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There are two steps to complete in this task Step 1: You are required to perform a data mining task to evaluate different classification algorithms. Load the vote.arff data set into Weka and compare the performance on this data set for three classification algorithms: Decision Tree Naive Bayes k-Nearest Neighbour Step 2: From step 1 outputs, write a report that shows the performance of the different algorithms and comment on their accuracy using the confusion matrix and other performance metrics used in Weka. In your report consider Is there a difference in performance between the algorithms? Which algorithm performs best? . Your report should Include the necessary screenshots, tables, graphs, etc. to make your report understandable to the reader