Click Through Rate Prediction On Company
Métriques
AUC
Log Loss
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | AUC | Log Loss |
|---|---|---|
| wide-deep-learning-for-recommender-systems | 0.8661 | 0.02640 |
| representation-learning-assisted-click | 0.7674 | 0.2341 |
| product-based-neural-networks-for-user | 0.8658 | 0.02641 |
| wide-deep-learning-for-recommender-systems | 0.8673 | 0.02634 |
| deepfm-a-factorization-machine-based-neural | 0.8715 | 0.02618 |
| product-based-neural-networks-for-user | 0.8672 | 0.02636 |
| deep-learning-over-multi-field-categorical | 0.8683 | 0.02629 |
| product-based-neural-networks-for-user | 0.8664 | 0.02637 |