method#Machine Learning#Analytics#Reliability

Model Evaluation

Systematic assessment of machine learning models using metrics, validation techniques and error analysis to decide on deployment readiness.

Model evaluation is a systematic process for assessing machine learning models using appropriate metrics, validation strategies, and error analysis.

Maturity

Established

Cognitive loadMedium

360° overview

Six perspectives place the building block in context. The numbers show where each perspective continues in the reading path.

The building block at a glance

Model Evaluation

360°

2

2

Integrations

ML experiment tracking (e.g. MLflow, Weights & Biases)

+2

1

Measurements must be reproducible and versioned.

Value stream stage: Iterate

4

3

4