| Issue |
E3S Web Conf.
Volume 275, 2021
2021 International Conference on Economic Innovation and Low-carbon Development (EILCD 2021)
|
|
|---|---|---|
| Article Number | 03056 | |
| Number of page(s) | 4 | |
| Section | Environmental Protection and Governance Innovation Technology Research | |
| DOI | https://doi.org/10.1051/e3sconf/202127503056 | |
| Published online | 21 June 2021 | |
Preliminary Investigation of the Integrated Evaluation Model based on Random Forest Method
1
Department of Public Administration, Chongqing Business Vocational College, Chongqing, China
2
Department of Publishing and Media, Chongqing Business Vocational College, Chongqing, China
*a 18854623@qq.com
b hgzhou2008@163.com
With the deepening of reforms, as the closing year of the “Modern Vocational Education System Construction Plan (2014-2020)”, it has witnessed the development of vocational education. Its development trend is “only specialization” and “light basic courses”. Currently, the random forest method is very popular. This method forms a “forest” by building many decision trees, and votes on multiple trees to make decisions. This method can improve the classification accuracy of new samples effectively and it is more suitable for the research proposed. Random forest evaluation model has three functions: formative, diagnostic and summative. This paper establishes a comprehensive evaluation model for basic courses to make the evaluation more standardized, comprehensive and operability. And this evaluation system can supervise all stages of teaching.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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