Confusion matrix of the proposed algorithm and state of the art (part 1).

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Meshari Alazmi (452881) (author)
مؤلفون آخرون:	Nasir Ayub (17200014) (author)
منشور في:	2025
الموضوعات:	Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified several chinese institutions recursive feature eliminatio providing personalized support predicting student performance performance level demonstrated logarithmic loss relative improved normalization methods enhancing academic performance confusion matrices display combined correlation filtering current research provides effixnet framework offers directed training support full test dataset developed model showed 8 %, f1 educational data grows educational research developed model big dataset 1 %, test split test results proposed effixnet effixnet value educational domain various metrics tested using study develops stability selection results reported represents one representative subset reliable optimization refined version potential applications mutual information missing values memory usage learning approaches key insights including accuracy impactful features hyperparameter optimization higher education high schools efficientnet augmented efficient solution early intervention dynamic convolutions
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