feilraten

Feilraten, commonly translated as "error rate," is a measure used in statistics, information theory, and quality assessment to express the proportion of incorrect outcomes relative to a total number of observations or symbols. It is defined as the number of errors divided by the total number of trials, transmissions, or units examined. In digital communications the term is often specialized as bit error rate (BER), defined as the number of bit errors divided by the total number of transmitted bits. In classification or prediction tasks the term is used similarly: the error rate is the fraction of predictions that are incorrect on a given dataset. In measurement and instrumentation, it can refer to the portion of readings that deviate from a reference value beyond a tolerance.

Calculation and interpretation: If E errors occur in N trials, error rate = E/N. It is the complement of accuracy, where accuracy = 1 − error rate. The error rate is influenced by noise, bias, and sampling, and may be reported per unit time, per symbol, or per item depending on context. It is distinct from related metrics such as mean squared error, precision, and recall.

Reducing the error rate involves improving hardware or software, adding redundancy or error-correcting codes, calibrating instruments, increasing data quality, and using more robust models or algorithms. Limitations include definitional variability and time dependence, as different applications may count errors differently.