InseeFrLab / InseeFrLab/benchmark_spatial_interpolation
Revisions of the benchmark
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Description
Ideally:
- add cross-validation and early-stopping in the training process. This may be possible through a wrapper around the estimator.
- add noisy datasets: 1/ add a random noise to synthetic data; 2/ add real datasets with noisy data (housing prices).
- Remove small data entirely, and focus exclusively on large datasets?
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