Automl On Madeline
Métriques
Duration
Rank (AutoML5)
Set1 (F1)
Set2 (PAC)
Set3 (AUC)
Set4 (ABS)
Set5 (BAC)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
Nom du modèle | Duration | Rank (AutoML5) | Set1 (F1) | Set2 (PAC) | Set3 (AUC) | Set4 (ABS) | Set5 (BAC) |
---|---|---|---|---|---|---|---|
analysis-of-the-automl-challenge-series-2015 | 5842.12 | 3.00 | 0.7531 | 0.3905 | 0.6875 | 0.3067 | 0.5517 |
analysis-of-the-automl-challenge-series-2015 | 5942.22 | 1.60 | 0.7947 | 0.4061 | 0.5543 | 0.2957 | 0.5900 |
analysis-of-the-automl-challenge-series-2015 | 3343.64 | 5.20 | 0.7542 | 0.2802 | 0.3333 | 0.1507 | 0.5564 |
analysis-of-the-automl-challenge-series-2015 | 4353.45 | 4.60 | 0.7565 | 0.0172 | 0.2911 | 0.2791 | 0.5595 |
analysis-of-the-automl-challenge-series-2015 | 4889.14 | 5.20 | 0.7005 | 0.3698 | 0.6776 | 0.2507 | 0.4618 |
analysis-of-the-automl-challenge-series-2015 | 4603.81 | 6.40 | 0.7005 | 0.3698 | -1.0000 | 0.2507 | 0.4618 |
analysis-of-the-automl-challenge-series-2015 | 4416.40 | 4.40 | 0.7556 | 0.0343 | 0.2927 | 0.2790 | 0.5601 |
analysis-of-the-automl-challenge-series-2015 | 5879.88 | 4.00 | 0.7062 | 0.3708 | 0.5384 | 0.2856 | 0.5580 |