Research Article
High-Performance Machine Learning for Large-Scale Data Classification considering Class Imbalance
Table 3
The comparisons of the classification accuracy using Borderline-SMOTE.
| Imbalance class ratio | Balanced dataset accuracy (%) | Imbalanced dataset accuracy (%) |
| 5000 : 1000 | 98.09 | 73.15 | 5000 : 500 | 95.19 | 68.32 | 5000 : 50 | 80.53 | 56.20 | 5000 : 10 | 67.45 | 53.13 |
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