The input data:

age (years)
income $1.000 / year
lastjobchange (years)
children #
single 0=No
married 0=No
divorced 0=No
sex 0=male
relincharge #
pets #
car $1.000
flat $1.000
house $1.000

20 5.5 1 0 1 0 0 0 0 0 4 1.5 0
23 5.5 3 0 1 0 0 0 0 0 5 1.5 0
30 3 1 2 1 0 1 0 0 0 2 1.5 0
20 3 1 0 1 0 0 0 0 0 1.5 1.5 0
30 4.5 5 3 0 1 0 0 0 0 3 3 0
25 5.5 7 2 0 1 0 0 0 0 2 2.5 0
20 3 2 0 1 0 0 0 0 1 1.5 1 0
20 2.5 1 0 1 0 0 0 0 2 1 1 0
20 5.5 1 0 1 0 0 0 0 0 4 1.5 0
20 5.5 3 0 1 0 0 0 0 0 5 1.5 0
45 3.5 2 3 0 0 1 0 0 0 1 1.5 0
20 3.5 2 0 0 1 0 0 0 0 1 1.5 0
30 4.5 5 3 0 0 1 0 0 0 4 2 0
25 8 2 2 0 1 0 0 0 0 5 0 5
23 7 2 0 1 0 0 0 0 0 4 0 4.5
36 5 2 2 0 1 0 0 1 2 2 2.5 0
37 5.5 17 3 0 1 0 0 1 0 4 3 0
23 8 1 1 0 0 1 0 0 0 8 5 0
29 3.5 4 0 0 1 0 0 1 0 2 2 0
28 3 5 2 0 1 0 0 0 0 1.5 0 0
30 3 3 1 0 0 1 0 0 0 3.2 4 0
25 5.5 7 2 0 1 0 0 0 0 2 2.5 0
32 3 2 0 1 0 0 0 0 1 1.5 1 0
31 2.5 1 0 1 0 0 0 0 2 1 1 0
20 5.5 1 0 1 0 0 1 0 0 4 1.5 0
23 5.5 3 0 1 0 0 1 0 0 5 1.5 0
20 3.5 2 0 0 1 0 1 0 0 1 1.5 0
20 3 1 0 1 0 0 1 0 0 1.5 1.5 0
30 4.5 5 3 0 1 0 1 0 0 3 3 0
25 5.5 7 2 0 1 0 1 0 0 2 2.5 0
20 3 2 0 1 0 0 1 0 1 1.5 1 0
20 2.5 1 0 1 0 0 1 0 2 1 1 0
20 5.5 1 0 1 0 0 1 0 0 4 1.5 0
20 5.5 3 0 1 0 0 1 0 0 5 1.5 0
45 3.5 2 3 0 0 1 1 0 0 1 1.5 0
30 3 1 2 0 0 1 1 0 0 2 1.5 0
30 4.5 5 3 0 0 1 1 0 0 4 2 0
25 8 2 2 0 1 0 1 0 0 5 0 5
23 7 2 0 1 0 0 1 0 0 4 0 4.5
36 5 2 2 0 1 0 1 1 2 2 2.5 0
37 5.5 17 3 0 1 0 1 1 0 4 3 0
23 8 1 1 0 0 1 1 0 0 8 5 0
29 3.5 4 0 0 1 0 1 1 0 2 2 0
28 3 5 2 0 1 0 1 0 0 1.5 0 0
30 3 3 1 0 0 1 1 0 0 3.2 4 0
25 5.5 7 2 0 1 0 1 0 0 2 2.5 0
32 3 2 0 1 0 0 1 0 1 1.5 1 0
31 2.5 1 0 1 0 0 1 0 2 1 1 0
21 5.5 1 0 1 0 0 0 0 0 4 1.5 0
22 5.5 3 0 1 0 0 0 0 0 5 1.5 0
21 3.5 2 0 0 1 0 0 0 0 1 1.5 0
21 3 1 0 1 0 0 0 0 0 1.5 1.5 0
31 4.5 5 3 0 1 0 0 0 0 3 3 0
27 5.5 7 2 0 1 0 0 0 0 2 2.5 0
22 3 2 0 1 0 0 0 0 1 1.5 1 0
22 2.5 1 0 1 0 0 0 0 2 1 1 0
21 5.5 1 0 1 0 0 0 0 0 4 1.5 0
23 5.5 3 0 1 0 0 0 0 0 5 1.5 0
46 3.5 2 3 0 0 1 0 0 0 1 1.5 0
32 3 1 2 0 0 1 0 0 0 2 1.5 0
32 4.5 5 3 0 0 1 0 0 0 4 2 0
24 8 2 2 0 1 0 0 0 0 5 0 5
25 7 2 0 1 0 0 0 0 0 4 0 4.5
37 5 2 2 0 1 0 0 1 2 2 2.5 0
38 5.5 17 3 0 1 0 0 1 0 4 3 0
24 8 1 1 0 0 1 0 0 0 8 5 0
31 3.5 4 0 0 1 0 0 1 0 2 2 0
28 3 5 2 0 1 0 0 0 0 1.5 0 0
37 3 3 1 0 0 1 0 0 0 3.2 4 0
36 5.5 7 2 0 1 0 0 0 0 2 2.5 0
26 3 2 0 1 0 0 0 0 1 1.5 1 0
33 2.5 1 0 1 0 0 0 0 2 1 1 0
22 5.5 1 0 1 0 0 1 0 0 4 1.5 0
22 5.5 3 0 1 0 0 1 0 0 5 1.5 0
21 3.5 2 0 0 1 0 1 0 0 1 1.5 0
22 3 1 0 1 0 0 1 0 0 1.5 1.5 0
32 4.5 5 3 0 1 0 1 0 0 3 3 0
26 5.5 7 2 0 1 0 1 0 0 2 2.5 0
23 3 2 0 1 0 0 1 0 1 1.5 1 0
22 2.5 1 0 1 0 0 1 0 2 1 1 0
22 5.5 1 0 1 0 0 1 0 0 4 1.5 0
22 5.5 3 0 1 0 0 1 0 0 5 1.5 0
43 3.5 2 3 0 0 1 1 0 0 1 1.5 0
36 3 1 2 0 0 1 1 0 0 2 1.5 0
29 4.5 5 3 0 0 1 1 0 0 4 2 0
26 8 2 2 0 1 0 1 0 0 5 0 5
23 7 2 0 1 0 0 1 0 0 4 0 4.5
38 5 2 2 0 0 1 1 1 2 5 2.5 0
37 4 17 3 0 1 0 1 1 0 4 3 0
24 7 1 1 0 0 1 1 0 0 8 5 0
30 4 4 0 0 1 0 1 1 0 2 2 0
28 3 5 2 0 1 0 1 0 0 1.5 0 0
34 3 3 1 0 0 1 1 0 0 3.2 4 0
27 5.5 7 2 0 1 0 1 0 0 2 2.5 0
33 3 2 0 1 0 0 1 0 1 1.5 1 0
32 2.5 1 0 1 0 0 1 0 2 1 1 0
26 4 2 0 1 0 0 0 0 1 1.5 1 0
33 3 1 0 1 0 0 0 0 2 5 3 0
22 6 1 0 1 0 0 1 0 0 4 1.5 0
22 7 3 0 1 0 0 1 0 0 5 1.5 0

The output data:

payed 0 = No

1
1
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
0
1
1
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
0
1
1
1
1
1
0
1
1
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
0
1
1
1
1
1
0
1
1
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
0
1
1
1
0
1
0
1
1
0
1
1
1
1
0
1
1