| 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 |
0.9951 ± 0.0006 Per class Cross-validation details (10-fold Crossvalidation)
|
0.9699 ± 0.002 Per class Cross-validation details (10-fold Crossvalidation)
|
0.9259 ± 0.005 Cross-validation details (10-fold Crossvalidation)
|
0.8545 ± 0.0059 Cross-validation details (10-fold Crossvalidation)
|
0.065 ± 0.0023 Cross-validation details (10-fold Crossvalidation)
|
0.4081 ± 0.0001 Cross-validation details (10-fold Crossvalidation)
|
34465 Per class Cross-validation details (10-fold Crossvalidation) |
0.9699 ± 0.0021 Per class Cross-validation details (10-fold Crossvalidation)
|
0.97 ± 0.002 Cross-validation details (10-fold Crossvalidation)
|
0.863 ± 0.0002 Cross-validation details (10-fold Crossvalidation)
|
0.97 ± 0.002 Per class Cross-validation details (10-fold Crossvalidation)
|
0.1592 ± 0.0057 Cross-validation details (10-fold Crossvalidation)
|
0.4517 ± 0.0001 Cross-validation details (10-fold Crossvalidation)
|
0.1558 ± 0.0045 Cross-validation details (10-fold Crossvalidation)
|
0.3449 ± 0.01 Cross-validation details (10-fold Crossvalidation)
|