Research Article
A New Robust Classifier on Noise Domains: Bagging of Credal C4.5 Trees
Table 13
values of the Nemenyi test about the accuracy on data sets with 30% of added noise.
| ā | Algorithms | |
| 21 | BA-C4.5-U versus BA-CC4.5 | 0 | 20 | BA-C4.5-U versus BA-CDT | 0 | 19 | BA-CC4.5 versus RF | 0 | 18 | BA-CDT versus RF | 0 | 17 | BA-CDT-U versus BA-CC4.5 | 0 | 16 | BA-C4.5-U versus BA-CC4.5-U | 0 | 15 | BA-CDT-U versus BA-CDT | 0 | 14 | BA-CC4.5-U versus RF | 0 | 13 | BA-C4.5-U versus BA-C4.5 | 0.000003 | 12 | BA-C4.5 versus BA-CC4.5 | 0.000038 | 11 | BA-C4.5 versus RF | 0.000101 | 10 | BA-C4.5 versus BA-CDT | 0.000111 | 9 | BA-CDT-U versus BA-CC4.5-U | 0.000668 |
| 8 | BA-CC4.5-U versus BA-CC4.5 | 0.005479 | 7 | BA-C4.5-U versus BA-CDT-U | 0.008911 | 6 | BA-CC4.5-U versus BA-CDT | 0.01164 | 5 | BA-CDT-U versus BA-C4.5 | 0.039403 | 4 | BA-CDT-U versus RF | 0.067475 | 3 | BA-CC4.5-U versus BA-C4.5 | 0.179454 | 2 | BA-C4.5-U versus RF | 0.431313 | 1 | BA-CDT versus BA-CC4.5 | 0.799032 |
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