TABLE II.

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

F-ML Algorithm	Lasso	KRR	SVR	Random Forrest	Gradient Boosting	Neural Network
Wf1 Peak Amplitude
Correlation Coefficient (r)	0.83	0.88	0.88	0.83	0.85	0.88
RMSE	36.6	30.8	31.2	38.1	34.5	32.5
Normalized RMSE (%)	8.8	7.4	7.5	9.1	8.3	7.8
Limit of Agreement	143.2	120.7	122.5	150.0	135.6	125.0
Mean Difference	1.6	0.7	−1.1	−0.4	−0.4	1.2
Wf2 Peak Amplitude
Correlation Coefficient (r)	0.75	0.83	0.84	0.77	0.80	0.82
RMSE	13.6	11.3	11.1	13.0	12.2	11.8
Normalized RMSE (%)	10.6	8.8	8.7	10.1	9.5	9.2
Limit of Agreement	53.2	44.2	43.8	51.3	48.6	45.2
Mean Difference	−0.5	−0.2	−0.6	0.4	0.3	0.5
Wb1 Peak Amplitude
Correlation Coefficient (r)	0.57	0.69	0.71	0.63	0.62	0.69
RMSE	3.1	2.8	2.7	3.0	2.9	2.9
Normalized RMSE (%)	13.9	12.4	12.0	13.6	13.3	13.0
Limit of Agreement	12.3	10.8	10.5	11.9	11.6	11.3
Mean Difference	0.1	0.1	0.3	−0.2	−0.3	0.2

^*Correlations have $p$-values< 0.05 unless otherwise indicated. All wave intensity amplitudes are reported in units of $\frac{W}{m^2{s}^2}\times {10}^4$. SVR indicates the support vector regressor. KRR indicates the kernel ridge regressor. Underline values show the highest correlations.