Research Article
Prediction of Defective Software Modules Using Class Imbalance Learning
Table 7
Comparison on the basis of geometric mean values on eight datasets.
| Dataset | SVM | CBNN | NB | RF | LR | -NN | BBN | C4.5 | LSTSVM | WLSTSVM |
| CM1 | 0.3809 | 0.6496 | 0.6039 | 0.4358 | 0.4024 | 0.5125 | 0.4938 | 0.3355 | 0.7088 | 0.7198 | KC1 | 0.4399 | 0.6918 | 0.5389 | 0.4436 | 0.5108 | 0.5685 | 0.4672 | 0.4766 | 0.7039 | 0.7173 | PC1 | 0.7314 | 0.6718 | 0.5673 | 0.5378 | 0.4425 | 0.4803 | 0.6605 | 0.4848 | 0.7247 | 0.7345 | PC3 | 0.6191 | 0.6640 | 0.5086 | 0.3971 | 0.3904 | 0.4801 | 0.4305 | 0.4315 | 0.6138 | 0.6438 | PC4 | 0.7652 | 0.7312 | 0.5807 | 0.580 | 0.4838 | 0.5052 | 0.5984 | 0.4899 | 0.7104 | 0.7505 | MC2 | 0.6273 | 0.6036 | 0.5615 | 0.6109 | 0.3834 | 0.4659 | 0.5433 | 0.4270 | 0.5960 | 0.6345 | KC2 | 0.7150 | 0.6993 | 0.6874 | 0.6212 | 0.5964 | 0.6780 | 0.6335 | 0.5562 | 0.7479 | 0.7788 | KC3 | 0.5538 | 0.6138 | 0.6058 | 0.4860 | 0.3407 | 0.6417 | 0.5807 | 0.4302 | 0.6511 | 0.6642 |
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