Table 2.

Results of wrapper methods on random forest classifier using IVF/ICSI dataset

Wrapper methods	ACC	Runtime (s)	NFS	AUC	MCC-(normalized value)	F-score	PPV	Recall
SFS	0.754	737	7	0.507	0.405-(0.702)	0.74	0.75	0.75
SBS	0.777	3908	7	0.565	0.462-(0.731)	0.76	0.77	0.78
SFFS	0.754	2460	7	0.507	0.405-(0.702)	0.74	0.75	0.75
SFBS	0.777	12300	7	0.744	0.462-(0.731)	0.76	0.78	0.78
RS	0.786	240	14	0.759	0.48-(0.74)	0.77	0.79	0.79
IVF: In vitro fertilization, ICSI: Intracytoplasmic sperm injection, ACC: Accuracy, NFS: Number of feature selection, AUC: Area under the ROC curve, MCC: Matthew's correlation coefficient, PPV: Positive predictive value, SFS: Sequential forward selection, SBS: Sequential backward selection, SFFS: Sequential floating forward selection, SFBS: Sequential floating backward selection, RS: Random selection