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Data · dataset · 2024

Modifying LandGEM model parameters using a machine learning method to improve the accuracy of landfill methane gas generation estimates in the U.S.

Listed in Teesside University Research Data Repository

Description

Three Python files for three different machine learning models with extensions .py Three Python files for Grid Search of three different machine learning models with extensions .py Three different machine learning models with extensions .pkl one file for standardizing the data utilized in the SVM model with extension .pkl An Excel file with two pages: one for the data used in the models and the other is the raw data

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Climate change science 74%
Provenance · 1 source records, 12 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/9dhv38zkft.28 d agoJSON v1
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