基于邻域交互增益信息的多标记流特征选择算法
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陈超逸,林耀进,唐莉,王晨曦
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Streaming multi⁃label feature selection based on neighborhood interaction gain information
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Chaoyi Chen,Yaojin Lin,Li Tang,Chenxi Wang
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表7 SMFS与OM?NRS的AP,RL和HL的比较
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Table 7 AP,RL and HL of SMFS and OM?NRS
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| AP | RL | HL |
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SMFS | OM?NRS | SMFS | OM?NRS | SMFS | OM?NRS |
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平均值 | 0.6707 | 0.6562 | 0.1405 | 0.1408 | 0.0983 | 0.0989 | A | 0.5319 | 0.5217 | 0.1419 | 0.1440 | 0.0593 | 0.0606 | B | 0.5199 | 0.4842 | 0.2160 | 0.2190 | 0.0500 | 0.0518 | C | 0.8762 | 0.8760 | 0.0410 | 0.0411 | 0.0274 | 0.0274 | D | 0.5557 | 0.5398 | 0.0923 | 0.0912 | 0.0409 | 0.0408 | E | 0.7871 | 0.7608 | 0.1749 | 0.1765 | 0.2137 | 0.2104 | F | 0.7533 | 0.7545 | 0.1768 | 0.1732 | 0.1983 | 0.2021 |
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