Open Access
表6
数据扩充前后OTE算法的特征选择精度对比
| 数据集 | 特征选择前 分类精度/% |
基于OTE思想 | |||
| 未扩充的特征选择 | 扩充后的特征选择 | ||||
| 特征数 | 分类精度/% | 特征数 | 分类精度/% | ||
| dataR2 | 52.17 | 6 | 61.76 | 6 | 61.76 |
| glass | 67.69 | 8 | 70.31 | 7 | 75.00 |
| parkinsons | 91.40 | 15 | 96.55 | 10 | 94.83 |
| wpbc | 72.88 | 24 | 74.41 | 25 | 86.44 |
| sonar | 80.48 | 47 | 82.25 | 28 | 90.48 |
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