Split (1)

train · 10k rows

ID int64	Age int64	Gender string	Country string	Coffee_Intake float64	Caffeine_mg float64	Sleep_Hours float64	Sleep_Quality string	BMI float64	Heart_Rate int64	Stress_Level string	Physical_Activity_Hours float64	Health_Issues string	Occupation string	Smoking int64	Alcohol_Consumption int64
501	46	Female	Norway	1	97.8	5.2	Fair	26	58	Medium	6.2	Mild	Healthcare	0	1
502	57	Female	Canada	3.6	339.1	5.4	Fair	24.7	55	Medium	1.3	Moderate	Other	0	0
503	18	Female	Brazil	3	288.5	6	Good	30	62	Low	7	null	Service	0	0
504	41	Male	Brazil	2.5	240	5.1	Fair	24	64	Medium	1.6	Mild	Service	0	0
505	27	Male	Netherlands	3.2	304.9	7.5	Good	29.7	66	Low	14.9	null	Healthcare	0	0
506	29	Female	UK	2.3	220.5	5.6	Fair	30.1	60	Medium	3.5	Moderate	Student	0	1
507	27	Male	Brazil	2.9	273.9	7.8	Good	25.5	71	Low	0	null	Service	0	0
508	24	Female	Norway	6.1	580.4	5.2	Fair	23.7	76	Medium	3.3	Mild	Student	0	1
509	35	Female	China	3.8	364.9	6	Fair	21.3	80	Medium	9.3	Mild	Service	0	1
510	25	Male	India	1.7	160.2	5.8	Fair	25.2	62	Medium	14.6	Mild	Student	0	0
511	38	Male	Mexico	2	194	6.7	Good	31.2	71	Low	7.9	Mild	Office	0	0
512	34	Male	South Korea	4.3	409.7	5.4	Fair	25.2	82	Medium	6.7	Mild	Student	0	0
513	32	Male	Japan	1.9	181.2	5.6	Fair	25.5	53	Medium	14.9	Mild	Healthcare	0	0
514	24	Male	Japan	5.1	479.9	8	Excellent	30.2	66	Low	2.5	Mild	Service	0	0
515	28	Male	Finland	3.6	346.6	7.9	Good	31.4	58	Low	3	Mild	Other	0	0
516	44	Male	Belgium	0.5	44.3	9.3	Excellent	24	73	Low	5.7	null	Student	0	0
517	41	Female	Italy	3.8	361.2	6.3	Good	25.7	90	Low	11.2	null	Other	0	0
518	23	Female	Brazil	0	0	4.7	Poor	20.6	63	High	4.5	Mild	Student	0	1
519	36	Male	India	2	187.9	6.6	Good	25	84	Low	7	null	Office	0	1
520	44	Female	Finland	3.8	359.4	5.5	Fair	26.2	81	Medium	14.1	Mild	Other	0	1
521	18	Female	Spain	0	0	6.4	Good	24	70	Low	13.1	null	Healthcare	0	1
522	41	Female	China	5.5	526.7	6.1	Good	21.5	68	Low	14.2	null	Other	1	1
523	27	Female	India	4	375.5	8.5	Excellent	20.8	66	Low	2.5	null	Student	0	0
524	41	Male	Germany	1	98	7	Good	27.8	87	Low	7.2	null	Healthcare	0	1
525	25	Male	South Korea	4.8	454.1	8.8	Excellent	25.8	64	Low	10.7	null	Office	0	0
526	18	Female	India	0	0	6.2	Good	24.3	74	Low	11	null	Other	0	0
527	18	Female	Switzerland	1	93.9	8.6	Excellent	18.7	62	Low	8.3	null	Healthcare	0	1
528	35	Female	Australia	0.4	35.8	7.1	Good	23.9	54	Low	12.3	null	Other	1	0
529	38	Other	China	0	0	4.5	Poor	22.7	61	High	0.6	Mild	Office	0	0
530	24	Female	Netherlands	2	190	6.9	Good	18.4	86	Low	3	null	Office	0	1
531	42	Male	Spain	2.8	264.7	7.4	Good	28	84	Low	4.9	null	Office	0	0
532	18	Male	China	2.7	260.5	4.6	Poor	27	66	High	10.9	Mild	Office	0	0
533	34	Male	Norway	2.7	256.1	6.3	Good	24.8	98	Low	13.5	null	Healthcare	0	1
534	20	Female	Canada	2.6	245	6	Fair	18	85	Medium	7.9	Mild	Healthcare	0	1
535	27	Female	Switzerland	0.7	69.1	8.1	Excellent	27.6	63	Low	10.6	null	Office	0	0
536	35	Female	Australia	1.7	165.9	6.2	Good	24.8	68	Low	8.9	null	Student	0	1
537	24	Female	UK	0	0	6.5	Good	24.6	67	Low	13.9	null	Healthcare	0	1
538	30	Female	Netherlands	4.1	391.3	5.3	Fair	24.8	65	Medium	13.5	Mild	Office	0	0
539	47	Female	Norway	2.6	251	5.5	Fair	21	77	Medium	12.1	Mild	Healthcare	0	0
540	28	Female	Japan	2.6	247.2	5.4	Fair	24.1	74	Medium	4.2	Mild	Other	0	1
541	45	Male	Australia	3.7	348.6	5	Fair	28.5	77	Medium	5.6	Mild	Student	0	0
542	21	Female	Brazil	3.8	358.8	4.9	Poor	17.9	77	High	6.2	Mild	Office	0	1
543	41	Female	Germany	2	186	8.5	Excellent	28	74	Low	0.1	null	Student	0	0
544	52	Male	Italy	2.3	220.8	8.3	Excellent	25.6	62	Low	3.5	Mild	Healthcare	0	0
545	18	Male	Belgium	4.8	460.7	7.6	Good	26.4	70	Low	10.7	null	Healthcare	0	0
546	25	Female	Mexico	1.6	154.1	6.8	Good	23.3	70	Low	8.2	null	Other	0	0
547	41	Male	Brazil	4.8	459.4	5.8	Fair	23.4	70	Medium	14.4	Mild	Office	0	1
548	32	Male	India	2	187.6	7.3	Good	18.8	78	Low	0.4	null	Office	0	0
549	39	Male	UK	0	0	8.8	Excellent	22.6	69	Low	5.7	null	Service	0	0
550	27	Female	China	2.6	250.3	6.9	Good	25.3	86	Low	10.6	null	Other	0	1
551	36	Female	Germany	2	186.5	6.2	Good	30	69	Low	2	null	Student	0	0
552	33	Male	South Korea	0.5	45.4	7.6	Good	25	85	Low	7.5	null	Office	0	0
553	49	Male	South Korea	2.4	226	10	Excellent	18.6	69	Low	0.2	null	Service	0	0
554	38	Other	Italy	1.8	168.3	5.8	Fair	23.8	73	Medium	2.7	Mild	Student	0	1
555	39	Female	Japan	5.3	504.5	5	Poor	21.7	75	High	14.1	Mild	Healthcare	1	0
556	30	Female	Netherlands	4	375.5	7.9	Good	23.7	57	Low	9	null	Healthcare	0	0
557	29	Male	Switzerland	1.1	100.5	8.1	Excellent	24.4	55	Low	11.4	null	Other	0	0
558	29	Male	India	1.4	132	5.5	Fair	31.9	73	Medium	1.5	Moderate	Healthcare	1	0
559	39	Male	Australia	4	380.1	6.8	Good	25.5	60	Low	3.5	null	Healthcare	1	0
560	29	Female	Italy	4.3	410.3	5.9	Fair	25.5	77	Medium	2.9	Mild	Service	0	0
561	38	Male	Netherlands	2	190	5.2	Fair	25.9	86	Medium	4.1	Mild	Student	0	0
562	59	Male	Switzerland	1.8	169	5.3	Fair	21.6	62	Medium	3.9	Moderate	Student	0	1
563	45	Male	Brazil	2.3	219.4	6	Fair	30.1	68	Medium	8.5	Moderate	Service	1	0
564	31	Male	France	2.9	278.8	6.8	Good	25.5	50	Low	10.6	null	Student	0	0
565	49	Female	Italy	3.6	340.9	7.3	Good	23	51	Low	8.2	null	Student	1	1
566	30	Male	South Korea	3.7	348.3	6	Fair	26.4	77	Medium	4.5	Mild	Other	0	0
567	18	Female	Finland	0.9	87.1	6.5	Good	29.6	70	Low	10.4	null	Office	1	1
568	22	Female	Belgium	2	186.2	7.4	Good	25.4	62	Low	8.3	null	Student	0	0
569	18	Male	Belgium	0	0	6.6	Good	24	50	Low	9.6	null	Student	1	1
570	30	Female	France	2.5	234.1	6.3	Good	24.2	66	Low	3.2	null	Student	0	0
571	35	Female	Sweden	0.4	39.7	8.3	Excellent	27	71	Low	14.4	null	Healthcare	0	1
572	55	Female	South Korea	1.4	133.2	6.3	Good	25.9	83	Low	4.9	Mild	Service	1	0
573	38	Male	Mexico	4.2	394.8	5.6	Fair	25	68	Medium	5.5	Mild	Other	1	0
574	32	Male	South Korea	3.1	293.1	5.8	Fair	23.3	98	Medium	8.1	Mild	Healthcare	1	0
575	44	Male	South Korea	3	287.2	6.3	Good	25.2	66	Low	0.7	null	Service	0	0
576	18	Female	Finland	2.5	237.8	8.2	Excellent	18.4	59	Low	2.9	null	Other	0	0
577	37	Female	Brazil	4.6	437.5	6.8	Good	29.1	88	Low	12.2	null	Healthcare	0	1
578	44	Female	Australia	1.6	148	6.6	Good	24.4	84	Low	11.9	null	Other	0	1
579	18	Male	Australia	2.7	260.8	6.5	Good	19.8	85	Low	2.1	null	Student	1	1
580	48	Male	Norway	2.7	253.2	7.5	Good	22.8	89	Low	8.8	null	Healthcare	0	0
581	39	Female	Spain	2	187.8	6.6	Good	27.2	77	Low	1	null	Healthcare	0	0
582	30	Male	India	5.7	542.2	6	Fair	30.2	66	Medium	1.1	Moderate	Office	0	0
583	42	Female	China	0.7	63.5	7.3	Good	26.1	51	Low	12	null	Student	1	0
584	62	Male	Sweden	0	0	6.1	Good	26.7	68	Low	7.1	Mild	Student	0	1
585	37	Male	South Korea	2.7	252.9	8.9	Excellent	22.6	61	Low	13.9	null	Healthcare	1	1
586	37	Male	Netherlands	1.6	151.6	9	Excellent	31.8	69	Low	7.2	Mild	Healthcare	0	0
587	29	Male	Italy	0	0	7.1	Good	23.3	50	Low	12.1	null	Service	0	0
588	24	Male	South Korea	3.1	291.1	6.4	Good	24.3	54	Low	9.6	null	Office	0	0
589	44	Male	Spain	2.9	272	5.5	Fair	24.4	75	Medium	6.5	Mild	Healthcare	0	1
590	24	Male	Sweden	4.2	397.4	6.5	Good	30.5	75	Low	8.3	Mild	Other	1	0
591	35	Male	Canada	1.7	158.3	5.6	Fair	25.5	66	Medium	14	Mild	Service	0	0
592	29	Male	South Korea	0	0	6.8	Good	27.4	54	Low	1.1	null	Healthcare	0	0
593	40	Female	Canada	1.1	103.8	7.7	Good	22	72	Low	7.9	null	Student	1	0
594	39	Male	Netherlands	0	0	8.2	Excellent	25.9	65	Low	0.8	null	Office	0	0
595	47	Female	Switzerland	4.7	450.8	8	Excellent	22	66	Low	8.3	null	Service	0	0
596	28	Female	Brazil	4	380.8	7	Good	21.8	83	Low	9.1	null	Other	0	0
597	31	Female	Australia	4.4	420.4	5.3	Fair	26.7	86	Medium	12.1	Mild	Service	0	0
598	23	Female	South Korea	3.5	332.5	8.2	Excellent	22.9	76	Low	12	null	Office	0	0
599	29	Male	Finland	0.4	37.9	8.1	Excellent	21.5	73	Low	0.2	null	Office	0	0
600	39	Female	India	1.9	179.9	6.2	Good	29	84	Low	1.1	null	Service	0	0

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