Table 5.

Experimental results of studied feature selection algorithms for dataset 1

Feature selection $+$ classifier	Accuracy (%)	Precision (%)	Sensitivity (%)	Specificity (%)	F1-score (%)	AUC (%)
$\text{SFS}+\text{MLP}$	82.41	84.32	82.57	82.21	83.44	82.39
$\text{SFS}+\text{SVM}$	75.72	78.7	75.1	76.44	76.86	75.77
$\text{SFS}+\text{LR}$	79.29	85.58	73.86	85.58	79.29	79.72
$\text{SFS}+\text{DT}$	80.4	80.97	82.99	77.4	81.97	80.2
$\text{SFS}+\text{GB}$	81.07	84.21	79.67	82.69	81.88	80.97
$\text{SFS}+\text{RF}$	81.96	83.19	82.16	80.77	82.67	81.46
$\text{SFS}+\text{XGboost}$	80.85	81.38	83.4	77.88	82.38	80.64
$\text{SFS}+\text{AdaBoost}$	81.07	81.97	82.99	78.85	82.47	80.92
$\text{SFFS}+\text{MLP}$	81.96	83.61	82.57	81.25	83.09	81.91
$\text{SFFS}+\text{SVM}$	75.72	78.7	75.1	76.44	76.86	75.77
$\text{SFFS}+\text{LR}$	79.73	86.41	73.86	86.54	79.64	80.2
$\text{SFFS}+\text{DT}$	80.4	80.97	82.99	77.4	81.97	80.2
$\text{SFFS}+\text{GB}$	80.62	82.63	80.91	80.29	81.76	80.6
$\text{SFFS}+\text{RF}$	82.41	84.32	82.57	82.21	83.44	82.39
$\text{SFFS}+\text{XGboost}$	82.85	84.75	82.99	82.69	83.86	82.84
$\text{SFFS}+\text{AdaBoost}$	81.07	81.45	83.82	77.88	82.62	80.85
$\text{SBS}+\text{MLP}$	80.18	81.15	82.16	77.88	81.65	80.02
$\text{SBS}+\text{SVM}$	75.72	78.7	75.1	76.44	76.86	75.77
$\text{SBS}+\text{LR}$	77.73	80.26	77.59	77.88	78.9	77.74
$\text{SBS}+\text{DT}$	80.62	81.3	82.99	77.88	82.14	80.44
$\text{SBS}+\text{GB}$	81.07	84.21	79.67	82.69	81.88	81.18
$\text{SBS}+\text{RF}$	82.63	84.98	82.16	83.17	83.54	82.67
$\text{SBS}+\text{XGboost}$	82.85	84.75	82.99	82.69	83.86	82.84
$\text{SBS}+\text{AdaBoost}$	83.3	85.17	83.4	83.17	84.28	83.29
$\text{NSGA-II}+\text{MLP}$	83.52	85.09	82.91	84.19	83.98	83.55
$\text{NSGA-II}+\text{SVM}$	79.51	79.83	81.20	77.67	80.51	79.44
$\text{NSGA-II}+\text{LR}$	83.07	4.96	82.05	84.19	83.48	83.12
$\text{NSGA-II}+\text{DT}$	84.51	82.8	88.46	80	85.54	84.23
$\text{NSGA-II}+\text{GB}$	84.41	82.28	89.32	79.07	85.66	84.19
$\text{NSGA-II}+\text{RF}$	83.74	85.78	82.48	85.12	84.10	83.8
$\text{NSGA-II}+\text{XGboost}$	83.52	85.71	82.05	85.12	83.84	83.58
$\mathbf{NSGA}-II+\mathbf{AdaBoost}$	85	90	89.32	85	86.01	87.16

Bold value indicates the highest result