Learning multiple defaults for machine learning algorithms.
Florian PfistererJan N. van RijnPhilipp ProbstAndreas C. MüllerBernd BischlPublished in: GECCO Companion (2021)
Keyphrases
- machine learning algorithms
- learning algorithm
- learning problems
- learning tasks
- benchmark data sets
- machine learning
- machine learning methods
- learning models
- meta learning
- machine learning systems
- predictive accuracy
- reinforcement learning
- learning systems
- kernel methods
- learning process
- machine learning approaches
- data sets
- statistical machine learning
- machine learning models
- supervised learning algorithms
- random forests
- decision trees
- training data
- unsupervised learning