Click Through Rate Prediction On Kdd12
Metriken
AUC
Log Loss
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | AUC | Log Loss |
|---|---|---|
| optimizing-feature-set-for-click-through-rate | 0.7988 | 0.1527 |
| optembed-learning-optimal-embedding-table-for | 0.8028 | 0.1521 |
| autoint-automatic-feature-interaction | 0.7881 | 0.1545 |
| dcnv3-towards-next-generation-deep-cross | 0.8098 | 0.1494 |
| memonet-memorizing-representations-of-all | 0.8060 | - |