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NEW QUESTION: 1
モデルの適合の問題を修正する必要があります。
順番に実行する必要がある3つのアクションはどれですか？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エリアに移動し、正しい順序に並べます。

Answer:
Explanation:

Explanation

Step 1: Augment the data
Scenario: Columns in each dataset contain missing and null values. The datasets also contain many outliers.
Step 2: Add the Bayesian Linear Regression module.
Scenario: You produce a regression model to predict property prices by using the Linear Regression and Bayesian Linear Regression modules.
Step 3: Configure the regularization weight.
Regularization typically is used to avoid overfitting. For example, in L2 regularization weight, type the value to use as the weight for L2 regularization. We recommend that you use a non-zero value to avoid overfitting.
Scenario:
Model fit: The model shows signs of overfitting. You need to produce a more refined regression model that reduces the overfitting.

NEW QUESTION: 2
Welcher der folgenden Gründe ist der primäre Grund für den Einsatz von physischem Sicherheitspersonal an Einstiegspunkten in Einrichtungen, in denen der Kartenzugriff in Betrieb ist?
A. Um aktuelle Gefahren zu identifizieren, die behoben werden müssen.
B. Um Mitarbeitern eine sichere Umgebung zu bieten.
C. Um sicherzustellen, dass nur Mitarbeiter Zugriff auf die Einrichtung haben.
D. Überwachung der Personalbewegung in der gesamten Einrichtung.
Answer: B

NEW QUESTION: 3
Which method must the developer implement when instantiating
WL.Client.createSecurityCheckChallengeHandler?
A. handleChallenge()
B. submitChallengeAnswer(answer)
C. cancel()
D. handleAuthenticationError()
Answer: A