Minimizing False-Rejection Rates in Gas Leak Testing Using an Ensemble Multiclass Classifier for Unbalanced Data.
Diogo CostaEugénio M. RochaPedro RamalhoPublished in: ARTIIS (1) (2022)
Keyphrases
- multi class
- unbalanced data
- support vector machine
- false acceptance
- training data
- binary classification problems
- binary classifiers
- base classifiers
- multiclass classification
- misclassification costs
- feature selection
- ensemble learning
- ensemble classifier
- training set
- error correcting output codes
- multiclass problems
- cost sensitive
- svm classifier
- binary classification
- test data
- class distribution
- multi class classification
- test set
- cost sensitive learning
- training examples
- pairwise
- learning algorithm
- class labels
- training samples
- k nearest neighbor
- knn
- ensemble methods
- support vector
- decision trees
- neural network
- machine learning
- classification error
- generalization ability
- feature space
- support vectors
- random forests
- hyperplane
- classification algorithm
- test cases
- support vector machine svm
- text categorization
- supervised learning
- feature extraction