Slide 35
Slide 35 text
The OneR algorithm
● OneR, short for "One Rule", is a simple, yet accurate, classification algorithm
that generates one rule for each predictor/feature in a dataset, and then
selects the rule with the smallest total error as its "one rule" (Berry M and
Linoff, 2000)(*).
● Revised version of OneR: the rule with the highest accuracy (smallest error)
and highest coverage is selected. We have introduced a “score” metric as
the product of the accuracy and coverage of a rule, to ease this selection.
(*) F. Alam and S. Pachauri, “Comparative Study of J48, Naive Bayes and One-R Classification Technique for Credit Card Fraud Detection using
WEKA,” Adv. Comput. Sci. Technol. , vol. 10, no. 6, 2017.