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@@ -68,6 +68,31 @@ The following hyperparameters were used during training:
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  | 0.6606 | 0.8130 | 50 | 0.6014 | 0.8445 | 0.8446 | 0.8445 | 0.8445 | 0.5042 |
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  | 0.5763 | 0.9756 | 60 | 0.5972 | 0.8445 | 0.8448 | 0.8445 | 0.8445 | 0.4874 |
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  ### Framework versions
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  | 0.6606 | 0.8130 | 50 | 0.6014 | 0.8445 | 0.8446 | 0.8445 | 0.8445 | 0.5042 |
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  | 0.5763 | 0.9756 | 60 | 0.5972 | 0.8445 | 0.8448 | 0.8445 | 0.8445 | 0.4874 |
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+ precision recall f1-score top1-score top2-score top3-score good1-score good2-score support
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+
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+ 0 Aigua 0.632 0.545 0.585 0.545 0.818 0.955 0.955 0.955 22
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+ 1 Consum, comerç i mercats 0.103 0.571 0.174 0.571 0.714 0.857 0.714 0.714 7
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+ 2 Cultura 0.500 0.750 0.600 0.750 0.750 0.750 0.750 0.750 8
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+ 3 Economia 0.211 0.500 0.296 0.500 0.875 1.000 0.875 0.875 8
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+ 4 Educació 0.438 0.636 0.519 0.636 0.818 1.000 1.000 1.000 11
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+ 5 Enllumenat públic 0.833 0.851 0.842 0.851 0.936 0.979 0.979 0.979 47
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+ 6 Esports 0.562 0.750 0.643 0.750 0.917 1.000 1.000 1.000 12
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+ 7 Habitatge 0.208 0.385 0.270 0.385 0.615 0.923 0.692 0.846 13
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+ 8 Horta 0.000 0.000 0.000 0.000 0.444 0.556 0.556 0.556 9
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+ 9 Medi ambient i jardins 0.429 0.559 0.485 0.559 0.729 0.915 0.915 0.915 59
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+ 10 Neteja de la via pública 0.686 0.238 0.353 0.238 0.505 0.772 0.762 0.762 101
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+ 11 Salut pública 0.135 0.292 0.184 0.292 0.708 0.792 0.708 0.708 24
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+ 12 Seguretat ciutadana i incivisme 0.727 0.471 0.571 0.471 0.588 0.765 0.706 0.706 34
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+ 13 Serveis socials 0.333 0.667 0.444 0.667 0.889 0.889 0.889 0.889 9
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+ 14 Tràmits 0.395 0.395 0.395 0.395 0.884 0.907 0.907 0.907 43
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+ 15 Urbanisme 0.379 0.172 0.237 0.172 0.453 0.641 0.578 0.578 64
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+ 16 Via pública i mobilitat 0.778 0.778 0.778 0.778 0.846 0.889 0.864 0.867 279
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+
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+ macro avg 0.432 0.504 0.434 0.504 0.735 0.858 0.815 0.824 750
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+ weighted avg 0.610 0.557 0.559 0.557 0.739 0.853 0.825 0.829 750
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+ accuracy 0.557
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+ error rate 0.443
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+
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  ### Framework versions
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