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 p...

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Bibliographic Details
Published in:arXiv.org 2023-10
Main Authors: Mullen, Aaron D, Armstrong, Samuel E, Talbert, Jeff, Cody Bumgardner, V K
Format: Article
Language:English
Subjects:
Bioinformatics
Classification
Machine learning
Optimization
Synthetic data
Training
User experience
User interfaces
Online Access:Get full text
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Summary: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.
ISSN:2331-8422