Classification Meta Features

Closed Posted Dec 30, 2012 Paid on delivery
Closed Paid on delivery

I have got 923 classification datasets. For these data sets, steps should be implemented below.

Classification Meta Features:

1) To produce a software which extracts classification of datasets' meta features.

2) To predict that which algorithm is the most successful on a given set of data.

3) To find generalized rules between the most successful algorithm and the meta features.

For this task, a software which saves meta features in arff format and combines with the result arff.s should be produced.

For meta features you can examine the Statlog Project and Ho's article.

Max budget: $250

Should be finished in 3 days.

Data Mining Java Machine Learning (ML)

Project ID: #4081598

About the project

9 proposals Remote project Active Feb 5, 2013

9 freelancers are bidding on average $236 for this job

tientaiTA

Let me help you. Please check PMB!

$250 USD in 3 days
(12 Reviews)
3.7
hoangtriTA

Hi sir. I am ready to help you. Please check your PM.

$250 USD in 3 days
(1 Review)
2.3
ArminIT

Hi As i passes data mining course in my master degree ,I have experience with data mining specially in Classification algorithms . also I have heavily experience in java programming. I have done my course project wit More

$250 USD in 10 days
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0.0
xuyan

(1) I am PhD Candidate in Compute Science of NUS, Singapore, and am working in SMART (collaboration between NUS-Singapore & MIT-US) (2) I have 1-year experience working on analysis of traffic sensor data on Singapor More

$250 USD in 3 days
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0.0
telaut

I'm PhD. I can do this. Please, check your private message box.

$150 USD in 5 days
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0.0
phamvietvan

Hello alperk, I have experience in machine learning. I can use ME, SVM,... in Java. So I think I can help you.

$220 USD in 3 days
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roboboysl

hoping to work with you.

$250 USD in 5 days
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BigDExpert

I have hands on experience in Text Data Mining and Machine learning algorithms. I can deliver this project successfully.

$250 USD in 3 days
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0.0