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- W2795170329 abstract "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 often consists of multiple stages of simpler classifiers with multi-level decision thresholds. This paper proposes to use a parallel of multiple thresholds in order to maximize one of statistical measures of performance (i.e. sensitivity, specificity, and precision), after the evaluation of the performance of the multi-stage system using a series of ROC and thresholds is done. The proposed method is then applied to the existing experimental data provided in literature in order to highlight its advantages." @default.
- W2795170329 created "2018-04-06" @default.
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- W2795170329 date "2018-01-01" @default.
- W2795170329 modified "2023-09-27" @default.
- W2795170329 title "Performance evaluation of a multi-stage classification for cow behavior" @default.
- W2795170329 doi "https://doi.org/10.1109/sigtelcom.2018.8325774" @default.
- W2795170329 hasPublicationYear "2018" @default.
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