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Decision Tree #entropy #criterion #kappa #accuracy
Could anyone explain how to define and detect entropy in DT? ( what are the blue and the red label stands for under the leaf?
Is the 70% accuracy and kappa 0.30ish enough for prediction?
What criterion should I choose for DT '' gain_raio '' or '' information_gain '' to maximise my accuracy and kappa?