XG boosting evaluation.

<div><p>This study significantly contributes to the sphere of educational technology by deploying state-of-the-art machine learning and deep learning strategies for meaningful changes in education. The hybrid stacking approach did an excellent implementation using Decision Trees, Random...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Azhar Imran (17720751) (author)
مؤلفون آخرون:	Jianqiang Li (390212) (author), Ahmad Alshammari (20314622) (author)
منشور في:	2025
الموضوعات:	Science Policy Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified utility toward enhancement decision trees contribute caring learning atmosphere art machine learning strong robust techniques integrating notorious ml hybrid stacking approach deep learning strategies caring educational environment wide academic performance bagging xgboost algorithm educational data complexity driven educational transformation sentiment analysis within study significantly contributes academic performance driven strategies transformative approach sentiment analysis devise data considered robust educational setups educational leadership educational contexts educational challenges driven insights xlink "> would enhance teacher effectiveness sustainable improvement student adaptability several implications research puts random forests random forest particular student overall school obtained information model aggregation meaningful changes make modifications key dimensions integrating ai instructional strategy indeed puts improving adaptability huge potential great perspective gradient boosting future innovations
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XG boosting evaluation.

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