HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:
 
















 

Suggested Answer: 
    

Box 1: No -
The validation dataset is different from the test dataset that is held back from the training of the model.
Box 2: Yes -
A validation dataset is a sample of data that is used to give an estimate of model skill while tuning model's hyperparameters.
Box 3: No -
The Test Dataset, not the validation set, used for this. The Test Dataset is a sample of data used to provide an unbiased evaluation of a final model fit on the training dataset.
Reference:
https://machinelearningmastery.com/difference-test-validation-datasets/

This question is in AI-900 Microsoft Azure AI Fundamentals Exam
For getting Microsoft Certified: Azure AI Fundamentals Certificate





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