Xgboost rank:ndcg learning per group or for all dataset












0












$begingroup$


I'm trying to implement xgboost with an objective of rank:ndcg



I want the target to be between 0-3.



In my data for most of the groups, there is only 1 event per group which his target is not 0.



I wonder if the model will learn different about this product when I put target value 3 (and not 1) when this is the only target that larger than 0 from products on a different group which got target value 1. or it is learning per group id and if the in the group there is only one target larger than 0, it doesn't care if it is 3 or 1









share









$endgroup$

















    0












    $begingroup$


    I'm trying to implement xgboost with an objective of rank:ndcg



    I want the target to be between 0-3.



    In my data for most of the groups, there is only 1 event per group which his target is not 0.



    I wonder if the model will learn different about this product when I put target value 3 (and not 1) when this is the only target that larger than 0 from products on a different group which got target value 1. or it is learning per group id and if the in the group there is only one target larger than 0, it doesn't care if it is 3 or 1









    share









    $endgroup$















      0












      0








      0





      $begingroup$


      I'm trying to implement xgboost with an objective of rank:ndcg



      I want the target to be between 0-3.



      In my data for most of the groups, there is only 1 event per group which his target is not 0.



      I wonder if the model will learn different about this product when I put target value 3 (and not 1) when this is the only target that larger than 0 from products on a different group which got target value 1. or it is learning per group id and if the in the group there is only one target larger than 0, it doesn't care if it is 3 or 1









      share









      $endgroup$




      I'm trying to implement xgboost with an objective of rank:ndcg



      I want the target to be between 0-3.



      In my data for most of the groups, there is only 1 event per group which his target is not 0.



      I wonder if the model will learn different about this product when I put target value 3 (and not 1) when this is the only target that larger than 0 from products on a different group which got target value 1. or it is learning per group id and if the in the group there is only one target larger than 0, it doesn't care if it is 3 or 1







      xgboost ranking ndcg





      share












      share










      share



      share










      asked 6 mins ago









      DkovaDkova

      1163




      1163






















          0






          active

          oldest

          votes











          Your Answer





          StackExchange.ifUsing("editor", function () {
          return StackExchange.using("mathjaxEditing", function () {
          StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
          StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
          });
          });
          }, "mathjax-editing");

          StackExchange.ready(function() {
          var channelOptions = {
          tags: "".split(" "),
          id: "557"
          };
          initTagRenderer("".split(" "), "".split(" "), channelOptions);

          StackExchange.using("externalEditor", function() {
          // Have to fire editor after snippets, if snippets enabled
          if (StackExchange.settings.snippets.snippetsEnabled) {
          StackExchange.using("snippets", function() {
          createEditor();
          });
          }
          else {
          createEditor();
          }
          });

          function createEditor() {
          StackExchange.prepareEditor({
          heartbeatType: 'answer',
          autoActivateHeartbeat: false,
          convertImagesToLinks: false,
          noModals: true,
          showLowRepImageUploadWarning: true,
          reputationToPostImages: null,
          bindNavPrevention: true,
          postfix: "",
          imageUploader: {
          brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
          contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
          allowUrls: true
          },
          onDemand: true,
          discardSelector: ".discard-answer"
          ,immediatelyShowMarkdownHelp:true
          });


          }
          });














          draft saved

          draft discarded


















          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f45553%2fxgboost-rankndcg-learning-per-group-or-for-all-dataset%23new-answer', 'question_page');
          }
          );

          Post as a guest















          Required, but never shown

























          0






          active

          oldest

          votes








          0






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes
















          draft saved

          draft discarded




















































          Thanks for contributing an answer to Data Science Stack Exchange!


          • Please be sure to answer the question. Provide details and share your research!

          But avoid



          • Asking for help, clarification, or responding to other answers.

          • Making statements based on opinion; back them up with references or personal experience.


          Use MathJax to format equations. MathJax reference.


          To learn more, see our tips on writing great answers.




          draft saved


          draft discarded














          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f45553%2fxgboost-rankndcg-learning-per-group-or-for-all-dataset%23new-answer', 'question_page');
          }
          );

          Post as a guest















          Required, but never shown





















































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown

































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown







          Popular posts from this blog

          Erzsébet Schaár

          Ponta tanko

          Facebook