Term #2,405

Classification accuracy

Origin matter: BRT-PAT-2-PROV

Claim Term Classification accuracy
Reference Case 1 BRT_PAT-2-PROV
Date Added 1/7/26
Created 1/7/26, 7:37 PM
Modified 8/18/26, 4:56 PM
Full Desc
“Classification accuracy” refers to a measure of how correctly a computational system assigns items to their intended categories or outcome classes. Classification accuracy may be calculated in various ways, including, without limitation, the proportion of correctly classified samples, weighted or averaged accuracy across multiple classes, accuracy computed relative to a reference dataset containing known or expected labels, or the like. In some embodiments, classification accuracy is used as part of a training objective, performance evaluation process, quality-control mechanism for manuscript screening systems, or the like.

Applications using this term

Matter Usage Notes Actions
BRT-PAT-2-PROV Defined App terms