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46 - Splitting data into training and testing sets for machine learning
When you build a model using machine learning or other means it is important to validate it with a test data set. It is important to test the model on data that the algorithm did not use for training purposes. It is also important for the test data set to follow similar probability distribution as the training data set. The easiest way to ...
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