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NEW QUESTION: 1
機械学習モデルを作成しています。 null行を含むデータセットがあります。
Azure Machine Learning StudioのClean Missing Dataモジュールを使用して、データセット内のnullデータと欠落データを特定して解決する必要があります。
どのパラメーターを使用する必要がありますか?
A. 行全体を削除します
B. ホットデッキ
C. 列全体を削除します
D. 平均で置換
Answer: C
Explanation:
Remove entire row: Completely removes any row in the dataset that has one or more missing values. This is useful if the missing value can be considered randomly missing.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/clean-missing-data

NEW QUESTION: 2
Order the steps needed to create a new security zone with a Palo Alto Networks firewall.

Answer:
Explanation:


NEW QUESTION: 3
drag from the left the acceptable minimum cell overlap for data and voice cells for site survey and deployment

Answer:
Explanation:

Explanation
Voice = 22 MHz
Data = 30 Mhz