Table 1. Statistic evaluations and validation of SVM-Pose.

	SVM-Pose
	1PB7	1PB8	1PB9	1PBQ	1Y1M	1Y1Z	1Y20
r2	0.98	0.99	0.97	0.94	0.98	0.98	0.93
ΔMax	0.00	0.09	0.42	0.14	0.49	0.49	0.57
MAE	0.00	0.02	0.19	0.02	0.17	0.37	0.14
s	0.00	0.02	0.12	0.03	0.16	0.18	0.21
RMSE	0.00	0.02	0.22	0.03	0.23	0.41	0.25
	0.89	0.95	0.93	0.91	0.91	0.91	0.90
	0.98	0.99	0.97	0.93	0.97	0.97	0.92
k	1.00	0.99	1.00	0.98	0.99	1.00	0.99
	0.97	0.99	0.97	0.92	0.97	0.97	0.91
	0.96	0.97	0.94	0.90	0.94	0.96	0.86
	0.94	0.97	0.91	0.83	0.93	0.93	0.79
	0.95	0.97	0.92	0.86	0.83	0.94	0.83
	0.02	0.00	0.03	0.07	0.01	0.03	0.07
Eq. (1)	x	x	x	x	x	x	x
Eq. (2)	x	x	x	x	x	x	x
Eq. (3)	x	x	x	x	x	x	x
Eq. (4)	x	x	x	x	x	x	x
Eq. (5)	x	x	x	x	x	x	x
Eq. (6)	x	x	x	x	x	x	x

Statistic evaluations of SVM-Score models, namely correlation coefficient (r²), 10-fold cross-validation correlation coefficient (), maximal absolute residual (Δ_Max), mean absolute error (MAE), standard deviation (s), and RMSE as well as validation.