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NEW QUESTION: 1
Azure Machine Learning Studioで線形回帰モデルを開発しています。さまざまなアルゴリズムを比較する実験を実行します。
次の画像は、結果データセットの出力を示しています。

ドロップダウンメニューを使用して、画像に表示される情報に基づいて各質問に回答する回答の選択肢を選択します。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation

Box 1: Boosted Decision Tree Regression
Mean absolute error (MAE) measures how close the predictions are to the actual outcomes; thus, a lower score is better.
Box 2:
Online Gradient Descent: If you want the algorithm to find the best parameters for you, set Create trainer mode option to Parameter Range. You can then specify multiple values for the algorithm to try.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate-model
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression

NEW QUESTION: 2
You are modifying an existing banking application.
The application includes an Account class and a Customer class. The following code segment defines the classes.

You populate a collection named customerCollection with Customer and Account objects by using the following code segment:

You create a largeCustomerAccounts collection to store the Account objects by using the following code segment:
Collection<Account> largeCustomerAccounts = new Collection<Account> ();
All accounts with a Balance value greater than or equal to 1,000,000 must be tracked.
You need to populate the largeCustomerAccounts collection with Account objects.
Which code segment should you use?

A. Option D
B. Option B
C. Option A
D. Option C
Answer: D

NEW QUESTION: 3
Which of the following scenarios and databases is least suited to be utilized by a blockchain solution?
A. Scenario: A family filter wifi router; Dataset: Websites Visited, Websites Blocked, Download History
B. Scenario: Law enforcement system; Dataset: Criminal Arrests, Warrants for Arrest, Conviction Date
C. Scenario: An Email campaign service; Dataset: Recipient Email, From Email; Subject, Body
D. Scenario: Credit score app; Dataset: Credit Score, Hard Inquiries; Collections, Date Removed, Date Added
Answer: B