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Supervised Learning Classification Models with Spotfire® 1.1


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Summary

This Spotfire® template guides user through the entire model building process of supervised classification.

Overview

This Spotfire® template is designed to support the task of producing a machine learning and/or statistical model applied to the usecase of measuring a customer's interest in a particular insurance policy.

We guide the user through the application of several competing models, as well as the task of choosing the best performing one while, where relevant, validating the respective statistical assumptions. This template is composed of three parts:

  1. data exploration
  2. model creation
  3. model deployment

This template is part of the Pricing Accelerator but can be used independently.

 

Release P1.1

Published: October 2018

  • Filtering was enabled when calling data functions
  • Some additional comments and explanations were added to dxp

 

Release P1.0

Published: March 2018

Initial Release

 

 

 

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