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September 28, 2025Applied Mathematics and Nonlinear SciencesOpen Access

Research on Employment and Entrepreneurship Potential Mining and Cultivation Mechanism of College Students Based on Decision Tree Modeling

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The predictive model achieves an accuracy rate of over 80%, showcasing its reliability in assessing college students' potential.
Four main influencing factors identified include learning ability, practical ability, interpersonal handling ability, and vocational ability.
The decision tree C4.5 algorithm combined with post pruning enhances the classification rules for predicting student outcomes.
The established training mechanism aids college students in achieving successful employment and entrepreneurship based on these key factors.

Authors

YKYan KongJiangnan University

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Implication

Research demonstrates effective prediction of employment and entrepreneurship potential in college students, highlighting key factors affecting success.

Cite This Study

Yan Kong (2025) studied this question.

synapsesocial.com/papers/68d9051441e1c178a14f4ac3 https://doi.org/10.2478/amns-2025-1080

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Implication

Research demonstrates effective prediction of employment and entrepreneurship potential in college students, highlighting key factors affecting success.

Research on Employment and Entrepreneurship Potential Mining and Cultivation Mechanism of College Students Based on Decision Tree Modeling

Key Points

Discussion

Implication

Cite This Study

Research on Employment and Entrepreneurship Potential Mining and Cultivation Mechanism of College Students Based on Decision Tree Modeling

Key Points

Discussion

Implication

Cite This Study

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