langtidsvalidering
Langtidsvalidering, meaning long-term validation in English, is a process used to assess the continued accuracy and reliability of a system or model over an extended period. This is particularly relevant in fields where performance can degrade over time due to changing environmental conditions, wear and tear, or evolving data patterns. Unlike short-term validation which focuses on immediate performance, langtidsvalidering aims to detect subtle drifts or biases that may only become apparent after significant usage or exposure to a wide range of operational scenarios.
The methodologies employed in langtidsvalidering can vary. It often involves continuous monitoring of key performance indicators,
Applications of langtidsvalidering can be found in various domains. For instance, in machine learning, it's crucial