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kr-vs-kp

Benchmarks

Task NameDataset NameSOTA ResultTrend
Classificationkr-vs-kp
Average Accuracy99.6
10
ClassificationUCI kr-vs-kp (80%:20%)
Classification Error (%)2.64
9
Classificationkr-vs-kp 3
AUROC99.9
8
Classificationkr-vs-kp
Balanced Accuracy99.85
8
Classificationkr-vs-kp
Average Accuracy99.56
6
Classificationkr-vs-kp (full dataset)
Model Score93
1
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