This paper concerns the performance of a recently proposed multi-label classification algorithm called Threshold ML-KNN. It is a modification of the established ML-KNN algorithm. The performance of both algorithms is compared on several publicly available benchmarks. Based on the results, the conclusion is drawn that Threshold ML-KNN is statistically significantly better in terms of accuracy, f-measure and hamming loss. © 2013 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Łukasik, M., & Sydow, M. (2013). Threshold ML-KNN: Statistical evaluation on multiple benchmarks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7912 LNCS, pp. 198–205). https://doi.org/10.1007/978-3-642-38634-3_22
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