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DOC: Poisson criterion is not slower than MSE in decision trees #32203

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DOC: Poisson criterion is not slower than MSE in decision trees #32203

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6 changes: 3 additions & 3 deletions doc/modules/tree.rst
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Expand Up @@ -560,9 +560,9 @@ Mean Poisson deviance:

Setting `criterion="poisson"` might be a good choice if your target is a count
or a frequency (count per some unit). In any case, :math:`y >= 0` is a
necessary condition to use this criterion. Note that it fits much slower than
the MSE criterion. For performance reasons the actual implementation minimizes
the half mean poisson deviance, i.e. the mean poisson deviance divided by 2.
necessary condition to use this criterion. For performance reasons the actual
implementation minimizes the half mean poisson deviance, i.e. the mean poisson
deviance divided by 2.

Mean Absolute Error:

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