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Building a decision tree classifier for an input dataset

Build a decision tree classifier for an input dataset in the form of redwine.csv. Assume all attributes except the class are numerical, and the last attribute is the class. The output should be written to a file called [login to view URL] describing the accuracy of the classifier when tested on the input dataset and also the parameters used to build the classifier. [login to view URL] will perform this task when given these 2 commandline arguments: 1, [login to view URL]; here [login to view URL] is the name of an input dataset.

Skills: Java, Data Mining

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Project ID: #24608040

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utkarshkatiyar19

Hi, I’m an expert in decision tree classification. Please let me know the details of the project. We can have a chat.

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ScienceInTheWay

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