Many M/C learning algorithms perform discretization of continuous data before performing a feature selection operation. WEKA uses discretization by default.
Does anyone know which method it uses? Is it Entropy Minimization Discretization (EMD), Proportional k-Interval Discretization (PKID), Equal Width Discretization (EWD) or Equal Frequency Discretization (EFD)?