An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification.
Vajira ThambawitaDebesh JhaHugo Lewi HammerHåvard D. JohansenDag JohansenPål HalvorsenMichael A. RieglerPublished in: ACM Trans. Comput. Heal. (2020)
Keyphrases
- machine learning
- evaluation metrics
- feature selection
- machine learning methods
- statistical analysis
- machine learning algorithms
- precision and recall
- decision trees
- supervised learning
- text classification
- benchmark datasets
- classification accuracy
- information extraction
- feature set
- feature vectors
- information retrieval systems
- training set