Task 1: Classification performance evaluation
In this comparative analysis task, you are required to evaluate classification performance of five algorithms on three datasets using Weka. Load breast-cancer.arff, diabetes.arff and iris.arff datasets into Weka one at a time and run each of the below algorithms with their default settings. Then, collect a 10-fold cross-validation classification results for quantitative evaluation.
- MultilayerPerceptron
- Naive Bayes
- J48
- RandomForest
- RERTree
You need to write a report that shows performance comparison of these algorithms on the datasets. The report should contain quantitative comparison of classification accuracy in terms of the confusion matrix and other performance metrics used in Weka. Include necessary screenshots, tables, graphs, etc. to make your report comprehensive, and revealing insightful details on the performance comparison.
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