BPMLL

Dataset

http://mulan.sourceforge.net/datasets-mlc.html

yeast

name	domain	instances	nominal	numeric	labels	cardinality	density	distinct
yeast	biology	2417	0	103	14	4.237	0.303	198

Evaluation

evaluation criterion	BPMLL
hamming loss	0.247546346782988

Requrements

• Python 3.6
• numpy 1.13.3
• tensorflow 1.10.0
• scikit-learn 0.19.1

Parameter

• hidden_unit:0.8 * feature number
• Regularization alpha:0.1
• learning rate:0.05
• trainning step:500 * batch number

Reference

M.-L. Zhang, Z.-H. Zhou.Multilabel neural networks with applications to functional genomics and text categorization IEEE T. Knowl. Data En., 18 (10) (2006), pp. 1338-1351