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Emerging Topics Community: Return to Trees, Part 2: Single Decision Trees

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Manage episode 407918968 series 30328
Content provided by Society of Actuaries (SOA). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Society of Actuaries (SOA) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Shea and Anders dive into tree-based algorithms, starting with the most fundamental variety, the single decision tree. We cover the mechanics of a decision tree and provide a comparison to linear models. A solid understanding of how a decision tree works is critical to fully grasp the nuances of the more powerful ensemble models, the Random Forest and Gradient Boosting Machine. In addition, single decision trees can still be useful either as a starting point for building more complex models or for situations where interpretability is paramount.

  continue reading

188 episodes

Artwork
iconShare
 
Manage episode 407918968 series 30328
Content provided by Society of Actuaries (SOA). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Society of Actuaries (SOA) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Shea and Anders dive into tree-based algorithms, starting with the most fundamental variety, the single decision tree. We cover the mechanics of a decision tree and provide a comparison to linear models. A solid understanding of how a decision tree works is critical to fully grasp the nuances of the more powerful ensemble models, the Random Forest and Gradient Boosting Machine. In addition, single decision trees can still be useful either as a starting point for building more complex models or for situations where interpretability is paramount.

  continue reading

188 episodes

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