How to Evaluate Uncertainty Estimates in Machine Learning for Regression?
Laurens SluijtermanEric CatorTom HeskesPublished in: CoRR (2021)
Keyphrases
- machine learning
- classification and regression problems
- model selection
- handling uncertainty
- regression model
- learning algorithm
- machine learning methods
- confidence intervals
- machine learning algorithms
- pattern recognition
- uncertain data
- data mining
- measurement error
- explanation based learning
- artificial intelligence
- decision trees
- information extraction
- machine learning approaches
- regression analysis
- text classification
- feature selection
- ridge regression
- regression algorithm
- survival analysis
- support vector
- support vector regression
- data analysis
- knowledge representation
- supervised learning
- knowledge acquisition
- gaussian processes
- linear regression
- reinforcement learning
- canonical correlation analysis
- natural language processing
- genetic programming
- polynomial regression
- text mining