Artificial Intelligence

University of XYZ (a fictional university) has developed an algorithm that predicts, for each student in the first year of university study, three types of student outcomes:

A. Drop out (student leaves the university)

B. Repeat-year (student must repeat the first year)

C. Pass (student passes the first year and continues to second year).

To predict these student outcomes, the algorithm uses student background data as well as student engagement data from the first three months of being at university. This includes library activity, login data from the online learning environment, as well as public Twitter activity.

The algorithm has been trained on a large set of student data, and to validate the success of the algorithm, the algorithm is run on a test set. The below table is an excerpt from the result.

Explain the table above in your own words. What is the usual name of this table, and what do the values of the cells mean? What does the note mean?(No less than 100 words)

Predicted Outcome B: Repeat Year C: Pass 5 3 7 12 A: Drop out A: Drop out 8 Actual B: Repeat Year 6 Outcome C: Pass 3 Notes: 1. Precision: 60.47%, recall: 63.04%, F: 61.23% 5 5 43 Predicted Outcome B: Repeat Year C: Pass 5 3 7 12 A: Drop out A: Drop out 8 Actual B: Repeat Year 6 Outcome C: Pass 3 Notes: 1. Precision: 60.47%, recall: 63.04%, F: 61.23% 5 5 43