Abstract: Decision tree is a machine learning algorithm that can effectively predict student performance. However, the existing performance prediction models rarely analyze the impact of multiple ...
Abstract: Objectives: This paper proposes a novel stability metric for decision trees that does not rely on the elusive notion of tree similarity. Existing stability metrics have been constructed in a ...