| | | MRR | Accuracy |
---|
Country (# mapped occupations) | Input | ESCO language | Micro | Top 1 | Top 2 | Top 3 | Top 5 | Top 10 | Top 20 | Top 30 |
---|
LV (2747) | Title |
EN | 0.5719 | 0.4536 | 0.5784 | 0.6400 | 0.7153 | 0.7961 | 0.8591 | 0.8890 |
LV | 0.6231 | 0.5169 | 0.6298 | 0.6837 | 0.7543 | 0.8231 | 0.8824 | 0.9057 |
ES (2180) | Title |
EN | 0.6150 | 0.4982 | 0.6284 | 0.6890 | 0.7560 | 0.8326 | 0.8872 | 0.9101 |
ES | 0.6358 | 0.5266 | 0.6422 | 0.7064 | 0.7729 | 0.8413 | 0.8945 | 0.9142 |
SE (2292) | Title |
EN | 0.6033 | 0.4838 | 0.6143 | 0.6824 | 0.7426 | 0.8229 | 0.8866 | 0.9149 |
SV | 0.6689 | 0.5620 | 0.6837 | 0.7365 | 0.7958 | 0.8687 | 0.9136 | 0.9402 |
IT (814) |
Title |
EN | 0.6666 | 0.5725 | 0.6806 | 0.7260 | 0.7789 | 0.8391 | 0.8821 | 0.8956 |
IT | 0.6930 | 0.6093 | 0.7052 | 0.7506 | 0.7887 | 0.8342 | 0.8894 | 0.9029 |
Title, Desc |
EN | 0.7141 | 0.6278 | 0.7224 | 0.7617 | 0.8145 | 0.8796 | 0.9214 | 0.9447 |
IT | 0.7308 | 0.6413 | 0.7494 | 0.7887 | 0.8280 | 0.8907 | 0.9361 | 0.9558 |
O*NET (940) |
Title | EN | 0.8671 | 0.8128 | 0.8809 | 0.9106 | 0.9362 | 0.9553 | 0.9734 | 0.9819 |
Title, Desc | EN | 0.8811 | 0.8351 | 0.8915 | 0.9138 | 0.9415 | 0.9564 | 0.9755 | 0.9787 |