Solved Use the train_test_split function from scikit-learn | Chegg.com
sklearn.model_selection.train_test_split — scikit-learn 1.4.0 documentation
sklearn.model_selection.train_test_split — scikit-learn 1.4.0 documentation
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sklearn.model_selection.train_test_split — scikit-learn 1.4.0 documentation
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Solved Use the scikit-learn "train_test_split" function to | Chegg.com
sklearn.model_selection.train_test_split — scikit-learn 1.4.0 documentation
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sklearn.model_selection.train_test_split — scikit-learn 1.4.0 documentation
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SOLVED: Use the scikit-learn traintestsplit function to create a Training-Test split with 75% of the data designated for training and 25% for testing. Make sure to use the random state provided below
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