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You're reading from  Machine Learning for Imbalanced Data

Product typeBook
Published inNov 2023
Reading LevelBeginner
PublisherPackt
ISBN-139781801070836
Edition1st Edition
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Authors (2):
Kumar Abhishek
Kumar Abhishek
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Kumar Abhishek

Kumar Abhishek is a seasoned Senior Machine Learning Engineer at Expedia Group, US, specializing in risk analysis and fraud detection for Expedia brands. With over a decade of experience at companies such as Microsoft, Amazon, and a Bay Area startup, Kumar holds an MS in Computer Science from the University of Florida.
Read more about Kumar Abhishek

Dr. Mounir Abdelaziz
Dr. Mounir Abdelaziz
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Dr. Mounir Abdelaziz

Dr. Mounir Abdelaziz is a deep learning researcher specializing in computer vision applications. He holds a Ph.D. in computer science and technology from Central South University, China. During his Ph.D. journey, he developed innovative algorithms to address practical computer vision challenges. He has also authored numerous research articles in the field of few-shot learning for image classification.
Read more about Dr. Mounir Abdelaziz

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Understanding costs in practice

We need to understand the various types of costs involved while creating weights for different classes. These costs change on a case-by-case basis. Let’s discuss an example of cost calculations to understand what we should consider while thinking about cost calculations.

Let’s take the example of pediatric pneumonia. According to UNICEF, a child dies of pneumonia every 43 seconds [4]. Imagine we are creating a new test for pediatric pneumonia – how will we decide the cost of different errors?

Let’s review the confusion matrix from Table 5.1. There will usually be no extra cost for True Negatives and True Positives. But using a False Negative – that is, when a child has pneumonia and predicting the child to be healthy – will have a very high cost. On the flip side, when a healthy child is predicted as being affected by pneumonia, there will be a cost associated with the troubles the family of the child may...

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Machine Learning for Imbalanced Data
Published in: Nov 2023Publisher: PacktISBN-13: 9781801070836

Authors (2)

author image
Kumar Abhishek

Kumar Abhishek is a seasoned Senior Machine Learning Engineer at Expedia Group, US, specializing in risk analysis and fraud detection for Expedia brands. With over a decade of experience at companies such as Microsoft, Amazon, and a Bay Area startup, Kumar holds an MS in Computer Science from the University of Florida.
Read more about Kumar Abhishek

author image
Dr. Mounir Abdelaziz

Dr. Mounir Abdelaziz is a deep learning researcher specializing in computer vision applications. He holds a Ph.D. in computer science and technology from Central South University, China. During his Ph.D. journey, he developed innovative algorithms to address practical computer vision challenges. He has also authored numerous research articles in the field of few-shot learning for image classification.
Read more about Dr. Mounir Abdelaziz