https://github.com/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.
https://github.com/sayamalt/travel-insurance-claim-prediction

binary-classification cross-validation data-cleaning-and-preprocessing exploratory-data-analysis feature-engineering hyperparameter-tuning model-training-and-evaluation supervised-machine-learning

Last synced: 4 months ago
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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.

• Host: GitHub
• URL: https://github.com/sayamalt/travel-insurance-claim-prediction
• Owner: SayamAlt
• Created: 2023-07-18T21:07:03.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-07-18T21:20:22.000Z (over 2 years ago)
• Last Synced: 2025-05-19T08:49:58.953Z (6 months ago)
• Topics: binary-classification, cross-validation, data-cleaning-and-preprocessing, exploratory-data-analysis, feature-engineering, hyperparameter-tuning, model-training-and-evaluation, supervised-machine-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 4.12 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Travel-Insurance-Claim-Prediction

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


![Travel Insurance Claim Form](https://th.bing.com/th/id/OIP.k8pBXZqBDqvq9ayn4yT11QHaE8?pid=ImgDet&rs=1) 




![Travel Insurance Claims](https://th.bing.com/th/id/OIP.deJbNIY2_WnUd6TUjHS1DwHaEZ?pid=ImgDet&rs=1)

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)