Classification Performance Evaluation - Data Mining Applications Report Writing Assessment Answer

Assessment Task:

Task
Task 1: Classification of performance evaluation 
In this comparative analysis task, you are required to evaluate the 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.
a. MultilayerPerceptron
b. Naive Bayes
c. J48
d. RandomForest
e. RERTree
You need to write a report that shows a performance comparison of these algorithms on the datasets. The report should contain a 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.

Task 2: 
Topic: Data mining applications
In this task, you are required to write a report of ~800 words, describing the recent and exciting developments in any two broad application areas of Data Mining of your choice. The report should highlight the current trends, recent developments and other aspects in the application areas of data mining that you have selected.
You are advised to explore relevant blogs, journal articles and online materials on your selected topics. In this report, you should:
•    identify the potential benefits of data mining in selected application areas;
•    briefly describe what are the recent developments and why you think they are exciting;
•    highlight the significance of its implications in terms of business benefits and/or improving quality of life; 
•    briefly discuss the legal and ethical concerns associated; 
•    support your response with appropriate examples and APA referencing.

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