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AI Model Evaluation & Testing › Model Accuracy & Precision Metrics

What is Model Accuracy & Precision Metrics

Beginner

Answer

Model accuracy and precision metrics are numbers used to measure how correct a model's predictions are, with accuracy measuring overall correctness and precision measuring correctness among positive predictions.
Real-world example A spam filter with high precision rarely marks a normal email as spam, even if it occasionally misses some actual spam.

Common follow-ups: What is AI Model Evaluation & Testing, How is Model Accuracy & Precision Metrics evaluated in practice, What tools are commonly used for Model Accuracy & Precision Metrics