基于机器学习的性能预测模型计算优化

IF 0.4 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE International Journal of Data Mining Modelling and Management Pub Date : 2022-09-28 DOI:10.46610/jodmm.2022.v07i03.001

Jyoti Upadhyay, Farhat Anjum, Chetna Sahu

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引用次数: 0

摘要

提前预测学生的成功可以帮助教育机构提高教学质量。这项研究为预测学生的成功提供了洞见，不仅基于学术信息，还基于他们的社会结构和生活区域。本研究的目标是使用基于机器学习的模型(如决策树、线性回归和随机森林回归)来预测学生的成绩，并在这三种模型中选择最佳模型。

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Machine Learning-Based Computational Optimization of Performance Prediction Model

Predicting student success in advance can help educational institutions enhance their teaching quality. This research offers insight into predicting student success not only based on academic information but also on their social structure and living area. The goal of this study is to predict students' grades using machine learning based models such as Decision Tree, Linear Regressor, and Random Forest Regressor and to select the best model among these three.

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来源期刊

International Journal of Data Mining Modelling and Management COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

CiteScore

1.10

自引率

0.00%

发文量

期刊介绍： Facilitating transformation from data to information to knowledge is paramount for organisations. Companies are flooded with data and conflicting information, but with limited real usable knowledge. However, rarely should a process be looked at from limited angles or in parts. Isolated islands of data mining, modelling and management (DMMM) should be connected. IJDMMM highlightes integration of DMMM, statistics/machine learning/databases, each element of data chain management, types of information, algorithms in software; from data pre-processing to post-processing; between theory and applications. Topics covered include: -Artificial intelligence- Biomedical science- Business analytics/intelligence, process modelling- Computer science, database management systems- Data management, mining, modelling, warehousing- Engineering- Environmental science, environment (ecoinformatics)- Information systems/technology, telecommunications/networking- Management science, operations research, mathematics/statistics- Social sciences- Business/economics, (computational) finance- Healthcare, medicine, pharmaceuticals- (Computational) chemistry, biology (bioinformatics)- Sustainable mobility systems, intelligent transportation systems- National security