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Thyroid

Benchmarks

Task NameDataset NameSOTA ResultTrend
Anomaly Detectionthyroid
AUPRC86.85
43
Outlier DetectionThyroid
AUC99.29
33
Anomaly DetectionThyroid
AUC-ROC99.33
33
ClusteringThyroid
ARI89
32
Tabular Anomaly DetectionThyroid
AUC-ROC0.991
30
Imbalanced Classificationthyroid_sick
F1-Score90.8
25
ClassificationThyroid
Accuracy97
23
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
Tabular Anomaly Detectionthyroid
F1 Score66.67
16
Binary Classificationthyroid (test)
Misclassification Rate6.4
16
Outlier Detectionthyroid (Group I)
AUROC97.71
14
Anomaly DetectionThyroid
AUC-ROC0.9943
12
Outlier DetectionThyroid
AUC-PR6.7
11
Anomaly Detectionthyroid In-Domain
F1 Score80.22
10
ClusteringNew Thyroid
NMI70.6
9
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
Imbalanced ClassificationThyroid
Macro-F196.58
8
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