Improving the accuracy of suicide attempter classification.
David Delgado-GómezHilario Blasco-FontecillaAnaLucia A. AlegriaTeresa Legido-GilAntonio Artés-RodríguezEnrique Baca-GarcíaPublished in: Artif. Intell. Medicine (2011)
Keyphrases
- classification accuracy
- accuracy rate
- correct classification
- predictive accuracy
- pattern recognition
- roc curve
- feature selection
- classification systems
- decision trees
- classification models
- fold cross validation
- classification process
- computational cost
- preprocessing
- feature extraction
- training set
- image classification
- generalization ability
- machine learning algorithms
- cross validation
- machine learning methods
- support vector machine svm
- pattern classification
- automatic classification
- classification algorithm
- decision rules
- prediction accuracy
- training samples
- associative classifiers
- text classification
- high classification accuracy
- high accuracy
- support vector machine
- higher classification accuracy
- unseen data
- combination of multiple classifiers
- neural network
- highly accurate
- classification method
- class labels
- unsupervised learning
- rough sets
- machine learning
- data mining