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Table 12 F-measure value for UCPMOT_MEMMOT

From: Improved classification of large imbalanced data sets using rationalized technique: Updated Class Purity Maximization Over_Sampling Technique (UCPMOT)

Data set Number of mappers
8 16 32 64
KEGG-U 0.85 0.84 0.82 0.81
PAMAP2 0.76 0.74 0.73 0.72
Mashup 0.54 0.53 0.52 0.50
  1. Classifier—AdaBooost, Cross-validation—tenfold, K NN  = 5