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.

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 ...

The alternating decision tree learning algorithm. in Proceedings of the 16th International Conference on Machine Learning, (eds. Bratko, I. & Džeroski, S.) 124–133 (Morgan Kaufmann, San ...

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At the heart of Sri Aurobindo’s notion of the triple transformation of human consciousness lies a unique reshaping of the Upanishadic philosophical tradition from a prism of a meaningful life ...

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Elementary logic and set theory, number systems (including integers, rationals, reals and complex numbers), bounds, supremums and infimums, basic combinatorics, functions ... Matrices and systems of ...