Making Good Probability Estimates for Regression.
Michael CarneyPadraig CunninghamPublished in: ECML (2006)
Keyphrases
- probability estimates
- cost sensitive
- probability estimation
- regression model
- posterior probability
- naive bayes
- decision trees
- linear regression
- classification models
- empirical evidence
- gaussian processes
- model selection
- probability density function
- regression problems
- probability distribution
- roc curve
- multi class
- binary classifiers
- support vector