A Qualitative Analysis and Statistics of Educational Evaluation Results Based on Decision Tree Algorithm

This paper has surveyed on education evaluation method and technology at home and abroad, and also researched on the statistics and analysis of internal education evaluation information processing technology. In view of the evaluation index system of secondary vocational education, it has established educational evaluation and analysis of statistical models based on decision tree algorithm, and also made a qualitative analysis and statistics of educational evaluation results, thereby providing the basis so as to obtain a qualitative analysis of educational evaluation in school, meanwhile, it provides a broad development prospects for the qualitative analysis quantitative analysis of educational evaluation results.

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Commercial Bank Credit Risk Evaluation Method Based on Decision Tree Algorithm

2015 Seventh International Conference on Measuring Technology and Mechatronics Automation ◽

10.1109/icmtma.2015.75 ◽

2015 ◽

Cited By ~ 2

Author(s):

Guo Wei ◽

Song Yingjie ◽

Yan Xi Mu

Keyword(s):

Decision Tree ◽

Credit Risk ◽

Commercial Bank ◽

Risk Evaluation ◽

Evaluation Method ◽

Bank Credit ◽

Decision Tree Algorithm ◽

Tree Algorithm

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Analysis of entrepreneurship education in colleges and based on improved decision tree algorithm and fuzzy mathematics

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189210 ◽

2020 ◽

pp. 1-13

Author(s):

Li Mao ◽

Wanhong Zhang

Keyword(s):

Decision Tree ◽

Evaluation System ◽

Entrepreneurship Education ◽

Colleges And Universities ◽

Evaluation Index System ◽

Fuzzy Mathematics ◽

Decision Tree Algorithm ◽

Tree Algorithm ◽

Government Education ◽

Innovation And Entrepreneurship

In order to improve the performance of entrepreneurship and innovation education in colleges and universities, this study attempts to build an evaluation system and model of innovation and entrepreneurship in colleges and universities to provide a complete and practical tool for government education authorities and universities to evaluate the implementation of innovation and entrepreneurship education. In this research, decision tree and fuzzy mathematics are used as the basis of the model algorithm, and the algorithm is improved based on the analysis of traditional algorithms. Moreover, based on the improved decision tree algorithm, an evaluation index system for university innovation and entrepreneurship education is constructed. After determining the evaluation indicators of innovation and entrepreneurship education in colleges and universities, this study uses several universities as examples to analyze and define the definitions of various indicators. In addition, this study statistically analyzes the results of entrepreneurship and innovation education in colleges and universities through simulation. The research shows that the model proposed in this paper has a certain practical effect, and based on the simulation results, this study makes several suggestions.

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