leptv/phosphorus_random_forest_model: Random Forest modeling code with groundwater dataset

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: leptv
DOI: 10.5281/zenodo.18991020
Cited by: 0

Abstract

This release includes a Python script in Jupyter notebook implementing a Random Forest model to analyze groundwater phosphorus data, along with the dataset used in the analysis. The code script allows users to explore model results, and generate plots of feature importance, SHAP analysis, and partial dependence plots.

Fields of Study & Subjects

Water Quality and Pollution Assessment Hydrological Forecasting Using AI Water Quality and Resources Studies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 March 2026
Language
EN