TABLE 2.

Classification performance tests before gene selection.

Model name	Accuracy	Recall	Precision	F1	AUC
XGBClassifier	0.772	0.730	0.856	0.763	0.82 ± 0.14
LGBMClassifier	0.714	0.750	0.763	0.732	0.81 ± 0.11
RandomForestClassifier	0.763	0.750	0.802	0.749	0.81 ± 0.10
ExtraTreesClassifier	0.758	0.765	0.787	0.758	0.83 ± 0.08
GaussianNB	0.817	0.745	0.885	0.804	0.84 ± 0.11
KNeighborsClassifier	0.713	0.680	0.767	0.713	0.76 ± 0.12
LogisticRegression	0.817	0.815	0.858	0.826	0.87 ± 0.11
DecisionTreeClassifier	0.639	0.675	0.743	0.715	0.66 ± 0.20
SupportVectorMachineClassifier	0.794	0.725	0.895	0.777	0.84 ± 0.07
LinearDiscriminantAnalysis	0.736	0.680	0.752	0.691	0.84 ± 0.11
Mean	0.752	0.732	0.812	0.753	0.808

Bold values represent the average performance.