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SayamAlt / Travel-Insurance-Claim-Prediction

Successfully established a supervised machine learning model that can accurately predict whether the travel insurance claim of a particular customer should be approved or not by a travel insurance agency.

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binary-classificationcross-validationdata-cleaning-and-preprocessingexploratory-data-analysisfeature-engineeringhyperparameter-tuningmodel-training-and-evaluationsupervised-machine-learning

Travel-Insurance-Claim-Prediction

A third-party travel insurance servicing company that is based in Singapore.

Travel Insurance Claim Form


Travel Insurance Claims

The attributes are as follows:

  • Target: Claim Status (Claim.Status)
  • Name of agency (Agency)
  • Type of travel insurance agencies (Agency.Type)
  • Distribution channel of travel insurance agencies (Distribution.Channel)
  • Name of the travel insurance products (Product.Name)
  • Duration of travel (Duration)
  • Destination of travel (Destination)
  • Amount of sales of travel insurance policies (Net.Sales)
  • Commission received for travel insurance agency (Commission)
  • Gender of insured (Gender)
  • Age of insured (Age)

About

Successfully established a supervised machine learning model that can accurately predict whether the travel insurance claim of a particular customer should be approved or not by a travel insurance agency.

binary-classificationcross-validationdata-cleaning-and-preprocessingexploratory-data-analysisfeature-engineeringhyperparameter-tuningmodel-training-and-evaluationsupervised-machine-learning

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