Multi-Label Feature Selection with Conditional Mutual Information

Table 4

One Error of results after applying multi-label feature selection algorithms on ten datasets.

Algorithms	CRMIL	SCLS	D2F	FIMF	PMU	AMI	NMDG	FSSL	MFS-MCDM
Corel5k	0.7021	0.7756	0.8884	0.8986	0.9083	0.7449	0.8325	0.7659	0.7835
Delicious	0.5821	0.5869	0.5869	0.6104	0.6104	0.6573	0.5819	0.5813	0.5839
Flags	0.2461	0.3847	0.4462	0.5231	0.4770	0.4924	0.4048	0.3195	0.4184
Medical	0.5057	1	0.5646	0.7058	0.5436	0.6288	0.5578	0.5351	0.5831
Scene	0.3837	0.4089	0.4340	0.5410	0.4432	0.5335	0.4176	0.4283	0.4478
Enron	0.3126	0.3892	0.3927	0.3914	0.4207	0.4126	0.3548	0.3420	0.4037
GenBase	0.2861	0.3318	0.3495	0.3512	0.3572	0.3436	0.3201	0.3158	0.4236
Social	0.2913	0.3147	0.3151	0.3261	0.3753	0.3428	0.3195	0.3017	0.3759
Yeast	0.3246	0.3401	0.3473	0.3572	0.3599	0.3487	0.3370	0.3318	0.3321
Emotions	0.3471	0.3722	0.3875	0.3812	0.3903	0.3689	0.3604	0.3557	0.3591
Average	0.3981	0.4904	0.4712	0.5086	0.4886	0.4874	0.4486	0.4277	0.4711