Evaluating the classifier behavior with noisy data considering performance and robustness: The Equalized Loss of Accuracy measure.
José A. SáezJulián LuengoFrancisco HerreraPublished in: Neurocomputing (2016)
Keyphrases
- noisy data
- confusion matrix
- training data
- noise tolerant
- classification rate
- input data
- naive bayes classifier
- learning from noisy data
- support vector
- missing data
- classification accuracy
- feature space
- fold cross validation
- individual classifiers
- class noise
- support vector machine
- noise free
- database
- high dimensional
- high dimensionality
- decision trees
- computer vision
- training set
- training samples
- receiver operating characteristic curves
- feature selection
- data sets