classifier calculates without finding an end for data sets where it worked before. cefhelper.exe consuming RAM.

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Hi everyone,
I´m working on a classification task using the classification learner, after generating a feature table including labels with Matlab. Very basic, just like 27 features and 2 or 3 classes.
I did that a lot of times for several data sets and it always worked until - I don´t know what happened. Are there any reasons, why Matlab might not finish calculating? Any properties I can try changing? I´m sure, that I use the same properties in the Classifier, but is there sth in the background, that influences the process?
I hope my question is not to unspecific, I know it might be hard to find out, without seeing my system, but I thought maybe somebody already had a similar problem. I can provide additional information, if that helps.
I already cleared some of the stuff on the hard disk to have more space. Nothing changed.
Thanks in advance, best regards,
Stef
  7 个评论
Stefanie Hörnlein
Stefanie Hörnlein 2023-2-12
编辑:Stefanie Hörnlein 2023-2-12
Hi star strider,
thank you for your comment. I added the mat-table that I use for the classification task. It really doesn´t matter which model I choose, it starts to lag right from the beginning, I choose the table, the label and let the first model, that is automatically chosen - Fine tree, train. It´s opening, starting the parallel pool, at least it tells me, it does and then the hourglass is turning forever.
As I said, I don´t think it is in anyway related to my code (that works fine) or the way I use the classification learner, because all that worked fine - even, when I trained all possible models at once or used other data.
It must be something with the cefhelper.exe or java or I don´t know. I found this problem in other conversations but there was never a solution. I don´t really recall what I changed on my PC so I thought maybe someone had the same or a similar problem and fixed it. A similar thing seems to happen with adobe creative cloud (says the internet).
Thanks in advance!
Stef
Stefanie Hörnlein
Stefanie Hörnlein 2023-2-12
编辑:Stefanie Hörnlein 2023-2-12
Edit: this is the program consuming my RAM / CPU, it´s located it C:\Program Files\MATLAB\R2021a\bin\win64 - Same with 2022a.
It´s packed to make it possible to upload the file.

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采纳的回答

Drew
Drew 2023-2-13
As a PhD student, you likely have access to the following through your university:
(1) MATLAB online at matlab.mathworks.com
(2) MATLAB official support.
So, you can run classification experiments using MATLAB online at matlab.mathworks.com, and you can also contact mathworks support about the issue on your machine.
Regarding running experiments on matlab.mathworks.com, I just loaded your classtask_Stef.mat into classificationLearner on matlab.mathworks.com, and the basic default tree model trained very quickly without any issues. The MATLAB version on MATLAB online today was '9.13.0.2145394 (R2022b) Update 3'. A screenshot is shown below. Given there were only 29 observations in the data, I chose leave-one-out cross validation (29 folds) for this small experiment.
  2 个评论
Stefanie Hörnlein
Stefanie Hörnlein 2023-2-14
编辑:Stefanie Hörnlein 2023-2-14
Hi Drew,
thank you for your extended answer. I already contacted the support before.
I didn´t know, I can use Matlab online, so thank you so much! At first it didn´t work - did the same as before, but now I tried again, I really didn´t change anything, but it worked. Now I cross fingers, it stays like this. -.-
Thanks again,
Stef

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