ROC curves for the CART Algorithm in STATISTICA Data Miner

  • Authors:

  • Bohumil Jakoubek

  • Affiliations:

  • Faculty of Informatics and Management, Department of Informatics and Quantitative Methods, University of Hradec Kralove, Rokitanskeho 62, 500 03 Hradec Kralove 3, Czech Republic

  • Venue:
  • Proceedings of the 2007 conference on Information Modelling and Knowledge Bases XVIII
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

ROC curves are widely used as a tool to evaluate classification models. This paper describes the use of the macro language STATISTICA Visual Basic to construct receiver operating characteristics curves (ROC) for the CART algorithm implemented in the data mining system STATISTICA Data Miner. STATISTICA has an option of ROC curves only for neural networks, therefore the macro presented here is useful for evaluation and comparison the classification models that are built with the CART algorithm. The possibilities of this macro are presented on one data set.