Finding Good Attribute Subsets for Improved Decision Trees Using a Genetic Algorithm Wrapper; a Supervised Learning Application in the Food Business Sector for Wine Type Classification.
Dimitris C. GkikasProkopis K. TheodoridisTheodoros TheodoridisMarios C. GkikasPublished in: Informatics (2023)
Keyphrases
- decision trees
- supervised learning
- genetic algorithm
- machine learning
- feature selection
- training set
- predictive accuracy
- feature construction
- constructive induction
- unsupervised learning
- training data
- supervised classification
- classification accuracy
- machine learning algorithms
- naive bayes
- class labels
- feature extraction
- decision making
- decision tree induction
- ensemble methods
- decision tree learning
- feature space
- learning algorithm
- decision rules
- genetic algorithm ga
- classification algorithm
- classification rules
- attribute values
- business intelligence
- classification models
- feature vectors
- nearest neighbour
- reinforcement learning
- decision tree algorithm
- data mining