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NEW QUESTION: 1
自動機械学習ユーザーインターフェイス（UI）を使用して、機械学習モデルを構築します。
モデルが責任あるAIに関するMicrosoftの透明性の原則を満たしていることを確認する必要があります。
あなたは何をするべきか？
A. 検証タイプを自動に設定します。
B. Explain bestmodelを有効にします。
C. 最大同時反復回数を0に設定します。
D. プライマリメトリックを精度に設定します。
Answer: B
Explanation:
Explanation
Model Explain Ability.
Most businesses run on trust and being able to open the ML "black box" helps build transparency and trust. In heavily regulated industries like healthcare and banking, it is critical to comply with regulations and best practices. One key aspect of this is understanding the relationship between input variables (features) and model output. Knowing both the magnitude and direction of the impact each feature (feature importance) has on the predicted value helps better understand and explain the model. With model explain ability, we enable you to understand feature importance as part of automated ML runs.
Reference:
https://azure.microsoft.com/en-us/blog/new-automated-machine-learning-capabilities-in-azure-machine-learning

NEW QUESTION: 2



A. Option A
B. Option B
C. Option C
D. Option D
Answer: C

NEW QUESTION: 3
Why should a project team reduce the work in progress?
A. It represents team members' utilization
B. It indicates poor project quality
C. It represents unrealized value
D. It shows that the project is behind schedule
Answer: C