Datasets:

electricsheepafrica
/

Africa-stroke-prediction-dataset

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train · 5.11k rows

id int64	gender string	age int64	hypertension int64	heart_disease int64	ever_married string	work_type string	Residence_type string	avg_glucose_level float64	bmi float64	smoking_status string	stroke int64
68,398	Male	72	1	1	Yes	Private	Urban	111.166101	30.148317	never smoked	1
36,901	Female	36	0	0	Yes	Private	Rural	106.610467	26.793638	never smoked	0
45,010	Female	49	0	0	Yes	Govt_job	Urban	95.892627	24.172601	never smoked	0
22,127	Female	10	0	0	No	Self-employed	Rural	85.609541	48.81429	never smoked	0
14,180	Female	5	0	0	No	Self-employed	Urban	100.280748	20.549064	never smoked	0
18,234	Female	72	1	1	Yes	Self-employed	Urban	115.032868	null	never smoked	0
44,873	Female	76	1	1	Yes	Self-employed	Urban	159.858271	43.481184	never smoked	1
19,723	Female	27	0	0	Yes	Private	Rural	96.319159	32.632114	never smoked	0
37,544	Male	46	0	0	Yes	Self-employed	Urban	193.317911	27.131628	never smoked	0
44,679	Female	36	0	0	Yes	Self-employed	Rural	93.738483	28.847973	never smoked	0

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