BenchmarkACIC 2016 数据集
ACIC 2016
A dataset used in the 2016 ACIC causal inference competition. It is commonly used to evaluate the performance of causal effect estimation models and contains thousands of units.
Timeline (last 90 days)
Oct 19
On the ACIC 2016 dataset, temperature-calibrated CausalPFN 95% intervals have coverage below the nominal level when the group size exceeds 30 units (out of 4802 total units).
Unverified50%