Reference no: EM132650014 , Length: 1330 Words

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.