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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-selection
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/build-counting-transform

NEW QUESTION: 2
ユニバーサルコンテナは、独自のサービスコンソールアプリケーションを使用する技術サポートチームと一般の顧客チームを擁していました。
コンソールを展開するときにコンサルタントが使用するべき2つの構成はどれですか。
A. サービスコンソールアプリへのアクセス権を持つプロファイルをユーザーに割り当てます
B. サービスコンソールアプリへのアクセス権を持つ共有ルールをユーザーに割り当てます
C. サービスコンソールアプリへのアクセス権を持つユーザーをパブリックグループに割り当てます
D. ユーザーにサービスコンソールアプリケーションへのアクセス権を割り当てます。
Answer: A,D

NEW QUESTION: 3
Regression Testing can be performed in which test stage(s)?
A. All of the above
B. System Test
C. Unit Test
D. None of the above
E. String / Integration Test
Answer: A