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. Author manuscript; available in PMC: 2026 Feb 6.
Published in final edited form as: IEEE Trans Biomed Eng. 2023 Jun 19;70(7):2139–2148. doi: 10.1109/TBME.2023.3236918

TABLE III.

Regression statistics and agreement between predicted and exact WI peak times.

F-ML Algorithm Lasso KRR SVR Random Forrest Gradient Boosting Neural Network
Wf1 Peak Time
Correlation Coefficient (r) 0.55 0.75 0.75 0.51 0.68 0.80
RMSE 7.3 5.9 6.1 7.7 6.5 5.4
Normalized RMSE (%) 13.0 10.6 10.8 13.7 11.6 9.8
Limit of Agreement 28.5 23.2 23.8 30.1 25.1 20.5
Mean Difference −0.3 0.1 0.2 0.0 0.0 0.7
Wf2 Peak Time
Correlation Coefficient (r) 0.92 0.97 0.97 0.84 0.92 0.97
RMSE 11.3 7.1 8.1 16.7 11.7 6.8
Normalized RMSE (%) 5.6 3.5 4.0 8.2 5.7 3.3
Limit of Agreement 44.1 27.9 31.9 65.5 43.9 27.0
Mean Difference 1.1 0.4 0.6 −1.1 −0.8 −2.3
Wb1 Peak Time
Correlation Coefficient (r) 0.49 0.59 0.60 0.45 0.55 0.60
RMSE 24.0 22.0 21.9 24.8 23.0 22.2
Normalized RMSE (%) 14.2 13.0 13.0 14.7 13.6 13.1
Limit of Agreement 94 86.2 85.9 97.4 93.1 88.5
Mean Difference −0.4 0.3 0.5 −0.3 −0.2 −0.5
*

Correlations have p-values< 0.05 unless otherwise indicated. All wave intensity timings are reported in units of ms. SVR indicates the support vector regressor. KRR indicates the kernel ridge regressor. Underline values show the highest correlations.