Apprentissage par arbre de décision
en construction
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Decision tree learning
uses a decision tree (as a predictive model) to go from observations about an item (represented in the branches) to conclusions about the item's target value (represented in the leaves). It is one of the predictive modeling approaches used in statistics, data mining and machine learning.
Contributeurs: Imane Meziani, wiki, Sihem Kouache
