Table 1.

Performance of regression models trained on the range of protein sequence descriptors using loco cross validation

Feature Descriptors	Regression Models
	OLSR			RFR			SVR
	Pr	P-value	RMSE	Pr	P-value	RMSE	Pr	P-value	RMSE
AAC	0.20	1.5 × 10− 2	3.19	0.40	6.4 × 10− 7	2.66	0.40	1.0 × 10−6	2.69
Blosum	0.20	1.4 × 10−2	3.10	0.37	2.8 × 10−7	2.71	0.39	1.5 × 10−5	2.67
propy	0.14	1.3 × 10−1	3.67	0.39	3.0 × 10−3	2.64	0.41	1.1 × 10−6	2.60
PSSM	0.19	7.2 × 10−1	3.68	0.38	1.1 × 10−5	2.67	0.37	1.5 × 10−5	2.66
ProtParam	0.25	3.0 × 10−3	2.82	0.34	4.7 × 10−5	2.72	0.37	9.4 × 10−6	2.64
SW kernel	results not applicable						0.37	2.1 × 10−6	2.63
LA kernel							0.44	1.2 × 10−8	2.56
MM kernel							0.38	7.1 × 10−6	2.66