Difference between TMVA AdaBoost and AdaBoostClassifier

[k-orestis]

Hello scikit-learn community,
Is there any particular difference between the implementation of Adaptive Boosting of TMVA and that of scikit-learn?
I am applying the same algorithm with the same parameters to the same dataset and I get very different results.
The parameters I am using are:
NTrees=1200 MinNodeSize=1.0 BoostType=AdaBoost AdaBoostBeta=0.02 SeparationType=GiniIndex nCuts=14 MaxDepth=6
Here we see the score histograms for the two classes. You can ignore the green line.
TMVA AdaBoost

Scikit-learn AdaBoostClassifier