Improving random forests by neighborhood projection for effective text classification.

•We propose a lazy version of the random forest classifier based on nearest neighbors.•Our goal is to reduce overfitting due to very complex trees generated in noisy scenarios.•We run a very extensive set of experiments covering hundreds of results in two domains.•Our method was the best performer in almost all cases.•Our method is also more scalable than other lazy solutions.