A two dimensional accuracy-based measure for classification performance.
Mariano Carbonero-RuzFrancisco J. Martínez-EstudilloFrancisco Fernández-NavarroDavid Becerra-AlonsoAlfonso C. Martínez-EstudilloPublished in: Inf. Sci. (2017)
Keyphrases
- classification accuracy
- confusion matrix
- automatic classification
- accuracy rate
- predictive accuracy
- classification rate
- high accuracy
- classification systems
- support vector
- correct classification
- feature space
- similarity measure
- three dimensional
- generalization ability
- feature selection
- pattern recognition
- correlation coefficient
- classification method
- prediction accuracy
- error rate
- support vector machine svm
- classification scheme
- model selection
- decision trees
- image classification
- multi dimensional
- feature extraction
- roc curve
- fold cross validation
- neural network
- classification rules
- classification algorithm
- benchmark datasets
- data sets
- text classification
- preprocessing
- computational cost
- training set
- false positive and false negative
- precision and recall
- classification performances
- feature reduction
- roc analysis
- knn
- unsupervised learning
- class imbalance
- training samples