When are Deep Networks really better than Random Forests at small sample sizes?
Haoyin XuMichael AinsworthYu-Chung PengMadi KusmanovSambit PandaJoshua T. VogelsteinPublished in: CoRR (2021)
Keyphrases
- random forests
- sample size
- small sample
- random forest
- random sample
- machine learning algorithms
- logistic regression
- ensemble methods
- decision trees
- model selection
- random sampling
- decision tree ensembles
- regression trees
- tree ensembles
- worst case
- confidence intervals
- randomized trees
- upper bound
- variance reduction
- statistical power
- learning algorithm
- regression forests
- statistical tests
- data mining
- machine learning