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Journal of Big Data

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
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