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RCV1

Benchmarks

Task NameDataset NameSOTA ResultTrend
Hierarchical Text ClassificationRCV1 v2
Macro-F169.7
68
Document RetrievalRCV1 (test)
Precision@1000.9805
45
Text CategorizationRCV1 (test)
Error Rate0.0797
24
Text ClassificationRCV1 v2 (train)
Training Loss0.023
21
Text ClassificationRCV1 v2 (val)
Accuracy (Val)86.4
21
Hierarchical Text ClassificationRCV1 Depth 4 V2
Micro-F165.73
20
Hierarchical Text ClassificationRCV1 v2 (test)
Micro-F187.31
20
Multi-label text classificationRCV1 V2
Micro-F187.6
18
Document ModelingRCV1 v2 (test)
Perplexity521
18
Hierarchical Text ClassificationRCV1
Micro-F183.3
15
Classificationrcv1 binary
PA95.9
15
Topic ModelingRCV1-v2 processed (test)
Perplexity602
12
Document ModelingRCV1
Perplexity685
11
Unsupervised ClusteringRCV1-10K
ACC67.15
10
Binary Classificationrcv1 binary
CPU Score87.8
10
Classificationrcv1.binary (test)
CPU Score0.824
10
Density EstimationRCV1 UCI repository (test)
Average Log-Likelihood (nats)-46.12
9
Text ClassificationRCV1
Precision@197.05
8
Distribution EstimationRCV1 (test)
Negative Log-Likelihood46.1
8
Topic CategorizationRCV1
Error Rate9.33
8
Topic ModelingRCV1
Avg Topic Coherence0.14
8
ClusteringRCV1
Purity0.35
6
Support Vector MachineRCV1
Iterations27
5
Sparse logistic regressionRCV1
Iterations150
5
Elastic net regressionRCV1
Iterations8
5
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