September 26, 2024
12:15 pm
Speaker:
Aaron Mullen, Institute for Biomedical Informatics, University of Kentucky
Where:
327 McVey Hall
(Zoom link: https://uky.zoom.us/j/82467171189)
Title:
CLASSify: A Self-Service Machine Learning Platform
Abstract:
CLASSify is a web-based tool developed at the Center for Applied AI to make machine learning easier and more accessible. It provides a platform to train and evaluate ML classification models on any tabular data without requiring any programming background. Users can simply upload their dataset to the site, choose the training parameters, and the job will be sent off to train all chosen models and provide results in the form of tables and visualizations. CLASSify also provides options for synthetic data generation to bolster imbalanced class labels or create entirely new datasets, as well as explainability scores that provide insight into which features of the data are most important to the models’ predictions. CLASSify is an all-in-one machine learning tool that allows researchers to easily and quickly compare models, gather results, and download any generated artifacts for later use.
