Automation Process for Learning Outcome Predictions
Minh-Phuong Han,
Trung-Tung Doan,
Minh-Hoan Pham
et al.
Abstract:This paper presents a comprehensive study on the evaluation of algorithms for automating learning outcome predictions, with a focus on the application of machine learning techniques. We investigate various predictive models (logistic regression, random forest, gaussian naive bayes, k-nearest neighbors and support vector regression) to assess their efficacy in forecasting student performance in educational settings. Our experimental approach involves the application of these models to predict the outcomes of a … Show more
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