Fault Diagnosis of Batch Reactor Using Machine Learning Methods

Table 7

Performance criteria of the classifiers.

Classifiers	Bayes			MLP			RBF
	5 features	9 features	15 features	5 features	9 features	15 features	5 features	9 features	15 features
Correctly classified instance	13 (54%)	13 (54%)	14; (58%)	22; (92%)	24; (100%)	24; (100%)	24	24	24
Incorrectly classified instance	11; (45%)	11; (45%)	10; (42%)	2; (8%)	0 (0%)	0 (0%)	0	0	0
Kappa statistics	0.44	0.44	0.5	0.9	1	1	1	1	1
Mean absolute error	0.15	0.15	0.14	0.11	0.063	0.0394	0.0005	0.0001	0.0001
Root mean square error (%)	0.29	0.29	0.27	0.18	0.1074	0.0694	0.0031	0.0004	0.04
Relative absolute error (%)	64	64	58	44	26	16	0.2068	0.03	0.02
Root relative squared error (%)	83	83	79	53	31	20	0.91	0.13	0.11
Total number of instances: 24