Datasets:

mcvskfilho
/

ML_CVD_CKD

Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Float value 5.500000 was truncated converting to int64
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2303, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1852, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2143, in cast_array_to_feature
                  return array_cast(
                      array,
                  ...<2 lines>...
                      allow_decimal_to_str=allow_decimal_to_str,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2006, in array_cast
                  return array.cast(pa_type)
                         ~~~~~~~~~~^^^^^^^^^
                File "pyarrow/array.pxi", line 1147, in pyarrow.lib.Array.cast
                File "/usr/local/lib/python3.14/site-packages/pyarrow/compute.py", line 412, in cast
                  return call_function("cast", [arr], options, memory_pool)
                File "pyarrow/_compute.pyx", line 604, in pyarrow._compute.call_function
                File "pyarrow/_compute.pyx", line 399, in pyarrow._compute.Function.call
                  result = GetResultValue(
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Float value 5.500000 was truncated converting to int64
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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Unnamed: 0 int64	YEAR int64	SEQN int64	AGE int64	GENDER int64	RACE int64	DASH int64	DIET int64	WEEKLY_PA_MINUTES int64	PA int64	TIME_QUIT float64	CURRENT_SMOKER int64	HOUSEHOLD_SMOKERS int64	NICOTINE_EXPOSURE int64	HOURS_OF_SLEEP int64	SLEEP_HEALTH int64	BMXBMI float64	BMI int64	DRUG_TREATED_BL int64	NON_HDL_CHOL int64	BLOOD_LIPIDS int64	HBA1C float64	DIABETES int64	BLOOD_GLUCOSE int64	DRUG_TREATED_BP int64	SYSTOLIC_BP int64	DIASTOLIC_BP int64	BP int64	LE8_SCORE float64	LE8_GROUP string	HAS_CVD bool	GFR float64	HAS_CKD bool	NOT_CVD_PRED float64	CVD_SCORE int64	CVD_GROUP string	NOT_CKD_PRED float64	CKD_SCORE int64	CKD_GROUP string
1	2,008	41,475	62	2	5	46	25	0	0	-1	2	2	100	6	70	58.04	0	2	132	60	5.7	2	60	1	128	64	55	46.25	Low	true	102.398231	false	0.927202	63	Medium	0.682236	50	Medium
2	2,008	41,477	71	1	3	15	0	0	0	30	2	2	75	8	100	30.05	30	1	157	40	9.5	1	10	1	144	60	5	32.5	Low	false	91.78993	true	0.608434	37	Low	0.400038	27	Low
3	2,008	41,479	52	1	1	66	50	900	100	-1	2	2	100	6	70	27.56	70	2	141	60	5.7	2	60	2	112	70	100	76.25	Medium	false	107.253148	false	0.962721	73	Medium	0.916754	72	Medium
4	2,008	41,482	64	1	1	94	80	90	80	9	2	2	75	8	100	33.64	30	2	115	100	7	2	60	1	116	78	80	75.625	Medium	false	99.730821	false	0.807083	51	Medium	0.759226	55	Medium
5	2,008	41,483	66	1	4	46	25	0	0	-1	2	2	100	5	40	44.06	0	1	106	80	6.5	1	40	1	110	62	80	45.625	Low	false	62.399858	false	0.62594	39	Low	0.478663	35	Low
6	2,008	41,485	30	2	2	8	0	1,950	100	-1	2	2	100	5	40	25.99	70	2	153	60	5.5	2	100	2	108	44	100	71.25	Medium	false	128.208406	false	0.980829	84	High	0.93507	80	High
7	2,008	41,486	61	2	1	99	100	0	0	-1	2	2	100	5	40	31.21	30	2	157	60	6.1	2	60	1	126	64	55	55.625	Medium	false	97.322093	false	0.903381	60	Medium	0.688624	51	Medium
8	2,008	41,487	27	1	5	94	80	480	100	-1	2	2	100	8	100	23.44	100	2	130	60	5	2	100	2	120	84	50	86.25	High	false	113.581744	false	0.976752	82	High	0.931645	78	Medium
9	2,008	41,489	40	2	1	21	0	0	0	-1	2	2	100	6	70	36.59	15	2	126	100	5.4	2	100	2	106	66	100	60.625	Medium	false	104.747912	false	0.975858	81	High	0.920242	73	Medium
10	2,008	41,490	66	2	4	82	80	0	0	17	2	2	75	7	100	27.69	70	2	135	60	5.9	2	60	2	128	64	75	65	Medium	false	101.136814	false	0.907551	60	Medium	0.844945	62	Medium
11	2,008	41,492	72	1	3	100	100	0	0	-1	2	2	100	7	100	29.02	70	2	126	100	5.3	2	100	2	156	94	25	74.375	Medium	false	88.344839	false	0.887862	58	Medium	0.787575	57	Medium
12	2,008	41,493	77	2	3	50	50	0	0	-1	1	1	0	7	100	19.96	100	2	161	40	6.2	2	60	2	106	42	100	56.25	Medium	false	39.174328	true	0.905836	60	Medium	0.88201	66	Medium
13	2,008	41,495	61	1	3	73	50	120	90	1	2	2	50	7	100	25.53	70	1	121	80	5.5	2	100	2	102	64	100	80	High	false	95.441982	false	0.888314	58	Medium	0.926371	75	Medium
14	2,008	41,496	64	2	1	15	0	0	0	-1	2	2	100	9	90	28.37	70	2	183	40	5.1	1	40	2	192	86	50	48.75	Low	false	5.450933	true	0.8167	52	Medium	0.593513	44	Low
15	2,008	41,501	70	1	3	18	0	90	80	32	2	2	75	7	100	36.27	15	2	110	100	6.3	1	40	1	150	70	5	51.875	Medium	false	74.122165	false	0.735227	47	Low	0.510258	38	Low
16	2,008	41,502	29	1	1	11	0	960	100	-1	1	2	0	8	100	29.13	70	2	126	100	5.3	2	100	2	124	54	75	68.125	Medium	false	106.380148	false	0.958781	71	Medium	0.945671	90	High
17	2,008	41,504	63	1	3	21	0	870	100	14	2	2	75	8	100	23.32	100	1	105	80	5.2	2	100	1	148	88	30	73.125	Medium	true	62.703521	false	0.619585	38	Low	0.71372	53	Medium
18	2,008	41,509	48	1	2	73	50	360	100	-1	1	2	0	6	70	34.28	30	2	175	40	7.8	2	60	2	142	100	25	46.875	Low	false	91.929566	false	0.918187	61	Medium	0.850054	62	Medium
19	2,008	41,510	33	2	3	15	0	965	100	3	2	1	30	7	100	22.63	100	2	119	100	4.9	2	100	2	126	92	25	69.375	Medium	false	110.027345	false	0.920609	62	Medium	0.83716	61	Medium
20	2,008	41,516	74	2	3	25	25	0	0	24	2	2	75	6	70	36.95	15	2	174	40	5.8	1	40	2	124	68	75	42.5	Low	false	70.491031	false	0.730281	46	Low	0.602448	45	Low
21	2,008	41,518	50	1	3	58	50	810	100	-1	2	2	100	8	100	29.12	70	2	130	60	5.2	2	100	2	114	72	100	85	High	false	66.710858	false	0.983845	93	High	0.951596	99	High
22	2,008	41,522	72	1	3	50	50	100	80	-1	2	2	100	8	100	26.28	70	2	183	40	5.9	2	60	1	150	56	5	63.125	Medium	false	85.419964	false	0.846173	54	Medium	0.664807	49	Low
23	2,008	41,523	28	1	4	18	0	2,490	100	-1	2	2	100	4	20	31.23	30	2	224	0	5.7	2	60	2	124	80	50	45	Low	false	103.051926	false	0.939702	66	Medium	0.828084	60	Medium
24	2,008	41,525	51	1	4	76	80	420	100	12	2	2	75	6	70	25.22	70	2	147	60	4.7	2	100	2	122	90	25	72.5	Medium	false	118.667119	false	0.938805	66	Medium	0.878739	65	Medium
25	2,008	41,526	64	2	3	66	50	90	80	20	2	2	75	8	100	25.84	70	1	136	40	5.9	2	60	2	132	82	50	65.625	Medium	false	79.106318	false	0.935237	64	Medium	0.87296	64	Medium
26	2,008	41,527	44	1	3	66	50	6,960	100	-1	2	2	100	7	100	26.89	70	2	223	0	5.4	2	100	2	136	86	50	71.25	Medium	false	79.462212	false	0.973823	79	Medium	0.919921	73	Medium
27	2,008	41,531	43	1	2	21	0	1,320	100	-1	2	2	100	6	70	26.2	70	2	176	40	5.8	2	60	2	104	60	100	67.5	Medium	false	111.14317	false	0.958689	70	Medium	0.898142	68	Medium
28	2,008	41,534	37	2	5	15	0	90	80	-1	2	2	100	7	100	41.05	0	2	134	60	5.8	2	60	2	122	74	75	59.375	Medium	false	108.803101	false	0.964949	73	Medium	0.897008	68	Medium
29	2,008	41,541	43	2	3	62	50	0	0	-1	2	2	100	6	70	35.7	15	2	133	60	5.5	2	100	1	114	70	80	59.375	Medium	false	108.191185	false	0.904136	60	Medium	0.746581	54	Medium
30	2,008	41,545	40	2	1	69	50	0	0	-1	1	2	0	7	100	28.36	70	2	172	40	5.9	2	60	2	100	60	100	52.5	Medium	false	84.499032	false	0.905836	60	Medium	0.889634	66	Medium
31	2,008	41,546	45	2	3	91	80	10	20	-1	2	2	100	7	100	30.81	30	2	108	100	5.5	2	100	2	108	86	50	72.5	Medium	false	86.418287	false	0.950233	68	Medium	0.913566	71	Medium
32	2,008	41,547	49	1	3	29	25	3,900	100	-1	2	1	80	6	70	32.7	30	2	99	100	4.1	2	100	1	120	80	30	66.875	Medium	false	97.317737	false	0.907929	60	Medium	0.852969	63	Medium
33	2,008	41,549	61	2	4	15	0	810	100	-1	2	2	100	5	40	35.01	15	1	135	40	5.3	2	100	1	148	72	5	50	Medium	false	109.419899	false	0.889613	58	Medium	0.722514	53	Medium
34	2,008	41,550	45	1	1	42	25	1,740	100	0.416667	2	2	25	7	100	23.26	100	2	157	60	5.3	2	100	2	112	64	100	76.25	Medium	false	119.799769	false	0.970377	77	Medium	0.948948	94	High
35	2,008	41,555	78	2	4	8	0	0	0	-1	2	1	80	8	100	37.82	15	2	184	40	5.4	2	100	2	168	74	0	41.875	Low	false	61.012333	false	0.868485	56	Medium	0.636252	47	Low
36	2,008	41,556	38	1	3	15	0	240	100	-1	1	1	0	6	70	35.45	15	2	200	20	6.4	2	60	1	146	96	5	33.75	Low	false	118.337004	false	0.789076	51	Medium	0.75206	54	Medium
37	2,008	41,558	50	2	4	29	25	540	100	-1	1	1	0	6	70	31.72	30	2	112	100	5.2	2	100	2	140	70	25	56.25	Medium	false	96.701973	false	0.921604	62	Medium	0.889671	66	Medium
38	2,008	41,565	72	1	3	54	50	105	80	-1	1	1	0	7	100	24.46	100	2	153	60	5.6	2	100	2	156	80	50	67.5	Medium	false	88.344839	false	0.964092	73	Medium	0.915064	71	Medium
39	2,008	41,567	51	1	2	62	50	140	90	-1	1	2	0	10	40	25.47	70	2	167	40	5.7	2	60	2	98	60	100	56.25	Medium	false	95.960057	false	0.925702	63	Medium	0.906021	69	Medium
40	2,008	41,570	55	1	3	6	0	0	0	-1	1	1	0	2	0	20.62	100	2	166	40	6	2	60	2	124	74	75	34.375	Low	true	118.197316	false	0.817033	52	Medium	0.813608	59	Medium
41	2,008	41,573	32	2	1	85	80	1,050	100	-1	2	2	100	5	40	23.94	100	2	169	40	5.4	2	100	2	94	54	100	82.5	High	false	117.471254	false	0.979485	83	High	0.929282	77	Medium
42	2,008	41,574	57	1	3	32	25	0	0	-1	1	2	0	5	40	25.16	70	2	229	0	5.8	2	60	2	124	78	75	33.75	Low	false	91.99961	false	0.854941	54	Medium	0.809524	59	Medium
43	2,008	41,578	67	2	3	91	80	120	90	-1	2	2	100	8	100	19.69	100	2	84	100	4.8	2	100	1	132	72	30	87.5	High	false	50.79085	true	0.908667	60	Medium	0.773158	56	Medium
44	2,008	41,579	71	2	3	94	80	360	100	36	2	2	75	8	100	19.12	100	2	185	40	5.8	2	60	2	146	84	50	75.625	Medium	false	74.173927	false	0.936503	65	Medium	0.888506	66	Medium
45	2,008	41,583	66	2	2	73	50	0	0	-1	2	2	100	7	100	35.87	15	2	231	0	6.2	2	60	2	144	74	25	43.75	Low	false	90.713766	false	0.903182	60	Medium	0.789561	57	Medium
46	2,008	41,587	44	2	4	13	0	0	0	-1	2	2	100	8	100	26.34	70	2	134	60	5.5	2	100	2	110	80	50	60	Medium	false	95.220874	false	0.965855	74	Medium	0.901715	68	Medium
47	2,008	41,590	25	1	1	73	50	30	40	-1	2	2	100	7	100	24.39	100	2	166	40	5	2	100	2	116	70	100	78.75	Medium	false	115.188742	false	0.976732	82	High	0.928621	76	Medium
48	2,008	41,594	38	1	3	76	80	4,200	100	18	2	2	75	6	70	29.26	70	2	204	20	5.2	2	100	2	136	80	50	70.625	Medium	false	112.177752	false	0.961061	72	Medium	0.919509	73	Medium
49	2,008	41,595	76	2	3	18	0	0	0	-1	1	2	0	6	70	18.49	100	2	122	100	5.6	2	100	2	104	54	100	58.75	Medium	false	60.480284	false	0.955268	69	Medium	0.915111	71	Medium
50	2,008	41,599	52	2	2	82	80	2,880	100	-1	2	2	100	6	70	31.63	30	2	215	20	5.3	2	100	2	106	78	100	75	Medium	true	99.615705	false	0.981957	84	High	0.93474	80	High
51	2,008	41,605	36	2	3	82	80	0	0	-1	2	2	100	8	100	29.69	70	2	156	60	5.3	2	100	2	116	88	50	70	Medium	false	82.259142	false	0.96511	73	Medium	0.903998	69	Medium
52	2,008	41,607	46	2	3	50	50	180	100	20	2	2	75	8	100	26.7	70	2	142	60	5.7	2	60	2	140	74	25	67.5	Medium	false	108.71665	false	0.932897	64	Medium	0.822096	59	Medium
53	2,008	41,612	80	2	3	21	0	0	0	-1	2	2	100	8	100	28.65	70	2	294	0	6.1	2	60	2	92	56	100	53.75	Medium	true	75.280281	false	0.937372	65	Medium	0.882852	66	Medium
54	2,008	41,616	67	2	4	50	50	0	0	18	2	2	75	7	100	33.37	30	1	108	80	5	2	100	2	124	70	75	63.75	Medium	false	89.7723	false	0.758412	48	Low	0.818414	59	Medium
55	2,008	41,618	46	2	3	73	50	540	100	-1	2	2	100	6	70	37.79	15	2	189	40	5.8	1	40	2	130	86	50	58.125	Medium	false	79.887177	false	0.896611	59	Medium	0.746276	54	Medium
56	2,008	41,619	20	1	1	42	25	0	0	-1	2	2	100	9	90	40.58	0	2	182	40	4.8	2	100	1	100	82	30	48.125	Low	false	127.297613	false	0.887582	58	Medium	0.800123	58	Medium
57	2,008	41,622	41	2	3	8	0	0	0	-1	2	2	100	8	100	42.69	0	2	118	100	5.1	2	100	2	106	68	100	62.5	Medium	false	104.014676	false	0.975849	81	High	0.927274	76	Medium
58	2,008	41,623	29	1	4	99	100	600	100	-1	2	2	100	7	100	36.17	15	2	104	100	5.2	2	100	2	124	62	75	86.25	High	false	114.58093	false	0.967358	74	Medium	0.925103	74	Medium
59	2,008	41,624	68	2	2	50	50	240	100	-1	2	2	100	8	100	25.83	70	2	154	60	5.6	1	40	1	116	74	80	75	Medium	false	95.807428	false	0.887229	58	Medium	0.727749	53	Medium
60	2,008	41,625	26	2	1	11	0	1,500	100	-1	2	2	100	8	100	32.37	30	2	137	60	5.5	2	100	2	110	64	100	73.75	Medium	false	131.861954	false	0.983538	89	High	0.94935	94	High
61	2,008	41,627	80	2	3	94	80	210	100	7	2	2	75	7	100	24.04	100	2	80	100	5.2	2	100	2	130	42	50	88.125	High	true	85.162256	false	0.945879	67	Medium	0.919133	73	Medium
62	2,008	41,628	23	2	3	25	25	860	100	1.5	2	2	50	8	100	23.35	100	2	110	100	5.2	2	100	2	106	84	50	78.125	Medium	false	79.345653	false	0.958334	70	Medium	0.923972	74	Medium
63	2,008	41,636	61	2	1	73	50	140	90	-1	2	2	100	8	100	26.44	70	2	273	0	5.4	2	100	2	142	100	25	66.875	Medium	false	93.512797	false	0.939355	66	Medium	0.82098	59	Medium
64	2,008	41,637	27	1	1	37	25	900	100	-1	2	1	80	7	100	29.37	70	2	82	100	5.2	2	100	2	114	78	100	84.375	High	false	121.189502	false	0.983467	88	High	0.937478	82	High
65	2,008	41,639	37	1	1	46	25	0	0	-1	2	2	100	7	100	30.2	30	2	114	100	5.4	2	100	2	120	70	75	66.25	Medium	false	112.968532	false	0.946642	67	Medium	0.889897	66	Medium
66	2,008	41,641	80	2	3	85	80	120	90	-1	2	2	100	7	100	34.1	30	2	145	60	5.7	2	60	1	136	68	30	68.75	Medium	false	46.358109	true	0.912388	61	Medium	0.799309	58	Medium
67	2,008	41,642	73	2	3	100	100	960	100	-1	2	2	100	8	100	27.16	70	1	142	40	6	2	60	2	122	92	25	74.375	Medium	false	70.987947	false	0.932447	64	Medium	0.821415	59	Medium
68	2,008	41,648	58	1	3	82	80	1,080	100	-1	2	2	100	6	70	28.51	70	1	78	80	5.3	2	100	2	144	86	50	81.25	High	false	55.955258	true	0.869446	56	Medium	0.91261	71	Medium
69	2,008	41,652	70	2	5	100	100	270	100	-1	2	2	100	7	100	26.43	70	2	141	60	5.6	2	100	1	174	82	30	82.5	High	false	90.880038	false	0.929452	63	Medium	0.842609	61	Medium
70	2,008	41,663	32	2	1	69	50	90	80	-1	2	1	80	6	70	29.89	70	2	145	60	5.5	2	100	2	104	64	100	76.25	Medium	false	119.311754	false	0.983374	88	High	0.939163	83	High
71	2,008	41,666	43	2	3	25	25	360	100	15	2	2	75	7	100	32.41	30	2	214	20	4.6	2	100	2	116	84	50	62.5	Medium	false	87.640967	false	0.960433	71	Medium	0.899145	68	Medium
72	2,008	41,668	66	1	4	82	80	1,500	100	-1	2	2	100	6	70	28.28	70	1	110	80	5.8	2	60	2	108	62	100	82.5	High	false	92.734176	false	0.848003	54	Medium	0.890197	66	Medium
73	2,008	41,670	27	1	4	2	0	1,080	100	-1	1	2	0	5	40	30.43	30	2	129	100	5.5	2	100	2	118	46	100	58.75	Medium	false	131.641241	false	0.96478	73	Medium	0.945454	90	High
74	2,008	41,671	80	1	3	42	25	0	0	-1	2	2	100	11	40	25.76	70	1	179	20	5.9	2	60	1	102	44	80	49.375	Low	true	30.612086	true	0.85221	54	Medium	0.594313	44	Low
75	2,008	41,672	63	2	1	66	50	540	100	-1	2	2	100	5	40	23.42	100	1	155	40	6.1	2	60	1	152	86	30	65	Medium	false	66.263381	false	0.877031	57	Medium	0.718629	53	Medium
76	2,008	41,676	61	2	3	58	50	660	100	10	2	2	75	7	100	23.31	100	2	143	60	5.3	2	100	2	160	96	25	76.25	Medium	false	90.38151	false	0.939208	66	Medium	0.851957	63	Medium
77	2,008	41,677	71	1	3	79	80	110	80	-1	2	1	80	8	100	36.98	15	1	165	20	6	2	60	1	156	90	5	55	Medium	false	65.031401	false	0.845424	54	Medium	0.732059	53	Medium
78	2,008	41,679	21	1	3	11	0	0	0	3	2	2	50	9	90	21.33	100	2	139	60	5.1	2	100	2	124	80	50	56.25	Medium	false	126.40653	false	0.948278	68	Medium	0.861555	63	Medium
79	2,008	41,680	63	1	4	29	25	1,300	100	-1	2	2	100	6	70	51.91	0	1	108	80	6.9	1	40	1	154	0	5	52.5	Medium	false	102.226835	false	0.680925	43	Low	0.497971	36	Low
80	2,008	41,682	44	2	3	58	50	60	60	14	2	2	75	7	100	29.41	70	2	152	60	5.4	2	100	2	100	66	100	76.875	Medium	false	87.02748	false	0.968302	75	Medium	0.931717	78	Medium
81	2,008	41,683	72	1	3	54	50	400	100	-1	2	1	80	9	90	27.19	70	2	142	60	6.1	2	60	1	136	70	30	67.5	Medium	false	56.610398	true	0.912154	61	Medium	0.757302	55	Medium
82	2,008	41,685	25	1	3	3	0	240	100	-1	2	1	80	8	100	18.44	100	2	116	100	5	2	100	2	110	56	100	85	High	false	115.188742	false	0.984399	100	High	0.935611	81	High
83	2,008	41,687	31	1	1	3	0	0	0	-1	2	2	100	7	100	24.21	100	2	187	40	5.1	2	100	2	116	72	100	67.5	Medium	false	80.093059	false	0.973702	79	Medium	0.93404	79	Medium
84	2,008	41,688	49	1	3	11	0	2,400	100	-1	1	2	0	8	100	29.28	70	2	218	20	5.6	2	100	2	132	62	50	55	Medium	false	109.537369	false	0.958777	71	Medium	0.903191	69	Medium
85	2,008	41,690	52	1	1	46	25	1,560	100	22	2	2	75	8	100	30.95	30	1	127	80	5.9	2	60	1	122	70	55	65.625	Medium	false	100.668806	false	0.570573	34	Low	0.709061	52	Medium
86	2,008	41,691	60	1	3	73	50	510	100	-1	2	2	100	8	100	31.98	30	1	147	40	5.6	2	100	1	126	84	30	68.75	Medium	false	75.90291	false	0.915484	61	Medium	0.866283	64	Medium
87	2,008	41,693	50	1	4	42	25	4,560	100	-1	1	1	0	6	70	35.12	15	2	152	60	5.6	2	100	2	142	86	50	52.5	Medium	false	91.242154	false	0.966199	74	Medium	0.923443	74	Medium
88	2,008	41,694	60	2	2	42	25	90	80	20	2	2	75	6	70	26.06	70	1	210	0	5.6	2	100	1	122	68	55	59.375	Medium	false	91.01864	false	0.915874	61	Medium	0.825113	60	Medium
89	2,008	41,697	28	2	2	87	80	300	100	-1	2	2	100	7	100	29.98	70	2	118	100	5.1	2	100	2	106	56	100	93.75	High	false	105.075652	false	0.983045	86	High	0.930889	78	Medium
90	2,008	41,698	42	1	3	13	0	0	0	-1	2	2	100	8	100	34.52	30	2	189	40	5.7	2	60	2	112	86	50	47.5	Low	false	90.233777	false	0.937468	65	Medium	0.83625	61	Medium
91	2,008	41,700	55	1	3	1	0	240	100	-1	1	1	0	6	70	26.47	70	2	154	60	6	2	60	1	104	60	80	55	Medium	true	93.301256	false	0.87677	57	Medium	0.773729	56	Medium
92	2,008	41,702	55	2	4	5	0	0	0	-1	2	2	100	8	100	45.13	0	2	191	20	6.4	2	60	2	140	74	25	38.125	Low	false	93.364457	false	0.901369	59	Medium	0.791874	58	Medium
93	2,008	41,705	62	1	4	21	0	1,320	100	-1	1	1	0	7	100	23.29	100	2	162	40	5.8	2	60	2	176	90	25	53.125	Medium	false	67.776266	false	0.911414	61	Medium	0.76753	56	Medium
94	2,008	41,708	37	2	3	15	0	1,320	100	-1	2	2	100	6	70	26.15	70	2	92	100	5.6	2	100	2	134	84	50	73.75	Medium	false	106.978777	false	0.967611	75	Medium	0.942639	87	High
95	2,008	41,711	73	2	3	89	80	180	100	-1	2	2	100	8	100	29.08	70	2	153	60	5.3	2	100	1	130	54	30	80	High	true	43.911323	true	0.929881	63	Medium	0.838121	61	Medium
96	2,008	41,713	42	1	3	4	0	2,400	100	-1	1	1	0	8	100	17.89	100	2	140	60	5.5	2	100	2	106	60	100	70	Medium	false	72.670426	false	0.969935	77	Medium	0.948812	93	High
97	2,008	41,715	74	2	3	95	100	360	100	-1	2	2	100	8	100	24.33	100	2	143	60	5.6	2	100	1	122	68	55	89.375	High	false	61.335983	false	0.959579	71	Medium	0.888478	66	Medium
98	2,008	41,717	72	2	3	69	50	1,650	100	42	2	2	75	7	100	23.87	100	1	107	80	7.2	1	30	1	206	66	0	66.875	Medium	false	83.660667	false	0.624138	38	Low	0.454114	33	Low
99	2,008	41,718	50	2	1	25	25	0	0	-1	2	2	100	8	100	35.28	15	2	166	40	5.7	2	60	2	136	74	50	48.75	Low	false	119.513662	false	0.940588	66	Medium	0.83496	61	Medium
100	2,008	41,721	37	1	3	11	0	960	100	-1	1	1	0	6	70	25.32	70	2	163	40	5.3	2	100	2	120	76	75	56.875	Medium	false	107.285112	false	0.955364	69	Medium	0.9398	84	High

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mcvskfilho/ML_CVD_CKD

Tabular Classification • Updated about 14 hours ago