A guide to Base Rate Fallacy in machine learning

The base rate fallacy is a kind of fallacy that is also known as base rate bias and base rate neglect. This kind of fallacy has information about the base rate and specific information. There can be ignorance of base rate data in favor of individuating data.
Performances of machine learning models are obtained by testing them. We use many statistical tests but also one thing that we all are aware of is that no statistical test is perfect. Some errors in models are easy to understand but hard to capture. The base rate fallacy can be considered an easy to understand but hard to find error. The concept of base rate fallacy is taken from behavioral science. In this article, we are going to discuss the this fallacy and we will also understand its applicability to machine learning. The major points to be discussed in the article are listed below. Table of contents What is the base rate?What is the base rate fallacy?Base rate fallacy in machine learningWhy does the base rate Fallacy happen?How to avoid the base rate fallacy? Let's start by understanding the base rate first. What is the base rate? In statistics, the base rate can be considered as probabilities of classes that are unconditioned of evidence of features. We may also th
Subscribe or log in to Continue Reading

Uncompromising innovation. Timeless influence. Your support powers the future of independent tech journalism.

Already have an account? Sign In.

📣 Want to advertise in AIM? Book here

Picture of Yugesh Verma
Yugesh Verma
Yugesh is a graduate in automobile engineering and worked as a data analyst intern. He completed several Data Science projects. He has a strong interest in Deep Learning and writing blogs on data science and machine learning.
Related Posts
AIM Print and TV
Don’t Miss the Next Big Shift in AI.
Get one year subscription for ₹5999
Download the easiest way to
stay informed