On Selecting Features for Binary Classification in Microarray Data Analyses.
Santi Wulan PurnamiShofi AndariAfifah W. RusydianaPublished in: ICMLC (2017)
Keyphrases
- microarray data
- binary classification
- multi class
- microarray
- feature selection
- learning problems
- support vector
- gene expression
- cost sensitive
- support vector machine
- gene selection
- multi label
- gene expression data
- data sets
- generalization error
- prediction accuracy
- binary classifiers
- high dimensional
- ensemble methods
- multi label classification
- feature subset
- cluster analysis
- learning algorithm
- classification accuracy
- pattern recognition
- machine learning algorithms
- text categorization
- knn