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Ham

Benchmarks

Task NameDataset NameSOTA ResultTrend
Graph property detectionHam Huge House of Graphs (test)
F1 Score93
17
Graph property detectionHam Large House of Graphs (test)
F1 Score95
17
Graph property detectionHam Medium House of Graphs (test)
F1 Score98
17
Graph property detectionHam Small House of Graphs (test)
F1 Score94
17
Melanoma ClassificationHAM Dermoscopic (test)
Recall92.81
16
Gradient Inversion AttackHAM10000
PSNR120.93
14
Medical Logical Reasoning (Rule 1: is_malignant)HAM 5000 samples (test)
F1-score (NS-CL)100
10
Image ClassificationHAM (test)
Accuracy83.18
9
Global Counterfactual Summary for Time-Series ClusteringHam UCR Archive
Effectiveness51.8
6
Medical Image ClassificationHAM-7 Dermoscopy
W_F10.805
6
Local Counterfactual GenerationHam (UCR)
Effectiveness100
5
Time Series ClassificationHam (test)
Accuracy83.2
5
Medical Logical Reasoning (Rule 3: is_mel_on_back)HAM 5000 samples (test)
F1 (NS-CL)99.8
4
Time Series ClusteringHAM
Rand Index0.527
4
Medical Logical Reasoning (Rule 2: is_mel_or_bcc)HAM 5000 samples (test)
F1 Score (NS-CL)100
3
Correlation Analysis of Leakage Metrics against Intervention Performance (Sint)HAM10K
CTL Pearson r0.49
1
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