Imagine a recent study claims that we can determine the grade you will receive in this class by using a machine learning algorithm to evaluate your face. The algorithm was trained on a set of photos taken of students as they left the room after an exam and the grades from that exam as provided by the professor. The following year, the professor cancels all exams and uses professional portraits of the students to assign grades via the algorithm. What is the most likely outcome of this scenario:

Question $10$ options:

Those likely to fail the class will get correct grades while those who will pass will probably get incorrect grades.

Students will likely get exactly the grade they deserve $-$ perhaps even more so than would be possible using the exam $-$ because machine learning algorithms are uniquely capable of knowing things about people based on their facial structure.

The grades are not likely to be accurate in any way

Those likely to pass the class will get correct grades while those who will fail will probably get incorrect grades.