KDD

Benchmarks

Task Name	Dataset Name	SOTA Result
CTR Prediction	KDD 12	AUC0.8169	46
Click-through rate prediction	KDD12	AUC0.8127	39
Click-through Rate Prediction	KDD 12 (test)	AUC80.28	33
Time Series Anomaly Detection	KDD 21	Accuracy @161.6	25
Regression	KDD	Average Rel Abs Error0.49	16
Hyperparameter Classification	NSL-KDD (Abnormal)	Accuracy (%)100	10
Hyperparameter Classification	NSL-KDD Normal	Accuracy94	10
Regression	KDD	Average RRSE0.7	10
Streaming Class-Incremental Learning	KDD99	EN Accuracy99.6	10
Multi-class Classification	KDD99	Avg G-mean95.4	10
Anomaly Detection	KDD	Running Time (s)2.5	9
Anomaly Detection	KDD 50% (test)	F1 Score98.4	6
Runtime Evaluation	kdd	Runtime (s)0.146	5
Runtime Efficiency	kdd 25% query size	Runtime (s)0.137	5
MAP Inference	kdd 50% query size	Runtime (s)0.126	5
Density Estimation	kdd discrete (test)	Log-Likelihood-2.12	3
Classification of ensemble models (15 classes)	Abnormal KDD	Accuracy34.1	2
Classification of base learners (4 classes)	Abnormal KDD	Accuracy100	2
Classification of ensemble models (15 classes)	KDD Normal	Accuracy85.5	2
Classification of base learners (4 classes)	KDD Normal	Accuracy (KDD Normal)100	2
Recommendation	KDD 2010	P@1050.41	1

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