Примеры использования Decision tree на Английском языке и их переводы на Русский язык
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Decision Tree Software.
Introduction to Decision Tree.
A decision tree is also a nonparametric method.
Edraw has a huge bank of ready-made decision tree templates.
Use the decision tree method, screening, prioritizing and adjusting.
One popular such algorithm is the ID3 algorithm for decision tree construction.
A portion of the decision tree chart is shown below.
A decision tree is a simple representation for classifying examples.
People are able to understand decision tree models after a brief explanation.
A decision tree is composed of internal decision nodes and terminal leaves.
The group was assigned to formulate a decision tree by which SPEs could be detected.
Decision tree learning is a method commonly used in data mining.
The group was assigned to formulate a decision tree by which SPEs could be detected.
The decision tree does not provide direct answers under such specific circumstances.
Such algorithms cannot guarantee to return the globally optimal decision tree.
The first part of the decision tree describes the situation of units inside MNE groups.
Keywords: regional education system,labor market, decision tree, curriculum.
The decision tree that determines the choice of the outcomes is illustrated in Fig 2 below.
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The decision tree, can be used without any problems for the"uncomplicated" cases.
Peleg(2008) developed an experimental'decision tree' to identify M&A transactions involving IP.
The decision tree has proved to work well, especially for the'simple' cases.
On the background there is schematically drawn program's key function- decision tree building.
Using a decision tree method, screening, prioritising and adjusting indicators.
On the background there is schematically draw main program functional- decision tree building.
The features from a decision tree or a tree ensemble are shown to be redundant.
Many data mining software packages provide implementations of one or more decision tree algorithms.
The decision tree that was presented by Statistics Netherlands was found useful by the participants.
Figure 1 shows this decision tree, which contains less detail and is a great guideline to help countries that face SPE detection problems.
Decision tree for transboundary movements of collected used and end-of-life computing equipment 1.