You are making use of the Azure Machine Learning to designer construct an experiment. After dividing a dataset into training and testing sets, you configure the algorithm to be Two-Class Boosted Decision Tree. You are preparing to ascertain the Area Under the Curve (AUC). Which of the following is a sequential combination of the models required to achieve your goal?

QuestionsCategory: DP-100You are making use of the Azure Machine Learning to designer construct an experiment. After dividing a dataset into training and testing sets, you configure the algorithm to be Two-Class Boosted Decision Tree. You are preparing to ascertain the Area Under the Curve (AUC). Which of the following is a sequential combination of the models required to achieve your goal?
Admin Staff asked 4 months ago
You are making use of the Azure Machine Learning to designer construct an experiment.
After dividing a dataset into training and testing sets, you configure the algorithm to be Two-Class Boosted Decision Tree.
You are preparing to ascertain the Area Under the Curve (AUC).
Which of the following is a sequential combination of the models required to achieve your goal?

A. Train, Score, Evaluate.

B. Score, Evaluate, Train.

C. Evaluate, Export Data, Train.

D. Train, Score, Export Data.








 

Suggested Answer: A



This question is in DP-100 Exam
For getting Microsoft Azure Data Scientist Associate Certificate


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