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7 years ago
10 Practical Actions that Could Improve Your Model

   (adapted from Chapter 13 of the Handbook of Statistical Analysis and Data Mining Applications) After a first pass of training and evaluating a model, you may find you need to improve its results.  Here is a checklist of ten practical actions that I’ve found usually help: Transform real-valued inputs to be approximately Normal in distribution.  Regression, for instance, behaves better if the inputs are Gaussian; extremes have too much influence on squared-error.  For variables that are typically log-normally distributed, like income, this involves transforming the variable via a logarithm or the more general Box-Cox function. Remove outliers. 

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