paper-with-me

Multi-Label Text Classification 벤치마크

Multi-Label Text Classification on SVICTOR (theme)

9개 결과 · ⬇ CSV · JSON

Average F1

0.5121 0.6062 0.7004 0.7946 0.8887 2020-05 2026-09 XGBoost — 0.8887 (2020-05-01) SVM — 0.8246 (2020-05-01) NB — 0.5121 (2020-05-01) XGBoost — 0.8887 (2020-05-01) SVM — 0.8246 (2020-05-01) NB — 0.5121 (2020-05-01) XGBoost — 0.8887 (2020-05-01) SVM — 0.8246 (2020-05-01) NB — 0.5121 (2020-05-01) XGBoost — 0.8887 (2020-05-01)
RankModel Average F1Weighted F1 PaperCodeYear
1 XGBoost 0.88870.8634 VICTOR: a Dataset for Brazilian Legal Documents Classification peluz/VICTOR-dataset 2020
2 SVM 0.82460.8231 VICTOR: a Dataset for Brazilian Legal Documents Classification peluz/VICTOR-dataset 2020
3 NB 0.51210.4875 VICTOR: a Dataset for Brazilian Legal Documents Classification peluz/VICTOR-dataset 2020
4 XGBoost 0.88870.8634 VICTOR: a Dataset for Brazilian Legal Documents Classification peluz/VICTOR-dataset 2020
5 SVM 0.82460.8231 VICTOR: a Dataset for Brazilian Legal Documents Classification peluz/VICTOR-dataset 2020
6 NB 0.51210.4875 VICTOR: a Dataset for Brazilian Legal Documents Classification peluz/VICTOR-dataset 2020
7 XGBoost 0.88870.8634 VICTOR: a Dataset for Brazilian Legal Documents Classification peluz/VICTOR-dataset 2020
8 SVM 0.82460.8231 VICTOR: a Dataset for Brazilian Legal Documents Classification peluz/VICTOR-dataset 2020
9 NB 0.51210.4875 VICTOR: a Dataset for Brazilian Legal Documents Classification peluz/VICTOR-dataset 2020
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