Research Article
Imbalanced Data Sets Classification Based on SVM for Sand-Dust Storm Warning
Table 5
The comparison performances of different algorithms.
| | | Yanchi (53723) | Tongxin (53810) | | | Sensitivity | Precision | -measure | Sensitivity | Precision | -measure |
| | SVM | 43.39% | 40.18% | 41.72% | 42.43% | 40.17% | 41.27% | | RU-SMOTE | 80.20% | 81.59% | 80.89% | 80.34% | 80.67% | 80.50% | | means-SMOTE | 81.01% | 83.09% | 82.04% | 80.46% | 81.59% | 81.02% | | SRU-AIBSMOTE | 87.54% | 85.25% | 86.38% | 87.91% | 86.52% | 87.21% |
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