Cost-sensitive learning classification strategy for predicting product failures.
Flavia D. FrumosuAbdul Rauf KhanHenrik SchiølerMurat KulahciMohamed ZakiPeter Westermann-RasmussenPublished in: Expert Syst. Appl. (2020)
Keyphrases
- cost sensitive learning
- cost sensitive
- cost sensitive classification
- class imbalance
- rule extraction
- missing values
- probability estimation
- misclassification costs
- decision trees
- classification accuracy
- multi class
- machine learning
- active learning
- support vector machine
- class distribution
- support vector
- neural network
- low dimensional
- text classification
- model selection
- machine learning algorithms
- missing data
- image classification
- classification rules
- multi class classification
- feature vectors
- feature space
- feature extraction