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