| Issue | #Downvotes for this reason | By |
|---|
| automlbenchmark_tunedrandomforest(1) | Tuned Random Forest baseline as set up by the AutoML BenchmarkSource: source: https://github.com/openml/automlbenchmark/releases/tag/v0.9 |
| automlbenchmark_tunedrandomforest(1)_time | 4 |
| automlbenchmark_tunedrandomforest(1)_memory | 32 |
| automlbenchmark_tunedrandomforest(1)_cores | 8 |
0.9519 ± 0.0018 Per class Cross-validation details (10-fold Crossvalidation)
|
0.7994 ± 0.0032 Per class Cross-validation details (10-fold Crossvalidation)
|
0.6511 ± 0.0056 Cross-validation details (10-fold Crossvalidation)
|
0.6682 ± 0.0052 Cross-validation details (10-fold Crossvalidation)
|
0.1351 ± 0.0021 Cross-validation details (10-fold Crossvalidation)
|
0.3832 ± 0 Cross-validation details (10-fold Crossvalidation)
|
44819 Per class Cross-validation details (10-fold Crossvalidation) |
0.7995 ± 0.0032 Per class Cross-validation details (10-fold Crossvalidation)
|
0.7993 ± 0.0033 Cross-validation details (10-fold Crossvalidation)
|
1.3491 ± 0.0003 Cross-validation details (10-fold Crossvalidation)
|
0.7993 ± 0.0033 Per class Cross-validation details (10-fold Crossvalidation)
|
0.3527 ± 0.0056 Cross-validation details (10-fold Crossvalidation)
|
0.4377 ± 0 Cross-validation details (10-fold Crossvalidation)
|
0.2992 ± 0.0031 Cross-validation details (10-fold Crossvalidation)
|
0.6835 ± 0.007 Cross-validation details (10-fold Crossvalidation)
|