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Which function in scikit-learn is used to split data into training and testing sets?Answer areatrain_test_split()split_data()data_split()train_test()

Question

Which function in scikit-learn is used to split data into training and testing sets?

  • Answer options:
    • train_test_split()
    • split_data()
    • data_split()
    • train_test()
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Solution

Break Down the Problem

  1. Identify the context: The question is about scikit-learn, a popular library in Python for machine learning.
  2. Determine what is being asked: The function used to split data into training and testing sets.

Relevant Concepts

The common function in scikit-learn used for splitting datasets is important for model evaluation.

Analysis and Detail

  1. The options provided are:

    • train_test_split()
    • split_data()
    • data_split()
    • train_test()
  2. Among these, only one of the functions is a recognized method in the scikit-learn library.

Verify and Summarize

To verify, I can look up the documentation or usage of these functions:

  • train_test_split() is a function available in the sklearn.model_selection module specifically designed for this purpose.

Final Answer

The correct function used to split data into training and testing sets in scikit-learn is train_test_split().

This problem has been solved

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