1 research outputs found
Deleting or Keeping Outliers for Classifier Training?
This paper introduces two statistical outlier
detection approaches by classes. Experiments on binary and
multi-class classification problems reveal that the partial
removal of outliers improves significantly one or two
performance measures for C4.S and I-nearest neighbour
classifiers. Also, a taxonomy of problems according to the
amount of outliers is proposed.MICYT TIN2007- 68084-C02-02MICYT TIN2011-28956-C02-02Junta de Andaluc铆a Pll-TIC-752