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Haberman dataset and benchmarks – Page 2 · SOTA2 Research

Research Datasets

Haberman

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

PU Classification

Haberman semi-synthetic

0.685AUC

5

Haberman (UCI)

75.37Accuracy

5

Haberman k=2 (test)

0.01ARI

4

Constrained Clustering

Haberman

51,400SSE

3

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Popular tasks

Classification Binary Classification Clustering Multi-view Classification Multiclass Imbalanced Classification

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