MCDMMulti-label Metric

Jaccard Index

The Jaccard index measures the similarity between predicted and true label sets by computing the ratio of intersection to union. It is widely used in multi-label classification and set-based similarity tasks where partial overlap is important.

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Sources

  1. Jaccard, P. (1901). Etude comparative de la distribution florale dans une portion des Alpes et des Jura. Bulletin de la Société Vaudoise des Sciences Naturelles, 37, 547-579. link
  2. Tsoumakas, G., & Katakis, I. (2007). Multi-label classification: An overview. International Journal of Data Warehousing and Mining, 3(3), 1-13. DOI: 10.4018/jdwm.2007070101

Related methods

Referenced by

ScholarGateJaccard Index (Jaccard Similarity Coefficient). Retrieved 2026-06-04 from https://scholargate.app/en/model-evaluation/jaccard-index