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Hi,
kmeans is clustering, meaning its an unsupervised method. How do you define a confusion matrix here?
Best,
Martin
hello,
So sorry I mixed things up, what I was doing was classification matrix (I later did K-Means but not for this process). But my question is why I could my cross-validation tool (during classification) not carry out my test and training set(at the same time) and bring out a confusion matrix table. When I tried looking for the performance vector (in my testing panel) from the performance tool, it seem not to bring out the performance vector option so that I can see the confusion matrix. (I hope this is clear).
I have attached the process again.
Best Regards,
Godwin
So sorry I mixed things up, what I was doing was classification matrix (I later did K-Means but not for this process). But my question is why I could my cross-validation tool (during classification) not carry out my test and training set(at the same time) and bring out a confusion matrix table. When I tried looking for the performance vector (in my testing panel) from the performance tool, it seem not to bring out the performance vector option so that I can see the confusion matrix. (I hope this is clear).
I have attached the process again.
Best Regards,
Godwin
Hello,
Thanks for the speedy response.
And yes that works for me if I want to get only the confusion matrix but then my professor's version can get the matrix even when he connects mod (instead of per) to res (and then right-click the performance inside the cross-validation to see the performance vector but I can't see it in mine when I follow the same steps).
I hope it is clear.
Godwin
Thanks for the speedy response.
And yes that works for me if I want to get only the confusion matrix but then my professor's version can get the matrix even when he connects mod (instead of per) to res (and then right-click the performance inside the cross-validation to see the performance vector but I can't see it in mine when I follow the same steps).
I hope it is clear.
Godwin
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Hi,
try to turn off the parallelization of cross validation. Then you can see the last iteration's value.
Best,
Martin