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