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