party2d/validation/outputs/ppc/posterior_predictive_by_dimension_source.csv

1	dim_idx	project	n	covered	missed	observed_coverage	coverage_ci_lower	coverage_ci_upper	mean_interval_width	share_of_all_misses
2	2	V-Party	14114	11834	2280	0.8384582683859997	0.8322945450978664	0.8444377961971373	0.37621761885573124	0.7293666026871402
3	1	V-Party	5645	4940	705	0.87511071744907	0.8662305886687013	0.883480644161761	0.3969707693328323	0.2255278310940499
4	2	CHES	1176	1109	67	0.9430272108843537	0.9282799190767855	0.9548894826462931	0.26190336027902683	0.02143314139475368
5	1	CHES	1177	1145	32	0.9728122344944775	0.9618713612264376	0.9806767332851378	0.2537544114580155	0.010236724248240563
6	2	GPS	249	227	22	0.9116465863453815	0.8698544742943817	0.940929827023123	0.2281137815345669	0.007037747920665387
7	1	GPS	249	234	15	0.9397590361445783	0.9029977562632928	0.9631571802661391	0.23441440673165534	0.0047984644913627635
8	1	POPPA	384	379	5	0.9869791666666666	0.9698853213826314	0.9944258819539885	0.2668966115681637	0.001599488163787588