Stop Ordering Machine Learning Algorithms by Their Explainability! An Empirical Investigation of the Tradeoff Between Performance and Explainability.
Jonas WannerLukas-Valentin HermKai HeinrichChristian JanieschPublished in: I3E (2021)
Keyphrases
- machine learning algorithms
- benchmark data sets
- machine learning
- learning algorithm
- machine learning methods
- decision trees
- predictive accuracy
- learning problems
- learning tasks
- random forests
- meta learning
- input features
- machine learning approaches
- machine learning systems
- standard machine learning algorithms
- machine learning models
- supervised learning algorithms
- learning models
- support vector
- text classification
- statistical machine learning
- feature space