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I have also noticed that it is useful to work for some time in one
metric (minimize squared error) then stop the search, change the
criteria (minimize r^2) and continue the search. What this seems to
do is give a good diversity of error minimizing models as seeds for
fit maximizing models.
Has anyone else explored switching the criteria to get substantial
On Apr 24, 3:15 am, "engr.student" <engr.stud...@gmail.com> wrote:
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