Understanding overfitting in random forest for probability estimation: a visualization and simulation study

Lasai Barreñada, Paula Dhiman, Dirk Timmerman +2

Random forests have become popular for clinical risk prediction modelling. In a case study on predicting ovarian malignancy, we observed training c-statistics close to 1. Although…