Eur-lex-documents

Eur-lex-documents multilabel long documents classification. Assign one, more than one or none labels to each doc. [ver. 2.0.2]

# submitter when ver. description dev-0 Likelihood dev-0 F1 test-A Likelihood test-A F1
31 [anonymized] 2022-09-24 18:06 2.0.2 PetraRQ Classifier - 10k samples neural-network pytorch-nn roberta 0.17 39.10 0.11 38.24
32 [anonymized] 2022-09-24 18:06 2.0.2 PetraRQ Classifier - 1k samples neural-network pytorch-nn roberta 0.03 37.86 0.03 38.24
34 [anonymized] 2022-09-24 18:05 2.0.2 PetraRQ Classifier - 100 samples neural-network pytorch-nn roberta 0.00 33.75 0.00 34.21
33 [anonymized] 2022-09-23 15:00 2.0.2 Roberta classifier - 1k samples neural-network roberta 0.00 33.75 0.00 34.21
9 [anonymized] 2022-09-22 09:09 2.0.2 PetraRQ Classifier neural-network pytorch-nn roberta 1.02 67.24 5.33 75.32
8 [anonymized] 2022-09-13 22:56 2.0.2 Fast text classifier - full dataset python fasttext 0.00 79.68 21.75 81.80
10 [anonymized] 2022-09-13 22:56 2.0.2 Fast text classifier - 10k samples python fasttext 0.00 63.57 8.81 67.87
71 [anonymized] 2022-09-13 22:55 2.0.2 Fast text classifier - 1k samples python fasttext 0.00 21.35 0.00 24.47
76 [anonymized] 2022-09-13 22:55 2.0.2 Fast text classifier - 100 samples python fasttext 0.00 0.00 0.00 0.00
17 [anonymized] 2022-09-13 22:55 2.0.2 XGBoost classifier - full dataset scikit-learn xgboost 0.02 47.38 0.05 49.81
19 [anonymized] 2022-09-13 22:54 2.0.2 XGBoost classifier - 10k samples scikit-learn xgboost 0.05 39.10 0.06 39.95
47 [anonymized] 2022-09-13 22:54 2.0.2 XGBoost classifier - 1k samples scikit-learn xgboost 0.01 28.00 0.01 28.32
69 [anonymized] 2022-09-13 22:54 2.0.2 XGBoost classifier - 100 samples scikit-learn xgboost 0.00 25.76 0.00 24.52
67 [anonymized] 2022-08-24 20:09 2.0.2 Random forest classifier - full dataset scikit-learn random-forest 1.41 23.05 1.75 26.42
46 [anonymized] 2022-08-24 20:09 2.0.2 Random forest classifier - 10k samples scikit-learn random-forest 0.25 31.24 0.27 30.22
40 [anonymized] 2022-08-24 20:08 2.0.2 Random forest classifier - 1k samples scikit-learn random-forest 0.04 34.89 0.04 33.96
48 [anonymized] 2022-08-24 20:08 2.0.2 Random forest classifier - 100 samples scikit-learn random-forest 0.01 28.16 0.01 28.09
39 [anonymized] 2022-08-24 20:07 2.0.2 SVM classifier - full dataset scikit-learn svm 0.00 34.33 0.00 34.08
50 [anonymized] 2022-08-24 20:06 2.0.2 SVM classifier - 10k samples scikit-learn svm 0.00 26.31 0.00 26.58
75 [anonymized] 2022-08-24 20:05 2.0.2 SVM classifier - 1k samples scikit-learn svm 0.00 15.89 0.00 15.23
70 [anonymized] 2022-08-24 20:05 2.0.2 SVM classifier - 100 samples scikit-learn svm 0.00 24.59 0.00 24.50
61 [anonymized] 2022-08-24 20:01 2.0.2 Naive bayes classifier - full dataset naive-bayes scikit-learn 0.49 23.71 0.57 26.48
44 [anonymized] 2022-08-24 20:01 2.0.2 Naive bayes classifier - 10k samples naive-bayes scikit-learn 0.05 31.57 0.05 30.34
45 [anonymized] 2022-08-24 20:01 2.0.2 Naive bayes classifier - 1k samples naive-bayes scikit-learn 0.04 31.51 0.05 30.26
42 [anonymized] 2022-08-24 20:01 2.0.2 Naive bayes classifier - 100 samples naive-bayes scikit-learn 0.00 32.52 0.00 32.88
29 [anonymized] 2022-08-24 20:00 2.0.2 Logistic regression classifier - full dataset logistic-regression scikit-learn 0.00 38.21 0.00 39.24
49 [anonymized] 2022-08-23 06:04 2.0.2 Logistic regression classifier - 10k samples logistic-regression scikit-learn 0.00 27.91 0.00 27.85
74 [anonymized] 2022-08-22 22:40 2.0.2 Logistic regression classifier - 1k samples logistic-regression scikit-learn 0.00 16.04 0.00 15.68
73 [anonymized] 2022-08-22 20:52 2.0.2 Logistic regression classifier - 100 samples logistic-regression scikit-learn 0.00 20.06 0.00 20.01
11 [anonymized] 2022-07-15 06:59 2.0.2 Roberta classifier - 10k samples neural-network roberta 0.50 62.19 0.46 61.86
43 [anonymized] 2022-07-15 06:58 2.0.2 Roberta classifier - 100 samples neural-network roberta 0.00 31.90 0.00 30.80
18 [anonymized] 2022-07-15 06:58 2.0.2 Roberta classifier - 1k samples neural-network roberta 0.11 45.20 0.08 44.15
1 [anonymized] 2022-07-15 06:57 2.0.2 RoBERTa classifier - full dataset neural-network roberta 13.24 85.61 15.97 87.04
38 [anonymized] 2022-07-14 23:10 2.0.2 SVM classifier - 10k samples svm 0.00 34.33 0.00 34.08
37 [anonymized] 2022-07-14 23:10 2.0.2 SVM classifier - 1k samples svm 0.00 34.33 0.00 34.08
36 [anonymized] 2022-07-14 23:10 2.0.2 SVM classifier - 100 samples svm 0.00 34.33 0.00 34.08
35 [anonymized] 2022-07-14 23:09 2.0.2 SVM classifier - full dataset svm 0.00 34.33 0.00 34.08
7 [anonymized] 2022-07-14 23:01 2.0.2 Fast text classifier - 10k samples fasttext 0.00 79.68 21.75 81.80
6 [anonymized] 2022-07-14 23:00 2.0.2 Fast text classifier - 1k samples fasttext 0.00 79.68 21.75 81.80
5 [anonymized] 2022-07-14 23:00 2.0.2 Fast text classifier - 100 samples fasttext 0.00 79.68 21.75 81.80
4 [anonymized] 2022-07-14 22:59 2.0.2 Fast text classifier - full dataset fasttext 0.00 79.68 21.75 81.80
16 [anonymized] 2022-07-14 22:59 2.0.2 XGBoost classifier - 10k samples xgboost 0.02 47.38 0.05 49.81
15 [anonymized] 2022-07-14 22:58 2.0.2 XGBoost classifier - 1k samples xgboost 0.02 47.38 0.05 49.81
14 [anonymized] 2022-07-14 22:58 2.0.2 XGBoost classifier - 100 samples xgboost 0.02 47.38 0.05 49.81
13 [anonymized] 2022-07-14 22:57 2.0.2 XGBoost classifier - full dataset xgboost 0.02 47.38 0.05 49.81
66 [anonymized] 2022-07-14 22:56 2.0.2 Random forest classifier - 10k samples random-forest 1.41 23.05 1.75 26.42
65 [anonymized] 2022-07-14 22:56 2.0.2 Random forest classifier - 1k samples random-forest 1.41 23.05 1.75 26.42
64 [anonymized] 2022-07-14 22:55 2.0.2 Random forest classifier - 100 samples random-forest 1.41 23.05 1.75 26.42
63 [anonymized] 2022-07-14 22:55 2.0.2 Random forest classifier - full dataset random-forest 1.41 23.05 1.75 26.42
60 [anonymized] 2022-07-14 22:54 2.0.2 Naive bayes classifier - 100 samples naive-bayes 0.49 23.71 0.57 26.48
59 [anonymized] 2022-07-14 22:54 2.0.2 Naive bayes classifier - 10k samples naive-bayes 0.49 23.71 0.57 26.48
58 [anonymized] 2022-07-14 22:53 2.0.2 Naive bayes classifier - 1k samples naive-bayes 0.49 23.71 0.57 26.48
57 [anonymized] 2022-07-14 22:53 2.0.2 Naive bayes classifier - full dataset naive-bayes 0.49 23.71 0.57 26.48
28 [anonymized] 2022-07-14 22:52 2.0.2 Logistic regression classifier - 10k samples logistic-regression 0.00 38.21 0.00 39.24
27 [anonymized] 2022-07-14 22:49 2.0.2 Logistic regression classifier - full dataset logistic-regression 0.00 38.21 0.00 39.24
26 [anonymized] 2022-07-14 22:49 2.0.2 Logistic regression classifier - full dataset logistic-regression 0.00 38.21 0.00 39.24
25 [anonymized] 2022-07-14 22:48 2.0.2 Logistic regression classifier - full dataset logistic-regression 0.00 38.21 0.00 39.24
62 [anonymized] 2022-07-11 22:21 2.0.2 Logistic Regression 100 samples naive-bayes 1.41 23.05 1.75 26.42
24 [anonymized] 2022-07-11 22:20 2.0.2 Logistic regression classifier logistic-regression 0.00 38.21 0.00 39.24
23 [anonymized] 2022-07-11 22:20 2.0.2 Logistic regression classifier logistic-regression 0.00 38.21 0.00 39.24
22 [anonymized] 2022-07-11 22:19 2.0.2 Logistic regression classifier logistic-regression 0.00 38.21 0.00 39.24
56 [anonymized] 2022-07-11 22:19 2.0.2 Naive bayes classifier naive-bayes 0.49 23.71 0.57 26.48
55 [anonymized] 2022-07-11 22:19 2.0.2 Naive bayes classifier naive-bayes 0.49 23.71 0.57 26.48
54 [anonymized] 2022-07-11 22:18 2.0.2 Naive bayes classifier naive-bayes 0.49 23.71 0.57 26.48
53 [anonymized] 2022-07-11 22:18 2.0.2 Naive bayes classifier naive-bayes 0.49 23.71 0.57 26.48
21 [anonymized] 2022-07-11 22:15 2.0.2 Logistic regression classifier logistic-regression 0.00 38.21 0.00 39.24
30 [anonymized] 2022-06-21 06:05 2.0.2 Logistic regression logistic-regression 0.00 38.21 0.00 39.24
2 [anonymized] 2022-05-15 21:08 2.0.2 RoBERTa neural-network roberta 7.80 84.88 10.49 86.68
3 [anonymized] 2022-03-22 06:40 2.0.2 Fast Text fasttext 18.95 79.59 0.00 81.81
12 [anonymized] 2022-03-15 01:35 2.0.2 XGBoost xgboost 0.00 47.38 0.00 49.81
68 [anonymized] 2022-03-15 01:35 2.0.2 Random forest random-forest 1.44 22.89 1.77 26.26
52 [anonymized] 2022-03-15 01:34 2.0.2 Naive Bayes naive-bayes 0.00 23.71 0.00 26.48
20 [anonymized] 2022-03-15 01:33 2.0.2 Logistic Regression logistic-regression 0.00 38.21 0.00 39.24
51 [anonymized] 2022-03-04 00:29 2.0.2 Naive Bayes naive-bayes 0.00 23.71 0.00 26.48
41 [anonymized] 2022-03-04 00:28 2.0.2 SVM svm 0.00 33.99 0.00 33.77
72 [anonymized] 2022-03-04 00:28 2.0.2 Random forest random-forest 1.43 21.35 1.76 24.43
80 [anonymized] 2022-01-24 06:58 1.0.1 Roberta base - new ds neural-network roberta-base N/A N/A N/A N/A
79 p/tlen 2022-01-15 13:26 1.0.1 RoBERTa classifier neural-network roberta-base N/A N/A N/A N/A
78 [anonymized] 2022-01-14 07:30 1.0.1 roberta-base neural-network roberta-base N/A N/A N/A N/A
77 [anonymized] 2021-12-26 11:49 1.0.0 RoBERTa classifier neural-network roberta-base N/A N/A N/A N/A