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Random forest regression for fuzzy grades

<p>The used dataset contained information about:</p> <ul> <li>students&#39; gender (1 = male, 2 = female);</li> <li>schools&#39; type (1 = scientific lyceums, 2 = other lyceums, 3 = technical schools, 4 = vocational schools);</li> <li>schools&#39; macreregion (1 = Northwester Italy, 2 = Northeastern Italy, 3 = Central Italy, 4 = Southern Italy, 5 = Southern Italy and Isles);</li> <li>students&#39; origin (1 = native Italian student, 2 = first-generation immigrant student, 3 = second-generation immigrant student);</li> <li>students&#39; ESCS (continuous data);</li> <li>teacher-given grades in mathematics (from 1 to 10);</li> <li>students&#39; achievements on the INVALSI mathematics test (continuous data);</li> <li>students&#39; fuzzy grade, obtained as a combination of teacher-given grades and achievements in mathematics (from 1 to 10).</li> </ul>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4

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