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Difference between Information Gain and Mutual Information for feature selection


What is dimensionality reduction? What is the difference between feature selection and extraction?feature selection techniquesFeature selection with linear interaction between variables and correlation with categorical response variablehow does feature selection for random forest helpIs feature selection necessary?Visualizing mutual information of each convolution layer for image classification problemConcept of Mutual InformationFeature selection through Random Forest and Principal Component AnalysisFeature selection with information gain (KL divergence) and mutual information yields different resultsFeature selection using a filter for multiclass problem: What if many features are strongly predictive of few classes?













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$begingroup$


What is the difference between information gain and mutual information?



At this point, I understand that information gain is calculated between a random variable and target class for classification while mutual information is calculated between two random variables.



Does mutual information become the same as information when it is calculated between a random variable and target class?










share|improve this question







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Abhik Banerjee is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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$endgroup$
















    0












    $begingroup$


    What is the difference between information gain and mutual information?



    At this point, I understand that information gain is calculated between a random variable and target class for classification while mutual information is calculated between two random variables.



    Does mutual information become the same as information when it is calculated between a random variable and target class?










    share|improve this question







    New contributor




    Abhik Banerjee is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$














      0












      0








      0





      $begingroup$


      What is the difference between information gain and mutual information?



      At this point, I understand that information gain is calculated between a random variable and target class for classification while mutual information is calculated between two random variables.



      Does mutual information become the same as information when it is calculated between a random variable and target class?










      share|improve this question







      New contributor




      Abhik Banerjee is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      What is the difference between information gain and mutual information?



      At this point, I understand that information gain is calculated between a random variable and target class for classification while mutual information is calculated between two random variables.



      Does mutual information become the same as information when it is calculated between a random variable and target class?







      feature-selection mutual-information






      share|improve this question







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      Abhik Banerjee is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|improve this question







      New contributor




      Abhik Banerjee is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      share|improve this question




      share|improve this question






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      Abhik Banerjee is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      asked 32 mins ago









      Abhik BanerjeeAbhik Banerjee

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      Abhik Banerjee is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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