ITC516 - Data Mining and Visualisation for Business Intelligence Weka Data Mining Assessment and Tutor Proposal
Charles Sturt University
ITC516 - Data Mining and Visualisation for Business Intelligence Weka Data Mining
Assessment No: 3
ITC516|Data Mining and Visualisation for Business Intelligence
Student’s Score cards
Weka Data Mining
Task: Weka Data Mining Practical and Report [15 marks]
There are two steps to complete in this task:
You are required to perform a data mining task to evaluate different classification algorithms. Load the soybean.arff data set into Weka and compare the performance on this data set for the following classification algorithms:
- Naive Bayes
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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