Evaluation of ANN Classifiers During Supervised Training with ROC Analysis and Cross Validation.
Miguel Antonio SovierzoskiFernanda Isabel Marques ArgoudFernando Mendes de AzevedoPublished in: BMEI (1) (2008)
Keyphrases
- roc analysis
- cross validation
- supervised training
- model selection
- support vector
- artificial neural networks
- training set
- receiver operating characteristic
- class distribution
- neural nets
- hyperparameters
- generalization error
- roc curve
- neural network
- binary classifiers
- small number
- training examples
- misclassification costs
- probabilistic model
- feature selection
- high dimensional