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Papers Benchmarks Datasets Tasks

Iris dataset and benchmarks – Page 3 · SOTA2 Research

Research Datasets

Iris

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

iris

0.63ARI

8

Active Learning

Iris

93.4AULC

8

Iris

0.997ROC AUC

8

Tabular Classification

Iris

0.95Cohen's Kappa

8

Iris (5-fold cross-val)

96.7Accuracy

8

Multi-view Classification

Iris

100Precision

7

Multi-view Classification

Iris UCI (test)

100Recall

7

Nonstationary backward transfer

Iris

-0.145BWT-ARI

7

Multiclass Classification

iris

99.93AUC

7

irs (Iris) (test)

1.1Error Rate

7

Counterfactual Explanation

Iris

1.015Phi Score

6

Counterfactual Explanation

iris

1.3Proximity Score

6

Task-Incremental Valuation

Iris DT

1rho

6

Iris

0.9ARI

6

Iris

0Runtime (s)

6

Iris

90Accuracy

6

Multiclass Classification

IRIS

83R500 Score

6

Membership Inference Attack

Iris

72.22Accuracy

6

Player-Incremental Valuation

Iris (30% held-out pool)

1Spearman Correlation (ρ)

5

Manifold Learning

Iris

0.987Average (TW + CN)

5

Multi-Class Classification

Iris (test)

93.8Macro F1

5

Data Shapley Value Estimation

Iris

111Time

5

Binary Iris (test)

86.75th Percentile Accuracy

5

Binary Classification

Iris versicolor vs virginica (50 splits)

0Error Rate

4

Counterfactual Explanation Generation

Iris

0.637L1 Distance

4

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