Interpretability and causal discovery of the machine learning models to predict the production of CBM wells after hydraulic fracturing.
Chao MinGuoquan WenLiangjie GouXiaogang LiZhaozhong YangPublished in: CoRR (2022)
Keyphrases
- machine learning models
- causal discovery
- causal models
- machine learning algorithms
- causal relationships
- spam filtering
- machine learning approaches
- bayesian networks
- causal structure
- discovery process
- oil field
- directed acyclic graph
- machine learning
- predictive model
- observational data
- conditional independence
- learning models
- prediction accuracy
- real world
- sensitivity analysis
- machine learning methods
- decision making
- data sets