Predicting and Interpreting Students Performance using Supervised Learning and Shapley Additive Explanations
abstract: Due to large data resources generated by online educational applications, Educational Data Mining (EDM) has improved learning effects in different ways: Students Visualization, Recommendations for students, Students Modeling, Grouping Students, etc. A lot of programming assignments have th...
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| Format: | Dissertation |
| Language: | English |
| Published: |
2019
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| Online Access: | http://hdl.handle.net/2286/R.I.53452 |