From the course: Machine Learning and AI Foundations: Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions
Unlock this course with a free trial
Join today to access over 25,500 courses taught by industry experts.
Variable importance and reason codes - KNIME Tutorial
From the course: Machine Learning and AI Foundations: Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions
Variable importance and reason codes
- [Instructor] This course will have some hands on application, so let's take a closer look as to what these explanations might look like in practice. What are some of the practical applications of explainable AI that you might encounter? Have you ever applied for a credit line increase or a more favorable mortgage rate rate or premium credit card and have been declined? In the US and many other countries by law and explanation has to be sent out, and the letter lists the reason codes that may have applied in that situation. Let's assume that you're trying to refinance your mortgage to take advantage of a new lower and you shop around at multiple banks. If you aren't careful about how to go about it it might generate multiple inquiries on your credit report. So you get a decline letter from one of the banks and it gives a brief explanation with a reason code. Let's say it's the reason code 85. The explanation in the letter is…
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.
Contents
-
-
-
Understanding the what and why your models predict4m 28s
-
(Locked)
Variable importance and reason codes2m 22s
-
(Locked)
Comparing IML and XAI4m 23s
-
(Locked)
Trends in AI making the XAI problem more prominent6m 18s
-
(Locked)
Local and global explanations2m 23s
-
(Locked)
XAI for debugging models2m 26s
-
(Locked)
KNIME support of global and local explanations2m 22s
-
-
-
-
-
-
-
-