Data vs. Model Machine Learning Fairness Testing: An Empirical Study.
Arumoy ShomeLuis CruzArie van DeursenPublished in: CoRR (2024)
Keyphrases
- machine learning
- test data
- experimental data
- data sets
- learning models
- data analysis
- statistical methods
- statistical model
- expert knowledge
- prior knowledge
- training data
- predictive model
- empirical data
- synthetic data
- computational model
- missing data
- database
- data collection
- input data
- measured data
- knowledge discovery
- network structure
- probabilistic model
- raw data
- text mining
- supervised learning
- data processing
- mathematical model
- simulation data
- statistical analysis
- high quality
- objective function
- data mining techniques
- data points
- probability distribution
- hidden markov models
- active learning
- similarity measure
- parameter estimation
- reinforcement learning
- bayesian methods
- data streams
- prior information
- image data
- resource allocation
- computer systems
- sensor data
- em algorithm
- labeled data