Multiclass AUC for Comparison of Identification Effectiveness Across Classification Set Sizes.
Mark Roman MillerPublished in: WoWMoM (2025)
Keyphrases
- multi class
- multiple classes
- binary and multi class
- multiclass classification
- support vector machine
- multi class classification
- binary classifiers
- multiclass support vector machines
- feature selection
- decision trees
- cost sensitive
- cost sensitive classification
- binary classification
- binary classification problems
- multiclass problems
- multi class boosting
- classification accuracy
- feature vectors
- binary classification tasks
- pairwise
- class probabilities
- error rate
- multi class classifier
- error correcting output codes
- training set
- feature extraction
- learning algorithm
- model selection
- feature set
- machine learning
- cost sensitive learning
- probability estimates
- multi label classification
- machine learning methods
- classification algorithm
- multiclass learning
- support vector
- kernel fisher