The results of the numerical solution of the (α,β)-k-Feature Set problem on each of the six individual datasets.

Dataset is the short name used in this paper for the dataset. Feat. No is the initial number of features (probes) present in the dataset, After EF is the number of features after applying entropy filtering, α and β are the values for the parameters α and β for any feasible solution, and k (signature size) is the number of probes in the resulting solution to the individual (α,β)-k-Feature Selection problem for the dataset. For method details refer to Materials and Methods.The results of the numerical solution of the (α,β)-k-Feature Set problem on each of the six individual datasets.