You are analyzing a dataset by using Azure Machine Learning Studio. YOU need to generate a statistical summary that contains the p value and the unique value count for each feature column. Which two m

Question

Options

• AExecute Python Script
• BExport Count Table
• CConvert to Indicator Values
• DSummarize Data
• ECompute linear Correlation

• A
  6% (2)
• B
  66% (23)
• C
  9% (3)
• E
  20% (7)

Explanation

The Export Count Table module is provided for backward compatibility with experiments that use the Build Count Table (deprecated) and Count Featurizer (deprecated) modules. D: Summarize Data statistics are useful when you want to understand the characteristics of the complete dataset. For example, you might need to know: How many missing values are there in each column? How many unique values are there in a feature column? What is the mean and standard deviation for each column? The module calculates the important scores for each column, and returns a row of summary statistics for each variable (data column) provided as input. https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/export-count- https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/summarize-

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