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NEW QUESTION: 1
Azure Machine Learning Studioで多重線形回帰モデルを作成しています。
いくつかの独立変数は高度に相関しています。
すべてのデータに対して効果的な特徴エンジニアリングを行うための適切な方法を選択する必要があります。
どの3つのアクションを順番に実行する必要がありますか？回答するには、適切なアクションをアクションのリストから回答領域に移動し、正しい順序に並べます。
Answer:
Explanation:
Explanation
Step 1: Use the Filter Based Feature Selection module
Filter Based Feature Selection identifies the features in a dataset with the greatest predictive power.
The module outputs a dataset that contains the best feature columns, as ranked by predictive power. It also outputs the names of the features and their scores from the selected metric.
Step 2: Build a counting transform
A counting transform creates a transformation that turns count tables into features, so that you can apply the transformation to multiple datasets.
Step 3: Test the hypothesis using t-Test
References:
https://docs.microsoft.com/bs-latn-ba/azure/machine-learning/studio-module-reference/filter-based-feature-selec
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/build-counting-transform
NEW QUESTION: 2
次のワイヤレス暗号化標準のうち、ワイヤレスネットワークを保護するプロセスで802.1Xを使用しているのはどれですか？
A. WPA-エンタープライズ
B. WPS
C. WPA2-PSK
D. WEP
Answer: B
NEW QUESTION: 3
An administrator is not able to access a database on an IBM Domino server as he/she receives the error "You are not authorized to access that database". What can the administrator do to access that database?
A. Turn on "Full Access Administration" then try to access the database.
B. Switch IDs to the server ID then try to access the database.
C. Run maintenance (fixup, compact, updall) against the database in question.
D. Try to modify the Access Control List of the database by selecting the database in the Files tab of the administrator client.
Answer: A