Question

What is the difference between testing and training data?
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Answer 1

Answer:

In a dataset, a training set is implemented to build up a model, while a test (or validation) set is to validate the model built. ... Data points in the training set are excluded from the test (validation) set.

Answer 2

Explanation:

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In a dataset, a training set is implemented to build up a model, while a test (or validation) set is to validate the model built. Data points in the training set are excluded from the test (validation) set. Usually, a dataset is divided into a training set, a validation set (some people use ‘test set’ instead) in each iteration, or divided into a training set, a validation set and a test set in each iteration.

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