CLASSify:基于网络的机器学习工具。

Aaron D Mullen, Samuel E Armstrong, Jeff Talbert, V K Cody Bumgardner
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引用次数: 0

摘要

机器学习分类问题在生物信息学中非常普遍,但进行模型训练、优化和推理所需的技术知识可能会阻碍研究人员利用这一技术。本文介绍了一种用于机器学习分类问题的自动化工具,以简化训练模型和生成结果的过程,同时提供信息丰富的可视化效果和对数据的深入了解。该工具支持二元分类和多分类问题,并提供多种模型和方法。可在界面中生成合成数据,以填补缺失值、平衡类标签或生成全新的数据集。它还为特征评估提供支持,并生成可解释性分数,以显示哪些特征对输出影响最大。我们介绍的 CLASSify 是一款开源工具,可简化用户解决分类问题的体验,无需机器学习知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CLASSify: A Web-Based Tool for Machine Learning.

Machine learning classification problems are widespread in bioinformatics, but the technical knowledge required to perform model training, optimization, and inference can prevent researchers from utilizing this technology. This article presents an automated tool for machine learning classification problems to simplify the process of training models and producing results while providing informative visualizations and insights into the data. This tool supports both binary and multiclass classification problems, and it provides access to a variety of models and methods. Synthetic data can be generated within the interface to fill missing values, balance class labels, or generate entirely new datasets. It also provides support for feature evaluation and generates explainability scores to indicate which features influence the output the most. We present CLASSify, an open-source tool for simplifying the user experience of solving classification problems without the need for knowledge of machine learning.

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