Selective Classifiers Can Be Too Restrictive: A Case-Study in Oesophageal Cancer.
Rosa BlancoLinda C. van der GaagIñaki InzaPedro LarrañagaPublished in: ISBMDA (2004)
Keyphrases
- case study
- training data
- cancer datasets
- test set
- decision trees
- breast cancer
- linear classifiers
- feature selection
- early detection
- svm classifier
- multiple classifiers
- machine learning algorithms
- support vector
- training set
- naive bayes
- training samples
- classification method
- supervised classification
- feature space
- classification rate
- test bed
- high dimensional
- neural network
- class labels
- support vector machine
- classification algorithm
- learning classifier systems
- decision boundary
- prostate cancer
- binary classifiers
- text classification
- cancer diagnosis
- trained classifiers
- machine learning