A nonparametric ensemble binary classifier and its statistical properties

Authors

Tanujit Chakraborty, Indian Statistical Institute, Kolkata
Ashis Kumar Chakraborty, Indian Statistical Institute, Kolkata
C. A. Murthy, Indian Statistical Institute, Kolkata

Article Type

Research Article

Publication Title

Statistics and Probability Letters

Abstract

In this work, we propose an ensemble of classification trees (CT) and artificial neural networks (ANN). Several statistical properties including universal consistency and upper bound of an important parameter of the proposed classifier are shown. Numerical evidence is also provided using various real-life data sets to assess the performance of the model. Our proposed nonparametric ensemble classifier does not suffer from the “curse of dimensionality” and can be used in a wide variety of feature selection cum classification problems. Performance of the proposed model is quite better when compared to many other state-of-the-art models used for similar situations.

First Page

16

Last Page

23

DOI

10.1016/j.spl.2019.01.021

Publication Date

6-1-2019

Comments

Open Access, Green

Recommended Citation

Chakraborty, Tanujit; Chakraborty, Ashis Kumar; and Murthy, C. A., "A nonparametric ensemble binary classifier and its statistical properties" (2019). Journal Articles. 823.
https://digitalcommons.isical.ac.in/journal-articles/823