Table 7:

Average Pearson correlation coefficients C_α B-factor predictions for small-, medium-, and large-sized protein sets along with the entire superset of the 364 protein dataset. Gradient boosted tree (GBT), convolutional neural network, and consensus (CON) results are obtained by leave-one-protein-out (blind). The results of parameter-free flexibility-rigidity index (pf-FRI), Gaussian network model (GNM) and normal mode analysis (NMA) were obtained via the least squares fitting of individual proteins.

	CNN	GBT	CON	pFRI	GNM	NMA
Small	0.63	0.58	0.62	0.59	0.54	0.48
Medium	0.60	0.58	0.61	0.61	0.55	0.48
Large	0.58	0.59	0.58	0.59	0.53	0.49
Superset	0.60	0.59	0.61	0.63	0.57	NA