Table 1.

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

Filter /embedded methods	ACC	Runtime (s)	NFS	AUC	MCC-(normalized value)	F-score	PPV	Recall
VT	0.681	2.17	9	0.55	0.159-(0.57)	0.62	0.65	0.68
k-Best	0.786	0.617	19	0.77	0.487-(0.743)	0.77	0.79	0.79
L1-based	0.781	0.931	15	0.74	0.474-(0.737)	0.76	0.79	0.78
Tree-based	0.79	1.509	20	0.75	0.5-(0.75)	0.77	0.79	0.8
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, VT: Variance threshold, L1-Based: L1-based selection, k-Best: k-Best selection, Tree-based: Tree-based selection