Understanding Prediction Discrepancies in Machine Learning Classifiers.
Xavier RenardThibault LaugelMarcin DetynieckiPublished in: CoRR (2021)
Keyphrases
- machine learning
- machine learning algorithms
- decision trees
- machine learning methods
- machine learning approaches
- training data
- supervised classification
- prediction accuracy
- ensemble classifier
- artificial intelligence
- feature selection
- computer vision
- learning problems
- support vector machine
- prediction algorithm
- svm classifier
- support vector
- prediction model
- learning tasks
- feature set
- supervised learning
- active learning
- neural networks and support vector machines
- training samples
- classification systems
- learning algorithm
- classification method
- linear classifiers
- pattern recognition
- classification models
- statistical methods
- multiple classifier systems
- prediction error
- concept drift
- feature extraction
- data sets
- semi supervised learning
- multi class
- information extraction
- training set