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ROC

A graphical plot that illustrates the diagnostic ability of a binary classifier—such as a relevance scorer or a guardrail model in a RAG pipeline—by mapping the True Positive Rate against the False Positive Rate at various decision thresholds.

Definition

A graphical plot that illustrates the diagnostic ability of a binary classifier—such as a relevance scorer or a guardrail model in a RAG pipeline—by mapping the True Positive Rate against the False Positive Rate at various decision thresholds.

Disambiguation

Focuses on the sensitivity of retrieval relevance and classification thresholds rather than statistical population distributions.

Visual Metaphor

"A radio tuner sensitivity dial where increasing the sensitivity captures the intended signal (relevant data) but simultaneously increases the audible static (false positives)."

Key Tools
Scikit-learnMLflowArize PhoenixWeights & BiasesTruLens
Related Connections

Conceptual Overview

A graphical plot that illustrates the diagnostic ability of a binary classifier—such as a relevance scorer or a guardrail model in a RAG pipeline—by mapping the True Positive Rate against the False Positive Rate at various decision thresholds.

Disambiguation

Focuses on the sensitivity of retrieval relevance and classification thresholds rather than statistical population distributions.

Visual Analog

A radio tuner sensitivity dial where increasing the sensitivity captures the intended signal (relevant data) but simultaneously increases the audible static (false positives).

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