I have a question is it possible to extract feature importance in Knime using decision tree learner and predictor?
Using sklearn I usual use the following code for it:
from sklearn.tree import DecisionTreeClassifier
dt = DecisionTreeClassifier()
For sure I could use the python node, but I try to transfer my normal tasks to KNIME without using python.
Does somebody have an idea?
see these two topics:
Maybe the Information Gain Calculator helps you to give some insights about the feature importance.
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