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	H0	H13	30	30	10	10	10	-0.629035	0.688114	-0.398538	-0.403604	5.419815	6.852132	6.038809	-0.629035	0.688114	0.04883	0.162896	0.05247	0.475213	2.861647	2.900956	-0.691853
4	train	H1	H13	30	30	10	16.666667	10	0.085622	-0.084378	0.17401	0.173081	0.924031	10.248919	0.376541	0.173081	0.17401	0.016565	0.029957	0.012163	0.007105	0.191149	0.086818	0.068808
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4	train	H0	H13	100	100	10	10	9	-0.531071	0.511175	0.739301	0.73783	0.655057	0.744697	0.636952	0.73783	0.739301	0.606826	0.544393	0.364774	0.260821	0.727259	0.686998	-0.514609
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4	train	H0	H13	200	200	10	7.5	6.5	0.088382	-0.103871	0.02172	0.021663	0.013262	1.61336	0.054594	0.021663	0.103871	0.656364	0.000469	0.001424	0.01078	0.027823	0.048426	0.103954
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4	train	H1	H13	300	300	10	7.666667	11	1.919192	-1.887854	-2.357409	-2.369094	5.684922	7.107828	5.801084	1.919192	2.357409	0.054993	5.612608	4.761487	3.569894	5.045248	5.220644	1.901383
4	train	H0	H13	500	500	10	7.6	6.6	-1.74344	1.732925	1.972162	1.977131	3.966337	4.409836	3.909335	-1.74344	1.972162	0.081097	3.909047	3.222454	3.003976	2.974591	2.950057	-1.744355
4	train	H1	H13	500	500	10	9	10	-0.189827	0.296251	-1.69371	-1.704982	16.281357	15.980845	17.73515	-1.704982	1.69371	0.000141	2.906962	0.272533	0.087839	12.000837	11.869919	-0.296161
4	train	H0	H13	1,000	1,000	10	9	9.2	0.775674	-0.746947	-1.333694	-1.335445	2.716382	2.822527	2.605993	0.775674	1.333694	0.271716	1.783413	0.956917	0.557916	2.544592	2.517368	0.751597
4	train	H1	H13	1,000	1,000	10	10.5	11.6	1.251808	-1.137869	-2.943278	-2.96835	18.428226	19.031879	19.458491	-2.96835	2.943278	0.00006	8.811101	3.762377	1.295396	17.755136	17.726915	1.140398
4	train	H0	H13	20	20	20	10	10	0.825662	-0.883322	-0.22643	-0.229794	3.135647	6.075672	2.622196	-0.229794	0.883322	0.107986	0.052805	0.456225	0.778802	0.348443	0.228257	0.881471
4	train	H1	H13	20	20	20	35	35	0.706988	-0.507531	-1.020897	-1.065354	2.916848	4.153154	2.796728	-1.065354	1.020897	0.245394	1.13498	0.527943	0.256719	2.120993	1.920885	0.53389
4	train	H0	H13	30	30	20	16.666667	30	2.019	-2.034782	-1.802156	-1.818176	4.072389	4.800493	4.167576	2.019	2.034782	0.037622	3.305763	3.938282	4.183569	1.116837	1.125069	2.07895
4	train	H1	H13	30	30	20	26.666667	26.666667	0.904092	-0.868762	-0.966838	-0.977142	0.956788	0.968575	0.956381	-0.977142	0.966838	0.375284	0.954807	0.878053	0.754365	0.538811	0.54521	0.886618
4	train	H0	H13	50	50	20	22	16	-0.484245	0.510743	0.376405	0.371668	0.1843	1.558468	0.26276	0.371668	0.510743	0.601025	0.138137	0.16842	0.259862	0.044658	0.019217	-0.522927
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4	train	H0	H13	75	75	40	48	45.333333	-0.299044	0.095899	0.689247	0.689348	2.192612	2.776053	2.31427	0.689348	0.689247	0.314386	0.4752	0.114284	0.009186	2.019612	2.049508	-0.105511
4	train	H1	H13	75	75	40	33.333333	38.666667	0.19892	-0.122997	-0.399767	-0.398818	0.507191	0.490856	0.516378	-0.398818	0.399767	0.772449	0.159056	0.052885	0.015109	0.330999	0.284878	0.134569
4	train	H0	H13	100	100	40	39	43	0.691328	-0.650596	-0.809426	-0.807637	0.712852	0.714546	0.712647	-0.807637	0.809426	0.491721	0.652277	0.537071	0.421002	0.543506	0.495682	0.687574
4	train	H1	H13	100	100	40	36	42	1.326172	-1.274768	-1.470325	-1.469147	2.223248	2.738468	2.187207	-1.469147	1.470325	0.185431	2.158394	1.772158	1.628117	1.554953	1.514611	1.324217
4	train	H0	H13	150	150	40	42.666667	43.333333	-0.682515	0.925814	0.072803	0.072793	4.428293	4.285544	4.588571	0.072793	0.925814	0.100833	0.005299	0.343292	0.857284	1.243029	1.137561	-0.955401
4	train	H1	H13	150	150	40	31.333333	42.666667	1.221875	-1.05842	-1.554165	-1.551031	2.943922	3.244532	2.990253	-1.551031	1.554165	0.22422	2.405696	1.666511	1.119608	2.781796	2.826828	1.096172
4	train	H0	H13	200	200	40	50.5	40.5	-0.978316	1.068929	0.91453	0.914653	0.922238	1.822307	0.965564	-0.978316	1.068929	0.267765	0.836591	1.009	1.14228	0.376292	0.347968	-1.108224
4	train	H1	H13	200	200	40	39	39	1.05924	-0.771608	-1.580264	-1.601603	4.52521	9.434272	4.980302	-1.601603	1.580264	0.024041	2.565133	1.417965	0.596387	4.621389	4.76555	0.792295
4	train	H0	H13	300	300	40	43	41.333333	0.220956	-0.289836	-0.044361	-0.04433	0.375847	0.436482	0.350089	-0.04433	0.289836	0.763523	0.001965	0.046853	0.083961	0.099146	0.099628	0.300857
4	train	H1	H13	300	300	40	35.666667	37	0.175603	-0.036143	-0.558636	-0.558065	1.37146	1.317279	1.457903	0.175603	0.558636	0.482414	0.311436	0.071824	0.001306	1.018799	0.941065	0.037911
4	train	H0	H13	500	500	40	40.8	40	-0.743292	0.872577	0.284363	0.284425	2.701441	4.371176	2.378088	-0.743292	0.872577	0.224073	0.080898	0.489459	0.761319	0.355491	0.268348	-0.899828
4	train	H1	H13	500	500	40	43	39.6	-0.149421	0.363107	-0.276943	-0.277944	1.795531	4.952904	2.12665	-0.277944	0.363107	0.175278	0.077253	0.002871	0.131845	1.000924	1.064378	-0.379695
4	train	H0	H13	1,000	1,000	40	40.1	41.5	-0.154147	0.245948	0.018665	0.018671	0.137388	1.139806	0.200711	0.018671	0.245948	0.767475	0.000349	0.015212	0.060526	0.043152	0.043951	-0.253536
4	train	H1	H13	1,000	1,000	40	38.8	37	-0.188404	0.549175	-0.744995	-0.747871	7.715181	10.360273	8.49799	-0.747871	0.744995	0.014279	0.559312	0.000109	0.30165	4.667643	4.830245	-0.569759
4	train	H0	H13	20	20	50	50	50	0.20211	-0.195339	-0.34048	-0.337406	0.438798	1.345953	0.396694	-0.337406	0.34048	0.718251	0.113843	0.042494	0.038045	0.166509	0.0888	0.223343
4	train	H1	H13	20	20	50	60	30	-1.720797	1.75394	1.721397	1.719454	3.029543	4.458057	3.007632	1.719454	1.75394	0.067841	2.956522	3.264582	3.105873	2.096085	2.460292	-1.826062
4	train	H0	H13	30	30	50	43.333333	40	-0.764918	1.059174	0.14925	0.148534	5.821926	7.149466	5.575307	0.148534	1.059174	0.061566	0.022062	0.513459	1.119639	1.759836	1.626041	-1.066263
4	train	H1	H13	30	30	50	46.666667	33.333333	-0.517751	0.495521	0.697507	0.692229	0.727217	0.730577	0.728325	-0.517751	0.697507	0.597994	0.479181	0.350167	0.245029	0.920788	0.923037	-0.527287
4	train	H0	H13	50	50	50	38	48	1.188322	-1.183347	-1.123212	-1.118528	1.429079	1.493242	1.415307	1.188322	1.183347	0.219812	1.251105	1.437941	1.399009	0.397983	0.431884	1.227027
4	train	H1	H13	50	50	50	54	52	0.387522	-0.510135	-0.212887	-0.212556	0.779004	1.123929	0.743021	-0.212556	0.510135	0.597823	0.04518	0.180435	0.259823	0.138763	0.112365	0.527534
4	train	H0	H13	75	75	50	49.333333	37.333333	-1.001889	0.954822	1.066636	1.066895	1.175037	4.362785	1.1463	1.066895	1.066636	0.224861	1.138265	0.890968	0.911118	0.986542	0.840519	-0.990183
4	train	H1	H13	75	75	50	57.333333	54.666667	-0.610917	0.756473	0.324814	0.323146	1.725732	1.841516	1.761467	0.323146	0.756473	0.414479	0.104423	0.368737	0.57133	0.170656	0.148944	-0.779544
4	train	H0	H13	100	100	50	46	61	1.569914	-1.559017	-1.57943	-1.579183	2.518583	2.530608	2.517452	1.569914	1.57943	0.10066	2.493818	2.637457	2.431811	1.373328	1.390881	1.641664
4	train	H1	H13	100	100	50	51	40	-1.461847	1.323896	1.387566	1.382623	2.318768	5.661406	2.131153	-1.461847	1.387566	0.129297	1.911647	2.199361	1.752102	0.754922	1.054677	-1.383542
4	train	H0	H13	150	150	50	54.666667	49.333333	-0.875721	0.561317	1.361597	1.370457	5.719122	7.395628	5.474129	-0.875721	1.361597	0.060302	1.878153	0.708613	0.315027	5.01495	4.835824	-0.580569
4	train	H1	H13	150	150	50	46	50.666667	0.907964	-0.833299	-1.030481	-1.03085	1.207135	1.247203	1.200102	-1.03085	1.030481	0.384281	1.062651	0.858537	0.693962	0.97577	0.966641	0.870036
4	train	H0	H13	200	200	50	48	49	0.397002	-0.318523	-0.504737	-0.504101	0.37849	0.505041	0.363946	-0.504101	0.504737	0.737898	0.254118	0.143969	0.10139	0.293581	0.285737	0.334638
4	train	H1	H13	200	200	50	50.5	50	-1.157915	1.324758	0.737336	0.736073	3.54435	3.471547	3.495063	0.736073	1.324758	0.168738	0.541804	1.339501	1.75572	0.133113	0.100123	-1.376269
4	train	H0	H13	300	300	50	49	45.666667	-0.638595	0.873856	0.153649	0.153331	3.419825	3.841592	3.178287	0.153331	0.873856	0.2041	0.023511	0.469188	0.763993	0.748207	0.617597	-0.904916
4	train	H1	H13	300	300	50	50.666667	49.333333	-0.693525	0.636365	0.690013	0.689247	0.49716	1.11048	0.48591	-0.693525	0.690013	0.507988	0.475061	0.486948	0.404845	0.324066	0.368092	-0.661974
4	train	H0	H13	500	500	50	52.2	46.4	-1.405556	1.178251	1.71328	1.712234	3.765681	3.855876	3.727586	1.712234	1.71328	0.155083	2.931745	1.97206	1.387992	3.881155	3.769107	-1.233034
4	train	H1	H13	500	500	50	47.8	47.2	0.6766	-0.902727	-0.216793	-0.216719	3.112973	3.486217	2.940449	0.6766	0.902727	0.229874	0.046967	0.498511	0.814778	0.571056	0.549909	0.939371
4	train	H0	H13	1,000	1,000	50	46.4	49.2	0.049302	0.080383	-0.194446	-0.194442	0.204205	1.016822	0.280319	-0.194442	0.194446	0.797182	0.037808	0.008417	0.006469	0.171412	0.169723	-0.083793
4	train	H1	H13	1,000	1,000	50	49.6	50.7	0.225797	0.415476	-1.202823	-1.204702	13.427867	14.209794	13.915751	-1.204702	1.202823	0.000951	1.451307	0.054847	0.172643	8.889442	8.861633	-0.433291

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