Analyze "Gradient Boosted Tree Model"

Hi there,

I have trained a “gradient boosted tree model” to my dataset, which works surprisingly really good. Now I would like to analyse the model to find out, which data input (my model uses 24 input columns, one target column) has the biggest influence on the result.
Is there a node to do such a sensitivity analysis available? How do you check your models?


Hello @ActionAndi -

The standard Gradient Boosted Trees Learner node currently doesn’t provide a measure of variable importance. The H2O Gradient Boosting Machine Learner, however, does!

Check out this workflow:*WCX2JuDOsLXg7w3T


Hi Scott,

Wow, that is exactly the node I was looking for!



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