Cancer

Benchmarks

Task Name	Dataset Name	SOTA Result
Data Imputation	Cancer	Accuracy73.51	28
Bayesian network structure discovery	Cancer	SHD0	24
Causal Discovery	Cancer linear synthetic	Dtop0	17
Clustering	Cancer	ARI73	15
Node Classification	Cancer (test)	Accuracy94.4	13
Regression	Cancer Dataset	MSE1.25	10
Regression	Cancer (test)	MSE-6	10
Hierarchical Agglomerative Clustering	cancer	ARI56.1	10
Causal order recovery	Cancer non-linear synthetic	D_top Score3.92	9
Estimating causal orders	Cancer linear synthetic standard	SHD0	9
Causal Order Estimation	Cancer non-linear synthetic	SHD2.67	9
Binary Classification	CANCER	Accuracy70.2	9
Total Effect Estimation	Cancer	Epsilon ATE0	8
Causal Discovery	Cancer linear synthetic data	SHD0	8
Reward Weighting Adaptation	Cancer (held-out λnk ∈ {1, 2, 3, 4, 6, 7, 8, 9})	Reward102.49	8
Causal Discovery	Cancer (d=5, \|E\|=4) small-scale (test)	Precision1	8
Classification	Cancer	Accuracy96.6	7
Bayesian Inference	Cancer 31D	ELBO39.54	6
Scan-level report labelling	Cancer (test)	Balanced Accuracy100	6
Skeleton Estimation	cancer	F1 Score1	4
Causal Discovery	Cancer	Precision89	4
Continuous-Time Treatment Optimization	Cancer Relative	Avg Spearman Correlation0.23	3
Continuous-Time Treatment Optimization	Cancer Explicit	Avg Spearman Correlation0.4	3
Treatment Optimization	Cancer Relative	Avg True Cost73.42	3
Treatment Optimization	Cancer Explicit	Average True Cost242.07	3

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