Body: <p><a href="https://i.sstatic.net/RtQ7i.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/RtQ7i.png" alt="Column_A and Column_B is input columns" /></a></p>
  <p>As per Image we can see Column_A value is directly proportional to output,</p>
  <p>While Change in value of Column_B has no effects in output.</p>
  <p>So basically I want to know is there any algorithm where I can get weightage of columns which is affecting more to output than another.</p>
  <p>In this case we can see Column_A has more weightage as change in Column_A value will lead to change in value of B.
  but in case of Column_B it will be no change.</p>
  <p>Expected Output:
  so is there any algorithm to detect this change something like it will give 100% to Column_A and 0% to Column_B</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2022-11-18T09:43:09.180Z
Comments.Text: Hi! I recommend searching for articles about "feature selection". This is what this process is usually called.
Comments.UserDisplayName: Stef
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2022-11-18T09:43:40.803Z
Comments.Text: Scikit-learn also has a submodule specifically for this: https://scikit-learn.org/stable/modules/feature_selection.html
Comments.UserDisplayName: Stef
Tags: <data-preprocessing><data-science><feature-selection><data-labelling>
Title: How to decide which column has more weightage to output
UserDisplayName: Marques
ThreadText: # How to decide which column has more weightage to output
  
  (Asked by: username_0 on 2022-11-18)
  
  [![Column_A and Column_B is input columns](https://i.sstatic.net/RtQ7i.png)](https://i.sstatic.net/RtQ7i.png)
  
  As per Image we can see Column\_A value is directly proportional to output,
  
  While Change in value of Column\_B has no effects in output.
  
  So basically I want to know is there any algorithm where I can get weightage of columns which is affecting more to output than another.
  
  In this case we can see Column\_A has more weightage as change in Column\_A value will lead to change in value of B.
  but in case of Column\_B it will be no change.
  
  Expected Output:
  so is there any algorithm to detect this change something like it will give 100% to Column\_A and 0% to Column\_B
  
  **Tags:** data-preprocessing, data-science, feature-selection, data-labelling
  
  > **Comments:**
  > **username_1**: Hi! I recommend searching for articles about "feature selection". This is what this process is usually called.  
  > **username_1**: Scikit-learn also has a submodule specifically for this: https://scikit-learn.org/stable/modules/feature_selection.html  
  
  ---
  
  ## 0 answers
  
  