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Tabular Classification on AutoML Benchmark (39 datasets) (test)
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8
Wins
H2O AutoML
-0.32
1.84
4
6.16
Mar 13, 2020
Wins
Losses
Failures
Champion
Avg. Rank
Avg. Rescaled Loss
Avg. Time (min)
Updated 1mo ago
Evaluation Results
Method
Method
Links
Wins
Losses
Failures
Champion
Avg. Rank
Avg. Rescaled Loss
Avg. Time (min)
H2O AutoML
Training Time Limit=1h
2020.03
8
30
1
5
3.1818
0.1914
58
auto-sklearn
Training Time Limit=1h
2020.03
8
26
5
4
3.7273
0.2176
60
GCP-Tables
Training Time Limit=1h
2020.03
6
20
13
5
2.8182
0.201
90
TPOT
Training Time Limit=1h
2020.03
5
30
4
4
4.0909
0.29
67
Auto-WEKA
Training Time Limit=1h
2020.03
4
31
4
2
5.6364
0.9383
62
AutoGluon
Training Time Limit=1h
2020.03
0
0
0
19
1.5455
0.0474
57
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