Classifier Selection and Ensemble Model for Multi-class Imbalance Learning in Education Grants Prediction
Author:
Affiliation:
1. College of Computer Science and Technology, Xi’an University of Science and Technology, Xi’an, China
2. School of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an, China
Funder
Natural Science Foundation of Shaanxi Province
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
Artificial Intelligence
Link
https://www.tandfonline.com/doi/pdf/10.1080/08839514.2021.1877481
Reference38 articles.
1. Analyzing undergraduate students' performance using educational data mining
2. Educational Data Mining: An Advance for Intelligent Systems in Education
3. An empirical comparison on state-of-the-art multi-class imbalance learning algorithms and a new diversified ensemble learning scheme
4. Classification of lung cancer using ensemble-based feature selection and machine learning methods
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