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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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Model performance comparison of various oversampling methods

Let’s examine how some popular models perform with the different oversampling techniques we’ve discussed. We’ll use two datasets for this comparison: one synthetic and one real-world dataset. We’ll evaluate the performance of four oversampling techniques, as well as no sampling, using logistic regression and random forest models.

You can find all the related code in this book’s GitHub repository. In Figure 2.15 and Figure 2.16, we can see the average precision score values for both models on the two datasets:

Figure 2.15 – Performance comparison of various oversampling techniques on a synthetic dataset

Figure 2.16 – Performance comparison of various oversampling techniques on the thyroid_sick dataset

Based on these plots, we can draw some useful conclusions:

  • Effectiveness of oversampling: In general, using...
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You have been reading a chapter from
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