Wine
Benchmarks
TaskDatasetSOTA resultTrendResults
wine
0.001Average Run Time (s)
4
Wine 3 classes scikit-learn bundled (test)
98.67Accuracy
3
wine
99.29Average Balanced Accuracy
3
wine
95.87F1 Score
3
Wine
83.1Accuracy
3
Wine (OOD)
0dp
3
Wine (ID)
0dp
3
wine
0.674ARI
3
Wine
6Misclassification Count
3
Wine
0.999Stability
3
WINE (test)
7Complexity
3
Wine 20 random splits
0.025Error
2
wine
2.175Average Local Curvature
2
Wine
423.2Running Time (s)
2
Wine
0.011Running time (s)
2
Wine
0.006Running Time (s)
2
Wine
41.15Runtime
2
wine-recog
100Accuracy (%)
2
Wine
6.08Time (s)
2
Wine
98.33Mean CV Accuracy
2
Wine (UCI)
0.615RMSE
2
WINE (test)
98Accuracy
2
Wine class 1 vs class 2 scikit-learn (50 stratified train-test splits)
2.9Error Rate
1
Wine 3 classes (30 stratified splits)
2.4Error Rate
1
Wine (test)
0P-value (Co vs Single)
1