Comparative analysis of the performance of selected machine learning algorithms depending on the size of the training sample
The article presents an analysis of the effectiveness of selected machine learning methods: Random Forest (RF), Extreme Gradient Boosting (XGB), and Support Vector Machine (SVM) in the classification of land use and cover in satellite images. Several variants of each algorithm were tested, adopting...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-12-01
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| Series: | Reports on Geodesy and Geoinformatics |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/rgg-2024-0015 |
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