Using Random undersampling, Tomeklinks, Random oversampling, SMOTE, SMOTE+Tomeklinks and ADASYN from inbuilt imbalanced learn library and found how many records added or discarded.
-
Updated
Oct 21, 2024 - Jupyter Notebook
Using Random undersampling, Tomeklinks, Random oversampling, SMOTE, SMOTE+Tomeklinks and ADASYN from inbuilt imbalanced learn library and found how many records added or discarded.
🎓 Quais são os atributos determinantes no abandono estudantil? Isso é o que esse projeto visa descobrir 😎!
A fraud detection (exploratory) project using machine learning algorithms over 11 million real transactions
The Repository is created to cover undersampling and oversampling methods to deal imbalance problem.
Add a description, image, and links to the tomek-link topic page so that developers can more easily learn about it.
To associate your repository with the tomek-link topic, visit your repo's landing page and select "manage topics."