XGBoost-importance feature importance ranking chart.

<p>XGBoost-importance feature importance ranking chart.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Hui Mao (115181) (author)
مؤلفون آخرون:	Ribesh Khanal (10231425) (author), ChengZhang Qu (21376633) (author), HuaFeng Kong (21376636) (author), TingYao Jiang (21376639) (author)
منشور في:	2025
الموضوعات:	Science Policy Biological Sciences not elsewhere classified transform predictive analytics superior collaborative skills significantly boosts outcomes interpretable ai techniques framework enables educators exhibits counterproductive effects early warning systems balance direct instruction six instructional predictors model multivariate relationships active learning modalities instructional design machine learning learning behaviors achievement relationships study addresses results advocate pedagogical environments outcome variable gamification frequency four behavioral enhanced environments complex interplay bivariate correlations behavioral metrics assignment frequency achievers demonstrate
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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