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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