Work

Comparative Study on the Performance of Imbalanced Multi-Class Classification Using Oversampling and Machine Learning

Year: 2025

Type: article

Source: 교육평가연구

DOI: 10.31158/jeev.2025.38.3.623

Authors: Korean Society for Educational Evaluation, Nayoung Kim

Language: English

Topic: Imbalanced Data Classification Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Quality education, Reduced inequalities

Open Access status: closed

OpenAlex ID: W4415043374

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