Weka Setup Task Task 1 Load the Ionosphere.arff dataset in Weka to perform rule classification using the following methods • JRip • Ridor For each method produce a summary of the rules produced and...

Weka Setup Task Task 1 Load the Ionosphere.arff dataset in Weka to perform rule classification using the following methods • JRip • Ridor For each method produce a summary of the rules produced and comment on their accuracy using performance metrics used in Weka. Expected outcome: The student has thoroughly understood the classification method, providing a detailed description of the method and its output on the given data set. The discussion involving the validation and accuracy of the model demonstrates thorough understanding of the classification method as applied to the given data set Task 2 Load the Vote.arff dataset in Weka to perform association rule learning using the following methods • Apriori • FPGrowth For each method produce a summary of the rules produced and comment on their accuracy. Expected outcome: The student has thoroughly understood the classification method, providing a detailed description of the method and its output on the given data set. The discussion involving the validation and accuracy of the model demonstrates thorough understanding of the classification method as applied to the given data set Task 3 Load Breast-Cancer.arff dataset in WEKA for Bayesian classification using the following methods • BayesNet • AODE For each method produce a summary of the classification produced and comment on the accuracy of the method. Expected outcome: The student has thoroughly understood the classification method, providing a detailed description of the method and its output on the given data set. The discussion involving the validation and accuracy of the model demonstrates thorough understanding of the classification method as applied to the given data set