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Decision Tree Learner - purity/homogeneity/significance measures

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Hi,

The Decision Tree Learner offers the possibiliy to yes or no use a pruning option. I would also like te be able to use specific stopping rules based on purity/homogeneity or significance measures. That would allow me to fine tune the model better. In some analyses so far I have observed either too small (pruned) trees or too large (unpruned) trees (as compared  to acceptable trees made with R or SPSS).

Thanks, Kees


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