Click Through Rate Prediction On Dianping
Metriken
AUC
Log Loss
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | AUC | Log Loss |
|---|---|---|
| wide-deep-learning-for-recommender-systems | 0.8361 | 0.3364 |
| deepfm-a-factorization-machine-based-neural | 0.8481 | 0.3333 |
| product-based-neural-networks-for-user | 0.8445 | 0.3424 |
| xdeepfm-combining-explicit-and-implicit | 0.8318 | - |
| xdeepfm-combining-explicit-and-implicit | 0.8639 | 0.3156 |