Category: imbalanced-data
-
When 50/50 Isn’t Optimal: Debunking Even Rebalancing
When 50/50 Isn’t Optimal: Debunking Even Rebalancing A new theory of class imbalance demonstrates that the optimal training imbalance in a binary problem is not 50% The post When 50/50 Isn’t Optimal: Debunking Even Rebalancing appeared first on Towards Data Science. Marco Baity-Jesi Go to original source
-
The Next AI Revolution: A Tutorial Using VAEs to Generate High-Quality Synthetic Data
The Next AI Revolution: A Tutorial Using VAEs to Generate High-Quality Synthetic Data What is synthetic data? Data created by a computer intended to replicate or augment existing data. Why is it useful? We have all experienced the success of ChatGPT, Llama, and more recently, DeepSeek. These language models are being used ubiquitously across society…
-
Credit Card Fraud Detection with Different Sampling Techniques
Credit Card Fraud Detection with Different Sampling Techniques How to deal with imbalanced data Photo by Bermix Studio on Unsplash Credit card fraud detection is a plague that all financial institutions are at risk with. In general fraud detection is very challenging because fraudsters are coming up with new and innovative ways of detecting fraud, so…