Interpretable MOOC dropout prediction using different Ensemble Methods and XAI
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.
Main Authors: | Khan, Labib Hasan, Haque, Mohammed Ashfaqul, Ibrahim, Esaba Ahnaf |
---|---|
Drugi avtorji: | Mostakim, Moin |
Format: | Thesis |
Jezik: | English |
Izdano: |
Brac University
2023
|
Teme: | |
Online dostop: | http://hdl.handle.net/10361/19395 |
Podobne knjige/članki
-
MOOC mania: implications and collaboration for english language teachers
od: Miraj, Asek Amin, et al.
Izdano: (2018) -
Explainable artificial intelligence and model calibration for water quality prediction
od: Hellen, Nakayiza
Izdano: (2022) -
Bank loan prediction using machine learning
od: Mahottam, Parthosarothi, et al.
Izdano: (2023) -
Chronic kidney disease detection using ensemble classi ers and feature set reduction
od: Shawan, Naveed Rahman, et al.
Izdano: (2019) -
Heart attack prediction using machine learning and XAI
od: Ahsan, Mumtahina
Izdano: (2023)