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. 2021 Feb 18;25(5):1347–1357. doi: 10.1109/JBHI.2021.3060035

Fig. 5.

Fig. 5.

Box-plot for the results of IE-Net and other algorithms in terms of accuracy, recall, precision and AUC (%). GB, RF, MLP denote gradient boosting, random forest, and multi-Layer perception, respectively. IE-Net (zeros) denotes the results of absent tests are filled with 0.