Update Part 1 - Introduction to Machine Learning with scikit-learn.md

HackBinghamtonArchives · Apr 2, 2019 · 71076d3 · 71076d3
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@@ -72,9 +72,13 @@ X_train, X_test, y_train, y_test = train_test_split(digits.data, digits.target,
 
 In the above example, we import the `train_test_split` method from scikit-learn's `model_selection` sublibrary and use it to generate four smaller arrays:
 `X_train`, a two-dimensional array containing a certain amount of entries from the main dataset. Does not include the expected outcome of each data entry.
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 `Y_train`, a one-dimensional array containing the expected outcome of each data entry in `X_train`.
 
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 `X_test`, a two-dimensional array containing a certain amount of entries from the main dataset. Does not include the expected outcome of each data entry.
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 `Y_test`, a one-dimensional array containing the expected outcome of each data entry in `X_test`.
 
 Continuing our analogy of studying for a math exam,