A Novel Ensemble Credit Scoring Model Based on Extreme Learning Machine and Generalized Fuzzy Soft Sets

Table 6

Running time for all models with feature selection (seconds).

Data sets	Models
	C5.0	SVM-R	DBN	Bayes	ELM
Germany	1.76	2.89	4.33	1.72	1.38
Australia	1.16	2.02	2.99	1.07	0.97
Japan	1.25	2.05	2.90	1.13	0.94
Iran	1.82	3.01	4.31	1.69	1.44
Bene 1	5.63	10.11	14.29	5.85	4.62
Bene 2	12.71	21.13	28.96	12.32	10.01
Shuttle	21.79	35.78	53.61	21.29	17.11
Skin_segment	207.20	340.24	509.76	202.49	182.46
MiniBooNE	354.38	581.92	871.87	346.33	277.87
LC2017Q1	591.26	970.78	1254.49	560.57	436.04