When attribute selection was performed in WEKA, the following 26 features were selected by WEKA for training the model: CLIP1, DSCAM, MAPK10, ERCC2, E2F3, MAP3K9, TBC1D16, ASB5, number of hydrogen bonds, hepatitis B pathway, Chagas disease pathway, mean mass, AACA motif, AAUC motif, ACUA motif, AGAG motif, AGUU motif, CAGU motif, CGGU motif, GAUG motif, GCAA motif, GUGU motif, GUUA motif, UCGU motif, UCUU motif, and UGGC motif. This evidence concerns the gene ERCC2 and Chagas disease.