%0 Conference Paper
%A Phung, Cong Phi Khanh
%A Ton, That Long
%A Nguyen, Dinh Chinh
%A Tran, Duc Tan
%B 2018 The International Conference on Recent Advances in Signal Processing, Telecommunications & Computing (SigTelCom)
%C Ho Chi Minh city, Vietnam
%D 2018
%F SisLab:2925
%P 121-125
%T Performance Evaluation of a Multi-stage Classification for Cow Behavior
%U https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2925/
%X Decision tree (DT) algorithm is a simple and effective method for classification of cow behavior. In order to evaluate the performance of this classifier, receiver-operating characteristic (ROC) curve is used. However, this classification is often consists of multiple stages of simpler classifiers with multilevel decision thresholds. In this paper, we firstly evaluate the performance of the multistage system using a series of ROC and thresholds. After that, we propose to use a parallel of multiple thresholds in order to maximize one of statistical measures of performance (i.e. sensitivity, specificity, and precision). Our work is verified by experimental published data in order to highlight its advantages compared to previous work.