Table 10.

Classification accuracy statistics.

Method	OA	Kappa
SVM	90.72%	0.88
J48 DTC	87.86%	0.85
RBFNN	89.46%	0.87
MMDC	91.42%	0.89
MLPNN	92.53%	0.91
RBFNN based on bagging	89.88%	0.87
MLPNN based on bagging	93.09%	0.91
J48 DT based on bagging	90.44%	0.88
RBFNN based on AdaBoost	90.65%	0.88
J48 DT based on AdaBoost	91.00%	0.89
MLPNN based on AdaBoost	93.27%	0.91
Improved DS evidence theory	92.95%	0.91
Concatenation combination	93.58%	0.92