Labeling

Labeling is a critical step in supervised machine learning where data points are annotated with labels that signify their correct classification. This can involve simple tasks, such as identifying objects in images, or more complex tasks, such as sentiment analysis in text. Properly labeled data is essential for training algorithms to make accurate predictions.