Improving the performance of machine learning classifiers for Breast Cancer diagnosis based on feature selection.
Noel PérezMiguel A. GuevaraAugusto SilvaIsabel RamosJoana LoureiroPublished in: FedCSIS (2014)
Keyphrases
- feature selection
- breast cancer diagnosis
- machine learning
- breast cancer
- feature selection algorithms
- machine learning methods
- machine learning algorithms
- feature set
- support vector
- text classification
- feature ranking
- naive bayes
- text categorization
- decision trees
- classification models
- support vector machine
- classification accuracy
- model selection
- cancer diagnosis
- selected features
- feature subset
- dimensionality reduction
- information gain
- multi class
- logistic regression
- feature space
- high dimensionality
- learning algorithm
- training set
- feature extraction
- training data
- gene expression data
- ensemble learning
- preprocessing step
- learning tasks
- ensemble classifier
- fold cross validation
- data preprocessing
- unsupervised learning
- pattern recognition