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train · 8.64k rows

sex stringclasses 2 values	age float64 22.4 93.9	rr int64 406 1.69k	pr int64 64 368	qt int64 264 562	qrs int64 62 208
male	72.479124	970	184	422	108
male	67.12115	1,106	184	438	94
female	46.628337	614	160	334	66
male	51.373032	966	168	394	96
male	47.915127	1,124	160	394	96
female	42.469541	740	168	396	84
male	45.908282	1,088	146	424	90
female	35.394935	998	138	420	90
male	74.075291	900	170	416	102
female	49.637235	1,120	150	442	78
male	63.737166	1,132	176	430	112
male	49.03217	1,038	154	460	100
female	52.128679	1,086	136	430	86
female	60.44627	754	154	376	70
female	67.460643	932	180	416	86
female	66.291581	846	150	404	76
female	46.978782	866	154	422	84
female	49.420945	866	192	392	126
male	62.570842	824	148	362	86
male	75.266256	838	188	386	88
male	52.796715	878	146	380	90
male	51.268994	1,004	182	398	94
female	54.902122	1,076	158	416	86
male	45.054073	854	154	402	106
female	41.368925	1,002	184	416	88
male	51.852156	1,016	154	422	104
male	78.340862	1,042	186	434	94
male	55.386721	952	138	412	108
male	74.379192	910	210	394	124
male	51.488022	876	146	380	86
male	35.742642	928	154	400	96
male	58.666667	818	148	374	106
female	67.063655	822	118	380	78
male	38.822724	918	142	400	96
male	69.141684	780	170	392	110
female	62.425736	794	176	410	88
female	71.066393	716	136	360	82
female	93.672827	856	156	386	114
female	68.908966	1,260	134	430	80
male	60.772074	880	180	416	132
female	74.688569	868	186	360	80
male	63.364819	712	134	388	96
female	44.33128	1,342	144	478	98
female	47.394935	738	148	426	88
male	45.538672	890	156	384	112
male	52.670773	984	156	420	88
male	48.91718	1,258	222	414	104
female	66.715948	1,104	184	386	86
male	50.247775	1,118	172	428	110
male	48.80219	952	138	396	90
female	61.661875	868	154	404	82
male	33.193703	1,306	150	460	100
female	77.043121	978	140	416	72
male	41.478439	904	150	400	92
male	48.290212	1,062	170	408	90
female	30.047912	916	156	410	82
male	40.172485	772	146	364	78
male	64.246407	1,302	154	438	104
female	50.548939	1,146	178	446	90
female	36.095825	782	118	392	88
male	46.143737	904	134	392	90
male	67.151266	720	174	382	100
female	53.598905	904	152	412	94
male	48.4846	1,054	144	426	98
male	60.544832	962	172	406	100
female	59.422313	950	176	432	88
male	47.816564	1,176	186	436	114
female	61.727584	868	158	408	98
male	55.780972	814	146	386	110
male	57.524983	956	140	396	88
female	45.114305	924	116	398	86
male	55.244353	988	124	390	100
male	64.481862	708	160	386	86
female	54.737851	944	184	430	86
male	33.700205	1,204	138	392	104
female	65.40178	840	114	408	86
male	57.815195	1,220	210	424	92
male	54.926762	864	178	418	90
female	51.140315	854	152	402	82
male	40.314853	918	206	382	92
male	56.257358	1,050	166	410	100
female	47.225188	752	132	376	76
female	59.507187	954	188	384	70
male	77.598905	1,004	242	458	88
male	33.467488	794	130	398	92
male	63.162218	860	148	404	78
female	74.934976	1,018	188	420	92
male	40.197125	924	230	382	104
male	64.843258	884	178	440	94
female	60.692676	724	142	392	92
male	65.880903	866	136	406	76
female	34.696783	904	162	404	82
female	47.112936	944	156	406	90
male	44.221766	992	172	420	98
male	76.325804	686	164	358	80
male	67.578371	958	150	398	94
female	63.871321	1,068	150	426	82
female	54.765229	1,106	236	452	96
male	41.69473	872	150	400	106
male	71.170431	796	168	376	94

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