Datasets:

Nnaodeh
/

Stroke_Prediction_Dataset

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Split (1)

train · 5.11k rows

id int64 67 72.9k	gender stringclasses 3 values	age float64 0.08 82	hypertension int64 0 1	heart_disease int64 0 1	ever_married stringclasses 2 values	work_type stringclasses 5 values	Residence_type stringclasses 2 values	avg_glucose_level float64 55.1 272	bmi float64 10.3 97.6 ⌀	smoking_status stringclasses 4 values	stroke int64 0 1
68,398	Male	82	1	0	Yes	Self-employed	Rural	71.97	28.3	never smoked	0
36,901	Female	45	0	0	Yes	Private	Urban	97.95	24.5	Unknown	0
45,010	Female	57	0	0	Yes	Private	Rural	77.93	21.7	never smoked	0
22,127	Female	18	0	0	No	Private	Urban	82.85	46.9	Unknown	0
14,180	Female	13	0	0	No	children	Rural	103.08	18.6	Unknown	0
18,234	Female	80	1	0	Yes	Private	Urban	83.75	null	never smoked	0
44,873	Female	81	0	0	Yes	Self-employed	Urban	125.2	40	never smoked	0
19,723	Female	35	0	0	Yes	Self-employed	Rural	82.99	30.6	never smoked	0
37,544	Male	51	0	0	Yes	Private	Rural	166.29	25.6	formerly smoked	0
44,679	Female	44	0	0	Yes	Govt_job	Urban	85.28	26.2	Unknown	0

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