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Answer: A module for splitting data into training and validation subsets.
The correct answer is C. The 'Split Data' module in Azure Machine Learning designer is specifically designed to divide a dataset into two distinct sets. This is commonly used to create training and validation datasets, which are essential for evaluating a machine learning model's performance. Other options such as selecting columns, adding rows, or joining data do not serve the purpose of partitioning a dataset into training and validation subsets.
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In Azure Machine Learning designer, which module is used to partition an existing dataset into separate training and validation sets?
A
A module for filtering dataset columns.
B
A module for inserting additional rows into a dataset.
C
A module for splitting data into training and validation subsets.
D
A module for merging different datasets.
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