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. Author manuscript; available in PMC: 2021 Feb 9.
Published in final edited form as: Proc Annu Hawaii Int Conf Syst Sci. 2021 Jan;54:3583–3592.

Table 4.

Feature Pruning Results Using EBBag

Model Pruned Feature Set
Random Forest  mean skin temperature, mean EDA, BVP Root Mean Square, x-axis median, y-axis minimum, BVP mean IBI
Decision Tree  mean skin temperature, mean EDA, x-axis median, z-axis maximum, EDA 20th percentile
Logistic Regression  mean skin temperature, mean EDA, number of EDA peaks, y-axis median, x-axis mean average derivative, x-axis total power, number of BVP peaks, z-axis zero-crossing rate, y-axis variance
Support Vector Machine  mean skin temperature, EDA number of peaks, EDA 20th percentile, y-axis maximum, z-axis median, BVP root mean square