Accuracy
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Metrics: Accuracy, Precision, Sensitivity, Specificity, and F1 scoreStats 2019. 9. 27. 14:03
1. Overview In pattern recognition, information retrieval and classification, precision (also called positive predictive value) is the fraction of relevant instances among the retrieved instances, while recall (aka sensitivity) is the fraction of relevant instances that have been retrieved over the total amount of relevant instances. Both precision and recall are therefore based on an understand..