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) ?
===============
weka cross-validation test-data
add a comment |
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) ?
===============
weka cross-validation test-data
add a comment |
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) ?
===============
weka cross-validation test-data
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
weka cross-validation test-data
asked Nov 9 at 7:56
user3804152
226
226
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1 Answer
1
active
oldest
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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)
add a comment |
1 Answer
1
active
oldest
votes
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)
add a comment |
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)
add a comment |
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)
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)
answered Nov 9 at 11:29
user3804152
226
226
add a comment |
add a comment |
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