Bank-additional Dataset

A 10% sample (4,119 examples) randomly selected from the first dataset, with the same 20 inputs.

age	job	marital	education	default	housing	loan	contact	month	day_of_week	duration	campaign	pdays	previous	poutcome	emp.var.rate	cons.price.idx	cons.conf.idx	euribor3m	nr.employed	y
age	job	marital	education	default	housing	loan	contact	month	day_of_week	duration	campaign	pdays	previous	poutcome	emp.var.rate	cons.price.idx	cons.conf.idx	euribor3m	nr.employed	y
30	blue-collar	married	basic.9y	no	yes	no	cellular	may	fri	487	2	999	0	nonexistent	-1.8	92.893	-46.2	1.313	5099.1	no
39	services	single	high.school	no	no	no	telephone	may	fri	346	4	999	0	nonexistent	1.1	93.994	-36.4	4.855	5191	no
25	services	married	high.school	no	yes	no	telephone	jun	wed	227	1	999	0	nonexistent	1.4	94.465	-41.8	4.962	5228.1	no
38	services	married	basic.9y	no	unknown	unknown	telephone	jun	fri	17	3	999	0	nonexistent	1.4	94.465	-41.8	4.959	5228.1	no
47	admin.	married	university.degree	no	yes	no	cellular	nov	mon	58	1	999	0	nonexistent	-0.1	93.2	-42	4.191	5195.8	no
32	services	single	university.degree	no	no	no	cellular	sep	thu	128	3	999	2	failure	-1.1	94.199	-37.5	0.884	4963.6	no
32	admin.	single	university.degree	no	yes	no	cellular	sep	mon	290	4	999	0	nonexistent	-1.1	94.199	-37.5	0.879	4963.6	no
41	entrepreneur	married	university.degree	unknown	yes	no	cellular	nov	mon	44	2	999	0	nonexistent	-0.1	93.2	-42	4.191	5195.8	no
31	services	divorced	professional.course	no	no	no	cellular	nov	tue	68	1	999	1	failure	-0.1	93.2	-42	4.153	5195.8	no
35	blue-collar	married	basic.9y	unknown	no	no	telephone	may	thu	170	1	999	0	nonexistent	1.1	93.994	-36.4	4.855	5191	no