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NEW QUESTION: 1
What is the name of the statistical method that helps identify which factors may influence specific variables of a product or process under development or in production?
A. Failure modes and effects analysis
B. Quality checklist
C. Risk analysis
D. Design of experiments
Answer: D
NEW QUESTION: 2
In the procedure of creating a Business Configuration Object, the step in which you have to Define Fields of the Business Configuration Object, for each field you define, which of the following is the data you enter and click Next ?
There are 3 correct answers to this question.
A. Field name
B. Digit
C. Field description
D. Fall type
E. Decimal
Answer: A,C,E
NEW QUESTION: 3
どの2つの特性が、ネットワーク設計に対するトップダウンアプローチの利点ですか？ （2つ選択）
A. 結果としてのデザインは、現在および将来の両方の要件を満たすことができます
B. 結果として得られたデザインは、組織のビジネス要件に合わせて最適化されています。
C. 最初の必要性分析を必要としない
D. 一般的に最速のアプローチです
E. 設計者は、プロジェクトが終了するまでテストを遅らせることができます
Answer: B,C
NEW QUESTION: 4
You need to select a feature extraction method.
Which method should you use?
A. Kendall correlation
B. Permutation Feature Importance
C. Mood's median test
D. Mutual information
Answer: A
Explanation:
In statistics, the Kendall rank correlation coefficient, commonly referred to as Kendall's tau coefficient (after the Greek letter t), is a statistic used to measure the ordinal association between two measured quantities.
It is a supported method of the Azure Machine Learning Feature selection.
Scenario: When you train a Linear Regression module using a property dataset that shows data for property prices for a large city, you need to determine the best features to use in a model. You can choose standard metrics provided to measure performance before and after the feature importance process completes. You must ensure that the distribution of the features across multiple training models is consistent.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/feature-selection-modules
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