It is possible to post-process decision tree prediction rules to remove unnecessary duplication of predictor variables, but the demo program, and most machine learning library implementations, do not ...

Specialization: Intro to Statistical Learning Instructor: Osita Onyejeweke, Assistant ProfessorPrior knowledge needed: Intro Statistics and Foundational MathLearning Outcomes Understand the advantages ...

Recent scientific article explores the use of machine learning techniques to identify the key risk factors associated with ...

This case study evaluates modelling relationships between the combination of decision variables and uncertain factors. There are 6 uncertain factors that influence water quality varying within a ...

Our news correspondents obtained a quote from the research from University of Minnesota: “To better predict the demand for health insurance, three regression models in machine learning - random ...

Compared to other regression techniques, decision tree regression is easy to tune, works well with small datasets and produces highly interpretable predictions. However, decision tree regression is ...