Recall and Selectivity Normalized in Class Labels as a Classification Performance Metric.
Robert BurdukPublished in: ICDM (Workshops) (2023)
Keyphrases
- class labels
- classification algorithm
- supervised learning
- training data
- multi label
- training examples
- unlabeled data
- input features
- labeled data
- object recognition
- unseen data
- feature set
- image classification
- training dataset
- class distribution
- model selection
- classification accuracy
- training set
- reinforcement learning
- similarity measure
- machine learning
- multiple labels
- label information
- multiple types
- machine learning algorithms
- text classification
- markov random field
- feature space
- image processing