Knowledge Graph — Coursera Notes › Academic disciplines › Information Technology / Computer Science › Machine Learning

Agent evaluation metrics

concept · part of Machine Learning

Key metrics for evaluating machine learning agent effectiveness:

• Accuracy: ratio of correct predictions to total predictions
• Precision: ratio of true positive predictions to total positive predictions
• Response time: how quickly the agent processes inputs and returns results
• Resource utilization: efficiency of CPU, memory, and network bandwidth usage
• Error rate: frequency of incorrect outputs
• Scalability: ability to maintain performance with increasing data or complexity
• User satisfaction: assessed via surveys, feedback forms, or interaction tracking

Without regular evaluation, agents risk becoming ineffective due to evolving data, user behavior, or system requirements.

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