labeling accuracy

Labeling accuracy refers to how correctly data points or items are marked or categorized. For example, in machine learning, it measures the percentage of labels (like "cat" or "dog" on pictures) that are correctly assigned. High accuracy means most labels are correct, leading to better model performance. It helps ensure that the data used for training or analysis is reliable, reducing errors and improving decision-making. Essentially, labeling accuracy is a measure of quality control in the process of tagging or classifying information.