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. 2023 Mar 29;14:1165765. doi: 10.3389/fgene.2023.1165765

TABLE 3.

Classifier comparison on Train-500.

SE SP ACC MCC AUC
GBDT 90.0 90.8 90.4 81.4 94.5
XGBoost 87.2 88.8 88.0 76.4 94.3
RandomForest 87.2 92.0 89.6 79.8 94.4
AdaBoost 82.4 81.6 82.0 64.4 89.6
DecisionTree 87.6 81.6 84.6 70.0 84.6
Kneighbors 82.4 74.8 78.6 57.7 87.1
LogisticRegression 75.6 72.4 74 48.1 79.4
GaussianNB 74.8 80.8 77.8 56.1 80.6

The maximum values in the table are bold.