A Coherent Interpretation of AUC as a Measure of Aggregated Classification Performance.
Peter A. FlachJosé Hernández-OralloCèsar Ferri RamirezPublished in: ICML (2011)
Keyphrases
- classification accuracy
- decision trees
- misclassification rate
- feature selection
- roc curve
- model selection
- support vector
- preprocessing
- pattern classification
- pattern recognition
- machine learning
- text classification
- classification process
- classification systems
- classification method
- classification models
- classification scheme
- distance measure
- similarity measure
- feature extraction
- support vector machine svm
- naive bayes
- supervised learning
- support vector machine
- cross validation
- feature vectors
- classification algorithm
- training set
- bayesian networks
- automatic classification
- leave one out cross validation
- machine learning algorithms
- imbalanced data sets
- confusion matrix
- receiver operating characteristic curves
- binary and multi class
- accurate classification
- image interpretation
- decision rules
- class labels
- image classification
- learning algorithm