Promoting Variable Effect Consistency in Mixture Cure Model for Credit Scoring

Table 6

Results of the prediction performance in Example 1.

Full	MCG	MCGS	Full	MCG	MCGS
		Scenario 1
0.25	60	0.06	0.02	0.01	0.57	0.10	0.12
		(0.02)	(0.01)	(0.00)	(0.80)	(0.08)	(0.08)
	200	0.37	0.03	0.02	24.10	0.12	0.16
		(0.04)	(0.01)	(0.01)	(57.28)	(0.08)	(0.10)
5	60	0.33	0.19	0.10	6.32	0.23	0.18
		(0.05)	(0.18)	(0.03)	(20.47)	(0.28)	(0.09)
	20	0.41	0.96	0.02	>10 ^ 3	0.15	0.10
		(0.03)	(0.04)	(0.01)	(>10 ^ 3)	(0.15)	(0.08)
		Scenario 2
0.25	60	0.06	0.02	0.02	0.52	0.12	0.12
		(0.01)	(0.01)	(0.01)	(0.71)	(0.07)	(0.07)
	200	0.31	0.03	0.03	72.58	0.15	0.15
		(0.03)	(0.01)	(0.01)	(387.68)	(0.10)	(0.10)
5	60	0.30	0.08	0.14	5.72	0.21	0.27
		(0.06)	(0.04)	(0.06)	(10.42)	(0.18)	(0.15)
	200	0.53	0.26	0.17	>10 ^ 3	0.26	0.35
		(0.04)	(0.24)	(0.04)	(>10 ^ 3)	(0.17)	(0.17)

Note. In each cell, there is mean (standard deviation).