A Bayesian Classification Intrusion Detection Method Based on the Fusion of PCA and LDA

Table 3

Complete test results for the algorithm without improvement.

Dimension	41	40	39	38	37	36	35	34	33	32	31
Accuracy	0.94	0.94	0.92	0.92	0.91	0.91	0.90	0.83	0.90	0.91	0.89
Time	21.2	21.0	19.9	18.5	18.4	18.1	17.4	17.0	16.5	16.5	15.9
Dimension	30	29	28	27	26	25	24	23	22	21	20
Accuracy	0.87	0.87	0.83	0.87	0.87	0.80	0.80	0.84	0.88	0.83	0.86
Time	15.3	15.9	14.6	14.1	13.7	13.2	13.2	12.6	12	11.8	11.6
Dimension	19	18	17	16	15	14	13	12	11	10	9
Accuracy	0.86	0.87	0.83	0.82	0.88	0.90	0.88	0.85	0.86	0.90	0.89
Time	11.1	10.8	10.5	10.1	9.7	9.2	8.8	8.6	11.6	10.6	9.3
Dimension	8	7	6	5	4	3
Accuracy	0.90	0.91	0.89	0.90	0.85	0.84
Time	10.2	8.6	7.9	7.3	10.9	10