Why did you choose these tools?

Name two reasons to use a decision tree, and the tools you would use to create them. Why did you choose these tools? Additionally, do you anticipate any problems as you attempt to use them for this week’s assignment? If you have already attempted the problem set, what problems did you run into?

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A decision tree is defined as a decision support tool which uses a model which is tree-like to come up with decisions and their relevant consequences. The tree s represented graphically to provide possible solutions to a given decision as per specific conditions. There are many reasons that explain why a decision tree has to be used. In machine learning, a decision tree is a supervised technique where the input data and the corresponding output data are known and hence used in the training where the data is split continuously as per specific parameters. Consequently, the two ways in which decision trees are used is when the possible consequences of a decision are to be explored and secondly, when the values of outcomes need to be quantified and the probabilities of…

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