简单机器学习架构即服务

Tora Fahrudin, D. Wijaya
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摘要

机器学习(ML)的发展始于20世纪50年代,已经取得了重大进展。许多领域已经使用机器学习作为信息系统元素,在协助数据处理、个性化、预测和执行发生事务的异常检测方面非常有用。随着技术的发展,基于云的机器学习技术正在成为易于实现和与各种其他技术平台连接的选择。本文以基于身高和体重的性别预测模型为例,提出了一种机器学习架构即服务(MLaaS)。结果表明,MLaaS体系结构实现简单,满足各种访问环境的需求,易于集中更新模型。我们的性别预测模型在准确率、召回率和f1评分方面达到了91.78%,特异性和NPV达到了91.8%,准确率达到了91.79%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simple Machine Learning Architecture as a Service
Machine learning (ML) development starting in the 1950s, has shown significant progress. Various fields have used machine learning as an information system element that is useful in assisting data processing, personalization, prediction, and performing anomaly detection of occurring transactions. Along with developments, cloud-based machine learning technology is becoming the choice for ease of implementation and connectivity with various other technology platforms. This paper proposes a machine learning architecture as a service (MLaaS) implemented in a case study of a gender prediction model based on height and weight. The results show that the MLaaS architecture is straightforward to implement and fits the needs of various access environments and the ease of updating models centrally. Our gender prediction model achieved 91.78% in the precision, recall, and F1-score, 91.8% in specificity and NPV, and 91.79% in accuracy.
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