Explain naivebayessimple algorithem, Database Management System

Use the IRIS dataset that comes with Weka to compare the classification performance of the following algorithms.

1. NaiveBayesSimple

2. MultiLayerPerceptron

  • J48 (C4.5, decision tree induction)

For each classifier, run the test once using the training set for testing, and once using 5-fold cross-validation.

 •Write a short report that explains your work. This report should address the following issues. ?Description of the dataset.

1. A table describing the results.

2. A discussion/explanation of the results and the algorithms' performance. Also, explain why the accuracy is higher when "use training set" is selected for testing, rather than "cross-validation".

 

Posted Date: 4/6/2013 1:47:11 AM | Location : United States







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