 1.000
MLP 0.962 0.961 0.960 0.960 0.958 0.998
Deep GONet 0.970 0.970 0.967 0.968 0.967 0.998