Which of the following statements a) , b) or c) is false?
A) You should first break your data into a training set and a testing set to prepare to train and test a model.
B) The function train_test_split from the sklearn.model_selection module simply splits in order the dataset's samples and target values into training and testing sets. This helps ensure that the training and testing sets have similar characteristics.
C) Function train_test_split provides the keyword argument random_state for xe "reproducibility"reproducibility. When you run the code in the future with the same seed value, train_test_split will select the same data for the training set and the same data for the testing set. In machine-learning studies, this helps others confirm your results by working with the same randomly selected data.
D) All of the above statements are true.
Correct Answer:
Verified
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