An Automatic Detection Method of Nanocomposite Film Element Based on GLCM and Adaboost M1

Table 4

The comparison of performance.

	GABD	MLP	SVM	BayesNet	BP	RBF
Correctly classified instances	97.850%	97.833%	97.216%	96.366%	97.783%	97.817%
Incorrectly classified instances	2.150%	2.167%	2.784%	3.634%	2.217%	2.183%
TP rate	0.979	0.978	0.972	0.964	0.978	0.978
FP rate	0.011	0.011	0.014	0.018	0.011	0.011
Precision	0.980	0.980	0.973	0.965	0.979	0.979
Recall	0.979	0.978	0.972	0.964	0.978	0.978
-Measure	0.978	0.978	0.972	0.964	0.978	0.978
MCC	0.968	0.968	0.959	0.946	0.967	0.968
Time of building model	0.18 s	0.78 s	1.34 s	0.05 s	5.06 s	0.66 s