Influence of Geospatial Features on Machine Learning Model Performance
Published: 8 May 2024| Version 1 | DOI: 10.17632/77gyfg9rwx.1
Contributor:
Andrew ToluTaiwoDescription
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