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NEW QUESTION: 1


Answer:
Explanation:

Explanation

NEW QUESTION: 2
What is the NIST standards that provides password complexity requirements
A. 800-61
B. 800-57
C. 800-63
D. 800-53
Answer: C

NEW QUESTION: 3
あなたは線形回帰モデルを作成するデータサイエンティストです。
データが回帰直線にどの程度適合するかを判断する必要があります。
どのメトリックを確認する必要がありますか？
A. Recall
B. Root Mean Square Error
C. Coefficient of determination
D. Precision
E. Mean absolute error
Answer: C
Explanation:
Coefficient of determination, often referred to as R2, represents the predictive power of the model as a value between 0 and 1. Zero means the model is random (explains nothing); 1 means there is a perfect fit. However, caution should be used in interpreting R2 values, as low values can be entirely normal and high values can be suspect.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate-model