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Part - Practical and Report
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.
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