Table 7: Comparison with other traditional classifiers.

TechniqueMisclassification

Bayes classifier12
k-nearest neighborhood14
Fuzzy k-nn24
Fisher ratios13
Ho-kashyap12
Perceptron33
Fuzzy perceptron32
FMNN12
GFMN11/0
GFMN30
FMCN10
FMCN30
AFMN10
AFMN30

Training set is of 75 data points (25 from each class) and test set consists of remaining data points.
2Training data is of 36 data points (12 from each class) and test set consists of 36 data points; results are then scaled up for 150 points.
3Training and testing data are the same.