igenkänningsnoggrannhet
Igenkänningsnoggrannhet, often translated as recognition accuracy or identification accuracy, is a metric used to evaluate the performance of systems that identify or classify objects, patterns, or data. It quantifies how often a system correctly identifies a given input. In simpler terms, it measures how well a system can distinguish between different categories or instances.
The calculation of igenkänningsnoggrannhet typically involves comparing the system's predictions or classifications against a known set
A high igenkänningsnoggrannhet indicates that the system is performing well and making correct identifications. Conversely, a