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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. Generate synthetic samples in the minority class.
B. Normalize the training feature set.
C. Penalize the classification
D. Use accuracy as the evaluation metric of the model.
E. Resample the data set using under sampling or oversampling
Answer: A,D,E
NEW QUESTION: 2
When do you refresh a Sandbox?
A. Option 4
B. After a major update
C. When a Production user is added
D. Before UAT
Answer: D
NEW QUESTION: 3
Higher Quality Scores typically lead to:
A. Faster delivery of daily budget.
B. Less overall impressions.
C. Higher costs and lower ad positions.
D. Lower costs and better ad positions.
Answer: D