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ISSN 2575-6206
Technical Note
Vol. 8, Issue 1, 2024March 28, 2024 CDT

Machine Learning models and feature relevance for student grade prediction

Izhan Ali,
Machine Learning algorithmsArtificial IntelligenceLinear modelsDecision treesEnsemble learningStudent grade predictionFeature relevance in grade prediction
Copyright Logoccby-nc-sa-4.0 • https://doi.org/10.64336/001c.115815

Articles in Vol. 8, Issue 1, 2024

Vol. 8, Issue 1, 2024
  • Inhibitors of Mitogen-Activated Protein Kinase signaling transduction pathway are lethal to regenerating planarians
    Emily ScarrowPercival LiuDaniel FarberKeevan KearnsEve KolkerWilliam Wallace
  • The readability of online leukemia materials
    Elleanna Choe
  • Piezoelectric energy harvester structural optimization for improving output characteristics in road environment conditions
    Zhaparov Zhansar
  • Deep learning for lung cancer detection and classification in CT scans
    Shreya Pawar
  • A decision tree classifier algorithm for the automated analysis of electrocardiogram signals to identify heart arrythmias.
    Mila Zavadjil
  • YAP1 attenuation and its effect on cancer proliferation
    Zaina Khan
  • A comparative analysis of generative models for terrain generation in open-world video games
    Ishaan Srivastava
  • Efficient court justice using auto-judgement with Artificial Intelligence
    Phoebe LiuJosephine LiuJoseph LiuEmily X Ding
  • Optimization of Convolutional Neural Network hyperparameters using Genetic Algorithms
    Nirmit Shah
  • Machine Learning models and feature relevance for student grade prediction
    Izhan Ali
Journal of High School Science
Ali, Izhan. 2024. “Machine Learning Models and Feature Relevance for Student Grade Prediction.” Journal of High School Science 8 (1): 180–97. https://doi.org/10.64336/001c.115815.
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