Hi, nice comp, glad it is over.
Congratulations to the winners. If I remember correctly, Babawale was leading for a long time (and by far) so it is good that he won in the end - congrats @Babawale_Sodiq
I've seen a few published solutions, all GBM based. I tried GBM, but, given spatial nature of data, believed this is begging for a CNN solution. Sure, lots more tuning and struggle than GBM, and lower score :-(, but the 5x5 grid sort of suggests CNN with channels being the different features.
Anyhow, any others tried CNN as well? And any comments on which to use here?
I tried CNN as well but I got terrible result ( i am not expert in NN/CNN, just tried to use some examples).
Then I switched to GBM with heavy feature engineering. I think made naive mistake and ovefit my model based on public leadeboard and lack of stable CV results compare to the result of board.
I will share same model with less overfitting soon.
Congrats for the winner and thanks for sharings and launching this challenge.
Thanks @skaak, I only used GBM models. You can find my solution here : https://zindi.africa/competitions/landslide-prevention-and-innovation-challenge/discussions/13460.