Table 18: Full output of the linear model assessing the impact of data-centric processing on the feature selection task. The model has the following formula: spearmans_r  $\sim$  dataset_id*generative_model + preprocessing_strategy + postprocessing_strategy.
coef	std err	t	P> |t|	[0.02S, 0.975]
Intercept	0.7391	0.028	26.413	0.000	0.684	0.794
dataset_id[T3.61060]	-1.1264	0.039	-29.011	0.000	-1.203	-1.050
dataset_id[T3.61062]	-0.3920	0.039	-10.095	0.000	-0.468	-0.316
dataset_id[T3.61063]	-0.7461	0.039	-19.217	0.000	-0.822	-0.670
dataset_id[T3.61065]	-0.7883	0.039	-20.301	0.000	-0.864	-0.712
dataset_id[T3.61066]	-1.1443	0.039	-29.471	0.000	-1.220	-1.068
dataset_id[T3.61070]	-0.6526	0.039	-16.806	0.000	-0.729	-0.576
dataset_id[T3.61273]	0.1191	0.082	1.446	0.148	-0.042	0.281
dataset_id[T3.61275]	-0.2040	0.016	-12.903	0.000	-0.235	-0.173
dataset_id[T3.61277]	-0.5915	0.039	-15.233	0.000	-0.668	-0.515
dataset_id[T3.61278]	-0.2893	0.016	-18.462	0.000	-0.320	-0.259
generative_model[Tetgan]	0.1076	0.040	2.677	0.008	0.029	0.186
generative_model[Ttdpam]	0.1549	0.039	3.990	0.000	0.079	0.231
generative_model[Tafow]	0.0326	0.039	0.839	0.402	-0.044	0.109
generative_model[Tavae]	-0.0742	0.039	-1.912	0.056	-0.150	0.002
preprocessing_strategy[Teasy-hard]	0.0129	0.008	1.693	0.091	-0.002	0.028
postprocessing_strategy[Tno-hard]	0.0029	0.008	0.377	0.706	-0.012	0.018
dataset_id[T3.61060][generative_model[Tetgan]	0.9020	0.057	15.869	0.000	0.791	1.013
dataset_id[T3.61062][generative_model[Tetgan]	-0.0035	0.056	-0.062	0.950	-0.113	0.106
dataset_id[T3.61063][generative_model[Tetgan]	0.6861	0.056	12.277	0.000	0.576	0.796
dataset_id[T3.61065][generative_model[Tetgan]	0.8420	0.056	15.068	0.000	0.732	0.952
dataset_id[T3.61066][generative_model[Tetgan]	0.6424	0.056	11.496	0.000	0.533	0.752
dataset_id[T3.61070][generative_model[Tetgan]	-0.2157	0.056	-3.859	0.000	-0.325	-0.106
dataset_id[T3.61273][generative_model[Tetgan]	-0.0585	0.092	-0.658	0.524	-0.238	0.121
dataset_id[T3.61275][generative_model[Tetgan]	-0.0154	0.035	-0.441	0.808	-0.084	0.035
dataset_id[T3.61278][generative_model[Tetgan]	0.6626	0.056	11.855	0.000	0.553	0.772
dataset_id[T3.61278][generative_model[Tetgan]	-0.0062	0.035	-0.178	0.859	-0.075	0.062
dataset_id[T3.61060][generative_model[Tedpam]	1.1565	0.055	21.061	0.000	1.049	1.264
dataset_id[T3.61062][generative_model[Tedpam]	0.0169	0.055	0.308	0.758	-0.091	0.125
dataset_id[T3.61063][generative_model[Tedpam]	0.7857	0.055	14.309	0.000	0.678	0.893
dataset_id[T3.61064][generative_model[Tedpam]	0.8345	0.055	15.197	0.000	0.727	0.942
dataset_id[T3.61066][generative_model[Tedpam]	0.3339	0.055	6.081	0.000	0.226	0.442
dataset_id[T3.61070][generative_model[Tedpam]	-0.2618	0.055	-4.768	0.000	-0.370	-0.154
dataset_id[T3.61273][generative_model[Tedpam]	-0.0601	0.091	-0.660	0.510	-0.239	0.119
dataset_id[T3.61275][generative_model[Tedpam]	-0.2600	0.035	-7.448	0.000	-0.329	-0.192
dataset_id[T3.61277][generative_model[Tedpam]	0.6687	0.055	12.179	0.000	0.561	0.76
dataset_id[T3.61278][generative_model[Tedpam]	-0.2341	0.034	-6.902	0.000	-0.301	-0.168
dataset_id[T3.61060][generative_model[Tafaw]	0.7911	0.055	14.407	0.000	0.683	0.899
dataset_id[T3.61062][generative_model[Tafaw]	-0.3605	0.055	-6.564	0.000	-0.468	-0.253
dataset_id[T3.61063][generative_model[Tafaw]	0.5161	0.055	9.400	0.000	0.408	0.624
dataset_id[T3.61065][generative_model[Tafaw]	0.5458	0.055	9.940	0.000	0.438	0.654
dataset_id[T3.61066][generative_model[Tafaw]	0.6583	0.055	11.988	0.000	0.551	0.766
dataset_id[T3.61070][generative_model[Tafaw]	-0.2076	0.055	-3.780	0.000	-0.315	-0.100
dataset_id[T3.61273][generative_model[Tafaw]	-0.1531	0.091	-1.681	0.093	-0.332	0.025
dataset_id[T3.61275][generative_model[Tafaw]	-0.0690	0.034	-2.031	0.042	-0.136	-0.002
dataset_id[T3.61277][generative_model[Tafaw]	0.6371	0.055	11.602	0.000	0.529	0.745
dataset_id[T3.61278][generative_model[Tafaw]	-0.2948	0.034	-8.694	0.000	-0.311	-0.228
dataset_id[T3.61060][generative_model[Tifav]	1.1245	0.055	20.478	0.000	1.017	1.232
dataset_id[T3.61062][generative_model[Tifav]	0.1828	0.055	3.329	0.001	0.075	0.291
dataset_id[T3.61063][generative_model[Tifav]	0.9820	0.055	17.883	0.000	8.874	1.090
dataset_id[T3.61065][generative_model[Tifav]	0.9466	0.055	17.239	0.000	8.839	1.054
dataset_id[T3.61066][generative_model[Tifav]	1.0318	0.055	18.791	0.000	9.244	1.146
dataset_id[T3.61070][generative_model[Tifav]	0.3118	0.055	5.675	0.000	0.204	0.419
dataset_id[T3.61273][generative_model[Tifav]	0.1300	0.091	1.428	0.153	-0.049	0.309
dataset_id[T3.61275][generative_model[Tifav]	0.1405	0.034	4.135	0.000	0.074	0.207
dataset_id[T3.61277][generative_model[Tifav]	0.8421	0.055	15.336	0.000	0.734	0.950
dataset_id[T3.61278][generative_model[Tifav]	0.2458	0.034	7.249	0.000	0.179	0.312