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Shiny Apps for Teaching Machine Learning Concepts

Presented During: CS035 Education and Visualization Data Science Applications, Part 1

Conference: Symposium on Data Science and Statistics (SDSS) 2025

05/02/2025: 8:25 AM - 9:55 AM MDT
Lightning

Description

We will present several web-based, interactive apps designed to aid in the instruction of two key concepts in machine learning: Classification Metrics and the Bias-Variance Trade-Off. These apps are intended to improve student understanding and engagement with seemingly abstract machine learning concepts. They are designed for students from all backgrounds since they visually explore concepts without requiring any mathematical calculations or coding. Both apps are designed using the Shiny package in R and will be accessible via a web browser for interested audience members. In our lightning presentation, we will demonstrate the app functionality and briefly discuss how they can be used in and outside class.

Keywords

Statistics Education

Machine Learning Instruction

Shiny Apps

Bias-Variance Trade-Off

Classification Metrics

Presenting Author

Eric Friedlander

First Author

Eric Friedlander

CoAuthor

Abhishek Chakraborty, Lawrence University

Tracks

Education

Symposium on Data Science and Statistics (SDSS) 2025