What is labeled data?

Question

In the context of this exercise, what is labeled data?

Answer

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”.

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Thank you so much… :slight_smile:

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really helpful explanation

labeled data is a pair of input or output data , basically for example if we consider a picture and mentions some of the input as person , car, tree , house etc so the output to obtain from this dataset will be a part of input data in a classified manner . for eg the outputs can be just a car or tree whatever hence its a part of input data, this is how it becomes a pair of input and output data.
the user has to provide the labeled data and then the machine classifies the data and builds a model and finds patterns and returns the output

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