Datasets:

mstz
/

titanic

passenger_class int8 1 3	is_male bool 2 classes	age float64 -1 80	sibsp float64 0 8	parch float64 0 6	ticket stringlengths 3 20	fare float64 0 512	cabin stringlengths 1 17	embarked stringclasses 4 values	has_survived class label 2 classes
3	true	22	1	0	'A/5 21171'	7.25	''	S	0no
1	false	38	1	0	'PC 17599'	71.2833	C85	C	1yes
3	false	26	0	0	'STON/O2. 3101282'	7.925	''	S	1yes
1	false	35	1	0	113803	53.1	C123	S	1yes
3	true	35	0	0	373450	8.05	''	S	0no
3	true	-1	0	0	330877	8.4583	''	Q	0no
1	true	54	0	0	17463	51.8625	E46	S	0no
3	true	2	3	1	349909	21.075	''	S	0no
3	false	27	0	2	347742	11.1333	''	S	1yes
2	false	14	1	0	237736	30.0708	''	C	1yes
3	false	4	1	1	'PP 9549'	16.7	G6	S	1yes
1	false	58	0	0	113783	26.55	C103	S	1yes
3	true	20	0	0	'A/5. 2151'	8.05	''	S	0no
3	true	39	1	5	347082	31.275	''	S	0no
3	false	14	0	0	350406	7.8542	''	S	0no
2	false	55	0	0	248706	16	''	S	1yes
3	true	2	4	1	382652	29.125	''	Q	0no
2	true	-1	0	0	244373	13	''	S	1yes
3	false	31	1	0	345763	18	''	S	0no
3	false	-1	0	0	2649	7.225	''	C	1yes
2	true	35	0	0	239865	26	''	S	0no
2	true	34	0	0	248698	13	D56	S	1yes
3	false	15	0	0	330923	8.0292	''	Q	1yes
1	true	28	0	0	113788	35.5	A6	S	1yes
3	false	8	3	1	349909	21.075	''	S	0no
3	false	38	1	5	347077	31.3875	''	S	1yes
3	true	-1	0	0	2631	7.225	''	C	0no
1	true	19	3	2	19950	263	'C23 C25 C27'	S	0no
3	false	-1	0	0	330959	7.8792	''	Q	1yes
3	true	-1	0	0	349216	7.8958	''	S	0no
1	true	40	0	0	'PC 17601'	27.7208	''	C	0no
1	false	-1	1	0	'PC 17569'	146.5208	B78	C	1yes
3	false	-1	0	0	335677	7.75	''	Q	1yes
2	true	66	0	0	'C.A. 24579'	10.5	''	S	0no
1	true	28	1	0	'PC 17604'	82.1708	''	C	0no
1	true	42	1	0	113789	52	''	S	0no
3	true	-1	0	0	2677	7.2292	''	C	1yes
3	true	21	0	0	'A./5. 2152'	8.05	''	S	0no
3	false	18	2	0	345764	18	''	S	0no
3	false	14	1	0	2651	11.2417	''	C	1yes
3	false	40	1	0	7546	9.475	''	S	0no
2	false	27	1	0	11668	21	''	S	0no
3	true	-1	0	0	349253	7.8958	''	C	0no
2	false	3	1	2	'SC/Paris 2123'	41.5792	''	C	1yes
3	false	19	0	0	330958	7.8792	''	Q	1yes
3	true	-1	0	0	'S.C./A.4. 23567'	8.05	''	S	0no
3	true	-1	1	0	370371	15.5	''	Q	0no
3	false	-1	0	0	14311	7.75	''	Q	1yes
3	true	-1	2	0	2662	21.6792	''	C	0no
3	false	18	1	0	349237	17.8	''	S	0no
3	true	7	4	1	3101295	39.6875	''	S	0no
3	true	21	0	0	'A/4. 39886'	7.8	''	S	0no
1	false	49	1	0	'PC 17572'	76.7292	D33	C	1yes
2	false	29	1	0	2926	26	''	S	1yes
1	true	65	0	1	113509	61.9792	B30	C	0no
1	true	-1	0	0	19947	35.5	C52	S	1yes
2	false	21	0	0	'C.A. 31026'	10.5	''	S	1yes
3	true	28.5	0	0	2697	7.2292	''	C	0no
2	false	5	1	2	'C.A. 34651'	27.75	''	S	1yes
3	true	11	5	2	'CA 2144'	46.9	''	S	0no
3	true	22	0	0	2669	7.2292	''	C	0no
1	false	38	0	0	113572	80	B28	''	1yes
1	true	45	1	0	36973	83.475	C83	S	0no
3	true	4	3	2	347088	27.9	''	S	0no
1	true	-1	0	0	'PC 17605'	27.7208	''	C	0no
3	true	-1	1	1	2661	15.2458	''	C	1yes
2	false	29	0	0	'C.A. 29395'	10.5	F33	S	1yes
3	true	19	0	0	'S.P. 3464'	8.1583	''	S	0no
3	false	17	4	2	3101281	7.925	''	S	1yes
3	true	26	2	0	315151	8.6625	''	S	0no
2	true	32	0	0	'C.A. 33111'	10.5	''	S	0no
3	false	16	5	2	'CA 2144'	46.9	''	S	0no
2	true	21	0	0	'S.O.C. 14879'	73.5	''	S	0no
3	true	26	1	0	2680	14.4542	''	C	0no
3	true	32	0	0	1601	56.4958	''	S	1yes
3	true	25	0	0	348123	7.65	'F G73'	S	0no
3	true	-1	0	0	349208	7.8958	''	S	0no
3	true	-1	0	0	374746	8.05	''	S	0no
2	true	0.83	0	2	248738	29	''	S	1yes
3	false	30	0	0	364516	12.475	''	S	1yes
3	true	22	0	0	345767	9	''	S	0no
3	true	29	0	0	345779	9.5	''	S	1yes
3	false	-1	0	0	330932	7.7875	''	Q	1yes
1	true	28	0	0	113059	47.1	''	S	0no
2	false	17	0	0	'SO/C 14885'	10.5	''	S	1yes
3	false	33	3	0	3101278	15.85	''	S	1yes
3	true	16	1	3	'W./C. 6608'	34.375	''	S	0no
3	true	-1	0	0	'SOTON/OQ 392086'	8.05	''	S	0no
1	false	23	3	2	19950	263	'C23 C25 C27'	S	1yes
3	true	24	0	0	343275	8.05	''	S	0no
3	true	29	0	0	343276	8.05	''	S	0no
3	true	20	0	0	347466	7.8542	''	S	0no
1	true	46	1	0	'W.E.P. 5734'	61.175	E31	S	0no
3	true	26	1	2	'C.A. 2315'	20.575	''	S	0no
3	true	59	0	0	364500	7.25	''	S	0no
3	true	-1	0	0	374910	8.05	''	S	0no
1	true	71	0	0	'PC 17754'	34.6542	A5	C	0no
1	true	23	0	1	'PC 17759'	63.3583	'D10 D12'	C	1yes
2	false	34	0	1	231919	23	''	S	1yes
2	true	34	1	0	244367	26	''	S	0no

End of preview. Expand in Data Studio

YAML Metadata Error: "configs[0]" must be of type object

Titanic

The Titanic dataset from Kaggle.

Configurations and tasks

Configuration	Task	Description
survival	Binary classification	Has the passanger survived?

Usage

from datasets import load_dataset

dataset = load_dataset("mstz/titanic")["train"]

Downloads last month: 44

Size of downloaded dataset files:

60 kB

Size of the auto-converted Parquet files:

16.7 kB

Number of rows:

891