03 November 2014 3 5K Report

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)?

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