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. Author manuscript; available in PMC: 2019 Feb 15.
Published in final edited form as: IEEE Sens J. 2017 Dec 27;18(4):1665–1674. doi: 10.1109/jsen.2017.2787628

Fig. 5.

Fig. 5

(a). Comparing RMSE for PEP estimates obtained using ensemble regression models vs. linear regression models on features obtained from SCG signals that performed best with XGBoost (i.e., LC+sternum z-axis). (b) RMSE for PEP estimates obtained using XGBoost on features obtained from LC+sternum z-axis while varying the learning rate parameter (c) RMSE for PEP estimates obtained using XGBoost on features obtained from LC+sternum z-axis while varying the column sample parameter. The shaded regions in parts (b) and (c) indicate the standard deviation since the cross-validation is repeated 50 times.