The Prevalence of Errors in Machine Learning Experiments.
Martin J. ShepperdYuchen GuoNing LiMahir ArzokyAndrea CapiluppiSteve CounsellGiuseppe DestefanisStephen SwiftAllan TuckerLeila YousefiPublished in: CoRR (2019)
Keyphrases
- machine learning
- machine learning algorithms
- data mining
- machine learning methods
- pattern recognition
- knowledge acquisition
- learning algorithm
- statistical methods
- knowledge representation
- learning systems
- learning tasks
- active learning
- error analysis
- machine learning approaches
- model selection
- computational intelligence
- artificial intelligence
- feature selection
- information extraction
- support vector machine
- knowledge discovery
- supervised classification
- computational biology
- machine learning models
- explanation based learning
- decision trees
- knowledge engineering
- learning problems
- semi supervised learning
- least squares
- computer science
- e learning