Explainable Boosting Machines with Sparsity - Maintaining Explainability in High-Dimensional Settings.
Brandon M. GreenwellAnnika DahlmannSaurabh DhoblePublished in: CoRR (2023)
Keyphrases
- high dimensional
- low dimensional
- similarity search
- dimensionality reduction
- high dimensionality
- high dimensional data
- learning algorithm
- feature space
- sparse data
- nearest neighbor
- data points
- high dimensional problems
- parameter space
- feature selection
- variable selection
- machine learning
- metric space
- multi class
- input space
- ensemble methods
- ensemble learning
- high dimensional spaces