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