Split (1)

train · 45.2k rows

age int64	job string	marital_status string	education_level int64	has_defaulted bool	account_balance int64	has_housing_loan bool	has_personal_loan bool	month_of_last_contact string	number_of_calls_in_ad_campaign int64	days_since_last_contact_of_previous_campaign int64	successful_subscription int64
42	blue-collar	married	0	false	408	true	false	may	2	-1	0
51	admin.	married	2	false	531	true	false	may	2	-1	0
57	retired	married	2	false	211	true	false	may	2	-1	0
36	services	single	2	false	62	true	false	may	2	-1	0
53	services	married	0	false	257	true	false	may	2	-1	0
50	technician	married	2	false	1,234	true	false	may	2	-1	0
54	management	married	3	false	313	true	false	may	2	-1	0
55	blue-collar	married	2	false	89	true	false	may	3	-1	0
44	blue-collar	married	2	false	129	true	true	may	2	-1	0
43	management	married	0	false	0	true	false	may	2	-1	0
56	admin.	married	2	false	353	true	false	may	2	-1	0
54	technician	married	0	false	851	true	false	may	2	-1	0
55	services	divorced	1	false	96	true	true	may	2	-1	0
37	services	divorced	2	false	398	true	true	may	2	-1	0
33	admin.	single	3	false	193	false	false	may	2	-1	0
46	admin.	married	2	false	-358	true	false	may	2	-1	0
36	blue-collar	married	2	false	539	true	true	may	2	-1	0
51	technician	single	2	false	0	true	false	may	2	-1	0
40	retired	single	1	false	0	false	false	may	2	-1	0
42	blue-collar	married	2	false	490	true	false	may	2	-1	0
51	blue-collar	married	2	false	0	true	false	may	2	-1	0
49	blue-collar	married	0	false	403	true	false	may	2	-1	0
48	management	married	2	false	161	true	false	may	3	-1	0
32	technician	divorced	3	false	2,558	false	false	may	2	-1	0
31	admin.	single	2	false	98	true	false	may	2	-1	0
55	management	single	3	false	115	false	false	may	4	-1	0
40	blue-collar	single	2	false	436	true	false	may	3	-1	0
47	technician	married	3	false	831	true	false	may	3	-1	0
57	technician	married	0	false	206	true	false	may	3	-1	0
41	blue-collar	married	2	false	290	true	false	may	2	-1	0
48	blue-collar	married	2	false	1	false	false	may	3	-1	0
42	blue-collar	married	0	false	57	true	false	may	2	-1	0
30	blue-collar	single	2	false	-457	true	false	may	2	-1	0
58	management	single	3	false	1,387	true	false	may	5	-1	0
45	management	divorced	3	false	24,598	true	false	may	3	-1	0
49	blue-collar	married	2	false	30	true	false	may	4	-1	0
42	admin.	single	2	false	1,022	true	false	may	2	-1	0
53	technician	married	2	false	56	true	true	may	2	-1	0
51	admin.	single	2	true	-2	false	false	may	3	-1	0
32	services	single	2	false	121	true	false	may	2	-1	0
41	blue-collar	single	2	false	842	true	false	may	3	-1	0
43	management	divorced	2	false	693	true	false	may	3	-1	0
40	blue-collar	divorced	2	false	-333	true	false	may	2	-1	0
50	blue-collar	married	1	false	1,533	true	false	may	2	-1	0
34	management	married	3	false	46	true	false	may	4	-1	0
53	services	married	0	false	18	false	false	may	2	-1	0
45	technician	married	2	false	44	true	false	may	4	-1	0
39	blue-collar	married	1	false	-100	true	false	may	2	-1	0
44	services	married	3	false	510	true	false	may	4	-1	0
55	management	married	3	false	685	true	false	may	3	-1	0
46	management	single	3	false	187	true	false	may	2	-1	0
45	blue-collar	married	2	false	66	true	false	may	2	-1	0
34	admin.	married	2	false	560	true	false	may	3	-1	0
36	blue-collar	married	2	false	0	true	false	may	2	-1	0
59	unknown	divorced	0	false	27	false	false	may	3	-1	0
31	admin.	single	2	false	12	true	false	may	2	-1	0
44	blue-collar	single	2	false	34	true	false	may	4	-1	0
33	entrepreneur	single	3	false	1,068	true	false	may	2	-1	0
40	blue-collar	married	2	false	211	true	false	may	4	-1	0
46	admin.	single	3	false	377	true	false	may	2	-1	0
48	management	married	3	false	263	true	false	may	2	-1	0
42	services	married	2	false	1,263	true	false	may	2	-1	0
27	services	married	2	false	8	true	false	may	3	-1	0
48	admin.	married	2	false	126	true	true	may	2	-1	0
59	admin.	married	2	false	230	true	false	may	3	-1	0
46	technician	married	3	false	841	true	false	may	1	-1	0
38	admin.	divorced	2	false	308	true	false	may	1	-1	0
43	management	divorced	3	false	1	true	false	may	1	-1	0
38	admin.	divorced	3	false	86	true	false	may	1	-1	0
23	student	single	2	false	157	true	false	may	1	-1	0
34	services	married	2	false	22	true	false	may	1	-1	0
38	admin.	married	2	false	46	true	true	may	1	-1	0
37	blue-collar	married	2	false	1,293	false	false	may	1	-1	0
25	admin.	single	2	false	122	true	false	may	1	-1	0
48	blue-collar	married	0	false	131	true	false	may	1	-1	0
49	blue-collar	single	2	false	143	true	false	may	1	-1	0
38	admin.	single	2	false	393	false	false	may	2	-1	0
43	blue-collar	married	1	false	98	true	false	may	1	-1	0
33	management	married	3	false	0	true	false	may	1	-1	0
55	blue-collar	married	2	false	224	true	false	may	1	-1	0
38	blue-collar	married	2	false	757	true	false	may	1	-1	0
49	services	married	2	false	245	true	true	may	1	-1	0
40	management	married	2	false	8,486	false	false	may	3	-1	0
43	admin.	married	0	false	350	false	false	may	1	-1	0
38	blue-collar	married	2	false	20	true	false	may	1	-1	0
58	services	married	2	false	1,667	true	true	may	1	-1	0
57	technician	married	0	false	345	true	false	may	1	-1	0
32	unemployed	married	2	false	10	true	false	may	4	-1	0
56	management	married	3	false	830	true	true	may	1	-1	1
58	blue-collar	divorced	0	false	29	true	false	may	1	-1	0
60	retired	divorced	2	false	545	true	false	may	1	-1	1
37	technician	married	3	false	8,730	true	false	may	1	-1	0
46	technician	divorced	3	false	477	true	false	may	1	-1	0
27	admin.	married	2	false	4	true	false	may	1	-1	0
43	blue-collar	married	2	false	1,205	true	false	may	2	-1	0
32	technician	single	2	false	0	true	true	may	3	-1	0
40	admin.	single	2	false	263	true	false	may	1	-1	0
38	admin.	married	2	false	1	false	false	may	1	-1	0
34	blue-collar	married	2	false	283	false	true	may	1	-1	0
47	blue-collar	married	1	false	206	true	false	may	1	-1	0

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