I have a data and on which I have trained decision tree. Now, these tree models give use the “feature importance” to see which features are giving the highest impact for deciding the target.
What I want is
I want to “store” those importances in the PMML? The feature importance can be stored inside MiningSchema. Will you please show me the way by which I can do that from KNIME?
our XGBoost and H2O plugins have feature importance measures. For linear models (Linear Regression, Logistic Regression, GLM), the model itself can be interpreted as a feature importance.
However, the decision tree learner does not offer a feature importance.