Knowledge Graph — Coursera Notes › Academic disciplines › Computer Science / Information Technology › Artificial Intelligence › Machine Learning & Data

Model Testing

concept · part of Machine Learning & Data

Model testing is the process of evaluating a machine learning model's performance, robustness, and reliability before deployment.

Inside Model Testing (2)

• Edge-case testing — Testing a model with extreme values, missing data, out-of-distribution samples, and empty input to ensure graceful degradation.
• Load testing — Simulating high concurrent request volume to test a model's scalability under stress.

Connections

• Uses Edge-case testing
• Uses Load testing
• Related to Edge-case testing
• Related to Load testing

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