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NEW QUESTION: 1
注：この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、記載された目標を達成する可能性のある独自のソリューションが含まれています。一部の質問セットには複数の正しい解決策がある場合もあれば、正しい解決策がない場合もあります。
このセクションの質問に回答すると、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
複数の列に欠損値を含む数値データセットを分析しています。
機能セットの次元に影響を与えることなく、適切な操作を使用して欠損値を消去する必要があります。
すべての値を含めるには、完全なデータセットを分析する必要があります。
解決策：連鎖方程式による多重代入（MICE）メソッドを使用して、各欠損値を置き換えます。
ソリューションは目標を達成していますか？
A. いいえ
B. はい
Answer: B
Explanation:
説明
MICEを使用して置換：欠損値ごとに、このオプションは新しい値を割り当てます。これは、統計文献で「連鎖方程式を使用した多変量代入」として説明されている方法を使用して計算されます。
「連鎖方程式による多重代入」。多重代入法では、欠損値を埋める前に、データ内の他の変数を使用して、欠損データを持つ各変数が条件付きでモデル化されます。
注：連鎖式（MICE）による多変量代入（「完全条件指定」または「逐次回帰多重代入」とも呼ばれる）は、欠損データに対処する1つの原則的な方法として統計文献に登場しました。単一の代入ではなく複数の代入を作成すると、代入の統計的不確実性が考慮されます。さらに、連鎖方程式アプローチは非常に柔軟であり、さまざまなタイプの変数（連続またはバイナリなど）、および境界や調査スキップパターンなどの複雑さを処理できます。
参照：
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3074241/
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/clean-missing-data
NEW QUESTION: 2
A. Option C
B. Option D
C. Option A
D. Option B
Answer: C
NEW QUESTION: 3
Which of the following are characteristics of a referential join? (Choose two)
A. If a field is selected from the right table, it acts similar to an inner join.
B. It assumes referential integrity between right and left tables.
C. If a field is selected from the right table, it acts similar to a left outer join.
D. It requires referential integrity between right and left tables.
Answer: A,B
NEW QUESTION: 4
To media exchange layer, which of the following statement is correct? (Please choose 2 answers)
A. It is responsible for call processing, signal processing and QoS policy control and so on.
B. It takes charge of Video switching, Audio mixing, Data processing, Terminal Access, Signaling exchange and so on.
C. It achieves uses' interaction between the video systems.
D. It is made up by the MCU and voice gateways.
Answer: B,D