SUA Outsmarting Outbreaks Challenge
Helping Tanzania, United Republic of
$12 500 USD + AWS credits
Completed (~1 year ago)
Prediction
815 joined
395 active
Start
Dec 06, 24
Close
Jan 31, 25
Reveal
Feb 01, 25
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training data building and features selection
Help · 22 Jan 2025, 00:29 · 2
Could you please explain how the training data was merged, and how you selected the features for the model?
i see that The code in OutsmartingOutbreaks_StarterNotebook.ipynb is only matching based on spatial proximity (latitude/longitude) but not considering the temporal aspect (Month/Year),
i see that The code in OutsmartingOutbreaks_StarterNotebook.ipynb is only matching based on spatial proximity (latitude/longitude) but not considering the temporal aspect (Month/Year),
You're correct; the merging approach in the starter notebook is not ideal. You can refer to this discussion for more details: (https://zindi.africa/competitions/outsmarting-outbreaks-challenge/discussions/24226)