Table 5: The confusion matrix for the Bayesian model averaging of artificial neural networks. The last but one line lists the total number of light curves (TOT) to define every class. The last line lists the correct classification rate (CC) for every class separately as measured by 10 fold cross validation.

	MIRA	SR	RVTAU	CLCEP	PTCEP	DMCEP	RRAB	RRC	RRD	DSCUT	LBOO	BCEP	SPB	GDOR	BE	PVSG	CP	WR	TTAU	HAEBE	LBV	ELL	EA	EB	EW
MIRA	141	8	1	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	1	2	0	0	0	0
SR	3	16	2	0	2	0	0	0	0	1	0	0	0	0	1	7	0	1	4	3	5	0	0	0	0
RVTAU	0	0	4	2	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0
CLCEP	0	1	3	190	18	0	0	0	0	0	0	0	0	0	0	0	0	0	2	1	0	0	0	0	1
PTCEP	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0
DMCEP	0	1	0	0	0	93	5	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0
RRAB	0	0	1	0	2	0	121	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
RRC	0	0	0	0	0	0	0	23	0	4	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
RRD	0	0	0	0	0	0	0	0	57	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0
DSCUT	0	1	0	0	0	0	3	3	0	105	9	23	0	5	6	10	10	8	0	3	0	2	0	0	2
LBOO	0	0	0	0	0	0	0	0	0	2	1	0	0	0	1	0	0	2	0	0	0	0	0	0	0
BCEP	0	0	0	0	0	0	0	1	0	7	0	24	1	0	0	0	2	1	0	0	0	0	0	0	0
SPB	0	0	0	0	0	0	0	0	0	0	0	4	27	2	6	3	12	0	0	1	0	3	0	0	0
GDOR	0	0	0	0	0	0	0	0	0	5	1	0	4	15	8	3	1	3	1	1	0	0	0	0	0
BE	0	2	0	0	0	0	0	0	0	0	0	0	4	2	8	7	1	5	0	2	5	0	0	0	0
PVSG	0	4	0	0	0	0	0	0	0	1	0	1	2	4	16	16	1	12	2	6	2	0	0	0	0
CP	0	0	0	1	0	0	0	0	0	3	2	4	6	3	4	11	33	5	0	0	0	1	0	0	0
WR	0	1	0	0	0	0	0	0	0	4	0	0	0	3	4	14	1	18	2	0	3	0	1	0	0
TTAU	0	2	1	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	4	0	0	0	0	0	0
HAEBE	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0
LBV	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	3	0	2	0	0	3	0	0	0	0
ELL	0	0	0	1	0	0	0	0	0	0	0	0	2	1	0	0	2	0	0	0	0	10	0	0	0
EA	0	1	0	0	0	0	0	0	0	3	0	0	1	0	0	0	0	1	0	0	0	0	152	22	2
EB	0	2	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	1	0	0	16	113	9
EW	0	0	0	0	0	2	0	2	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0	10	45
TOT	145	42	13	195	24	95	129	29	57	139	13	58	47	35	57	76	63	62	17	21	21	16	169	147	59
CC (%)	97.2	38.1	30.8	97.4	0.0	97.9	93.8	79.3	100.0	75.5	7.7	41.4	57.4	42.9	14.0	21.1	52.4	29.0	23.5	4.8	14.3	62.5	89.9	76.9	76.3