Outlier Detection using Random Forest Regressors: Leveraging Algorithm Strengths to your Advantage
Using a model’s robustness to outliers to detect them Michael Zakhary · Follow Published in Towards Data Science · 8 min read · Sep 28, 2023 — Photo by Will Myers on Unsplash Problem Statement The problem of outlier detection can be tricky, especially if the ground truth or the description of what is an outlier is ambiguous or based upon multiple factors. Mathematically speaking, an outlier can be defined as data points more than