INTERNATIONAL JOURNA L OF ENGINEERING SCI ENCES & RESEARCH TECHNOLOGY Empirical Study On Error Correcting Output Code Based On Multiclass Classification
Devangini Dave, M. Samvatsar, Praveen Kumar Bhanodia · 2012
A common way to address a multi-class classification problem is to design a model t hat consists of hand picked binary classifiers and to combine them so as to sol ve the problem. Error such framework that deals with multi-class classification problems. Recent works in the ECOC domain has shown promising results demonstrating im proved performance. Therefore, ECOC framework is a powerful tool to deal with multi-class classification problems. T he the base classifiers. This paper introduces state sparse random, DECOC, forest-ECOC, and ECOC hamming, laplacian, �-density, attenuated, loss along with empirical study of ECOC following comparison of various ECOC methods in the above context. Towards the end, our paper consolidates details rel ating to comparison of various classification metho ds with Error Correcting Output Code me thod available in supplement to our studies. Index Terms —Coding, Decoding, Error Correcting Output Codes, Multiclass Classification. .