Using theoretical ROC curves for analysing machine learning binary classifiers.
Luma OmarIoannis P. IvrissimtzisPublished in: Pattern Recognit. Lett. (2019)
Keyphrases
- roc curve
- binary classifiers
- machine learning
- misclassification costs
- receiver operating characteristic
- multi class
- binary classification
- learning problems
- multi class classification
- hyperplane
- support vector machine
- probability estimation
- cost sensitive
- cross validation
- machine learning algorithms
- machine learning methods
- feature selection
- pattern recognition
- inductive learning
- learning tasks
- training samples
- evaluation measures
- support vector
- decision trees
- data mining
- transfer learning
- text mining
- information extraction
- learning algorithm
- supervised learning
- multi label
- reinforcement learning
- model selection