Theoretical Analysis of Different Classifiers under Reduction Rough Data Set: A Brief Proposal.
Shamim Hasnat RiponMd Sarwar KamalSaddam HossainNilanjan DeyPublished in: Int. J. Rough Sets Data Anal. (2016)
Keyphrases
- theoretical analysis
- data sets
- training data
- training set
- numerical simulations
- decision trees
- imbalanced data sets
- benchmark data sets
- feature selection
- rough sets
- test set
- machine learning algorithms
- classification trees
- svm classifier
- training samples
- multiple classifiers
- test data
- real world
- feature selection algorithms
- support vector
- train a support vector machine
- classifier combination
- reduction method
- unseen data
- feature reduction
- original data
- class labels
- naive bayes
- feature set
- support vector machine
- publicly available data sets
- rare classes
- unseen test data
- attribute reduction
- ensemble classifier
- linear classifiers
- supervised classification
- classification algorithm
- neural network