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The project will give knowledge with the implementation of decision tree. Decision Tree for Classification

The project will give the knowledge of implementation of decision tree (a popular classifier)

and the procedure of evaluating the performance a classifier. In this project, the decision tree is a binary

tree, i.e., each node has at most two children. For simplicity, you can assume that all attributes in a given

dataset are binary.

Specifically, the term project contains two parts. In the first part, you will first need to construct a

randomized decision tree. The construction procedure is a simplified implementation of the tree growth

algorithm. Then you will evaluate the classification performance of the randomized decision tree by

2-fold cross validation. In the second part, you will construct a gain based decision tree by modifying

two subroutines in the first part.

As well as the first project, you can useWeka library in your Java implementation. Especially, you can

apply [url removed, login to view] package for the necessary work on data preprocessing. Weka provides implementations

of several different versions of decision trees. These implementations can be used as references to help

you finish the first part of the project. But it is important to note that our implementation is different

from the implementations of Weka decision trees

Competenze: Java

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Sul datore di lavoro:
( 3 valutazioni ) BOWLING GREEN, United States

ID Progetto: #11978186

Assegnato a:

$100 USD in 2 giorni
(28 valutazioni)
4.6

11 freelancers are bidding on average $163 for this job

dobreiiita

Hello I am Java expert and interested in this project. I have reviewed the attached doc and confident to handle it perfectly. I have a lot of experience in helping in students with assignments, so I will kee Altro

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7.3
Yknox

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$150 USD in 2 giorni
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anuragiitk

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$155 USD in 3 giorni
(15 valutazioni)
4.5
muhammadawab1293

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$123 USD in 1 giorno
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4.2
yshkhre

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ruchitshrestha

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1.7
mhortis

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1.8
HenritDel

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(0 valutazioni)
0.0
Sunxiyong0116

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$300 USD in 3 giorni
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