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NEW QUESTION: 1
You are building a binary classification model by using a supplied training set.
The training set is imbalanced between two classes.
You need to resolve the data imbalance.
What are three possible ways to achieve this goal? Each correct answer presents a complete solution NOTE:
Each correct selection is worth one point.
A. Use accuracy as the evaluation metric of the model.
B. Penalize the classification
C. Normalize the training feature set.
D. Resample the data set using under sampling or oversampling
E. Generate synthetic samples in the minority class.
Answer: A,D,E
NEW QUESTION: 2
When do you refresh a Sandbox?
A. When a Production user is added
B. After a major update
C. Before UAT
D. Option 4
Answer: C
NEW QUESTION: 3
Higher Quality Scores typically lead to:
A. Higher costs and lower ad positions.
B. Less overall impressions.
C. Faster delivery of daily budget.
D. Lower costs and better ad positions.
Answer: D