ITC516 Weka Data Mining Assessment 3 -IT
ITC516 Weka Data Mining Assessment 3 -IT
Task:
Weka Data Mining Practical and Report [15 marks]
Step 1: You are required to perform a data mining task to evaluate different classification algorithms. Load the breast-cancer.arff data set into Weka and compare the performance on this data set for the following classification algorithms:
• Naive Bayes
• J48
• Random Forest
• Random Tree
• REPTree
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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