[pymvpa] TreeClassifier and decision trees

[Yaroslav Halchenko]

On Tue, 15 Feb 2011, Thorsten Kranz wrote:
> 2) When I do so, with same number of samples for every label,  the
> predictions are always one of (2,4), as there seems to be a bias. For
> decision one, there are always more samples in "g6" than in "g3", for
> decision 3, "g5" always outnumbers "g1". The training sets are not
> balanced this way.

could you please dump on us output of the corresponding

print dataset.summary()
?

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