Research Article
Knowledge Reduction Based on Divide and Conquer Method in Rough Set Theory
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 |
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