A Bayesian Classifier Learning Algorithm Based on Optimization Model

Table 1

Descriptions of UCI datasets used in the experiments.

NO.	Dataset	# Instances	# Attributes	# Classes	Missing value (N/Y)
1	Shuttle	15	6	2	N
2	Balloon	16	4	2	N
3	Lenses	24	4	3	N
4	Soybean (small)	47	35	4	N
5	Post-patient	90	8	3	Y
6	Zoo	101	17	7	N
7	Hayes-roth	132	5	3	N
8	Iris	150	4	3	N
9	Glass	214	10	7	N
10	Heart	267	22	2	N
11	Ionosphere	351	34	2	N
12	Monk’s	432	7	2	N
13	Vote	435	16	2	Y
14	Balance-scale	625	5	3	N
15	Tic-tac-toe	958	9	2	N
16	Car-evaluation	1728	6	4	N
17	Chess (kr-vs-kp)	3196	36	2	N
18	Mushroom	8124	22	2	Y
19	Nursery	12960	8	5	N
20	Letter	20000	16	26	N