PERFORMANCE EVALUATION OF THE DATA MINING CLASSIFICATION METHODS

Cristina Oprea
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Cristina Oprea: PETROLEUM-GAS UNIVERSITY, PLOIESTI

Annals - Economy Series, 2014, vol. Special, 249-253

Abstract: The paper aims to analyze how the performance evaluation of different classification models from data mining process. Classification is the most widely used data mining technique of supervised learning. This is the process of identifying a set of features and templates that describe the data classes or concepts. We applied various classification algorithms on different data sets to streamline and improve the algorithm performance.

Keywords: classification; mining techniques; algorithms; cost-sensitive; ROC curve. (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:cbu:jrnlec:y:2014:v:special:p:249-253

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