Pacc - A Discriminative and Accuracy Correlated Measure for Assessment of Classification Results.
Madhav SigdelRamazan Savas AygünPublished in: MLDM (2013)
Keyphrases
- classification accuracy
- feature selection
- confusion matrix
- high accuracy
- accuracy rate
- discriminative learning
- pattern recognition
- discriminative features
- classification rate
- feature extraction
- generalization ability
- predictive accuracy
- classification algorithm
- correlation coefficient
- discriminative classifiers
- support vector machine svm
- class discrimination
- classification scheme
- highly correlated
- unsupervised learning
- similarity measure
- image classification
- prediction accuracy
- machine learning
- correct classification
- decision trees
- feature space
- training set
- active learning
- computational cost
- semi supervised
- pattern classification
- classification method
- probabilistic model
- roc curve
- supervised learning
- high dimensionality
- bayesian network classifiers
- benchmark datasets
- visual classification
- training samples
- discriminative ability
- category labels
- neural network