DataModeler Release 8.16 (1 March 2013)

The highlights of this release are the new DataCompletenessMap and DataCompletenessPlot. These are useful to get the zen of data sets which feature incomplete data. Related to this, we have introduced a new SymbolicRegression option, NumericPredictionRequirement, since the default of evaluating model quality only on complete records in the data meant that models could, in extreme circumstances, be assessed on far fewer data records than expected even though each of the constituent variables passed the NumericColumnThreshold.


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