学习模型的各个方面来预测巴西大学生的生活质量

Anais do XIX Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2022) Pub Date : 2022-11-28 DOI:10.5753/eniac.2022.227315

Pedro Francis Lopes, Amilton dos Santos Júnior, R. Azevedo, P. Dalgalarrondo, A. Fioravanti

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引用次数: 0

摘要

生活质量是衡量学生生活质量的重要指标。这项工作研究了基于其他答案和整体领域和平均分数预测whoqol - brief答案的模型的可行性。为此，我们使用了2017年至2018年期间对巴西本科生(UNICAMP)进行的广泛汇总的数据。我们还讨论了模型类型和超参数对模型评价指标的影响。最后，我们得出结论，有可能创建一个模型来预测自尊问题——这是与可用数据样本的平均领域得分最相关的。

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Aspects of a learned model to predict the quality of life of university students in Brazil

Quality of life is an essential metric for evaluating the well-being of students. This work investigates the viability of a model to predict a WHOQoL-Bref answer based on other answers and the overall domain and average scores. For that, we use data from an extensive pooling done with undergraduate students in Brazil (UNICAMP), gathered between 2017 and 2018. We also discuss model types and hyperparameter effects on model evaluation metrics. Finally, we conclude that it is possible to create a model to predict the esteem question - which is the most correlated with the average domain score with the data sample available.

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Anais do XIX Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2022)

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