Model Selection of Symbolic Regression to Improve the Accuracy of PM2.5 Concentration Prediction.
Guangfei YangJian HuangPublished in: PAKDD Workshops (2015)
Keyphrases
- model selection
- prediction accuracy
- cross validation
- leave one out cross validation
- symbolic regression
- parameter estimation
- hyperparameters
- regression model
- genetic programming
- sample size
- model selection criteria
- selection criterion
- marginal likelihood
- generalization error
- parameter optimization
- machine learning
- open source
- classification accuracy
- information criterion
- feature selection