Java SVM (using weka API or LIBSVM)

I need a program in Java that uses Support vector machines as a meta-learner. The input information will be a database containing 100 given datasets with 5 meta-features for each dataset. The program will run 8 clustering algorithms on each dataset and rank those algorithms for each dataset based on the accuracy, latency and reliability. Afterwards, a new unfamiliar dataset is used and based on the similarity between the meta-features of the new dataset and the meta-features in the database, the program is supposed to predict a ranking for the 8 clustering algorithms for that new dataset.

Квалификация: Java

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О работодателе:
( 9 отзыв(-а, -ов) ) Toronto, Canada

ID проекта: #7121802

4 фрилансеров(-а) в среднем готовы выполнить эту работу за $425


Hello I am Java expert and interested in this project. I have reviewed your requirements and confident to handle it perfectly. Please communicate to discuss further. Regards Anshu

$200 CAD за 3 дней(-я)
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Ready to work !Ready to work !Ready to work !Ready to work !Ready to work !Ready to work !Ready to work !Ready to work !Ready to work !Ready to work !Ready to work !Ready to work !Ready to work !

$200 CAD за 3 дней(-я)
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I have done a project by the Weka before, so I could help you on this project. Could you please provide more details?

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