For example, oncologists classify tumors as different known cancer types using biopsies, patient records and other assays. Decision trees, such as C4.5 (ref. 1), CART 2 and newer variants ...
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports ...
Definition: Decision tree analysis involves making a tree-shaped diagram to chart out a course of action or a statistical probability analysis. It is used to break down complex problems or branches.
This repository showcases projects from the Data Mining course at UNAM, Mexico. It includes analyses of customer behavior, sales transactions, and a sequence-to-sequence model for text generation ...