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Rule Evaluation Measures: A Unifying View
[chapter]
1999
Lecture Notes in Computer Science
Numerous measures are used for performance evaluation in machine learning. In predictive knowledge discovery, the most frequently used measure is classification accuracy. With new tasks being addressed in knowledge discovery, new measures appear. In descriptive knowledge discovery, where induced rules are not primarily intended for classification, new measures used are novelty in clausal and subgroup discovery, and support and confidence in association rule learning. Additional measures are
doi:10.1007/3-540-48751-4_17
fatcat:izypcagfrjbv3ifgh5wqsfrf5q