Instanceväljundklasside
Instanceväljundklasside, often translated as "instance output classes" or "instance selection classes," is a concept primarily found in the context of machine learning and artificial intelligence, particularly in areas like data mining and pattern recognition. It refers to the classification of individual data points or instances based on their suitability for being included in a training set or for use in specific algorithmic processes.
The core idea is that not all data instances are equally valuable for training a model. Some
By understanding the "output class" of an instance, algorithms can make more informed decisions about how to
This concept is closely related to techniques like active learning, where the goal is to select the