Model Evaluation

Model evaluation is the process of testing an artificial intelligence (AI) model to measure how well it actually performs before and after you rely on it. It checks accuracy on real examples, looks for unfair or unsafe behaviour and compares options, so a choice rests on evidence rather than a demonstration.

It is like road-testing several cars against the same checklist before buying, instead of trusting the brochure. Model evaluation matters because an impressive-looking tool can fail quietly on the cases that count, and only honest testing reveals whether it is fit for your purpose.