Abstract
Through analyzing the limitations of modeling and evaluating the cost-sensitive multiclass classification algorithms, a series of models based on three classification algorithms are presented. On this basis, expected cost of misclassification as a cost-sensitive metric, which is introduced for evaluating the more cost details of models.
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Acknowledgements
This work is supported by the National Science Foundation of P. R. China under Grant (No. 61309033, No. 61402147), the Scientific Research Foundation of the Higher Education Institutions of Hebei Province of China (QN20131048) and the Open Fund of the State Key Laboratory of Virtual Reality Technology and Systems (No. BUAA-VR-16KF-02).
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Wu, X., Sun, H., Wu, Z., Miao, X. (2017). Modeling and Evaluating of Decision Support System Based on Cost-Sensitive Multiclass Classification Algorithms. In: Xhafa, F., Patnaik, S., Yu, Z. (eds) Recent Developments in Intelligent Systems and Interactive Applications. IISA 2016. Advances in Intelligent Systems and Computing, vol 541. Springer, Cham. https://doi.org/10.1007/978-3-319-49568-2_61
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DOI: https://doi.org/10.1007/978-3-319-49568-2_61
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