Quick Overview of Split Validation
An introduction to train, validate and test data split using sklearn.
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Definition: Split validation
A crucial part of machine learning is partitioning the data into two separate sets using a technique called split validation.
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The first set is called the training data and is used to build the prediction model.
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The second set is called the test data and is kept in reserve to assess the model’s accuracy developed from ...