Imbalanced classification of manufacturing quality conditions using cost-sensitive decision tree ensembles.
Aekyung KimKyuhyup OhJae-Yoon JungBohyun KimPublished in: Int. J. Comput. Integr. Manuf. (2018)
Keyphrases
- cost sensitive
- class imbalance
- cost sensitive classification
- cost sensitive learning
- class distribution
- multi class
- misclassification costs
- binary classification
- support vector machine
- active learning
- support vector
- classification accuracy
- machine learning methods
- random forests
- classification models
- machine learning
- naive bayes
- text classification
- boosting algorithms
- minority class
- missing values
- base classifiers
- ensemble methods
- image classification
- supervised learning
- knn
- decision trees