Key Concepts & Terminology
Detailed definitions and explanations of the key concepts and terms that are used throughout the Knowledge Base to explain what we do and how we do it.
- Balance
- Clusters
- Concept drift
- Coverage
- Datasets
- Entities
- Labels (predictions, confidence levels, hierarchy, etc.)
- Models
- Model Rating
- Projects
- Precision
- Recall
- Reviewed and unreviewed verbatims
- Sources
- Streams
- Taxonomies
- Training
- True and false positive and negative predictions
- Validation
- Verbatims