| 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 |
0.9307 ± 0.0067 Per class Cross-validation details (10-fold Crossvalidation)
|
0.8981 ± 0.005 Per class Cross-validation details (10-fold Crossvalidation)
|
0.4724 ± 0.0267 Cross-validation details (10-fold Crossvalidation)
|
0.2071 ± 0.0209 Cross-validation details (10-fold Crossvalidation)
|
0.1298 ± 0.0027 Cross-validation details (10-fold Crossvalidation)
|
0.2066 ± 0.0001 Cross-validation details (10-fold Crossvalidation)
|
45211 Per class Cross-validation details (10-fold Crossvalidation) |
0.8954 ± 0.0055 Per class Cross-validation details (10-fold Crossvalidation)
|
0.906 ± 0.0044 Cross-validation details (10-fold Crossvalidation)
|
0.5206 ± 0.0002 Cross-validation details (10-fold Crossvalidation)
|
0.906 ± 0.0044 Per class Cross-validation details (10-fold Crossvalidation)
|
0.6282 ± 0.013 Cross-validation details (10-fold Crossvalidation)
|
0.3214 ± 0.0001 Cross-validation details (10-fold Crossvalidation)
|
0.2518 ± 0.0045 Cross-validation details (10-fold Crossvalidation)
|
0.7834 ± 0.0141 Cross-validation details (10-fold Crossvalidation)
|