Can bin-wise scaling improve consistency and adaptivity of prediction uncertainty for machine learning regression ?
Pascal PernotPublished in: CoRR (2023)
Keyphrases
- machine learning
- improve the prediction accuracy
- prediction accuracy
- predictive clustering trees
- model selection
- knowledge acquisition
- regression model
- transfer learning
- information extraction
- uncertain data
- data mining
- conformal prediction
- feature selection
- protein secondary structure prediction
- target variable
- linear regression model
- radial basis function network
- prediction error
- prediction model
- linear regression
- machine learning methods
- decision trees
- natural language processing