Primary competition visual

SANSA AWS Informal Settlements in South Africa by #ZindiWeekendz

Helping South Africa
$1 000 USD
Completed (almost 6 years ago)
Classification
Earth Observation
182 joined
77 active
Starti
Jun 12, 20
Closei
Jun 14, 20
Reveali
Jun 14, 20
2nd place solution.
Notebooks ยท 1 Jul 2020, 12:31 ยท edited 24 minutes later ยท 3

Sorry for the delay guys, here's the 2nd place solution. "https://github.com/nikhilmishradevelop/zindi-aws-sansa-hack/", most of the credit still goes to John :D. What worked for me, I guess was using only positive examples instead of both positive and negative examples from the shp file. Initially I saw that my model was predicting mostly negative examples and only a few percentage of positive examples,(less than 5%). Sorry its badly documented, if you have any queries, please ask.

Discussion 3 answers

Congrats again, I have a question "why did you clip test preds between 0 and 0.8 ? "

1 Jul 2020, 13:31
Upvotes 0

Fares, I did it because log loss is a very unstable metric. Confident wrong predictions are penalized heavily.

Oh I see, thx for the reply!