| 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 |
0.8697 ± 0.0021 Per class Cross-validation details (10-fold Crossvalidation)
|
0.7077 ± 0.0022 Per class Cross-validation details (10-fold Crossvalidation)
|
0.5444 ± 0.0075 Cross-validation details (10-fold Crossvalidation)
|
0.4147 ± 0.0026 Cross-validation details (10-fold Crossvalidation)
|
0.2135 ± 0.0011 Cross-validation details (10-fold Crossvalidation)
|
0.3194 ± 0 Cross-validation details (10-fold Crossvalidation)
|
83733 Per class Cross-validation details (10-fold Crossvalidation) |
0.7242 ± 0.0023 Per class Cross-validation details (10-fold Crossvalidation)
|
0.7147 ± 0.0047 Cross-validation details (10-fold Crossvalidation)
|
1.5995 ± 0.0003 Cross-validation details (10-fold Crossvalidation)
|
0.7147 ± 0.0047 Per class Cross-validation details (10-fold Crossvalidation)
|
0.6685 ± 0.0033 Cross-validation details (10-fold Crossvalidation)
|
0.3996 ± 0 Cross-validation details (10-fold Crossvalidation)
|
0.3162 ± 0.001 Cross-validation details (10-fold Crossvalidation)
|
0.7912 ± 0.0026 Cross-validation details (10-fold Crossvalidation)
|