Table 2: The recognition of 6 algorithms on uci data sets.

Data sets KNN SVM C4.5 Naive bayes CART Our methods

Zoo 0.9208 0.9603 0.8713 0.9702 0.9109 0.9208
Iris 0.9600 0.9467 0.9600 0.9533 0.9533 0.9467
Wine 0.9719 0.4887 0.8483 0.9775 0.8652 0.9607
Machine 0.8461 0.6490 0.8173 0.8173 0.8173 0.8894
Glass 0.7009 0.6963 0.5935 0.4953 0.7009 0.7149
Voting 0.9149 0.9333 0.9517 0.9425 0.9563 0.9333
Wdbc 0.9490 0.6274 0.9367 0.9349 0.9332 0.9139
Balance scale 0.9024 0.952 0.7488 0.9088 0.7920 0.7712
Breast 0.9570 0.3462 0.9399 0.9613 0.9399 0.9341
Crx 0.8710 0.5565 0.8232 0.7522 0.8406 0.7754
Tic-tac-toe 0.6952 1.0000 0.7328 0.7150 0.8779 0.9624

Average 0.8808 0.7415 0.8385 0.8571 0.8716 0.8839