JanataHack: Mobility Analytics
Vehicle Loan Default Prediction Welcome to Sigma Cab Private Limited - a cab aggregator service. Their customers can download their app on smartphones and book a cab from any where in the cities they operate in. They, in turn search for cabs from various service providers and provide the best option to their client across available options. They have been in operation for little less than a year now. During this period, they have captured surge_pricing_type from the service providers. You have been hired by Sigma Cabs as a Data Scientist and have been asked to build a predictive model, which could help them in predicting the surge_pricing_type pro-actively. This would in turn help them in matching the right cabs with the right customers quickly and efficiently.ment are not rejected and important determinants can be identified which can be further used for minimising the default rates.
Submissions are evaluated on accuracy between the predicted probability and the observed target.
Test data is further randomly divided into Public (25%) and Private (75%) data. Your initial responses will be checked and scored on the Public data. The final rankings would be based on your private score which will be published once the competition is over.
- Public LB : 50th/321 Rank
- Private LB : 15th/321 Rank