Table 2.

Using the Estimation of a Variety of Structural Aspects of Protein Amino Acids as Input Attributes to Help Estimate Better the Contact Number Structural Aspect²

Data representation	Accuracy
CN	77.2±0.8
CN+RD	77.4±0.8
CN+RCHr	77.6±0.7
CN+Exp	77.7±0.8
CN+Exp+RCHr	77.7±0.7
CN+RCH	78.5±0.9
CN+RCH+RCHr	78.8±0.7
CN+Exp+RCH	78.9±0.8
CN+SA	78.9±0.8
CN+Exp+RCH+RCHr	78.9±0.7
CN+Exp+SA	79.1±0.8
CN+Exp+SA+RCHr	79.1±0.8
CN+SA+RCHr	79.1±0.8
CN+SA+RCH	79.7±0.8
CN+Exp+SA+RCH	79.8±0.8
CN+SA+RCH+RCHr	79.8±0.8
CN+Exp+SA+RCH+RCHr	79.8±0.7

The BioHEL rule-based machine learning method was used for all experiments in this table.²¹ CN, contact number; Exp, exposure; RCH, recursive convex hull; RCHr, reverse recursive convex hull; RD, residue depth; SA, solvent accessibility. Reproduced from Stout et al.² by permission of Oxford University Press.