Table 2. Results of graphDelta Evaluation on the CSAR Data Compared to K_deep and RF-Score^a.

			graphDelta		Kdeep(33)		RF-score33
dataset	epochs	MT/ST	r	RMSE	r	RMSE	r	RMSE
CASP2016	500	true	0.82	1.22	0.82	1.27	0.80	1.39
	500	false	0.84	1.17
	1000	true	0.86	1.11
	1000	false	0.84	1.16
	2000	true	0.84	1.17
	2000	false	0.87	1.05
CSAR NRC HiQ set1	500	true	0.74	1.67	0.72	2.08	0.77	1.99
	500	false	0.64	1.81
	1000	true	0.71	1.70
	1000	false	0.71	1.66
	2000	true	0.74	1.59
	2000	false	0.74	1.59
CSAR NRC HiQ set2	500	true	0.60	1.86	0.65	1.91	0.75	1.66
	500	false	0.59	1.72
	1000	true	0.56	1.92
	1000	false	0.71	1.52
	2000	true	0.64	1.73
	2000	false	0.71	1.53
CSAR12	500	true	0.52	1.16	0.37	1.59	0.46	1.00
	500	false	0.41	1.37
	1000	true	0.59	0.94
	1000	false	0.54	1.11
	2000	true	0.52	1.10
	2000	false	0.48	1.14
CSAR14	500	true	0.72	1.40	0.61	1.75	0.80	0.87
	500	false	0.66	1.51
	1000	true	0.65	1.34
	1000	false	0.59	1.67
	2000	true	0.70	1.32
	2000	false	0.74	1.22
average	500	true	0.68	1.46	0.62	1.72	0.72	1.38
	500	false	0.63	1.52
	1000	true	0.67	1.40
	1000	false	0.68	1.42
	2000	true	0.69	1.38
	2000	false	0.71	1.31

^aBold font is used to stress the best correlation coefficient and RMSE for the selected data set.