How to Tune a Model Using Feature Contribution and Simple Analytics

date:

October 4, 2022

Time:

3:00 pm

Summary:

Tuning a model is a core element in data science and requires experience. An integral part of the tuning process is the feature selection. We would like to suggest a simple process – calculate feature contribution data (or explainability) for different experiments, and then analyze the data using analytic tools. You learn about your features and choose the right ones for you. That will lead to better results, and easier and faster to achieve them. We will explain the process and show examples.

Ready to attend?

Register now! Join your peers.

Register now View agenda
Newsletter

Knowledge is everything!
Sign up for our newsletter to receive:

  • an extra 10% off your first ticket!
  • insights, interviews, tips, news, and much more about Predictive Analytics World
  • price break reminders