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NEW QUESTION: 1
注:この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、記載された目標を達成する可能性のある独自のソリューションが含まれています。一部の質問セットには複数の正しい解決策がある場合もあれば、正しい解決策がない場合もあります。
このセクションの質問に回答すると、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
次の変数に応じて、学生のアートワークの価格を予測するモデルを作成しています:学生の教育期間、学位タイプ、および芸術形態。
まず、線形回帰モデルを作成します。
線形回帰モデルを評価する必要があります。
解決策:次のメトリックを使用します:相対二乗誤差、決定係数、精度、精度、リコール、F1スコア、およびAUC。
ソリューションは目標を達成していますか?
A. いいえ
B. はい
Answer: A
Explanation:
Explanation
Relative Squared Error, Coefficient of Determination are good metrics to evaluate the linear regression model, but the others are metrics for classification models.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate-model

NEW QUESTION: 2
A user is currently in thedirectory/home/user/Downloads/and runs the command ls ../Documents/ Assuming it exists, which directory's content is displayed?
A. /home/user/Documents/Downloads/
B. /home/Documents
C. /Documents/
D. /home/user/Documents/
E. /home/user/Downloads/Documents/
Answer: C

NEW QUESTION: 3
あなたはWCFサービスを開発しています。
NTLM認証とNetTcpBindingsを使用してトランスポートセキュリティを実装する必要があります。
どの構成値を使用するべきですか? (回答するには、適切な設定値を回答領域内の正しい場所にドラッグします。各設定値は、1回または2回以上使用することができます。ペイン間の分割バーをドラッグするか、または コンテンツを表示します。)

Answer:
Explanation:

Explanation