Model evaluation Machine Learning
noun phrase
Definition: The process of assessing how well a trained model performs on a defined task by using quantitative metrics and evaluation data (e.g., validation or test sets) [Google ML Dictionary].
Example in context: “For model evaluation, we computed accuracy, measuring the overall performance of the network, sensitivity and specificity, indicating re- spectively the proportion of APMaps and OPMaps correctly classified as such.” [Mattia et al. 2024]
Related terms: evaluation; model assessment; performance evaluation; benchmarking