| 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 |
0.8611 ± 0.0054 Per class Cross-validation details (10-fold Crossvalidation)
|
0.474 ± 0.0117 Per class Cross-validation details (10-fold Crossvalidation)
|
0.4198 ± 0.013 Cross-validation details (10-fold Crossvalidation)
|
0.2849 ± 0.005 Cross-validation details (10-fold Crossvalidation)
|
0.1563 ± 0.0006 Cross-validation details (10-fold Crossvalidation)
|
0.18 ± 0 Cross-validation details (10-fold Crossvalidation)
|
10000 Per class Cross-validation details (10-fold Crossvalidation) |
0.4776 ± 0.0126 Per class Cross-validation details (10-fold Crossvalidation)
|
0.4778 ± 0.0117 Cross-validation details (10-fold Crossvalidation)
|
3.3214 ± 0 Cross-validation details (10-fold Crossvalidation)
|
0.4778 ± 0.0117 Per class Cross-validation details (10-fold Crossvalidation)
|
0.8685 ± 0.0032 Cross-validation details (10-fold Crossvalidation)
|
0.3 ± 0 Cross-validation details (10-fold Crossvalidation)
|
0.2703 ± 0.0009 Cross-validation details (10-fold Crossvalidation)
|
0.9011 ± 0.0028 Cross-validation details (10-fold Crossvalidation)
|