python program - repost

I have dataset of 1720 lines i want to use any programing language to train the first 1250 and test the rest using naive bayes and tree augmented naive bayes classifiers.

calculate classification accuracy and per class classification accuracy and confusion matrix.

compare the result with P(class) and without it in term of class accuracy.

compare the accuracies of naive bayes and tree augmented naive bayes when trained the first 500, 750 and 1250 instances.

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( 1 comentário ) albertson, United States

ID do Projeto: #5108859

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I can do this, I have lots of experiences in this area. Thank you, feel free to talk more. .............................

$250 USD em 15 dias
(21 Comentários)

2 freelancers estão ofertando em média $208 para esse trabalho


I have recently finished an assignment on clustering and classification related to dimensional reduction of data sets. Previously I've done projects implementing ANFIS structure for training and testing data for optimi Mais

$166 USD in 4 dias
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