CLASSify: A Web-Based Tool for Machine Learning

TL;DR

CLASSify is an open-source, web-based tool designed to make machine learning classification accessible by automating model training, visualization, data augmentation, and feature analysis for bioinformatics researchers.

Contribution

It introduces a user-friendly platform that simplifies classification tasks, supports synthetic data generation, and provides explainability features, filling a gap for non-expert users.

Findings

Supports both binary and multiclass classification

Provides synthetic data generation within the interface

Offers feature evaluation and explainability scores

Abstract

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.