Click-Through Rate Prediction on Avazu

Metric: AUC (higher is better)

LeaderboardDataset

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Results

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#	Model↕	AUC▼	Extra Data	Paper	Date↕	Code
1	OptInter	0.8062	No	Memorize, Factorize, or be Naïve: Learning Optim...	2021-08-03	Code
2	OptInter-M	0.806	No	Memorize, Factorize, or be Naïve: Learning Optim...	2021-08-03	Code
3	CELS	0.8001	No	-	-	Code
4	FCN	0.797	No	FCN: Fusing Exponential and Linear Cross Network...	2024-07-18	Code
5	CETN	0.7962	No	CETN: Contrast-enhanced Through Network for CTR ...	2023-12-15	Code
6	OptFS	0.795	No	Optimizing Feature Set for Click-Through Rate Pr...	2023-01-26	Code
7	OptEmbed	0.7902	No	OptEmbed: Learning Optimal Embedding Table for C...	2022-08-09	Code
8	Sparse Deep FwFM	0.7897	No	DeepLight: Deep Lightweight Feature Interactions...	2020-02-17	Code
9	FGCNN+IPNN	0.7883	No	Feature Generation by Convolutional Neural Netwo...	2019-04-09	Code
10	Fi-GNN	0.7762	No	Fi-GNN: Modeling Feature Interactions via Graph ...	2019-10-12	Code
11	AutoInt	0.7752	No	AutoInt: Automatic Feature Interaction Learning ...	2018-10-29	Code
12	FinalMLP + MMBAttn	0.7666	No	MMBAttn: Max-Mean and Bit-wise Attention for CTR...	2023-08-25	-
13	DNN + MMBAttn	0.765	No	MMBAttn: Max-Mean and Bit-wise Attention for CTR...	2023-08-25	-
14	AFN+	0.7555	No	Adaptive Factorization Network: Learning Adaptiv...	2019-09-07	Code
15	FLEN	0.75	No	FLEN: Leveraging Field for Scalable CTR Prediction	2019-11-12	Code