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CGIAR Crop Yield Prediction Challenge

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Starti
Oct 21, 20
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Feb 07, 21
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Feb 07, 21
Any CNN based models
Connect · 7 Jan 2021, 08:12 · 10

Did anyone try out building a CNN regression model using the 360 channels? If so was there any good RMSE score. For me the RMSE looks very odd

Discussion 10 answers

Try a lstm over a cnn. That is 30 channels spread over 12 months. So lstm should hopefully capture time

7 Jan 2021, 08:24
Upvotes 0

Thanks for the suggestion @aninda_bitm I will give it a try

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MICADEE
LAHASCOM

Yes.... The score is very odd like you said. 1.7### on LB.

7 Jan 2021, 08:40
Upvotes 0

I would think. That's not an odd score. May need

1.7 far better than what I am getting around 20

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MICADEE
LAHASCOM

Really........ Actually with DNN i got 1.7300 on LB without any hyperparameter tunning and any other adjustment. The score with CNN is not that good at all compare to DNN.

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MICADEE
LAHASCOM

Really........ Actually with DNN i got 1.7300 on LB without any hyperparameter tunning and any other adjustment. The score with CNN is not that good at all compare to DNN.

The CNN architecture, optimizer, and learning rates had to be changed to finally end at 1.8 on LB. So there is room for improvement using CNN.

BTW anyone tried out removing the low-quality images, if so what was the best LB score you have? for me, it was around 1.81 based on the starter notebook.

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MICADEE
LAHASCOM

Great...... Like i said before my CNN didn't give me good score while my DNN did very well (1.7300 on LB) even though am yet to change/adjust my optimizer and learning rate respectively if that would further improve the score. For me removing low-quality images worsen my score on LB. I mean removing "low-quality images" have no positive effect on my score at all.

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University of uyo

@saibhargav08 I am just a beginner and am learning. Please could you show me how this 360 band is being fed into a CNN. I haven't even made any submission only how the bands are being put into a CNN thanks. Just that

8 Jan 2021, 17:39
Upvotes 0