Model Evaluation & Metrics
True Positive
Correctly predicted positive 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
- Precision
- Recall
Tags
model-evaluation-metrics confusion-matrix precision recall
Related Terms
Confusion Matrix
A table showing true positives, true negatives, false positives, and false negatives for classification evaluation.
Precision
The proportion of true positives among all positive predictions - measures how many predicted positives are actually positive.
Recall
The proportion of true positives among all actual positives - measures how many actual positives were correctly identified.