Analysis of Conditions for Reliable Predictions by Moodle Machine Learning Models
In this paper the issue of bias-variance trade-off in building and operating Moodle Machine Learning (ML) models are discussed to avoid traps of get-ting unreliable predictions. Moodle is one of the world’s most popular open source Learning Management System (LMS) with millions of users. Although si...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Kassel University Press
2021-03-01
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| Series: | International Journal of Emerging Technologies in Learning (iJET) |
| Subjects: | |
| Online Access: | https://online-journals.org/index.php/i-jet/article/view/18347 |