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Performance Evaluation of a Multi-stage Classification for Cow Behavior

Phung, Cong Phi Khanh and Ton, That Long and Nguyen, Dinh Chinh and Tran, Duc Tan (2018) Performance Evaluation of a Multi-stage Classification for Cow Behavior. In: 2018 The International Conference on Recent Advances in Signal Processing, Telecommunications & Computing (SigTelCom), 29-31 January 2018, Ho Chi Minh city, Vietnam.

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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.

Item Type: Conference or Workshop Item (Paper)
Subjects: Electronics and Communications > Electronics and Computer Engineering
Divisions: Faculty of Electronics and Telecommunications (FET)
Depositing User: Assoc/Prof Duc Tan Tran
Date Deposited: 19 Mar 2018 07:10
Last Modified: 19 Mar 2018 07:10

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