COMPARATIVE ANALYSIS OF NAIVE BAYS CLASSIFIER AND DECISION TREE C4.5 ON CREDIT PAYMENT DATA SET

S.B.Siledar, S.R.Chaudhary

Abstract: A whole world is revolving around data. Current techno-world is generating huge amount of data. For research and analysis purpose data mining is essential. Data is collected from various resources, it needs preprocessing. Z-Normalization technique is one of the transformation technique which is used in preprocessing. Accuracy of Naïve Bays and Decision tree algorithm is increased after applying Z-score normalization on UCI - default of credit card clients data set.

Keywords: Data mining, Z-score normalization, Naïve Bays classification, Decision Tree C4.5, Z-score normalization, Naïve Bays classification, Decision Tree C4.5

DOI: https://doi.org/10.15623/ijret.2017.0604010