Extending the machine learning classifier to allow multi-class discrimination

Re: Extending the machine learning classifier to allow multi-class discrimination

by David Monllaó -
Number of replies: 0
Thanks for your work in GSOC 2019 Vlad.

Vlad's GSOC contribution to the Moodle LMS can be found in https://tracker.moodle.org/browse/MDL-58992. The machine learning layer in Moodle 3.8 has now multi-class capabilities, which means that the predictive models run by Moodle are able to classify students in more than 2 classes. An example of this would be a predictive model where students are classified in very low grade, low grade, average grade, high grade and very high grade. Until now we were only able to classify students in 2 classes (e.g. pass / fail).

Vlad not only completed his Google Summer of Code project, but also contributed a second improvement to the Moodle LMS: https://tracker.moodle.org/browse/MDL-66476, where he modified the algorithm that generates an overall score of a model.

It was a pleasure working with you Vlad.