Effects of imputation strategy on genetic algorithms and neural networks on a binary classification problem.
Esteban Segarra MartinezStephen V. MaldonadoAnnie S. WuRyan P. McMahanXinliang LiuBlake OakleyPublished in: GECCO (2022)
Keyphrases
- neural network
- genetic algorithm
- binary classification problems
- artificial neural networks
- multi class classifiers
- multi class
- class imbalance
- binary classification
- simulated annealing
- multi task
- majority voting
- evolutionary algorithm
- supervised learning
- fitness function
- missing values
- training process
- support vector
- decision trees