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What is ML Model Validation?
ML model validation ensures produced models meet specified quantitative and qualitative objectives on their intended data—reducing risks such as overfitting—before deployment and as part of ongoing ML governance.
Related Giskard articles
Validate models before production with Giskard
Validation should include held-out metrics and adversarial/security scenarios. Build that combined suite in Giskard.
Further reading
Authoritative reference: scikit-learn cross-validation.
