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NEW QUESTION: 1
展示を参照してください。 PC_1はFTPサーバーにパケットを送信しています。パケットがRouterAインターフェースFa0 / 0からRouterBに向かうときにパケットを考慮します。正しいフレームとパケットアドレスをテーブルの適切な場所にドラッグします。

Answer:
Explanation:

NEW QUESTION: 2
Which tool, that is available on Cisco.com, does Cisco use to succeed against the competition?
A. demonstrations
B. presentations
C. battlecards
D. data sheets
Answer: C

NEW QUESTION: 3
You are performing a filter based feature selection for a dataset 10 build a multi class classifies by using Azure Machine Learning Studio.
The dataset contains categorical features that are highly correlated to the output label column.
You need to select the appropriate feature scoring statistical method to identify the key predictors. Which method should you use?
A. Chi-squared
B. Kendall correlation
C. Person correlation
D. Spearman correlation
Answer: C
Explanation:
Explanation
Pearson's correlation statistic, or Pearson's correlation coefficient, is also known in statistical models as the r value. For any two variables, it returns a value that indicates the strength of the correlation Pearson's correlation coefficient is the test statistics that measures the statistical relationship, or association, between two continuous variables. It is known as the best method of measuring the association between variables of interest because it is based on the method of covariance. It gives information about the magnitude of the association, or correlation, as well as the direction of the relationship.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/filter-based-feature-selection
https://www.statisticssolutions.com/pearsons-correlation-coefficient/