首页|Studies from Fujian Normal University Yield New Data on Machine Learning (A Nove l Student Achievement Prediction Model Based On Bagging-cart Machine Learning Al gorithm)
Studies from Fujian Normal University Yield New Data on Machine Learning (A Nove l Student Achievement Prediction Model Based On Bagging-cart Machine Learning Al gorithm)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on Machine Learning have be en published. According to news reporting originating from Fujian, People's Repu blic of China, by NewsRx editors, the research stated, "The learning effect of s tudents is crucial for assessing teaching quality, thus playing a significant ro le in teaching management. Predicting student achievement is a major challenge i n understanding the learning effect of students." Our news editors obtained a quote from the research from Fujian Normal Universit y, "Currently, many studies have utilized machine learning methods such as the d ecision tree algorithms C4.5, ID3, CART, J48, random forest, and others. However , few studies have explored the use of the Bagging algorithm in this field. Ther efore, this study proposes a classification prediction method for student achiev ement based on the Bagging-CART algorithm. Initially, the student achievement da ta is preprocessed, and the Apriori method is applied to mine the strongly assoc iated dataset. The optimal hyper-parameters are determined through grid search t o train and predict the Bagging-CART algorithm. Furthermore, the CART, J48, and Bagging-CART algorithms are trained, and their evaluation indicators are compare d using a confusion matrix. The results indicate that the Bagging-CART model ach ieves an accuracy of 98.16%, a recall rate of 91.80%, a precision of 90.83%, and an F1 score of 94.87%. In c omparison, the accuracy, precision, and F1 scores are higher than those obtained with CART and J48. Although the recall rate is slightly lower than that of CART by 0.26%, it is 0.52% higher than that of J48."
FujianPeople's Republic of ChinaAsiaAlgorithmsCyborgsEmerging TechnologiesMachine LearningFujian Normal Un iversity
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