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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".
What is meant by the degree of relationship set? The degree of relationship type is the number of participating entity types.
List and explain the memory constructs of the Oracle 12c databases?
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Explain the use of constraints in functional model with suitable example. A constraint shows relationship between two objects at same time, or among various values of the sam
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