| 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 |
0.9916 ± 0.0004 Per class Cross-validation details (10-fold Crossvalidation)
|
0.8869 ± 0.0038 Per class Cross-validation details (10-fold Crossvalidation)
|
0.8757 ± 0.004 Cross-validation details (10-fold Crossvalidation)
|
0.8538 ± 0.0019 Cross-validation details (10-fold Crossvalidation)
|
0.0437 ± 0.0005 Cross-validation details (10-fold Crossvalidation)
|
0.18 Cross-validation details (10-fold Crossvalidation)
|
70000 Per class Cross-validation details (10-fold Crossvalidation) |
0.8872 ± 0.0037 Per class Cross-validation details (10-fold Crossvalidation)
|
0.8881 ± 0.0036 Cross-validation details (10-fold Crossvalidation)
|
3.3219 Cross-validation details (10-fold Crossvalidation)
|
0.8881 ± 0.0036 Per class Cross-validation details (10-fold Crossvalidation)
|
0.2425 ± 0.0025 Cross-validation details (10-fold Crossvalidation)
|
0.3 Cross-validation details (10-fold Crossvalidation)
|
0.1324 ± 0.0012 Cross-validation details (10-fold Crossvalidation)
|
0.4414 ± 0.0039 Cross-validation details (10-fold Crossvalidation)
|