Research Article
Software Defect Prediction Based on Fuzzy Weighted Extreme Learning Machine with Relative Density Information
Table 7
Cliff’s
in terms of
-mean between FWELM-INTRA and other approaches.
| Data set | FWELM-INTER | ELM | ELM-RUS | ELM-ROS | ELM-SMOTE | WELM1 | WELM2 | DNC |
| mc2 | 0.073 | 0.646 | 0.073 | 0.556 | 0.364 | 0.086 | 0.932 | 0.867 | kc2 | 0.073 | 0.944 | 0.073 | 0.073 | 0.073 | 0.052 | 0.615 | 0.134 | jm1 | 0.103 | 0.955 | 0.003 | 0.003 | 0.007 | 0.064 | 0.823 | 0.043 | kc3 | 0.103 | 1.000 | 0.736 | 0.736 | 0.632 | 0.582 | 1.000 | 0.715 | kc1 | 0.073 | 0.955 | 0.153 | 0.153 | 0.153 | 0.002 | 0.496 | 0.073 | pc3 | 0.007 | 1.000 | 0.073 | 0.073 | 0.061 | 0.035 | 0.632 | 0.073 | pc4 | 0.073 | 0.944 | 0.007 | 0.007 | 0.013 | 0.047 | 0.074 | 0.336 | mw1 | 0.131 | 1.000 | 0.353 | 0.214 | 0.398 | 0.073 | 0.925 | 0.338 | cm1 | 0.073 | 1.000 | 0.214 | 0.015 | 0.036 | 0.006 | 0.516 | 0.491 | pc1 | 0.130 | 1.000 | 0.756 | 0.585 | 0.413 | 0.628 | 1.000 | 0.263 |
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