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A function tree for spaghetti bolognese. In the theory of complex systems, a function tree is a diagram showing the dependencies between the functions of a system.It breaks a problem (or its solution) down into simpler parts, allowing the design and development to be more focused and efficient.
The example also shows how the chart's overall style can be overridden by more specific styles set by {}. In this case, the color of the first row of cells is set to yellow using the features of the {} template; see that template's documentation for details on how to specify the CSS of rows and individual cells of a chart.
This template produces one row in a "family tree"-like chart consisting of boxes and connecting lines based loosely on an ASCII art-like syntax.It is meant to be used in conjunction with {{Tree chart/start}} and {{Tree chart/end}}.
The example also shows how the chart's overall style can be overridden by more specific styles set by {}. In this case, the color of the first row of cells is set to yellow using the features of the {} template; see that template's documentation for details on how to specify the CSS of rows and individual cells of a chart.
The original tree is converted to a binary tree: each node with more than two children is replaced by a sub-tree in which each node has exactly two children. Each region representing a node (starting from the root) is divided to two, using a line that keeps the angles between edges as large as possible.
A tree structure, tree diagram, or tree model is a way of representing the hierarchical nature of a structure in a graphical form. It is named a "tree structure" because the classic representation resembles a tree, although the chart is generally upside down compared to a biological tree, with the "stem" at the top and the "leaves" at the bottom.
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The choice of node-splitting functions. The node splitting function used can have an impact on improving the accuracy of the decision tree. For example, using the information-gain function may yield better results than using the phi function. The phi function is known as a measure of “goodness” of a candidate split at a node in the decision ...