InseeFrLab / InseeFrLab/benchmark_spatial_interpolation
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Description
- I think you can shorten the section on coordinate rotation to half a page, maybe a bit more. Do not mention 23 rotations, only $k$ rotations.
- You can mix the section on data and subsection 4.5 (Experimental Setup) in only one section (after the theoretical part).
- The table ` Benchmark Configuration` can be replaced by one paragraph.
- In 5.1, you can hide the code producing the heatmap (it's a quarto chunk option).
Results:
- Replace the figures `Average Training Time on Small Datasets (All Types)` and `Efficiency Landscape: Initial Speed vs. Scalability Cost` by a table, with NA for GAM and GeoRF on large data. The scalability can be discussed in the text, by comparing the training time on large and small data.
- Replace the figure `Predictive Scalability: R2 Improvement (Small Large Data)` by a table, and replace R² by the MSE.
- I'm not sure that the figure `Impact of Grid Structure on Model Performance (R2)` is useful. Maybe a comment in the text would be sufficient?
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