Insurance Prediction Challenge
A learning competition designed for DSN Bootcamp 2019
Prize
Knowledge
Time
Active
Participants
522 active · 1603 enrolled
Helping
Nigeria
Prediction
Insurance
Construction
About

You have been appointed as the Lead Data Analyst to build a predictive model to determine if a building will have an insurance claim during a certain period or not. You will have to predict the probability of having at least one claim over the insured period of the building.The model will be based on the building characteristics. The target variable, Claim, is a:

  • 1 if the building has at least a claim over the insured period.
  • 0 if the building doesn’t have a claim over the insured period.

How to use Colab on Zindi

How to mount a drive on Colab

Files
Description
Files
Full list of variables and their explanations.
Train contains the target. This is the dataset that you will use to train your model.
Test resembles Train.csv but without the target-related columns. This is the dataset on which you will apply your model to.
This shows the submission format for this competition, with the ‘ID’ column mirroring that of Test.csv and the ‘target’ column containing your predictions. The order of the rows does not matter, but the names of the ID must be correct.