Audio Classification
Machine Learning
The area under the ROC curve, providing a single score for model performance across all possible classification thresholds.
Detailed Explanation
AUC, or Area Under the ROC Curve, measures a classifier’s ability to distinguish between positive and negative classes. It ranges from 0 to 1, with higher values indicating better performance. A higher AUC means the model is more effective at ranking positive instances higher than negatives across various thresholds, making it a key metric for evaluating classification models.
Use Cases
- •Evaluating a fraud detection model’s accuracy in ranking true positives higher than negatives across all thresholds.
Related Terms
Other terms in the Machine Learning category