A new preprocessing framework generates synthetic data to reduce representation bias in machine learning models while maintaining competitive predictive performance.

Data preprocessing, a component of data preparation, describes any type of processing performed on raw data to prepare it for another data processing procedure. It has traditionally been an important ...

A new study reports that Random Forest and Gaussian and Sigmoid kernel Support Vector Machines, combined with systematic ...