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NEW QUESTION: 1
イベント中のコール数を推定する回帰モデルを構築しています。
特徴値がポアソン回帰モデルを構築する条件を満たしているかどうかを判断する必要があります。
機能セットに含める必要がある2つの条件はどれですか？私は正しい答えが解決策の一部を提示します。注意：
それぞれの正しい選択には1ポイントの価値があります。
A. ラベルデータは正の値である必要があります
B. ラベルデータは正でも負でもかまいませんが、
C. ラベルデータは負の値でなければなりません。
D. ラベルデータは非離散でなければなりません。
E. データは整数でなければなりません。
Answer: A,E
Explanation:
説明
ポアソン回帰は、数値（通常はカウント）の予測に使用される回帰モデルでの使用を目的としています。したがって、予測しようとしている値が次の条件に適合する場合にのみ、このモジュールを使用して回帰モデルを作成する必要があります。
*応答変数にはポアソン分布があります。
*カウントは負にできません。ネガティブラベルで使用しようとすると、メソッドは完全に失敗します。
*ポアソン分布は離散分布です。したがって、この方法を非整数で使用することは意味がありません。
参照：
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/poisson-regression
NEW QUESTION: 2
You merge several CSV files by using Query Editor.
You need to remove all the leading whitespaces and all the non-printable characters from a column.
What should you do to achieve each task? To answer, drag the appropriate actions to the correct goals. Each action may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: From the Extract menu, click Trim
Box 2: From the Extract menu, click Clean
NEW QUESTION: 3
Where does the address allocation occur on an PMIPv6 session?
A. The address comes from a RADIUS authentication request.
B. The LMA provides the IP address.
C. The MAG provides the address.
D. The wireless access network provides the address.
Answer: B