Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning.
Harmanpreet KaurHarsha NoriSamuel JenkinsRich CaruanaHanna M. WallachJennifer Wortman VaughanPublished in: DaSH@KDD (2021)
Keyphrases
- data collection
- machine learning
- data sets
- data analysis
- big data
- data quality
- data processing
- synthetic data
- artificial intelligence
- end users
- computational tools
- high quality
- learning algorithm
- computer systems
- prediction accuracy
- feature selection
- high energy physics
- xml documents
- visualization tools
- original data
- statistical analysis
- training data
- knowledge acquisition
- input data
- natural language processing