Hi.
I am trying to classify students' performance (pass or fail) utilizing their online traces when accessing a webpage of an online course.
My dataset has 100 rows (one per student) and 11 columns. 10 columns for online behavior attributes (e.g. TotalLogins, TotalFilesAccessed, TotalForumPosts etc) and 1 (the last) column for the class (pass or fail).
StudentID,TotalLogins,TotalFilesAccessed,TotalForumPosts,...,Class
1,45,8,5,..., pass
2,53,12,3,...,fail
....
I can run and compare the classic classification algorithms on my dataset using the WEKA GUI.
I need to target my study towards time series classification, since the attribute values are accumulated over time.
1)How to shape a new dataset in order to contain the weekly values of the same attributes? For example:
StudentID, LoginsWeek1, LoginsWeek2, ...,LoginsWeekN, FilesAccessedWeek1, FilesAccessedWeek2, ..., FilesAccessedWeekN, ..., Class
2)Which steps to follow and which algorithm to use in the GUI to take advantage of the temporal structure of the new dataset?
Thanks.
T
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There is some info on this here: Cheers, Eibe On Mon, Apr 5, 2021 at 1:44 PM Theo <[hidden email]> wrote: Hi. I am trying to classify students' performance (pass or fail) utilizing their online traces when accessing a webpage of an online course. My dataset has 100 rows (one per student) and 11 columns. 10 columns for online behavior attributes (e.g. TotalLogins, TotalFilesAccessed, TotalForumPosts etc) and 1 (the last) column for the class (pass or fail). StudentID,TotalLogins,TotalFilesAccessed,TotalForumPosts,...,Class 1,45,8,5,..., pass 2,53,12,3,...,fail .... I can run and compare the classic classification algorithms on my dataset using the WEKA GUI. I need to target my study towards time series classification, since the attribute values are accumulated over time. 1)How to shape a new dataset in order to contain the weekly values of the same attributes? For example: StudentID, LoginsWeek1, LoginsWeek2, ...,LoginsWeekN, FilesAccessedWeek1, FilesAccessedWeek2, ..., FilesAccessedWeekN, ..., Class 2)Which steps to follow and which algorithm to use in the GUI to take advantage of the temporal structure of the new dataset? Thanks. T _______________________________________________ Wekalist mailing list -- [hidden email] Send posts to [hidden email] To unsubscribe send an email to [hidden email] To subscribe, unsubscribe, etc., visit https://list.waikato.ac.nz/postorius/lists/wekalist.list.waikato.ac.nz List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html |
Hi Eibe.
Thanks for your reply. And please accept my apology for my first post's format. Due to a mistype, all paragraph marks disappeared. So, everything was posted as a unique paragraph. I had already located and read the page you suggested. Unfortunately, I couldn't apply the advises in that post (and in the posts it contained) to my case. So, I would appreciate any further suggestions. For example, any web resource that it could guide me how to appropriately shape my dataset, would be a good starting point. Regards, Theo -- Sent from: https://weka.8497.n7.nabble.com/ _______________________________________________ Wekalist mailing list -- [hidden email] Send posts to [hidden email] To unsubscribe send an email to [hidden email] To subscribe, unsubscribe, etc., visit https://list.waikato.ac.nz/postorius/lists/wekalist.list.waikato.ac.nz List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html |
Hi again.
It seems that there are not any other replies for my post. Should I conclude that there are no other resources / documentation than those suggested by Eibe? Theo -- Sent from: https://weka.8497.n7.nabble.com/ _______________________________________________ Wekalist mailing list -- [hidden email] Send posts to [hidden email] To unsubscribe send an email to [hidden email] To subscribe, unsubscribe, etc., visit https://list.waikato.ac.nz/postorius/lists/wekalist.list.waikato.ac.nz List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html |
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I had totally forgotten about the RnnSequenceClassifier in WekaDeeplearning4j!
Cheers, Eibe > On 11/04/2021, at 7:57 PM, Theo <[hidden email]> wrote: > > Hi again. > It seems that there are not any other replies for my post. > Should I conclude that there are no other resources / documentation than > those suggested by Eibe? > Theo > > > > -- > Sent from: https://weka.8497.n7.nabble.com/ > _______________________________________________ > Wekalist mailing list -- [hidden email] > Send posts to [hidden email] > To unsubscribe send an email to [hidden email] > To subscribe, unsubscribe, etc., visit https://list.waikato.ac.nz/postorius/lists/wekalist.list.waikato.ac.nz > List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html Wekalist mailing list -- [hidden email] Send posts to [hidden email] To unsubscribe send an email to [hidden email] To subscribe, unsubscribe, etc., visit https://list.waikato.ac.nz/postorius/lists/wekalist.list.waikato.ac.nz List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html |
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