RD2 - Gradient Boosting Machines in Radar
Radar is cutting-edge pricing decision support software and serves as a robust and flexible tool for pricing work across a wide spectrum of possible applications. Our half day course covers building and evaluating GBM models within Radar. This course is aimed at users who have attended the RD1 course or have a basic working knowledge of Radar and general modelling concepts.
The content will include:
- Theory of GBMs, including simple conceptual examples
- Hands-on worked examples of fitting GBMs in Radar, including:
- Building ground-up GBM models
- Internal cross-fold validation and hyper-parameter selection
- Model validation
- GBM visualization and diagnostics, including factor importance and PDPs
- GBM fitting features with a focus on faster fitting and hyper-parameter tuning
The course builds upon RD1 content and therefore assumes a degree of understanding of the fundamentals of Radar. The course focusses on the use of Radar and can be extended on request to include additional content on the best practice use of GBMs within different modelling contexts, please reach out to us to find out more about this.
To maximize your learning experience, we limit attendance to a small group of usually up to six or seven for training held by Webinar and up to 12 for classroom based training.
This course is open to all companies licensing Radar
If you are interested in a demonstration of Radar’s modelling capabilities or have questions about how it can improve your modelling, pricing or reporting workflow please contact us.
To register interest and for pricing information, please contact us.
Details
When
Thursday, 5 November 2026
Time (U.K Timezone)
09.20 - Registration
09.30 - Start
13.00 - End
Where
Online Webinar/Reigate
For product news, software help, articles, advice and license/product downloads please visit our Software Support Portal