THE UNIVERSITY OF HONG KONG
DEPARTMENT OF COMPUTER SCIENCE
FITE7410 Financial Fraud Analytics
First Semester, 2023-2024
Assignment 2
(Due Date: 13 Nov, 2023 (Mon) 23:59)
Assessment Criteria:
• Plagiarism: Please follow the guidelines laid down by our department.
• You are allowed to discuss the assignment with your classmates; however, direct copy and paste is PROHIBITED and would be considered as PLAGIARISM.
• Assignments would be marked based on the logic, presentation and understanding of the problem, not only on accuracy.
• LATE PENALTIES: 50% of assignment marks will be deducted for late submissions. 0 marks if the submission is later than 2 weeks.
a. Download the ENRON dataset (which was used in Assignment 1)
b. Using the R package, develop a fraud detection model using any TWO supervised learning algorithms.
c. Please refer to the provided R program of a fraud detection model using TWO sample supervised learning algorithms
Based on the results of your fraud detection models developed in (1) above:
a. Describe the performances of the 2 fraud detection models based on the results; and
b. Explain which one is more suitable for this case and why from a practical perspective by citing examples.
a. R language script
b. A pdf version report
