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dpuenteramirez / Semisupervised-learning-and-instance-selection-methods

TFG - Semisupervised learning and instance selection methods
https://dpuenteramirez.github.io/Semisupervised-learning-and-instance-selection-methods/
BSD 3-Clause "New" or "Revised" License
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Create Rank-Based Statistics #218

Closed dpuenteramirez closed 2 years ago

alvarag commented 2 years ago

Try to use this tool, it looks perfect for what we are looking for https://www.theoj.org/joss-papers/joss.02173/10.21105.joss.02173.pdf

Regarding statistical tests, if you have time and you want to learn I have found these slides from Granada's Professors (Salva and Paco) that are pretty dense but quite informative. There are A LOT! Be careful with them ;) https://sci2s.ugr.es/sites/default/files/files/TutorialsAndPlenaryTalks/INIT-AERFAI-Course-Statistical_Analysis_of_Experiments.pdf

dpuenteramirez commented 2 years ago

I will look into it later today, thanks @alvarag!

dpuenteramirez commented 2 years ago

https://github.com/hfawaz/cd-diagram

alvarag commented 2 years ago

I believe that the best option would be to use the own Scikit-learn implementation, but I have to work a bit around it to make it easier to you:

https://github.com/maximtrp/scikit-posthocs

dpuenteramirez commented 2 years ago

I have been looking around for them, but could not find anything, I guess my Googling skills are not as on point as I thought.

Anyway, I appreciate it, when a demo or similar is ready let me know. In the meantime I will keep trying to figure it out which rank implementation is OK to work with using the Keel application.

Thanks @alvarag!