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.

Навички: Java, Інтелектуальний аналіз даних

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Про роботодавця:
( 0 відгуки(-ів) ) Bengaluru, India

ID Проекту: #24608040

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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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I have worked across various domains such as Banking, Insurance, Healthcare, Telecom, Business Development. I am a Data Science and ML professional with 3 years of experience having deep understanding of algorithms and Більше

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Hi, hopefully you’re feeling well. We’ve a team of 3 Developers and have rich experience in it Machine Learning. We are looking forward to apply our skills to solve your problem perfectly, you will get cool results. R Більше

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