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NEW QUESTION: 1
クリーニングが必要な生のデータセットを分析しています。
Azure Machine Learning Studioを使用して、変換と操作を実行する必要があります。
変換を実行するには、正しいモジュールを識別する必要があります。
どのモジュールを選択する必要がありますか？答えるには、適切なモジュールを正しいシナリオにドラッグします。各モジュールは、1回、複数回使用することも、まったく使用しないこともできます。
コンテンツを表示するには、ペイン間で分割バーをドラッグするか、スクロールする必要がある場合があります。
注：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。
Answer:
Explanation:
Explanation
Box 1: Clean Missing Data
Box 2: SMOTE
Use the SMOTE module in Azure Machine Learning Studio to increase the number of underepresented cases in a dataset used for machine learning. SMOTE is a better way of increasing the number of rare cases than simply duplicating existing cases.
Box 3: Convert to Indicator Values
Use the Convert to Indicator Values module in Azure Machine Learning Studio. The purpose of this module is to convert columns that contain categorical values into a series of binary indicator columns that can more easily be used as features in a machine learning model.
Box 4: Remove Duplicate Rows
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/smote
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/convert-to-indicator-values
NEW QUESTION: 2
When accessing default administrative account with the ProxySG Management Console, which one of these passwords is used?
A. Front panel PIN code
B. Setup Console password
C. Enable password
D. Console password
Answer: C
NEW QUESTION: 3
Refer to Exhibit.
What conclusion can you draw from the oven ping output?
A. Fragmentation failed during the ping operation
B. packet life was exceeded in 5 percent of the operations
C. ping operation sent packets ranging from 506 to 1500 bytes in size
D. Verbose option was set in the IP header
Answer: A