基于邻域交互增益信息的多标记流特征选择算法

陈超逸,林耀进,唐莉,王晨曦

Streaming multi⁃label feature selection based on neighborhood interaction gain information

Chaoyi Chen,Yaojin Lin,Li Tang,Chenxi Wang

表2 SMFS和其他算法的AP（↑）指标的比较

Table 2 AP (↑) of SMFS and other algorithms

数据集 MLNB MDDM?spc MDDM?proj PMU RF?ML SMFS 平均值 0.6520 0.6316 0.6311 0.6397 0.6499 0.6707 A 0.4991 0.4735 0.4669 0.4917 0.4834 0.5319 B 0.5052 0.4818 0.4564 0.5082 0.5263 0.5199 C 0.8713 0.8639 0.8633 0.8698 0.8742 0.8762 D 0.5478 0.4441 0.4824 0.4798 0.5114 0.5557 E 0.7529 0.7772 0.7683 0.7399 0.7566 0.7871 F 0.7355 0.7488 0.7490 0.7488 0.7476 0.7533