Random forest regression for fuzzy grades

The used dataset contained information about:

students' gender (1 = male, 2 = female);

schools' type (1 = scientific lyceums, 2 = other lyceums, 3 = technical schools, 4 = vocational schools);

schools' macreregion (1 = Northwester Italy, 2 = Northeastern Italy, 3 = Central Italy, 4 = Southern Italy, 5 = Southern Italy and Isles);

students' origin (1 = native Italian student, 2 = first-generation immigrant student, 3 = second-generation immigrant student);

students' ESCS (continuous data);

teacher-given grades in mathematics (from 1 to 10);

students' achievements on the INVALSI mathematics test (continuous data);

students' fuzzy grade, obtained as a combination of teacher-given grades and achievements in mathematics (from 1 to 10).