Written by:Dennis Turp (Data Scientist at Modulos) When we work with Machine Learning models, we often report the model’s score; e.g. “my model reached an accuracy of 0.9” or “my R2 score is 0.85”. These performance estimators are easy to understand and practical when benchmarking models against each other. Unfortunately however, they reduce the complexity […]
Ever wondered how decision trees and random forests work and what problems they can solve? This blog is here to answer your questions!