A balanced accuracy fitness function leads to robust analysis using grammatical evolution neural networks in the case of class imbalance.
Nicholas E. HardisonTheresa J. FanelliScott M. DudekDavid M. ReifMarylyn D. RitchieAlison A. Motsinger-ReifPublished in: GECCO (2008)
Keyphrases
- fitness function
- genetic programming
- neural network
- class imbalance
- genetic algorithm
- grammatical evolution
- evolutionary algorithm
- genetic algorithm ga
- evolutionary computation
- evolutionary search
- classification accuracy
- cost sensitive
- data analysis
- highly skewed
- fuzzy logic
- artificial neural networks
- parameter settings
- crossover operator
- genetic operators
- data sets