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