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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

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BMC Bioinformatics

ISSN: 1471-2105

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