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Thyroid

Benchmarks

Task NameDataset NameSOTA ResultTrend
Outlier DetectionThyroid
AUC99.29
33
Anomaly DetectionThyroid
AUC-ROC99.33
33
Anomaly Detectionthyroid
AUPRC86.85
27
Imbalanced Classificationthyroid_sick
F1-Score90.8
25
Outlier DetectionThyroid
AP77.05
22
Object DetectionThyroid II
AP@0.5 (BN)94.9
19
Object DetectionThyroid I (test)
AP@0.5 (BN)0.991
19
Outlier Detectionthyroid ADBench
AUROC (%)98.19
17
ClassificationThyroid
F1 Score95.46
17
Binary Classificationthyroid (test)
Misclassification Rate6.4
16
Outlier Detectionthyroid (Group I)
AUROC97.71
14
Tabular Anomaly DetectionThyroid
AUC-ROC0.991
14
ClusteringThyroid
ARI43.39
12
Outlier DetectionThyroid
AUC-PR6.7
11
Anomaly Detectionthyroid In-Domain
F1 Score80.22
10
Outlier Detectionthyroid
Precision-s58.17
9
Multiclass Classificationthyroid
Weighted F198.1
9
Multiclass imbalanced classificationthyroid
AUC0.997
9
Multiclass imbalanced classificationthyroid
Accuracy97.9
9
Multiclass Imbalanced Classificationthyroid
G-Mean0.992
9
ClassificationThyroid (test)
F1 Score94.8
9
Anomaly DetectionThyroid
F1-Score78
8
Semantic SegmentationThyroid (test)
DICE59.86
7
Medical Report GenerationThyroid
BLEU-10.755
6
Anomaly DetectionThyroid (50% test)
F1 Score75
6
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