Research Article
A Decoupling and Bidirectional Resampling Method for Multilabel Classification of Imbalanced Data with Label Concurrence
Table 2
Accuracy values of different resampling algorithms.
| Algorithm | Dataset | LP-ROS | REMEDIAL-HwR-HUS | REMEDIAL-HwR-ROS | ML-DBR |
| LP | Yeast | 0.4038 | 0.4179 | 0.4344 | 0.4321 | LP | Enron | 0.3447 | 0.3523 | 0.3605 | 0.3936 | LP | tmc-2007 | 0.5929 | 0.6027 | 0.6038 | 0.6052 | LP | cal-500 | 0.2069 | 0.1851 | 0.2291 | 0.2284 | LP | Corel-16k | 0.0951 | 0.1018 | 0.1196 | 0.1356 | LP | Corel-5k | 0.0864 | 0.1011 | 0.0924 | 0.1028 | LP | Mediamill | 0.4039 | 0.4326 | 0.4462 | 0.4697 | BR | Yeast | 0.4027 | 0.4306 | 0.4191 | 0.4286 | BR | Enron | 0.3134 | 0.3912 | 0.3903 | 0.4291 | BR | tmc-2007 | 0.4862 | 0.6012 | 0.6068 | 0.6127 | BR | cal-500 | 0.1961 | 0.1849 | 0.2336 | 0.2315 | BR | Corel-16k | 0.0958 | 0.1067 | 0.1214 | 0.1338 | BR | Corel-5k | 0.0871 | 0.0951 | 0.0894 | 0.0972 | BR | Mediamill | 0.4018 | 0.4276 | 0.4250 | 0.4429 | ML-kNN | Yeast | 0.4046 | 0.4219 | 0.4367 | 0.4463 | ML-kNN | Enron | 0.3875 | 0.4286 | 0.4322 | 0.4468 | ML-kNN | tmc-2007 | 0.5328 | 0.6340 | 0.6379 | 0.6479 | ML-kNN | cal-500 | 0.2494 | 0.2231 | 0.2771 | 0.2741 | ML-kNN | Corel-16k | 0.1028 | 0.1242 | 0.1266 | 0.1453 | ML-kNN | Corel-5k | 0.1020 | 0.1238 | 0.1136 | 0.1221 | ML-kNN | Mediamill | 0.4457 | 0.4813 | 0.4879 | 0.4908 |
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