In this paper we examine some nonparametric evaluation methods to compare the prediction capability of supervised classification models. We show also the importance, in nonparametric models, to eliminate the noise variables with a simple selection procedure. It is shown that a simpler model usually gives lower prediction error and is more interpretable. We show some empirical results applying nonparametric classification models on real and artificial data sets.

Borra, S., Di Ciaccio, A. (2005). Methods to compare nonparametric classifiers and to select the predictors. In New developments in classification and data analysis: proceedings of the meeting of the Classification and data analysis group (CLADAG) of the Italian statistical society, University of Bologna, September 22-24, 2003. Edited by Vichi, M., Monari, P., Mignani, S., Montanari, A (pp.11-19). Berlin : Springer [10.1007/b138989].

Methods to compare nonparametric classifiers and to select the predictors

BORRA, SIMONE;
2005-01-01

Abstract

In this paper we examine some nonparametric evaluation methods to compare the prediction capability of supervised classification models. We show also the importance, in nonparametric models, to eliminate the noise variables with a simple selection procedure. It is shown that a simpler model usually gives lower prediction error and is more interpretable. We show some empirical results applying nonparametric classification models on real and artificial data sets.
Meeting of the Classification and data analysis group of the Italian statistical society
Bologna
2003
Italian statistical society, Classification & data analysis group
Rilevanza internazionale
contributo
Settore SECS-S/01 - Statistica
English
Intervento a convegno
Borra, S., Di Ciaccio, A. (2005). Methods to compare nonparametric classifiers and to select the predictors. In New developments in classification and data analysis: proceedings of the meeting of the Classification and data analysis group (CLADAG) of the Italian statistical society, University of Bologna, September 22-24, 2003. Edited by Vichi, M., Monari, P., Mignani, S., Montanari, A (pp.11-19). Berlin : Springer [10.1007/b138989].
Borra, S; Di Ciaccio, A
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/26747
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