Generalizing Machine Learning Evaluation through the Integration of Shannon Entropy and Rough Set Theory.
Olga CherednichenkoDmytro ChernyshovDmytro SytnikovPolina SytnikovaPublished in: CoRR (2024)
Keyphrases
- rough set theory
- rough sets
- machine learning
- shannon entropy
- decision table
- decision rules
- knowledge discovery
- tool for data mining
- attribute reduction
- data analysis
- information theory
- discernibility matrix
- equivalence relation
- attribute set
- computer vision
- knowledge reduction
- rule extraction
- data mining
- attribute reduction algorithm
- feature selection
- support vector machine
- artificial intelligence
- feature vectors
- feature space
- upper approximation
- expert systems
- information entropy
- image processing
- gaussian distribution
- information theoretic
- model selection
- text classification
- mutual information