Chybovost

Chybovost is a Czech term describing the rate or extent of errors in a process, measurement, or system. It denotes the proportion of incorrect results relative to the total number of observations, outputs, or decisions. The concept is used across disciplines such as statistics, quality management, information technology, and linguistics to quantify accuracy, reliability, and improvement potential.

In practice, chybovost is computed as the number of incorrect or invalid items divided by the total number of items, often expressed as a percentage. It can be decomposed into components such as false positives and false negatives in classification tasks or into measurement errors and sampling errors in surveys. The assessment of chybovost depends on a defined ground truth or reference standard, and it is related to related notions like accuracy, precision, and reliability. Different tasks may require different baselines and tolerance levels.

Applications of the concept include monitoring production quality in manufacturing, evaluating the performance of data-processing systems (for example OCR, speech recognition, or machine translation), and assessing error rates in survey or experiment data. Strategies to reduce chybovost involve improving measurement methods and instrument calibration, increasing sample sizes, implementing validation and verification workflows, and incorporating human review or redundancy. Limitations include dependence on the chosen ground truth, domain-specific definitions of errors, and the challenge of comparability across systems without standardized criteria.