Random Forest

With excellent performance on all eight metrics, calibrated boosted trees were the best learning algorithm overall. Random forests are close second, followed by uncalibrated bagged trees, calibrated SVMs, and un- calibrated neural nets. -- Rich Caruana, Alexandru Niculescu-Mizil link: https://www.cs.cornell.edu/~caruana/ctp/ct.papers/caruana.icml06.pdf Definition Decision Tree is a schematic, tree-shaped diagram used to determine a course of action … Continue reading Random Forest