ElectroML: An Open-Source Web Platform for Machine Learning-Based Analyte Concentration Prediction in Electrochemical Sensing
Abstract
ElectroML is a web-based platform for automated preprocessing, feature extraction, machine learning model training, and concentration prediction from cyclic voltammetry (CV) and differential pulse voltammetry (DPV) data. The platform integrates 14 regression algorithms with Optuna-based hyperparameter optimization and provides cross-validated performance metrics through an interactive browser interface.
Fields of Study & Subjects
Electrochemical Analysis and Applications
Electrochemical sensors and biosensors
Machine Learning in Materials Science
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 12 March 2026
- Language
- EN