Published March 4, 2019
| Version v1
Dataset
Open
Analyzing the importance of spatial autocorrelation in hyperparameter tuning and performance estimation of machine-learning algorithms for spatial data.
Creators
- 1. Friedrich-Schiller-University Jena
- 2. NEIKER Tecnalia
- 3. TU Dortmund
Description
This repository will contain the research compendium of our work on comparing algorithms across different resampling settings.
Files
atlas-climatico.zip
Files
(5.3 GB)
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md5:15d998deb8e419f347059a527c7035a5
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md5:f4b54c461cf4a1f3f3ddcc8e63896d6b
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md5:45847d43dbaf34717efa2ed8c1b44113
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md5:b6e7828a37927ce03771760bcaa9f12a
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md5:8b591041e0b04d1d3334ac0bfd44cc7e
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127.0 kB | Download |
Additional details
Related works
- Is new version of
- https://arxiv.org/abs/1803.11266 (URL)