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Papers Benchmarks Datasets Tasks

Iris dataset and benchmarks – Page 2 · SOTA2 Research

Research Datasets

Iris

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Counterfactual Explanation Diversity

Iris

2.92Diversity

13

iris

0Runtime (s)

12

iris

90V-Measure

12

iris

94Fowlkes-Mallows Index (FMI)

12

iris

90NMI

12

iris

0.9ARI

12

Iris (train)

0.09Training Loss

12

Iris K-NN digraph

0.77AMI

11

Online Class Incremental Learning

Iris

2Average Forgetting

11

Explanation Regularity

Iris

0.838Regularity

11

Explanation Fidelity Estimation

Iris

0.86Fidelity (R2 Score)

11

Explanation Stability

Iris

100Stability Score

11

Machine Unlearning

Iris 2% (forgotten)

0.312UQI

11

Machine Unlearning

Iris subset 2% (test)

100Accuracy

11

Machine Unlearning

Iris subset 2% (retained)

94Accuracy

11

Full-class forgetting

Iris (test)

93.3Accuracy

11

Full-class forgetting

Iris (retain)

90Acc

11

Local Model Interpretation

Iris

0KL Divergence

10

Iris 4D

100ARI

10

Cluster Validation

Iris

88.6PWRS Score

10

Visual Question Answering

IRIS 1.0 (ambiguous trials)

59.3Accuracy (Image Only)

10

Iris

97Purity

9

Multiclass classification

IRIS subsampled to 100 3 classes (train)

70R500

9

Tabular Classification

iris (61) (test)

2.7Test Error Rate

9

Iris

97.33Accuracy

8

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Classification Clustering Visual Question Answering Multiclass Classification Machine Unlearning

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