When you implement the Clean Missing Data module to a set of data, the Minimum missing value ratio and Maximum missing value ratio are two important factors in replacing the missing values.If the Maximum missing value is set to 1, what does it mean? [ select the one that suits best]
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A. B. C. D. E.Correct Answer: E
Maximum missing value ratio is specified as the maximum number of missing values that can be present for the operation that is to be executed.
By default, the Maximum missing value ratio is set to 1 which indicates that missing values will be cleaned even if 100% of the values in the column are missing.
Option A is incorrect.
The use of the word “Only When” does not rightly state the meaning.
Option B is incorrect.
Setting Minimum missing value ratio property to 0 actually means that missing values are cleaned even if there is only one missing value.
Option C is incorrect.
Minimum and Maximum missing value ratios talk only about minimum and maximum ratios, not a specific number.
Option D is incorrect.The given statement is not right.
Option E is correct.
Setting the Maximum missing value ratio to 1 indicates that missing values will be cleaned even if 100% of the values in the column are missing.
To know more about the clean missing Data Module, please visit the below-given link:
The Clean Missing Data module is used to replace or remove missing values from a dataset. The module allows you to specify the minimum and maximum missing value ratios, which determine when the missing values are replaced.
The Maximum missing value ratio is the maximum proportion of missing values that are allowed in a column before the entire column is removed or replaced. A value of 1 indicates that the column will be removed or replaced if all the values are missing, which means that the column has no useful information.
Therefore, the correct answer is A. missing values are cleaned only when 100% of the values in the column are missing. This means that the column will only be removed or replaced if it contains no useful information, which is determined by the absence of any valid values.
In contrast, the other answer options are incorrect because:
B. missing values are cleaned even if there is only one missing value - this is not true since the maximum missing value ratio is set to 1, indicating that the column will only be removed if all the values are missing.
C. missing values are cleaned only when there is only one missing value - this is not true since the maximum missing value ratio is set to 1, indicating that the column will only be removed if all the values are missing.
D. missing values won't be cleaned - this is not true since the Clean Missing Data module is specifically designed to replace or remove missing values.
E. missing values are cleaned even if 100% of the values in the column are missing - this is not true since the maximum missing value ratio is set to 1, indicating that the column will only be removed if all the values are missing.