In the context of this exercise, what is labeled data?
Labeled data is data that has been assigned some form of label/tag/classification, which provides useful information about it. Labels are used by supervised learning models which “learn” from the labeled data in order to make predictions for unlabeled data.
For example, a labeled dataset can be a set of images of various animals. The labels could be the animals represented in the images. Another example is a dataset of books, where each book is labeled by a classification of “good” or “bad”.