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ROC curves for the CART Algorithm in STATISTICA Data Miner
Bohumil Jakoubek
285 - 289
Frontiers in Artificial Intelligence and Applications
Volume 154: Information Modelling and Knowledge Bases XVIII
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.

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