Training set. The training set contained 13638 peptides and was created by selecting 3420 peptides from the positive set and 10218 peptides from the negative set. Two features of each peptide were provided: the amino acid sequence and a measure of the peptide reactivity to the IVIg antibodies. The predictive model of the peptide reactivity was trained on this dataset.