Published May 28, 2026 | Version 1.0
Model Open
Water Quality Classification Model Lithuanian Lake Monitoring
Description
Random Forest Classifier trained to predict water quality class (Good/Moderate/Poor) of Lithuanian lakes based on 11 physicochemical measurements. Trained on National Lakes Monitoring Data by Aplinkos apsaugos agentūra. Achieves 91.9% accuracy. Developed for TU Wien Data Stewardship course 194.045, 2026S.
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Additional details
Related works
- Is derived from
- Dataset: https://test.dbrepo.tuwien.ac.at/database/13457a52-37f9-48d4-a078-6865e8d35981/table (URL)
- Is supplemented by
- Software: https://github.com/felixkodiyanpaul/Water-Quality-Analysis (URL)
- Dataset: 10.70124/htsbq-tkj76 (DOI)
Dates
- Issued
- 2026-05-29