Research on Intellectual Dichotomiser 3 Decision Tree Algorithm Model for Financial Analysis of Colleges and Universities
نویسندگان
چکیده
The rapid development of college information construction has promoted the processing and analysis a large number data in system. Decision tree algorithm is often used field financial analysis, but it bias selection attributes. Aiming at defects decision attribute selection, ID3 selected for weighted improvement, optimized based on Synthetic Minority Oversampling Technique (SMOTE) Bagging to balance positive negative its training samples, thus obtaining DSB-ID3 model. Using this model analyze university, G value F are both about 0.78, recognition accuracy rate normal samples 0.7345, total 0.7893, which highest among four models. Compared with other models, designed study significantly improved classification performance, distribution most centralized, showing superior stability. experimental results show that effect best, shows stability data. Its performance potential optimization feasibility necessity improving it. From data, can be seen service life parameters obviously better than those commonly industry colleges universities. It from overall provides practical reference application greatly improves system analysis.
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ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2022
ISSN: ['2158-107X', '2156-5570']
DOI: https://doi.org/10.14569/ijacsa.2022.0131291