The Prevalence of Errors in Machine Learning Experiments.
Martin J. ShepperdYuchen GuoNing LiMahir ArzokyAndrea CapiluppiSteve CounsellGiuseppe DestefanisStephen SwiftAllan TuckerLeila YousefiPublished in: IDEAL (1) (2019)
Keyphrases
- machine learning
- machine learning methods
- data analysis
- machine learning algorithms
- learning algorithm
- data mining
- computer vision
- text classification
- application of machine learning methods
- inductive learning
- artificial intelligence
- decision trees
- case study
- segmentation errors
- machine learning approaches
- learning tasks
- pattern recognition
- model selection
- supervised learning
- knowledge discovery
- reinforcement learning
- knowledge acquisition
- similarity measure
- information extraction
- image processing
- supervised classification
- knowledge representation
- machine learning and data mining
- machine learning models
- natural language