{"id":56105,"date":"2024-04-16T00:38:54","date_gmt":"2024-04-16T00:38:54","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=56105"},"modified":"2024-04-16T00:38:54","modified_gmt":"2024-04-16T00:38:54","slug":"which-of-the-following-function-can-be-used-to-identify-near-zero-variance-variables","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/which-of-the-following-function-can-be-used-to-identify-near-zero-variance-variables\/","title":{"rendered":"Which of the following function can be used to identify near zero-variance variables?"},"content":{"rendered":"

[amp_mcq option1=”zeroVar” option2=”nearVar” option3=”nearZeroVar” option4=”all of the mentioned” correct=”option4″]<\/p>\n

The correct answer is D. all of the mentioned.<\/p>\n

The function zeroVar<\/code> returns the number of variables with zero variance. The function nearVar<\/code> returns the number of variables with variance close to zero. The function nearZeroVar<\/code> returns the number of variables with variance very close to zero.<\/p>\n

To identify near zero-variance variables, we can use the following steps:<\/p>\n

    \n
  1. Calculate the variance of each variable.<\/li>\n
  2. Sort the variables by their variance.<\/li>\n
  3. Identify the variables with the lowest variance.<\/li>\n
  4. Check if the variance of these variables is close to zero.<\/li>\n<\/ol>\n

    If the variance of a variable is close to zero, then the variable is considered to be near zero-variance.<\/p>\n

    The following code snippet shows how to identify near zero-variance variables using the zeroVar<\/code>, nearVar<\/code>, and nearZeroVar<\/code> functions:<\/p>\n

    “`
    \nimport numpy as np<\/p>\n

    \n
    \n

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