Table 8: The confusion matrix for the Bayesian model averaging of artificial neural networks for the variables not assigned to any group. 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.

	PVSG	BE	BCEP	CP	DSCUT	ELL	GDOR	HAEBE	HMXB	LBOO	LBV	SPB	SXPHE	TTAU	WR	FUORI	SDBV
PVSG	20	18	1	2	3	0	0	5	4	0	5	2	0	1	15	0	0
BE	8	5	0	1	0	0	1	3	3	0	3	3	0	0	4	0	0
BCEP	1	0	24	1	9	2	1	0	0	0	0	1	0	0	1	0	0
CP	11	8	5	34	5	1	4	1	0	2	0	7	0	0	3	0	0
DSCUT	8	6	22	9	109	1	4	2	0	6	1	0	5	0	8	0	0
ELL	0	0	0	2	0	10	0	0	0	0	1	1	0	0	1	0	0
GDOR	3	10	0	1	3	0	16	0	0	0	0	2	0	1	4	0	0
HAEBE	0	1	0	0	0	0	0	1	0	0	1	0	0	2	0	0	0
HMXB	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
LBOO	0	0	0	1	2	0	1	1	0	2	0	0	0	0	0	0	0
LBV	6	3	0	0	1	0	0	1	0	0	7	0	0	1	1	2	0
SPB	3	5	4	12	0	2	3	1	1	0	0	30	0	1	1	0	0
SXPHE	0	0	0	0	1	0	0	1	0	0	0	0	1	0	0	0	0
TTAU	2	0	2	0	2	0	0	5	0	0	1	0	0	9	0	0	0
WR	14	1	0	0	4	0	5	0	1	3	2	1	1	2	24	1	0
FUORI	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
SDBV	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	6
TOT	76	57	58	63	139	16	35	21	9	13	21	47	7	17	62	3	6
CC(%)	26.31	8.77	41.37	53.96	78.41	62.50	45.71	4.76	0	15.38	33.33	63.82	14.28	52.94	38.70	0	100.00