BayesNet classifier

$30-250 USD

In Progress

Posted

about 11 years ago

$30-250 USD

Paid on delivery

A Matlab implementation of the BayesNet classifier is required. The classifier should be implemented the exact way as it’s implemented in WEKA but in Matlab code i.e. it should be able to load the dataset from .csv file , perform 10 fold cross validation , and then the output should be as follows: 1- Classification accuracy. 2- Number of true positives. 3- Sensitivity. 4- Precision. 5- Recall. 6- F-measure. 7- ROC area. 8- Plot ROC curve. As I mentioned before same as the WEKA random forest classifier but the code should be written in Matlab.

Algorithm

Engineering

Linear Programming

Matlab and Mathematica

Project ID: 4417079

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9 proposals

Remote project

Active 11 yrs ago

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Awarded to:

@hsndehghan

Hi, I can do it.

$210 USD in 3 days

4.8

(6 reviews)

4.8

9 freelancers are bidding on average $439 USD for this job

@betaenergy

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$200 USD in 3 days