Split (1)

train · 24.8M rows

iter int64 0 7.65k	sample stringclasses 1 value	H0_H1 stringclasses 2 values	Hi stringclasses 27 values	n1 int64 20 1k	n2 int64 20 1k	perc int64 0 50	real_perc1 float64 0 95	real_perc2 float64 0 95	Peto_test float64 -7.97 10.1	Gehan_test float64 -10.22 8.5	logrank_test float64 -8.93 6.76	CoxMantel_test float64 -9.17 7.03	BN_GPH_test float64 0 109	BN_MCE_test float64 0 143	BN_SCE_test float64 0 114	Q_test float64 -8.08 10.1	MAX_Value_test float64 0 10.2	MIN3_test float64 0 1	WLg_logrank_test float64 0 84.2	WLg_TaroneWare_test float64 0 99.4	WLg_Breslow_test float64 0 106	WLg_PetoPrentice_test float64 0 71.9	WLg_Prentice_test float64 0 71.6	WKM_test float64 -8.89 10.7
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4	train	H1	H28	20	20	20	30	30	-0.2761	0.285319	-0.054419	-0.053543	0.908615	1.007194	0.865543	-0.053543	0.285319	0.648709	0.002867	0.025597	0.080677	0.195371	0.172705	-0.296379
4	train	H0	H28	30	30	20	20	26.666667	-0.666388	0.787705	-0.03539	-0.03525	3.819805	4.876814	4.009939	-0.03525	0.787705	0.134664	0.001243	0.193515	0.619745	1.403096	1.532543	-0.786861
4	train	H1	H28	30	30	20	6.666667	20	0.138867	-0.128099	-0.149295	-0.148779	0.024424	0.220312	0.022159	-0.148779	0.149295	0.897082	0.022135	0.013775	0.016318	0.000394	0.000028	0.129349
4	train	H0	H28	50	50	20	36	18	-2.837873	2.781522	2.837971	2.907751	8.616896	9.614479	8.659818	-2.837873	2.837971	0.00393	8.455016	8.379564	7.913579	4.225305	4.061709	-2.883748
4	train	H1	H28	50	50	20	18	8	-2.125583	2.084591	2.063803	2.098337	5.005622	5.832237	4.734431	-2.125583	2.084591	0.033982	4.403019	5.017247	4.410173	1.741165	1.80827	-2.120283
4	train	H0	H28	75	75	20	20	20	-1.393895	1.43822	0.988625	0.986357	2.570155	2.645712	2.493903	-1.393895	1.43822	0.145381	0.9729	1.738113	2.074642	0.020303	0.049707	-1.456043
4	train	H1	H28	75	75	20	16	20	0.505592	-0.428542	-1.081999	-1.08694	2.920026	3.366943	2.633504	-1.08694	1.081999	0.268004	1.181437	0.418774	0.183371	2.315162	2.164536	0.430721
4	train	H0	H28	100	100	20	23	12	-2.296544	2.169415	2.679709	2.714813	7.375341	11.217136	7.543614	2.714813	2.679709	0.010608	7.370211	6.48091	4.72139	5.983978	6.847623	-2.201374
4	train	H1	H28	100	100	20	23	20	-2.210886	2.162982	2.136067	2.153987	5.263422	6.2067	5.037725	-2.210886	2.162982	0.025701	4.639659	5.26265	4.716567	1.994863	2.36085	-2.230704
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4	train	H1	H28	150	150	20	23.333333	22.666667	1.324315	-1.391922	-1.053838	-1.053647	1.589926	4.591575	1.933573	-1.053647	1.391922	0.154731	1.110171	1.458894	1.941399	0.169954	0.137991	1.423017
4	train	H0	H28	200	200	20	14.5	15.5	-1.455678	1.498789	0.894897	0.894541	3.049047	2.961835	3.051623	-1.455678	1.498789	0.128806	0.800204	1.731418	2.249595	0.001241	0.000032	-1.518829
4	train	H1	H28	200	200	20	19	20.5	1.512547	-1.582601	-0.824746	-0.825065	3.486486	8.37389	4.354588	1.512547	1.582601	0.038885	0.680732	1.480312	2.507055	0.067111	0.078673	1.605827
4	train	H0	H28	300	300	20	20.333333	16.666667	-0.184941	0.126482	0.686997	0.68656	1.70418	1.66368	1.691348	-0.184941	0.686997	0.429268	0.471364	0.119521	0.015991	1.40212	1.352418	-0.129236
4	train	H1	H28	300	300	20	20	16.666667	-1.187044	1.077864	1.836241	1.839143	4.438563	4.884963	4.74038	-1.187044	1.836241	0.093463	3.382449	2.125464	1.162567	4.842429	4.916354	-1.100227
4	train	H0	H28	500	500	20	21.2	16.4	-1.713277	1.694659	1.551154	1.55191	3.280663	4.38108	2.935203	1.55191	1.694659	0.085349	2.408425	3.128829	2.871608	0.86051	0.858221	-1.720457
4	train	H1	H28	500	500	20	16.2	19.2	0.916968	-0.993648	-0.186452	-0.186435	1.883881	6.241327	3.271685	-0.186435	0.993648	0.100442	0.034758	0.275143	0.988448	0.558965	0.556414	1.007064
4	train	H0	H28	1,000	1,000	20	18.4	18.8	0.313115	-0.231705	-0.831226	-0.831651	1.600716	2.563714	1.862826	-0.831651	0.831226	0.393997	0.691644	0.255252	0.05368	1.591547	1.610442	0.23425
4	train	H1	H28	1,000	1,000	20	20.2	20.3	1.078805	-1.100427	-0.73285	-0.73273	1.259035	1.914178	1.565879	1.078805	1.100427	0.264126	0.536893	0.844165	1.211156	0.010556	0.007867	1.116692
4	train	H0	H28	20	20	30	20	20	-0.4214	0.311735	1.116145	1.172572	5.643068	5.757939	5.817306	1.172572	1.116145	0.054549	1.374925	0.491309	0.0976	4.776363	4.67911	-0.321189
4	train	H1	H28	20	20	30	35	30	-1.298845	1.323711	1.21479	1.216875	1.72527	2.107862	1.68853	-1.298845	1.323711	0.155685	1.480786	1.752534	1.751498	0.645533	0.791782	-1.419733
4	train	H0	H28	30	30	30	23.333333	53.333333	2.38775	-2.329822	-2.334642	-2.329124	5.730484	5.758437	5.721404	-2.329124	2.334642	0.015691	5.42482	5.62842	5.431757	2.770843	2.780253	2.416026
4	train	H1	H28	30	30	30	30	43.333333	0.347971	-0.336828	-0.327821	-0.324252	0.117207	0.126095	0.120068	-0.324252	0.336828	0.720892	0.105139	0.116395	0.112892	0.007999	0.024298	0.357266
4	train	H0	H28	50	50	30	28	34	0.527051	-0.462802	-0.620233	-0.621098	0.409298	0.513829	0.416324	-0.621098	0.620233	0.625259	0.385763	0.303013	0.214367	0.282187	0.29296	0.488411
4	train	H1	H28	50	50	30	32	30	0.199508	-0.400781	0.411933	0.411394	2.544138	3.261859	2.85567	0.411394	0.411933	0.239828	0.169245	0.001795	0.160407	1.674187	1.653129	0.411931
4	train	H0	H28	75	75	30	25.333333	34.666667	0.185031	-0.128625	-0.335195	-0.335074	0.236437	0.457963	0.264346	-0.335074	0.335195	0.87619	0.112275	0.053353	0.016516	0.167487	0.169397	0.133635
4	train	H1	H28	75	75	30	33.333333	30.666667	0.258587	-0.295995	-0.12131	-0.120841	0.134948	0.863798	0.196229	-0.120841	0.295995	0.760506	0.014603	0.036062	0.087442	0.043393	0.056959	0.304817
4	train	H0	H28	100	100	30	37	31	1.179024	-1.370422	-0.476136	-0.479584	5.652747	7.124021	5.152421	1.179024	1.370422	0.068048	0.230001	1.237397	1.884215	0.525901	0.416651	1.404503
4	train	H1	H28	100	100	30	31	30	0.388643	-0.444279	-0.077612	-0.077599	0.665049	2.463462	0.897817	-0.077599	0.444279	0.48193	0.006022	0.054911	0.197529	0.205932	0.211898	0.455368
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4	train	H1	H28	150	150	30	28	25.333333	-1.421804	1.408384	1.320737	1.318741	2.039797	2.058862	2.023317	-1.421804	1.408384	0.147193	1.739079	2.024152	1.985135	0.722718	0.791558	-1.449517
4	train	H0	H28	200	200	30	20	29.5	0.449877	-0.361574	-0.829676	-0.827461	1.36109	1.382522	1.331669	-0.827461	0.829676	0.513844	0.684692	0.295257	0.13064	1.20563	1.127168	0.371662
4	train	H1	H28	200	200	30	30.5	32.5	-0.13889	0.001923	0.518417	0.519406	0.945363	4.264634	1.282087	-0.13889	0.518417	0.23427	0.269782	0.08804	0.000004	0.978911	1.102561	-0.001951
4	train	H0	H28	300	300	30	29	29	-0.892667	0.940571	0.611243	0.610806	1.349575	1.771003	1.181723	0.610806	0.940571	0.336435	0.373085	0.778144	0.884657	0.001998	0.00334	-0.961233
4	train	H1	H28	300	300	30	32.333333	25	-0.221577	-0.13846	1.721881	1.733104	16.842598	18.038105	18.331403	1.733104	1.721881	0.000105	3.00365	0.482482	0.019212	12.157308	12.009625	0.135777
4	train	H0	H28	500	500	30	35.2	30.8	-0.459748	0.508832	0.362982	0.362984	0.175893	1.898839	0.247759	-0.459748	0.508832	0.593666	0.131757	0.174696	0.258848	0.017288	0.015067	-0.524697
4	train	H1	H28	500	500	30	29	29.6	-1.015833	0.883844	1.11718	1.119587	1.419079	8.429653	1.256436	-1.015833	1.11718	0.037919	1.253476	1.506076	0.782149	0.852639	0.952038	-0.907653
4	train	H0	H28	1,000	1,000	30	30.4	31.4	-0.663121	0.689108	0.46391	0.463854	0.746356	0.943226	0.621271	-0.663121	0.689108	0.479187	0.21516	0.466462	0.474918	0.002811	0.002728	-0.707611
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4	train	H0	H28	20	20	40	55	55	0.661825	-0.601775	-0.724333	-0.744442	0.684023	2.042986	0.6581	-0.744442	0.724333	0.508497	0.554193	0.415509	0.360835	0.237273	0.187037	0.661179
4	train	H1	H28	20	20	40	55	35	-0.364978	0.111679	0.91315	0.900145	4.380773	4.305391	4.383442	0.900145	0.91315	0.111724	0.81026	0.196585	0.012411	3.479273	3.349061	-0.162769
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4	train	H1	H28	50	50	40	34	36	1.659378	-1.806688	-1.165396	-1.175379	4.628516	6.003528	4.29756	1.659378	1.806688	0.06132	1.381516	2.791232	3.290179	0.013508	0.065601	1.87118
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4	train	H0	H28	100	100	40	52	38	-2.480341	2.497902	2.244722	2.247493	6.348574	7.489839	6.477775	2.247493	2.497902	0.009485	5.051226	5.768945	6.266066	1.446494	1.434594	-2.594066
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4	train	H1	H28	200	200	40	45.5	37.5	-1.736016	1.560877	2.152346	2.156286	5.81287	5.677029	5.822749	2.156286	2.152346	0.054401	4.649568	3.362663	2.442347	6.066435	5.936101	-1.616082
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4	train	H0	H28	75	75	50	42.666667	45.333333	1.083658	-1.104313	-1.044911	-1.045894	1.171751	1.178933	1.176235	-1.045894	1.104313	0.256044	1.093893	1.229022	1.222405	0.42087	0.469279	1.135791
4	train	H1	H28	75	75	50	50.666667	41.333333	-0.785952	0.807208	0.672147	0.671454	0.642063	1.564371	0.691707	-0.785952	0.807208	0.393654	0.45085	0.57768	0.65442	0.114725	0.090498	-0.853009
4	train	H0	H28	100	100	50	44	40	-0.760018	0.933678	0.408233	0.406094	1.301005	4.501293	1.658202	0.406094	0.933678	0.212175	0.164912	0.433967	0.871146	0.081358	0.118836	-0.970473
4	train	H1	H28	100	100	50	42	51	0.957683	-1.039856	-0.793683	-0.791136	1.021907	3.512007	1.136138	-0.791136	1.039856	0.274383	0.625896	0.806301	1.079488	0.048001	0.039297	1.093023
4	train	H0	H28	150	150	50	46	50.666667	0.265584	-0.046356	-0.597152	-0.595511	1.725346	2.020242	1.636506	-0.595511	0.597152	0.441202	0.354634	0.049798	0.002147	1.159421	1.062908	0.050185
4	train	H1	H28	150	150	50	50	47.333333	0.862861	-1.242588	-0.159265	-0.159245	7.07037	7.930962	7.389606	-0.159245	1.242588	0.024852	0.025359	0.623252	1.547555	1.719406	1.618046	1.296361
4	train	H0	H28	200	200	50	45.5	47	0.873963	-0.623367	-1.253505	-1.264318	3.371873	3.426618	3.324724	-1.264318	1.253505	0.18969	1.598501	0.745424	0.388633	2.957591	2.937602	0.638297
4	train	H1	H28	200	200	50	61	46	-2.016467	1.313843	2.856669	2.870284	18.077737	20.618375	18.693857	2.870284	2.856669	0.000087	8.238529	4.122403	1.727909	18.263526	18.276779	-1.378592
4	train	H0	H28	300	300	50	46.666667	49.666667	1.429543	-1.594103	-1.068893	-1.068084	3.262997	3.359646	3.336675	1.429543	1.594103	0.097324	1.140803	1.995674	2.541079	0.003832	0.005395	1.657968
4	train	H1	H28	300	300	50	52.666667	43.666667	-2.03799	1.422611	2.654986	2.66416	9.026453	20.621554	9.977855	-2.03799	2.654986	0.000126	7.097749	4.527105	2.026916	9.817654	10.356411	-1.507667
4	train	H0	H28	500	500	50	50.6	51	0.474455	-0.197642	-0.881942	-0.885414	3.199248	3.924357	3.016421	-0.885414	0.881942	0.221306	0.783958	0.171746	0.039053	2.409757	2.343831	0.205282
4	train	H1	H28	500	500	50	47	48.6	2.525392	-2.970211	-1.739255	-1.74072	10.874158	18.467945	12.225078	2.525392	2.970211	0.000352	3.030108	5.778781	8.851504	0.021899	0.0236	3.124185
4	train	H0	H28	1,000	1,000	50	49.5	50.5	0.392673	-0.075616	-0.750682	-0.750811	1.782932	8.341355	2.161833	0.392673	0.750682	0.039459	0.563717	0.210491	0.005717	1.711059	1.741121	0.079061
4	train	H1	H28	1,000	1,000	50	49.5	48.4	1.75406	-2.535185	-0.506511	-0.506572	18.702917	27.479047	20.863363	1.75406	2.535185	0.000005	0.256615	2.67129	6.43332	4.058892	4.047134	2.665351
4	train	H0	H29	20	20	0	0	0	0.324601	-0.324601	-0.525936	-0.520546	0.560701	3.21331	0.371888	-0.520546	0.525936	0.359892	0.270968	0.119409	0.10448	0.282702	0.179803	0.328736
4	train	H1	H29	20	20	0	0	0	-0.378701	0.378701	1.585381	1.726835	15.88574	15.730185	15.776676	-0.378701	1.585381	0.000375	2.981959	1.004508	0.145158	9.667453	9.358946	-0.383526
4	train	H0	H29	30	30	0	0	0	-1.374952	1.374952	1.308241	1.314672	1.767779	6.069173	1.935307	-1.374952	1.374952	0.108293	1.728362	1.734719	1.898688	0.87124	0.748823	-1.386555
4	train	H1	H29	30	30	0	0	0	1.463658	-1.463658	-0.366338	-0.365616	6.016058	5.841987	6.17996	1.463658	1.463658	0.045503	0.133675	1.103346	2.157266	0.695389	0.568196	1.47601
4	train	H0	H29	50	50	0	0	0	-1.923376	1.923376	1.099108	1.097556	5.473359	5.597807	5.204574	-1.923376	1.923376	0.053228	1.204629	2.887902	3.73271	0.050957	0.018408	-1.933065
4	train	H1	H29	50	50	0	0	0	-0.275753	0.275753	0.306001	0.304589	0.232791	4.129861	0.09307	-0.275753	0.306001	0.247779	0.092775	0.16856	0.076065	0.063209	0.140111	-0.277142
4	train	H0	H29	75	75	0	0	0	0.70852	-0.70852	-0.531175	-0.528116	0.332037	3.18157	0.536364	0.70852	0.70852	0.364469	0.278906	0.343736	0.501475	0.034022	0.013587	0.706139
4	train	H1	H29	75	75	0	0	0	-0.377752	0.377752	0.364873	0.361567	0.230426	0.803755	0.146994	-0.377752	0.377752	0.706558	0.130731	0.202961	0.142571	0.071377	0.110355	-0.376482
4	train	H0	H29	100	100	0	0	0	0.708583	-0.708583	-0.570761	-0.567158	0.52474	0.59543	0.511599	0.708583	0.708583	0.47748	0.321668	0.45557	0.501342	0.057762	0.080098	0.710361
4	train	H1	H29	100	100	0	0	0	1.62974	-1.62974	-1.633415	-1.655785	2.781536	15.103127	2.86863	1.62974	1.633415	0.001731	2.741624	2.319923	2.662786	1.575477	1.419449	1.63383
4	train	H0	H29	150	150	0	0	0	-0.455242	0.455242	0.653752	0.652685	0.538908	1.717806	0.480159	-0.455242	0.653752	0.632982	0.425997	0.286794	0.207099	0.496265	0.437405	-0.456003
4	train	H1	H29	150	150	0	0	0	1.333779	-1.333779	-0.395446	-0.393843	2.800457	5.221286	4.19077	1.333779	1.333779	0.123023	0.155112	0.814592	1.7819	0.408584	0.463134	1.336007
4	train	H0	H29	200	200	0	0	0	-1.047448	1.047448	1.18766	1.187948	1.434772	2.564512	1.411806	1.187948	1.18766	0.294289	1.41122	1.168042	1.096744	1.073108	1.00296	-1.04876
4	train	H1	H29	200	200	0	0	0	2.336216	-2.336216	-1.271991	-1.273326	4.301997	13.482343	7.923349	2.336216	2.336216	0.003702	1.621359	2.993635	5.495616	0.002199	0.010266	2.339142
4	train	H0	H29	300	300	0	0	0	0.811083	-0.811083	-1.163346	-1.162724	1.411966	2.163417	1.514696	-1.162724	1.163346	0.41693	1.351926	1.017353	0.657719	1.425895	1.51837	0.81176
4	train	H1	H29	300	300	0	0	0	2.528393	-2.528393	-1.825796	-1.830445	5.264447	4.74364	6.994286	2.528393	2.528393	0.01139	3.350528	4.635614	6.416268	0.478341	0.52016	2.530503
4	train	H0	H29	500	500	0	0	0	-0.410368	0.410368	1.173011	1.175724	3.417161	3.633866	2.933344	-0.410368	1.173011	0.230692	1.382327	0.438143	0.168384	2.731792	2.697948	-0.410573
4	train	H1	H29	500	500	0	0	0	1.452929	-1.452929	-1.369184	-1.373753	1.942833	11.519138	2.161051	-1.373753	1.452929	0.009226	1.887198	1.507268	2.113366	0.893913	0.825022	1.453656
4	train	H0	H29	1,000	1,000	0	0	0	-1.291859	1.291859	0.678991	0.678362	1.265752	3.08857	2.451691	-1.291859	1.291859	0.196294	0.460174	0.899956	1.669383	0.016333	0.020759	-1.292182
4	train	H1	H29	1,000	1,000	0	0	0	3.177995	-3.177995	-1.627744	-1.633447	6.718385	44.579785	15.405387	3.177995	3.177995	0	2.668148	4.942078	10.12913	0.071111	0.091122	3.17879

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