Bagging Classification Models with Reduced Bootstrap.
Rafael Pino-MejíasMaría-Dolores Cubiles-de-la-VegaManuel López-CoelloEsther-Lydia Silva-RamírezMaría-Dolores Jiménez-GameroPublished in: SSPR/SPR (2004)
Keyphrases
- classification models
- decision trees
- imbalanced data
- ensemble classifier
- bootstrap sampling
- training data
- ensemble methods
- models built
- feature selection
- software quality classification
- base learners
- attribute selection
- feature set
- random forest
- machine learning
- naive bayes
- ensemble learning
- training set
- decision tree induction
- learning algorithm
- machine learning algorithms
- cross validation
- base classifiers
- image processing
- data sets