Difficulty Factors and Preprocessing in Imbalanced Data Sets: An Experimental Study on Artificial Data

Difficulty Factors and Preprocessing in Imbalanced Data Sets: An Experimental Study on Artificial Data

In this paper we describe results of an experimental study where we checked the impact of various difficulty factors in imbalanced data sets on the performance of selected classifiers applied alone or combined with several preprocessing methods. In the study we used artificial data sets in order to...

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Bibliographic Details
Main Authors: Wojciechowski Szymon, Wilk Szymon
Format: Article
Language:English
Published: Sciendo 2017-06-01
Series:Foundations of Computing and Decision Sciences
Subjects:
imbalanced data
difficulty factors
preprocessing methods
learning and classification
Online Access:https://doi.org/10.1515/fcds-2017-0007

Internet

https://doi.org/10.1515/fcds-2017-0007

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