KL Divergence in Decision Trees. Machine Learning Concept : 49
KL Divergence in Decision Trees: KL divergence, also known as Kullback-Leibler divergence, is a measure of how different two probability distributions are from each other. In the context of decision trees, KL divergence is often used as a criterion for selecting the best attribute to split on at a particular node. The basic idea is…
KL Divergence in Decision Trees. Machine Learning Concept : 49 KL Divergence in Decision Trees: KL divergence, also known as Kullback-Leibler divergence, is a measure of how different two probability distributions are from each other. In the context of decision trees, KL divergence is often used as a criterion for selecting the best attribute to split on at a particular node. The basic idea is… deep-learning
KL Divergence Decision Trees Machine Learning Concept 49 KL Divergence Decision Trees KL divergence also known KullbackLeibler divergence measure different two probability distribution context decision tree KL divergence often used criterion selecting best attribute split particular node basic idea is… deeplearning