AutoInland Vehicle Insurance Claim Challenge
$1,000 USD
Can you predict if a client will submit a vehicle insurance claim in the next 3 months?
583 data scientists enrolled, 234 on the leaderboard
InsuranceFinancial ServicesPredictionStructured
26 March—27 June
Ends in 2 months
Zindi Rule Clarification
published 3 Apr 2021, 17:32

I Found this on Zindi Rule for the competition

If the error metric requires probabilities to be submitted, do not set thresholds (or round your probabilities) to improve your place on the leaderboard. In order to ensure that the client receives the best solution, Zindi will need the raw probabilities. This will allow the clients to set thresholds for their own needs.

Since the competition is about predicting 1's and 0's can we set a threshold before when predicting the probabilities before appending it to 1's and 0's

Better you predict 1's and 0's instead to predict probabilities.

The rule said if it's a probability prediction

Since it isn't required to predict probability then just predict 1s and 0s and don't bother about that rule as it doesn't apply to this competition. Just go ahead and predict 1s and 0s not probabilities

Get the probabilities and do np.argmax