Semi-supervised regression trees with application to QSAR modelling

•Obtaining labelled data for many domains is a very difficult and expensive task.•Semi-supervised learning leverages the information from labelled and unlabelled data.•The proposed semi-supervised regression trees outperform supervised regression trees.•Semi-supervised regression trees can be easily applied to QSAR modelling.•Semi-supervised regression trees are readily interpretable models.