Quantifying Uncertainty in Random Forests via Confidence Intervals and Hypothesis Tests.
Lucas MentchGiles HookerPublished in: J. Mach. Learn. Res. (2016)
Keyphrases
- confidence intervals
- random forests
- hypothesis tests
- sample size
- hypothesis testing
- random forest
- decision trees
- model selection
- ensemble methods
- machine learning algorithms
- likelihood ratio
- logistic regression
- hypothesis test
- markov chain
- decision tree ensembles
- conditional probabilities
- training data
- test set
- worst case
- monte carlo
- base classifiers
- machine learning
- pairwise
- search space
- upper bound
- prediction accuracy