Skip to content

This is for the FLC team teaching about Model Explainers

Notifications You must be signed in to change notification settings

jamesbhall423/FLC_Model_Explainers

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 

Repository files navigation

FLC_Model_Explainers

Various Model Explainers - Derek

https://www.analyticsvidhya.com/blog/2020/03/6-python-libraries-interpret-machine-learning-models/

What is a model explainer? - James

What is a model explainer? A model explainer is a function designed to show how the model produces different predictions. Models in 2D are relatively easy to describe. For example, there we could have a classification model determined by a single line.

However, models frequently have more than 2 features, and so cannot be easily placed on a single chart. However, a model explainer can help us answer the following questions. Which features are the most important? How does changing those features impact the prediction? Is the model more complicated than it needs to be?

What does the information mean that the model explainer gives us? - Ammon

This information allows us to see inside the Blackbox of what a ML model is doing.

(If you have another question that you want to research add it here or below)

About

This is for the FLC team teaching about Model Explainers

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published