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Artificial Intelligence Using Weka for Classification and Learning Apply the Nave Bayes classifier and the MultiLayerPerceptron classifier in Weka to the following dataset and answer

Artificial Intelligence

Using Weka for Classification and Learning

Apply the Nave Bayes classifier and the MultiLayerPerceptron classifier in Weka to the following dataset and answer the questions below for each test. (i) Nave Bayes on segment-challenge.arff. Select test option as Use supplied test set, and upload the test file, segment-test.arff, from the DATA folder in Weka.

a. What are the total number of instances in the data file? b. What are the total number of attributes? c. What are the total number of classes? d. What are the total number of nodes generated? e. What are the total number of correctly classified instances? f. What are the total number of incorrectly classified instances? g. What is the accuracy percentage of correctly classified instances? h. What is the model training time? i. What is the model testing time?

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