# Modeling and predicting chiral stationary phase enantioselectivity: An efficient random forest classifier using an optimally balanced training dataset and an aggregation strategy

> Research article (Journal of Separation Science, 2018) · cited 23× · AI/ML

**Wikidata**: [openalex:W2792727250](https://www.wikidata.org/wiki/openalex:W2792727250)  
**Source**: https://4ort.xyz/entity/modeling-and-predicting-chiral-stationary-phase-enantioselectivity-an-efficient-random-forest-classifier-using-an-optima