What does "Reference Data" mean?
Table of Contents
Reference data refers to a set of information used to compare or validate the results of a model or system. It acts as a standard to help ensure that outputs meet certain criteria. For example, in fields like medicine or technology, having accurate reference data is crucial for making sure that the results produced by models are reliable and trustworthy.
Importance of Reference Data
Having good reference data allows researchers and developers to check if the models they are using are performing well. This type of data provides the ground truth, which is the actual correct value or outcome that models aim to achieve. When models output results, reference data helps to see if those results align with what is expected.
How Reference Data is Used
Reference data is used in various applications, such as predicting answers to questions or generating medical reports. By comparing model outputs with reference data, it becomes possible to identify which outputs are trustworthy. This can improve decision-making in critical areas like healthcare, where accurate information is vital.
Conclusion
In summary, reference data is essential for ensuring that the results produced by models are accurate and reliable. It plays a key role in validating outputs and making informed decisions based on those outputs.