Bonfring International Journal of Man Machine Interface
Online ISSN: 2277-5064 | Print ISSN: 2250-1061 | Frequency: 4 Issues/Year
Impact Factor: 0.325 | International Scientific Indexing(ISI) calculate based on International Citation Report(ICR)
Effectiveness Evaluation of Rule Based Classifiers for the Classification of Iris Data Set
Abstract:
In machine learning, classification refers to a step by step procedure for designating a given piece of input data into any one of the given categories. There are many classification problem occurs and need to be solved. Different types are classification algorithms like tree-based, rule-based, etc are widely used. This work studies the effectiveness of Rule-Based classifiers for classification by taking a sample data set from UCI machine learning repository using the open source machine learning tool. A comparison of different rule-based classifiers used in Data Mining and a practical guideline for selecting the most suited algorithm for a classification is presented and some empirical criteria for describing and evaluating the classifiers are given.
Keywords: IRIS, Fuzzy clustering, DTNB Classifier, RIDOR Classifier, Conjunctive Rule Classifier
Volume: 1 | Issue: Inaugural Special Issue
Pages: 05-09
Issue Date: December , 2011
DOI: 10.9756/BIJMMI.1002
 |
|