Recognition accuracy Machine learning
noun
Definition: The correctness (accuracy) of a recognition system’s outputs relative to the true labels [Bakanach 2023/2024].
Example in context: “Although recognition accuracy varies greatly depending on the application and is largely dependent on the datasets utilised in the study, previous techniques to emotion detection using EEG signals showed classification accuracies more than 80% on average.” [Samal, Hashmi 2024]
Related terms: accuracy, precision, recall