Decision Tree Ensemble: Small Heterogeneous Is Better Than Large Homogeneous.
Michael GashlerChristophe G. Giraud-CarrierTony R. MartinezPublished in: ICMLA (2008)
Keyphrases
- decision trees
- random forest
- ensemble methods
- decision tree classifiers
- small number
- base classifiers
- neural network
- information gain
- predictive accuracy
- naive bayes
- machine learning
- benchmark datasets
- training data
- learning algorithm
- real world
- ensemble learning
- heterogeneous networks
- data mining
- data sets
- feature construction
- binary classification problems
- majority voting
- decision tree induction
- classifier ensemble
- artificial neural networks
- classification models
- logistic regression
- machine learning algorithms
- training set