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NEW QUESTION: 1
While reviewing the histogram for residuals on regression evaluation data a Machine Learning Specialist notices that the residuals do not form a zero-centered bell shape as shown What does this mean?
A. The dataset cannot be accurately represented using the regression model
B. The model might have prediction errors over a range of target values.
C. The model is predicting its target values perfectly.
D. There are too many variables in the model
Answer: C
NEW QUESTION: 2
HOTSPOT
Answer:
Explanation:
NEW QUESTION: 3
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、指定された目標を満たす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がありますが、他の質問セットには正しい解決策がない場合があります。
このセクションの質問に回答した後は、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。
Azure Machine Learningを使用して、分類モデルをトレーニングする実験を実行しています。
Hyperdriveを使用して、モデルのAUCメトリックを最適化するパラメーターを見つけます。次のコードを実行して、実験用のHyperDriveConfigを構成します。
y_testという名前の変数、およびモデルから予測された確率は、y_predictedという名前の変数に格納されます。 HyperdriveがAUCメトリックのハイパーパラメーターを最適化できるようにするには、スクリプトにログを追加する必要があります。解決策：次のコードを実行します。
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