Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation.
André M. CarringtonDouglas G. ManuelPaul W. FieguthTim RamsayVenet OsmaniBernhard WernlyCarol BennettSteven HawkenMatthew McInnesOlivia MagwoodYusuf SheikhAndreas HolzingerPublished in: CoRR (2021)
Keyphrases
- model selection
- cross validation
- roc analysis
- receiver operating characteristic
- hyperparameters
- sample size
- machine learning
- leave one out cross validation
- class distribution
- selection criterion
- model selection criteria
- mixture model
- generalization error
- variable selection
- roc curve
- feature selection
- breast cancer
- multi class
- pairwise