Research Article
Software Defect Prediction for Healthcare Big Data: An Empirical Evaluation of Machine Learning Techniques
Table 2
Attributes, instances, defective, and nondefective modules of each utilized dataset.
| S. No. | Datasets | No. of attributes | No. of instances | No. of defective modules | No. of nondefective modules | Data type |
| 1 | AR1 | 30 | 121 | 9 | 7.4% | 112 | (92.6%) | Numerical | 2 | AR3 | 30 | 63 | 8 | 12.7% | 55 | (87.3%) | Numerical | 3 | CM1 | 22 | 498 | 49 | 9.8% | 449 | (90.2%) | Numerical | 4 | JM1 | 22 | 9593 | 1759 | 18.3% | 7834 | (81.7%) | Numerical | 5 | KC2 | 22 | 522 | 107 | 20.5% | 415 | (79.5%) | Numerical | 6 | KC3 | 40 | 194 | 36 | 18.6% | 158 | (81.4%) | Numerical | 7 | MC1 | 40 | 9466 | 68 | 0.7% | 9398 | (99.3%) | Numerical |
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