Which two modules can you users?

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 modules can you users? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
A . Execute Python Script
B . Export Count Table
C . Convert to Indicator Values
D . Summarize Data
E . Compute linear Correlation

View Answer

Answer: B,E

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.

E: 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.

Reference:

https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/export-count-table

https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/summarize-data