Optimizing Prediction Intervals by Tuning Random Forest via Meta-Validation.
Sean BayleyDavide FalessiPublished in: CoRR (2018)
Keyphrases
- random forest
- prediction intervals
- regression model
- confidence level
- decision trees
- travel time
- linear regression model
- fold cross validation
- feature set
- decision tree learning algorithms
- ensemble methods
- prediction error
- multi label
- confidence intervals
- regression methods
- ensemble classifier
- base classifiers
- semi supervised learning
- markov random field
- data mining
- neural network