AUC: 0.84Log Loss: 0.2649
Papers with Code · CC BY-SA 4.0
Click-Through Rate Prediction
Click-through rate prediction is the task of predicting the likelihood that something on a website (such as an advertisement) will be clicked.
<span style="color:grey; opacity: 0.6">( Image credit: Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction )</span>
논문
AUC: 0.8534
AUC: 0.8376Log Loss: 0.2671
AUC: 0.8557
AUC: 0.8062LogLoss: 0.3637
AUC: 0.7666
AUC: 0.7555
AUC: 0.7962
AUC: 0.8001LogLoss: 0.3678
AUC: 0.8531
AUC: 0.8537
AUC: 0.7897LogLoss: 0.3748
AUC: 0.659
AUC: 0.7883LogLoss: 0.3746
AUC: 0.7762LogLoss: 0.3825
AUC: 0.9861
AUC: 0.75
AUC: 0.7902LogLoss: 0.374
AUC: 0.795LogLoss: 0.3709
AUC: 0.8321Log Loss: 0.2775
AUC: 0.678Accuracy: 63.2
AUC: 0.9872
AUC: 0.8377Log Loss: 0.2668