A comparative study of GP-based and state-of-the-art classifiers on a synthetic machine learning benchmark.
Patryk OrzechowskiPawel RencWilliam G. La CavaJason H. MooreArkadiusz SitekJaroslaw WasJoost WagenaarPublished in: GECCO Companion (2022)
Keyphrases
- machine learning
- machine learning algorithms
- genetic programming
- machine learning methods
- decision trees
- machine learning approaches
- supervised classification
- feature selection
- real world
- training data
- meta learning
- learning tasks
- support vector
- learning algorithm
- naive bayes
- learning classifier systems
- fitness function
- classification systems
- text classification
- test set
- inductive learning
- semi supervised learning
- training set
- learning machines
- comparative study
- data mining
- multiple classifier systems
- linear classifiers
- learning problems
- multiple classifiers
- classification method
- classification algorithm
- training examples
- training samples
- feature set
- supervised learning
- support vector machine
- pattern recognition
- reinforcement learning
- inductive logic programming
- classification rate
- high dimensional
- computer science
- artificial intelligence
- genetic algorithm
- data generator