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Decision Tree Learning
arXiv (Cornell University)
Learning to Validate Generative Models: a Goodness-of-Fit Approach
2025
Generative models are increasingly central to scientific workflows, yet their systematic use and interpretation require a proper understanding of their limitations through rigorous validation. Classic approaches struggle with scalability, statistical power, o…
Article
Open Decision Tree Learning Open Article Page

Decision Tree Learning

Machine learning algorithm

Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning. In this formalism, a classification or regression decision tree is used as a predictive model to draw conclusions about a set of observations.

Tree models where the target variable can take a discrete set of values are called classification trees ; in these tree structures, leaves represent class labels and branches represent conjunctions of features that lead to those class labels. Decision trees where the target variable can take continuous values (typically real numbers) are called regression trees.
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arXiv (Cornell University)
Learning to Validate Generative Models: a Goodness-of-Fit Approach
2025
Generative models are increasingly central to scientific workflows, yet their systematic use and interpretation require a proper understanding of their limitations through rigorous validation. Classic approaches struggle with scalability, statistical power, or interpretability when applied to high-dimensional data, making it difficult to certify the reliability of these models in realistic, high-dimensional scientific settings. Here, we propose the use of the New Physics Learning Machine (NPLM), a learning-based a…
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WTopic
Decision Tree Learning
arXiv (Cornell University)
Learning to Validate Generative Models: a Goodness-of-Fit Approach
2025
Generative models are increasingly central to scientific workflows, yet their systematic use and interpretation require a proper understanding of their limitations through rigorous validation. Classic approaches struggle with scalability, statistical power, o…
Article
Critical
Symbolic
Virtual
Narrative
Open Decision Tree Learning Open Article Page