Understanding some of the output of a classifier based on JRip rules

I started JRip and I got a set of rules in this form:

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(something >= 0.076) and (someotherthing >= 0.013) => class=1 (944.0/42.0)

I understand what the numbers 944.0 and 42.0 mean. Almost certainly 944.0 is the number of instances covered by this rule, but I cannot really reveal the second.

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2 answers

second number the number of copies classified by rule

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Result (A / B) indicates:

  • A: weight of all instances supported by the rule
  • B: the weight of all copies is incorrectly classified
  • (A - B): the weight of all instances is correctly classified, thus A > B

, , 1, .

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Source: https://habr.com/ru/post/1526980/


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