Intelligible and Explainable Machine Learning: Best Practices and Practical Challenges.
Rich CaruanaScott M. LundbergMarco Túlio RibeiroHarsha NoriSamuel JenkinsPublished in: KDD (2020)
Keyphrases
- machine learning
- real world
- pattern recognition
- inductive learning
- case study
- theoretical underpinnings
- lessons learned
- learning algorithm
- computer science
- technical challenges
- knowledge acquisition
- machine learning algorithms
- machine learning methods
- design patterns
- practical solutions
- data analysis
- knowledge discovery
- information extraction
- feature selection
- key issues
- learning problems
- computational biology
- supervised learning
- design principles
- computational intelligence
- software engineering
- active learning
- support vector
- data mining