Trying to Outrun Causality with Machine Learning: Limitations of Model Explainability Techniques for Identifying Predictive Variables.
Matthew J. VowelsPublished in: CoRR (2022)
Keyphrases
- probabilistic model
- machine learning
- high level
- computational model
- theoretical analysis
- cost function
- pattern recognition
- formal model
- objective function
- probability distribution
- experimental data
- statistical model
- causal relationships
- mathematical model
- structural model
- sensitivity analysis
- data mining
- em algorithm
- management system
- knowledge representation
- computer science
- decision trees
- feature selection