An analyst has a sufficient volume of data to perform a 3-way partition of the data into training, validation, and test sets to perform honest assessment during the model building process. What is the purpose of the training data set?
A.
To provide an unbiased measure of assessment for the final model.
B.
To compare models and select and fine-tune the final model.
C.
To reduce total sample size to make computations more efficient.
Pretty sure answer is D. Test and Validation help ensure, unbiased measurements. Testing data literally helps build the model.
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