Confusion Matrices and Accuracy Statistics for Binary Classifiers Using Unlabeled Data: The Diagnostic Test Approach.
Richard EvansPublished in: CoRR (2022)
Keyphrases
- unlabeled data
- confusion matrices
- binary classifiers
- semi supervised learning
- labeled data
- binary classification problems
- semi supervised
- confusion matrix
- multi class
- data points
- supervised learning
- active learning
- binary classification
- text classification
- hyperplane
- text categorization
- learning algorithm
- training data
- training set
- multi class classification
- class distribution
- class labels
- prior knowledge
- multiclass classification
- reinforcement learning
- feature space
- class imbalance
- transfer learning
- multi task
- training samples
- cross validation
- prediction accuracy
- decision trees
- machine learning