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NEW QUESTION: 1
Which two of the following measures would give the best indication of likely product quality?
a. Number of hours of overtime worked.
b.Number of test runs.
c.Coverage of requirements achieved.
d.Defect trends.
e.Budget sent so far.
A. a and c.
B. d and e.
C. c and d.
D. b and d.
Answer: C
NEW QUESTION: 2
CORRECT TEXT
What is the key difference between logical file name and physical dataset name?
A. Logical file name is used in the job control while physical dataset is not.
B. Physical dataset name is used in the program while logical file name is not.
C. Physical dataset name is used in the job control while logical file name is not.
D. Logical file name is used in the program while physical dataset is not.
Answer: D
NEW QUESTION: 3
데이터 과학자는 로지스틱 회귀를 사용하여 사기 탐지 모델을 구축합니다. 모델 정확도는 99 %이지만 사기 사례의 90 %는 모델에서 감지되지 않습니다.
모델이 사기 사례의 10 % 이상을 감지하는 데 확실히 도움이 되는 조치는 무엇입니까?
A. 언더 샘플링을 사용하여 데이터 세트 균형 조정
B. 클래스 확률 임계 값 줄이기
C. 오버 샘플링을 사용하여 데이터 세트 균형 조정
D. 정규화를 사용하여 과적 합 줄이기
Answer: B
Explanation:
Decreasing the class probability threshold makes the model more sensitive and, therefore, marks more cases as the positive class, which is fraud in this case. This will increase the likelihood of fraud detection. However, it comes at the price of lowering precision.