WEKA: Print the Indexes of Test data instances w.r.t original data at the time of cross validation











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I have a query about the indexes of test data instances chosen by weka at the time of cross validation. How to print the indexes of the test data instances which are being evaluated ?



==================================



I have chosen:



Dataset : iris.arff



Total instances : 150



Classifier : J48



cross validation: 10 fold



I have also made output prediction as "PlainText"



=============



In the output window I can see like this :-



inst# actual predicted error prediction



1 3:Iris-virginica 3:Iris-virginica 0.976



2 3:Iris-virginica 3:Iris-virginica 0.976



3 3:Iris-virginica 3:Iris-virginica 0.976



4 3:Iris-virginica 3:Iris-virginica 0.976



5 3:Iris-virginica 3:Iris-virginica 0.976



6 1:Iris-setosa 1:Iris-setosa 1



7 1:Iris-setosa 1:Iris-setosa 1



....
...
...



Total 10 test data set.(15 instances in each).



======================



As WEKA uses startified cross validation, instances in the test data sets are randomly choosen.



So, How to print the indexes of test data w.r.t the data in original file?



i.e



inst# actual predicted error prediction



1 3:Iris-virginica 3:Iris-virginica 0.976



This result is for which instance in main data (among total 50 Iris-virginica) ?



===============










share|improve this question


























    up vote
    1
    down vote

    favorite












    I have a query about the indexes of test data instances chosen by weka at the time of cross validation. How to print the indexes of the test data instances which are being evaluated ?



    ==================================



    I have chosen:



    Dataset : iris.arff



    Total instances : 150



    Classifier : J48



    cross validation: 10 fold



    I have also made output prediction as "PlainText"



    =============



    In the output window I can see like this :-



    inst# actual predicted error prediction



    1 3:Iris-virginica 3:Iris-virginica 0.976



    2 3:Iris-virginica 3:Iris-virginica 0.976



    3 3:Iris-virginica 3:Iris-virginica 0.976



    4 3:Iris-virginica 3:Iris-virginica 0.976



    5 3:Iris-virginica 3:Iris-virginica 0.976



    6 1:Iris-setosa 1:Iris-setosa 1



    7 1:Iris-setosa 1:Iris-setosa 1



    ....
    ...
    ...



    Total 10 test data set.(15 instances in each).



    ======================



    As WEKA uses startified cross validation, instances in the test data sets are randomly choosen.



    So, How to print the indexes of test data w.r.t the data in original file?



    i.e



    inst# actual predicted error prediction



    1 3:Iris-virginica 3:Iris-virginica 0.976



    This result is for which instance in main data (among total 50 Iris-virginica) ?



    ===============










    share|improve this question
























      up vote
      1
      down vote

      favorite









      up vote
      1
      down vote

      favorite











      I have a query about the indexes of test data instances chosen by weka at the time of cross validation. How to print the indexes of the test data instances which are being evaluated ?



      ==================================



      I have chosen:



      Dataset : iris.arff



      Total instances : 150



      Classifier : J48



      cross validation: 10 fold



      I have also made output prediction as "PlainText"



      =============



      In the output window I can see like this :-



      inst# actual predicted error prediction



      1 3:Iris-virginica 3:Iris-virginica 0.976



      2 3:Iris-virginica 3:Iris-virginica 0.976



      3 3:Iris-virginica 3:Iris-virginica 0.976



      4 3:Iris-virginica 3:Iris-virginica 0.976



      5 3:Iris-virginica 3:Iris-virginica 0.976



      6 1:Iris-setosa 1:Iris-setosa 1



      7 1:Iris-setosa 1:Iris-setosa 1



      ....
      ...
      ...



      Total 10 test data set.(15 instances in each).



      ======================



      As WEKA uses startified cross validation, instances in the test data sets are randomly choosen.



      So, How to print the indexes of test data w.r.t the data in original file?



      i.e



      inst# actual predicted error prediction



      1 3:Iris-virginica 3:Iris-virginica 0.976



      This result is for which instance in main data (among total 50 Iris-virginica) ?



      ===============










      share|improve this question













      I have a query about the indexes of test data instances chosen by weka at the time of cross validation. How to print the indexes of the test data instances which are being evaluated ?



      ==================================



      I have chosen:



      Dataset : iris.arff



      Total instances : 150



      Classifier : J48



      cross validation: 10 fold



      I have also made output prediction as "PlainText"



      =============



      In the output window I can see like this :-



      inst# actual predicted error prediction



      1 3:Iris-virginica 3:Iris-virginica 0.976



      2 3:Iris-virginica 3:Iris-virginica 0.976



      3 3:Iris-virginica 3:Iris-virginica 0.976



      4 3:Iris-virginica 3:Iris-virginica 0.976



      5 3:Iris-virginica 3:Iris-virginica 0.976



      6 1:Iris-setosa 1:Iris-setosa 1



      7 1:Iris-setosa 1:Iris-setosa 1



      ....
      ...
      ...



      Total 10 test data set.(15 instances in each).



      ======================



      As WEKA uses startified cross validation, instances in the test data sets are randomly choosen.



      So, How to print the indexes of test data w.r.t the data in original file?



      i.e



      inst# actual predicted error prediction



      1 3:Iris-virginica 3:Iris-virginica 0.976



      This result is for which instance in main data (among total 50 Iris-virginica) ?



      ===============







      weka cross-validation test-data






      share|improve this question













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      asked Nov 9 at 7:56









      user3804152

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          down vote



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          After a lot of search, I have found that the below youtube video is helpful for the above problem.



          Hope this will be helpful for any future visitor with same queries.



          Weka Tutorial 34: Generating Stratified Folds (Data Preprocessing)






          share|improve this answer





















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            1 Answer
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            active

            oldest

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            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes








            up vote
            0
            down vote



            accepted










            After a lot of search, I have found that the below youtube video is helpful for the above problem.



            Hope this will be helpful for any future visitor with same queries.



            Weka Tutorial 34: Generating Stratified Folds (Data Preprocessing)






            share|improve this answer

























              up vote
              0
              down vote



              accepted










              After a lot of search, I have found that the below youtube video is helpful for the above problem.



              Hope this will be helpful for any future visitor with same queries.



              Weka Tutorial 34: Generating Stratified Folds (Data Preprocessing)






              share|improve this answer























                up vote
                0
                down vote



                accepted







                up vote
                0
                down vote



                accepted






                After a lot of search, I have found that the below youtube video is helpful for the above problem.



                Hope this will be helpful for any future visitor with same queries.



                Weka Tutorial 34: Generating Stratified Folds (Data Preprocessing)






                share|improve this answer












                After a lot of search, I have found that the below youtube video is helpful for the above problem.



                Hope this will be helpful for any future visitor with same queries.



                Weka Tutorial 34: Generating Stratified Folds (Data Preprocessing)







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 9 at 11:29









                user3804152

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