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()
Solution
Break Down the Problem
- Identify the context: The question is about scikit-learn, a popular library in Python for machine learning.
- 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
-
The options provided are:
train_test_split()
split_data()
data_split()
train_test()
-
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()
.
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