| 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 |
0.9998 ± 0.0001 Per class Cross-validation details (10-fold Crossvalidation)
|
0.9819 ± 0.0032 Per class Cross-validation details (10-fold Crossvalidation)
|
0.9512 ± 0.0088 Cross-validation details (10-fold Crossvalidation)
|
0.6954 ± 0.0077 Cross-validation details (10-fold Crossvalidation)
|
0.1416 ± 0.003 Cross-validation details (10-fold Crossvalidation)
|
0.375 Cross-validation details (10-fold Crossvalidation)
|
20000 Per class Cross-validation details (10-fold Crossvalidation) |
0.9824 ± 0.0031 Per class Cross-validation details (10-fold Crossvalidation)
|
0.9821 ± 0.0032 Cross-validation details (10-fold Crossvalidation)
|
0.8113 Cross-validation details (10-fold Crossvalidation)
|
0.9821 ± 0.0032 Per class Cross-validation details (10-fold Crossvalidation)
|
0.3775 ± 0.0081 Cross-validation details (10-fold Crossvalidation)
|
0.433 Cross-validation details (10-fold Crossvalidation)
|
0.1897 ± 0.0042 Cross-validation details (10-fold Crossvalidation)
|
0.4381 ± 0.0097 Cross-validation details (10-fold Crossvalidation)
|