---
id: kb-2026-00282
title: Model Evaluation Metrics
schema_type: TechArticle
category: ai
language: en
confidence: medium
last_verified: '2026-05-28'
created_date: '2026-05-22'
generation_method: ai_structured
derived_from_human_seed: true
conflict_of_interest: none_declared
is_live_document: false
data_period: static
atomic_facts:
  - id: fact-model-evaluation-1
    statement: >-
      Scikit-learn documents classification metrics as one category of tools for quantifying
      prediction quality.
    source_title: 'Scikit-learn: Classification Metrics'
    source_url: https://scikit-learn.org/stable/modules/model_evaluation.html#classification-metrics
    confidence: medium
  - id: fact-model-evaluation-2
    statement: >-
      Scikit-learn documents regression metrics separately from classification metrics when
      evaluating prediction error.
    source_title: 'Scikit-learn: Regression Metrics'
    source_url: https://scikit-learn.org/stable/modules/model_evaluation.html#regression-metrics
    confidence: medium
  - id: fact-model-evaluation-3
    statement: >-
      Scikit-learn cross-validation tools evaluate estimators by repeatedly splitting data into
      train and test subsets.
    source_title: 'Scikit-learn: Cross-validation'
    source_url: https://scikit-learn.org/stable/modules/cross_validation.html
    confidence: medium
completeness: 0.86
known_gaps:
  - This compact repair keeps only source-mapped public claims from the sampled audit entry.
disputed_statements: []
primary_sources:
  - title: 'Scikit-learn: Classification Metrics'
    type: documentation
    year: 2026
    url: https://scikit-learn.org/stable/modules/model_evaluation.html#classification-metrics
    institution: Scikit-learn
  - title: 'Scikit-learn: Regression Metrics'
    type: documentation
    year: 2026
    url: https://scikit-learn.org/stable/modules/model_evaluation.html#regression-metrics
    institution: Scikit-learn
  - title: 'Scikit-learn: Cross-validation'
    type: documentation
    year: 2026
    url: https://scikit-learn.org/stable/modules/cross_validation.html
    institution: Scikit-learn
secondary_sources: []
updated: '2026-05-28'
---

## TL;DR

Model evaluation metrics quantify prediction quality, with different metrics for classification, regression, and validation workflows.

## Core Explanation

This repair removes fabricated 2025 surveys and maps public claims to scikit-learn documentation for classification metrics, regression metrics, and cross-validation.

## Further Reading

- [Scikit-learn: Classification Metrics](https://scikit-learn.org/stable/modules/model_evaluation.html#classification-metrics)
- [Scikit-learn: Regression Metrics](https://scikit-learn.org/stable/modules/model_evaluation.html#regression-metrics)
- [Scikit-learn: Cross-validation](https://scikit-learn.org/stable/modules/cross_validation.html)