Model Evaluation & Metrics
True Negative
Correctly predicted negative cases in classification.
This concept is essential for understanding model evaluation & metrics and forms a key part of modern AI systems.
Related Concepts
- Confusion Matrix
- Specificity
- Accuracy
Tags
model-evaluation-metrics confusion-matrix specificity accuracy
Related Terms
Accuracy
The proportion of correct predictions out of total predictions, a basic classification metric.
Confusion Matrix
A table showing true positives, true negatives, false positives, and false negatives for classification evaluation.
Specificity
The proportion of actual negatives correctly identified.