J48Consolidated WEKA paketea, adibide ezohikoen patroiak identifikatzeko tresna

  1. Igor Ibarguren
  2. Jesús M. Pérez
Journal:
Ekaia: Euskal Herriko Unibertsitateko zientzi eta teknologi aldizkaria

ISSN: 0214-9001

Year of publication: 2016

Issue: 29

Pages: 155-178

Type: Article

DOI: 10.1387/EKAIA.14666 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Ekaia: Euskal Herriko Unibertsitateko zientzi eta teknologi aldizkaria

Abstract

This article presents the implementation of the CTC algorithm for the WEKA machine learning tool, the J48Consolidated package. The CTC algorithm creates a set of samples and taking the knowledge of all samples into account, is able to build a single classification tree, keeping the explanation of how new examples are classified. In addition, this work analyzes the results achieved by trees built by J48Con- solidated on 36 real world problems, using multiple sampling strategies and with dif- ferent coverage values of the original sample. Results show that higher coverage values increase discriminating capacity and using stratified subsamples reduced to a 75% of the size give the most competitive results on these datasets.