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Use the IRIS dataset that comes with Weka to compare the classification performance of the following algorithms.
1. NaiveBayesSimple
2. MultiLayerPerceptron
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".
Explain three main attributes of data.
object oriented database
In an organisation various projects are undertaken. Each projects can employ one or more employees. Every employee can work on one or more projects. Each project is undertaken on
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anyone have a textbook solutions case fair, 8 edition of vol 1 ?, please give me
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