Asked in School SubjectsMarketing Advertising and SalesPhilosophy and PhilosophersThe Difference Between
Marketing Advertising and Sales
Philosophy and Philosophers
The Difference Between
What are the advantages of a decision tree?
Asked in Marketing Advertising and Sales
What are the advantages of decision tree analysis?
What advantages does decision table have over decision tree?
List the advantages and disadvantages for both decision table and decision tree?
Decision Tree Advantages Easy to understand Map nicely to a set of business rules Applied to real problems Make no prior assumptions about the data Able to process both numerical and categorical data Decision Tree Disadvantages Output attribute must be categorical Limited to one output attribute Decision tree algorithms are unstable Trees created from numeric datasets can be complex
Difference between decision table and decision tree?
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Where can you find a free program that makes it easy to make and use a decision tree?
What role does a decision tree play in business decision making?
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How decision tree help the manager in decision-making?
A decision tree will help a manager decide which direction that he will moe the business in. e.g. if a business is looking to expand than they would be able to use a decision tree in order to come to a decision in terms of which direction they will expand in. It looks at the different expansion ideas and looks at the possible outcomes for these. It will however only show financial factors affecting the outcome as it analysis solely financial factors.
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Difference between classification and prediction?
The decision tree is a classification model, applied to existing data. If you apply it to new data, for which the class is unknown, you also get a prediction of the class. The assumption is that the new data comes from the similar distribution as the data you used to build your decision tree. In many cases this is a correct assumption and that is why you can use the decision tree for building a predictive model.
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What advantages does decision tree have over decision table?
First it takes advantage of the sequential structure of decision tree branches so that the order of checking conditions and executing actions is immediately noticeable. Second, Conditions and actions of decision trees are found on some branches but not on others which contrasts with decision tables, in which they are all part of the same table. Those conditions and actions that are critical are connected directly to other conditions and actions, whereas those conditions that do not matter are absent. In other words it does not have to be symmetrical. Third,Compared with decision tables, decision trees are more readily understood by others in the organization. Consequently, they are more appropriate as a communication tool. Unbalanced Decision Tables are a compromise between Decision Tables and Decision Trees. Decision Trees themselves can become quite complex with enough conditions and actions. Unbalanced Decision Tables provide either a prioritized list of conditions that lead to a set of actions, or a list of conditions that lead to a set of actions. The result is often more concise than either traditional Decision Tables or Decision Trees.