| 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 |
0.9028 ± 0.0091 Per class Cross-validation details (10-fold Crossvalidation)
|
0.8111 ± 0.0065 Per class Cross-validation details (10-fold Crossvalidation)
|
0.6035 ± 0.0135 Cross-validation details (10-fold Crossvalidation)
|
0.3847 ± 0.0082 Cross-validation details (10-fold Crossvalidation)
|
0.3154 ± 0.0035 Cross-validation details (10-fold Crossvalidation)
|
0.4801 ± 0 Cross-validation details (10-fold Crossvalidation)
|
20000 Per class Cross-validation details (10-fold Crossvalidation) |
0.8407 ± 0.0053 Per class Cross-validation details (10-fold Crossvalidation)
|
0.8208 ± 0.0058 Cross-validation details (10-fold Crossvalidation)
|
0.971 ± 0.0001 Cross-validation details (10-fold Crossvalidation)
|
0.8208 ± 0.0058 Per class Cross-validation details (10-fold Crossvalidation)
|
0.657 ± 0.0073 Cross-validation details (10-fold Crossvalidation)
|
0.4899 ± 0 Cross-validation details (10-fold Crossvalidation)
|
0.3673 ± 0.0038 Cross-validation details (10-fold Crossvalidation)
|
0.7497 ± 0.0078 Cross-validation details (10-fold Crossvalidation)
|