Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models.
Lennart SchneiderBernd BischlJanek ThomasPublished in: CoRR (2023)
Keyphrases
- multi objective optimization
- machine learning models
- multi objective
- evolutionary algorithm
- spam filtering
- machine learning algorithms
- machine learning
- machine learning approaches
- learning algorithm
- genetic algorithm
- multi objective optimization problems
- supervised learning
- pareto optimal
- unsupervised learning
- differential evolution
- nsga ii
- multi objective genetic algorithm
- multi objective genetic algorithms
- bi objective
- multiple objectives
- predictive model
- prediction accuracy
- learning models
- semi supervised
- pareto frontier
- multi objective evolutionary algorithms
- feature selection
- learning problems
- optimization algorithm
- multiobjective optimization
- particle swarm optimization
- fuzzy logic
- artificial neural networks
- pairwise
- data mining
- neural network