Influence of Geospatial Features on Machine Learning Model Performance

Published: 8 May 2024| Version 1 | DOI: 10.17632/77gyfg9rwx.1
Contributor:
Andrew ToluTaiwo

Description

These Python codes implements machine learning models such as Multilinear Regression (MLR), Random Forest (RF), Support Vector Regression (SVR), and Artificial Neural Networks (ANN) in order to investigate the influence of geospatial features on model performance.

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Categories

Geographic Information System, Machine Learning, Geospatial Data Repository, Geoinformatics

Licence