Research Article
A Decoupling and Bidirectional Resampling Method for Multilabel Classification of Imbalanced Data with Label Concurrence
Table 3
Macro-F values of different resampling algorithms.
| Algorithm | Dataset | LP-ROS | REMEDIAL-HwR-HUS | REMEDIAL-HwR-ROS | ML-DBR |
| LP | Yeast | 0.4328 | 0.4592 | 0.4629 | 0.4609 | LP | Enron | 0.3582 | 0.3863 | 0.3927 | 0.4151 | LP | tmc-2007 | 0.5174 | 0.6138 | 0.6199 | 0.6264 | LP | cal-500 | 0.3041 | 0.3028 | 0.3325 | 0.3406 | LP | Corel-16k | 0.0924 | 0.1057 | 0.1129 | 0.1377 | LP | Corel-5k | 0.1236 | 0.1429 | 0.1354 | 0.1438 | LP | Mediamill | 0.2248 | 0.2379 | 0.2406 | 0.2428 | BR | Yeast | 0.4320 | 0.4573 | 0.4512 | 0.4556 | BR | Enron | 0.3602 | 0.3667 | 0.4021 | 0.4134 | BR | tmc-2007 | 0.5228 | 0.5854 | 0.6039 | 0.6194 | BR | cal-500 | 0.3112 | 0.2935 | 0.3209 | 0.3461 | BR | Corel-16k | 0.0941 | 0.1124 | 0.1136 | 0.1461 | BR | Corel-5k | 0.1265 | 0.1479 | 0.1323 | 0.1468 | BR | Mediamill | 0.2392 | 0.2416 | 0.2473 | 0.2605 | ML-kNN | Yeast | 0.4292 | 0.4760 | 0.5374 | 0.5360 | ML-kNN | Enron | 0.4338 | 0.3851 | 0.4417 | 0.4624 | ML-kNN | tmc-2007 | 0.4864 | 0.6133 | 0.6420 | 0.6515 | ML-kNN | cal-500 | 0.3543 | 0.3691 | 0.3757 | 0.4204 | ML-kNN | Corel-16k | 0.1245 | 0.1263 | 0.1565 | 0.1829 | ML-kNN | Corel-5k | 0.2012 | 0.2205 | 0.2187 | 0.2274 | ML-kNN | Mediamill | 0.2572 | 0.2938 | 0.2856 | 0.3067 |
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