| 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 |
0.8632 ± 0.0137 Per class Cross-validation details (10-fold Crossvalidation)
|
0.9431 ± 0.0028 Per class Cross-validation details (10-fold Crossvalidation)
|
0.4279 ± 0.0306 Cross-validation details (10-fold Crossvalidation)
|
-0.1138 ± 0.0569 Cross-validation details (10-fold Crossvalidation)
|
0.0772 ± 0.0026 Cross-validation details (10-fold Crossvalidation)
|
0.1091 ± 0.0001 Cross-validation details (10-fold Crossvalidation)
|
32769 Per class Cross-validation details (10-fold Crossvalidation) |
0.9407 ± 0.0032 Per class Cross-validation details (10-fold Crossvalidation)
|
0.9489 ± 0.0022 Cross-validation details (10-fold Crossvalidation)
|
0.319 ± 0.0006 Cross-validation details (10-fold Crossvalidation)
|
0.9489 ± 0.0022 Per class Cross-validation details (10-fold Crossvalidation)
|
0.7072 ± 0.0238 Cross-validation details (10-fold Crossvalidation)
|
0.2335 ± 0.0003 Cross-validation details (10-fold Crossvalidation)
|
0.2018 ± 0.0039 Cross-validation details (10-fold Crossvalidation)
|
0.8643 ± 0.0167 Cross-validation details (10-fold Crossvalidation)
|