TAAFT
Free mode
100% free
Freemium
Free Trial
Create tool

ROC Curve

[ɑr oʊ si kɜrv]
Machine Learning
Last updated: December 9, 2024

Definition

A graph showing the trade-off between true positive rate and false positive rate at various classification thresholds.

Detailed Explanation

The Receiver Operating Characteristic curve plots the True Positive Rate against the False Positive Rate at different classification thresholds. It visualizes the diagnostic ability of a binary classifier system as its discrimination threshold varies. The curve demonstrates the trade-off between sensitivity and specificity.

Use Cases

Widely used in medical testing, fraud detection, and risk assessment models where threshold adjustment is important.

Related Terms