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Project-Travel-Insurance-Claim-Prediciton

Minimizing the risk for the travel insurance company by predicting whether a customer would claim insurance based on existing data which would help the company make better decisions for sanctioning further insurance policies.

  • Predict the Claim of Insurance (Yes 1 or No 0).

  • Binary Classification problem having to deal with class imbalance.

Goal

The goal of this project is to determine if we can predict the claim status (Yes or No) from the various travel insurance-related attributes.

Dataset

Train.csv Test.csv are given

The dataset has 63326 records. There are 11 fields/attributes where "Claim" is the target variable.

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