Feature selection. As described in the previous section, we generated 37 features to predict peptide reactivity to human antibodies. We applied three different procedures for feature selection: no selection (subset A), selection based on collinear attribute elimination and on the M5 method and (subset B) and selection based on the LASSO method (subset C). The subset B and C contain 28 and 27 remaining attributes, respectively. The subsets B and C are partially different (see Table 2 ).