Litcius/Paper detail

Approximating XGBoost with an interpretable decision tree

Omer Sagi, Lior Rokach

2021Information Sciences523 citationsDOI

Topics & Concepts

InterpretabilityComputer scienceDecision treeMachine learningExploitAlternating decision treeArtificial intelligenceBoosting (machine learning)Transparency (behavior)Predictive modellingSet (abstract data type)Decision tree learningIncremental decision treeProgramming languageComputer securityExplainable Artificial Intelligence (XAI)Imbalanced Data Classification TechniquesMachine Learning and Data Classification
Approximating XGBoost with an interpretable decision tree | Litcius