It includes a structured folder organization for your datasets and a set of pre-defined Python packages necessary for most data science tasks.

Decision Trees are non-parameterized supervised algorithms used for classification and regression procedures. It is composed of a system of nodes representing tests on attributes, edges representing ...

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.

patients using popular modified decision tree by using genetic algorithm. Performance analysis of the proposed method is compared against data-mining approach, probability rule base classification; ...

For the first time at this scale, traditional manned platforms operated in tandem with drones, autonomous sensors, and AI-backed decision tools—offering a glimpse of what future battlefields might ...

Abstract: This paper presents a new algorithm for generating all n node t-ary trees in linked representation by providing a context and generalizing Skarbek's algorithm for generating binary trees. It ...

PARSONS, W.Va. (WBOY) — Community members and environmental groups celebrated a decision by the U.S. Forest Service on Tuesday to not clear cut a 115-acre section of forest along the Cheat River, ...