Multi-Class Assessment Based on Random Forests
Today, many students are moving towards higher education courses that do not suit them and end up failing. The purpose of this study is to help provide counselors with better knowledge so that they can offer future students courses corresponding to their profile. The second objective is to allow the...
Main Authors: | Mehdi Berriri, Sofiane Djema, Gaëtan Rey, Christel Dartigues-Pallez |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-02-01
|
Series: | Education Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7102/11/3/92 |
Similar Items
-
Research on Feature Selection Methods based on Random Forest
by: Zhuo Wang
Published: (2023-01-01) -
Learning from High-Dimensional and Class-Imbalanced Datasets Using Random Forests
by: Barbara Pes
Published: (2021-07-01) -
Cotton Classification Method at the County Scale Based on Multi-Features and Random Forest Feature Selection Algorithm and Classifier
by: Hao Fei, et al.
Published: (2022-02-01) -
Graph Random Forest: A Graph Embedded Algorithm for Identifying Highly Connected Important Features
by: Leqi Tian, et al.
Published: (2023-07-01) -
Distance Correlation-Based Feature Selection in Random Forest
by: Suthakaran Ratnasingam, et al.
Published: (2023-08-01)