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You are working on an Azure Machine Learning experiment.
You have the dataset configured as shown in the following table.
You need to ensure that you can compare the performance of the models and add annotations to the results.
Solution: You connect the Score Model modules from each trained model as inputs for the Evaluate Model
module, and then save the results as a dataset.
Does this meet the goal?
A.
Yes
B.
No
Explanation:
https://msdn.microsoft.com/en-us/library/azure/dn905915.aspx
No.
Because we need to annotations to the results.
I am sorry. Yes, I think now because we can use other tools to add annotations to the results which we saved.