Lunch & Learn: “Features with flat partial dependence plots up to a certain level – not important?”

Lunch & Learn: “Insurance Analytics: clustering techniques”

03/02/2022

FAQctuary 2022-1 | How to assess broker’s performances in an elementary way?

29/03/2022

Lunch & Learn “Features with flat partial dependence plots up to a certain level - not important?”

We are pleased to announce that our next Lunch & Learn will take place on Mar. 8, 2022 from 12:30 to 13:30.
It will be given in English by our TCP Consultant, Elke Gagelmans.

This Lunch and Learn proposes to discuss the results of our FAQctuary"Features with flat partial dependence plots up to a certain level: not important?".

This Lunch & Learn focuses on partial dependence plots which are often used when modeling with machine learning techniques in order to better understand the effects of the features on the conditional expectation of the response variable. However, these plots must be interpreted with caution. Indeed, they can easily lead to wrong interpretations in case the analyst is not enough familiar with these plots. We will demonstrate with examples that these plots must be used carefully.

The Detralytics Team