How to determine the weights of features when calculating the weighted average?












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I have a dataset of Tweets along with their Retweet Counts and Favorite Counts. After extracting features from the Tweets, I am training a model to predict the Retweet Counts and Favorite Counts. I want to calculate a value called "Popularity" by taking the weighted average of Retweet Count and Favorite Count for each Tweet. For this, I need score values (or weights) for Retweet Count and Favorite Count. How do I determine these weights?
I am writing a research paper and need to justify why I assigned those weights for Retweet Count and Favorite Count.










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    $begingroup$


    I have a dataset of Tweets along with their Retweet Counts and Favorite Counts. After extracting features from the Tweets, I am training a model to predict the Retweet Counts and Favorite Counts. I want to calculate a value called "Popularity" by taking the weighted average of Retweet Count and Favorite Count for each Tweet. For this, I need score values (or weights) for Retweet Count and Favorite Count. How do I determine these weights?
    I am writing a research paper and need to justify why I assigned those weights for Retweet Count and Favorite Count.










    share|improve this question









    $endgroup$















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      0





      $begingroup$


      I have a dataset of Tweets along with their Retweet Counts and Favorite Counts. After extracting features from the Tweets, I am training a model to predict the Retweet Counts and Favorite Counts. I want to calculate a value called "Popularity" by taking the weighted average of Retweet Count and Favorite Count for each Tweet. For this, I need score values (or weights) for Retweet Count and Favorite Count. How do I determine these weights?
      I am writing a research paper and need to justify why I assigned those weights for Retweet Count and Favorite Count.










      share|improve this question









      $endgroup$




      I have a dataset of Tweets along with their Retweet Counts and Favorite Counts. After extracting features from the Tweets, I am training a model to predict the Retweet Counts and Favorite Counts. I want to calculate a value called "Popularity" by taking the weighted average of Retweet Count and Favorite Count for each Tweet. For this, I need score values (or weights) for Retweet Count and Favorite Count. How do I determine these weights?
      I am writing a research paper and need to justify why I assigned those weights for Retweet Count and Favorite Count.







      machine-learning data






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      asked 19 mins ago









      KabileshKabilesh

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