| 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 |
0.9915 ± 0.0017 Per class Cross-validation details (10-fold Crossvalidation)
|
0.9929 ± 0.0012 Per class Cross-validation details (10-fold Crossvalidation)
|
0.7881 ± 0.0376 Cross-validation details (10-fold Crossvalidation)
|
0.0292 ± 0.0768 Cross-validation details (10-fold Crossvalidation)
|
0.0139 ± 0.0012 Cross-validation details (10-fold Crossvalidation)
|
0.0355 ± 0.0001 Cross-validation details (10-fold Crossvalidation)
|
76000 Per class Cross-validation details (10-fold Crossvalidation) |
0.993 ± 0.0011 Per class Cross-validation details (10-fold Crossvalidation)
|
0.9934 ± 0.001 Cross-validation details (10-fold Crossvalidation)
|
0.1306 ± 0.0004 Cross-validation details (10-fold Crossvalidation)
|
0.9934 ± 0.001 Per class Cross-validation details (10-fold Crossvalidation)
|
0.3923 ± 0.0351 Cross-validation details (10-fold Crossvalidation)
|
0.1333 ± 0.0003 Cross-validation details (10-fold Crossvalidation)
|
0.074 ± 0.0046 Cross-validation details (10-fold Crossvalidation)
|
0.555 ± 0.0347 Cross-validation details (10-fold Crossvalidation)
|