A Characterization of Mean Squared Error for Estimator with Bagging.
Martin MihelichCharles DogninYan ShuMichael BlotPublished in: CoRR (2019)
Keyphrases
- variance reduction
- ensemble methods
- decision trees
- least squares
- random forests
- imbalanced data
- neural network ensembles
- meta learning
- ensemble learning
- random forest
- monte carlo
- training set
- gradient boosting
- importance sampling
- machine learning
- ensemble classification
- error estimation
- maximum likelihood
- base classifiers
- sample size
- estimation error
- machine learning methods
- ensemble classifier
- majority voting
- estimation algorithm
- generalization error
- ensemble selection
- randomized trees
- correlation coefficient