Education
Predictive analysis of college students' academic procrastination behavior based on a decision tree model
P. Song, X. Liu, et al.
This insightful study explores the key predictive factors of academic procrastination among college students in China during the COVID-19 pandemic, revealing critical insights into subjective well-being, smartphone addiction, and negative emotions. Conducted by a team of experts, this research utilizes a decision tree model to achieve an impressive accuracy of 85.78%, shedding light on strategies to tackle procrastination effectively.
Playback language: English
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