2009, Forecasting, Knowledge Discovery and Risk

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

MAY 20, 2021

This carries the risk of this modification performing worse than simpler approaches like majority under-sampling. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, 73–79. Using the adap learning algorithm to forecast the onset of diabetes mellitus. Chawla et al. link] Fisher, R.

Machine Learning

Machine Learning Metrics Data mining Knowledge Discovery

Data Leaders Brief

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Webinars

Stay Connected