Assessment Metrics

Assessment metrics are tools used to measure the performance or accuracy of a model, system, or process. They help determine how well something is working by providing specific, quantifiable indicators. For example, in machine learning, metrics like accuracy show how often the model’s predictions are correct, while others like precision and recall provide insights into different types of correctness or errors. These metrics guide improvements and comparisons, ensuring solutions meet desired goals effectively and reliably.