Tabular Datasets
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
Tabular Datasets 8-shot
0.641AP
9
Tabular Datasets 4-shot
62.4AP
9
Larger Tabular Datasets
88.13Accuracy
9
Tabular Datasets Small
84.47Accuracy
9
18 Tabular Datasets (kr-vs-kp, mfeat-factors, credit-g, vehicle, kc1, bank-marketing, blood-transfusion, cnae-9, nomao, phoneme, adult, segment, christine, jasmine, sylvine, riccardo, dilbert, fabert)
124.5Test Statistic
7
5 Small Tabular Datasets Average
1,462Number of Rules
7
19 Tabular Datasets Aggregate
77.6Normalized Mean
4
33 Tabular Datasets Multi-class
94.82Accuracy
4
33 tabular datasets Binary
88.9Accuracy
4
Tabular datasets (held-out feature subsets)
64.06Avg AUAC
3
10 Tabular Datasets (Average: Adult, Default, Diabetes, Magic, Shoppers, Beijing, Bikeshare, California, News, Power)
0.862Shape Error
2
15 Tabular Datasets (Solar Flare, Infrared Therm., Abalone, Insurance, Beijing, News, Diabetic Retin., Adult, Default, Magic, Bank, Student Perf., Contraceptive, Music, Diamonds)
94.9Precision
2