Chat with us, powered by LiveChat Codelist Codelist Var. # Variable Name Description Variable Type Code Description 1.   OBS# - STUDENT SOLUTION USA

Codelist Codelist Var. # Variable Name Description Variable Type Code Description 1.   OBS#

Codelist

Codelist
Var. # Variable Name Description Variable Type Code Description
1.   OBS# Observation No. Categorical
2.   CHK_ACCT Checking account status Categorical 0 : < 0 DM
1: 0 < …< 200 DM
2 : => 200 DM
3: no checking account
3.   DURATION Duration of credit in months Numerical
4.   HISTORY Credit history Categorical 0: no credits taken
1: all credits at this bank paid back duly
2: existing credits paid back duly till now
3: delay in paying off in the past
4: critical account
5.   NEW_CAR Purpose of credit Binary car (new) 0: No, 1: Yes
6. USED_CAR Purpose of credit Binary car (used) 0: No, 1: Yes
7. FURNITURE Purpose of credit Binary furniture/equipment 0: No, 1: Yes
8. RADIO/TV Purpose of credit Binary radio/television 0: No, 1: Yes
9. EDUCATION Purpose of credit Binary education 0: No, 1: Yes
10. RETRAINING Purpose of credit Binary retraining 0: No, 1: Yes
11. AMOUNT Credit amount Numerical
12. SAV_ACCT Average balance in savings account Categorical 0 : < 100 DM
1 : 100<= … < 500 DM
2 : 500<= … < 1000 DM
3 : =>1000 DM
4 : unknown/ no savings account
13. EMPLOYMENT Present employment since Categorical 0 : unemployed
1: < 1 year
2 : 1 <= … < 4 years
3 : 4 <=… < 7 years
4 : >= 7 years
14. INSTALL_RATE Installment rate as % of disposable income Numerical
15. MALE_DIV Applicant is male and divorced Binary 0: No, 1: Yes
16. MALE_SINGLE Applicant is male and single Binary 0: No, 1: Yes
17. MALE_MAR_WID Applicant is male and married or a widower Binary 0: No, 1: Yes
18. CO-APPLICANT Application has a co-applicant Binary 0: No, 1: Yes
19. GUARANTOR Applicant has a guarantor Binary 0: No, 1: Yes
20. PRESENT_RESIDENT Present resident since – years Categorical 0: <= 1 year
1<…<=2 years
2<…<=3 years
3:>4years
21. REAL_ESTATE Applicant owns real estate Binary 0: No, 1: Yes
22. PROP_UNKN_NONE Applicant owns no property (or unknown) Binary 0: No, 1: Yes
23. AGE Age in years Numerical
24. OTHER_INSTALL Applicant has other installment plan credit Binary 0: No, 1: Yes
25. RENT Applicant rents Binary 0: No, 1: Yes
26. OWN_RES Applicant owns residence Binary 0: No, 1: Yes
27. NUM_CREDITS Number of existing credits at this bank Numerical
28. JOB Nature of job Categorical 0 : unemployed/ unskilled – non-resident
1 : unskilled – resident
2 : skilled employee / official
3 : management/ self-employed/highly qualified employee/ officer
29. NUM_DEPENDENTS Number of people for whom liable to provide maintenance Numerical
30. TELEPHONE Applicant has phone in his or her name Binary 0: No, 1: Yes
31. FOREIGN Foreign worker Binary 0: No, 1: Yes
32 RESPONSE Credit rating is good Binary 0: No, 1: Yes

Data

OBS# CHK_ACCT DURATION HISTORY NEW_CAR USED_CAR FURNITURE RADIO/TV EDUCATION RETRAINING AMOUNT SAV_ACCT EMPLOYMENT INSTALL_RATE MALE_DIV MALE_SINGLE MALE_MAR_or_WID CO-APPLICANT GUARANTOR PRESENT_RESIDENT REAL_ESTATE PROP_UNKN_NONE AGE OTHER_INSTALL RENT OWN_RES NUM_CREDITS JOB NUM_DEPENDENTS TELEPHONE FOREIGN RESPONSE
1 0 6 4 0 0 0 1 0 0 1169 4 4 4 0 1 0 0 0 4 1 0 67 0 0 1 2 2 1 1 0 1
2 1 48 2 0 0 0 1 0 0 5951 0 2 2 0 0 0 0 0 2 1 0 22 0 0 1 1 2 1 0 0 0
3 3 12 4 0 0 0 0 1 0 2096 0 3 2 0 1 0 0 0 3 1 0 49 0 0 1 1 1 2 0 0 1
4 0 42 2 0 0 1 0 0 0 7882 0 3 2 0 1 0 0 1 4 0 0 45 0 0 0 1 2 2 0 0 1
5 0 24 3 1 0 0 0 0 0 4870 0 2 3 0 1 0 0 0 4 0 1 53 0 0 0 2 2 2 0 0 0
6 3 36 2 0 0 0 0 1 0 9055 4 2 2 0 1 0 0 0 4 0 1 35 0 0 0 1 1 2 1 0 1
7 3 24 2 0 0 1 0 0 0 2835 2 4 3 0 1 0 0 0 4 0 0 53 0 0 1 1 2 1 0 0 1
8 1 36 2 0 1 0 0 0 0 6948 0 2 2 0 1 0 0 0 2 0 0 35 0 1 0 1 3 1 1 0 1
9 3 12 2 0 0 0 1 0 0 3059 3 3 2 1 0 0 0 0 4 1 0 61 0 0 1 1 1 1 0 0 1
10 1 30 4 1 0 0 0 0 0 5234 0 0 4 0 0 1 0 0 2 0 0 28 0 0 1 2 3 1 0 0 0
11 1 12 2 1 0 0 0 0 0 1295 0 1 3 0 0 0 0 0 1 0 0 25 0 1 0 1 2 1 0 0 0
12 0 48 2 0 0 0 0 0 1 4308 0 1 3 0 0 0 0 0 4 0 0 24 0 1 0 1 2 1 0 0 0
13 1 12 2 0 0 0 1 0 0 1567 0 2 1 0 0 0 0 0 1 0 0 22 0 0 1 1 2 1 1 0 1
14 0 24 4 1 0 0 0 0 0 1199 0 4 4 0 1 0 0 0 4 0 0 60 0 0 1 2 1 1 0 0 0
15 0 15 2 1 0 0 0 0 0 1403 0 2 2 0 0 0 0 0 4 0 0 28 0 1 0 1 2 1 0 0 1
16 0 24 2 0 0 0 1 0 0 1282 1 2 4 0 0 0 0 0 2 0 0 32 0 0 1 1 1 1 0 0 0
17 3 24 4 0 0 0 1 0 0 2424 4 4 4 0 1 0 0 0 4 0 0 53 0 0 1 2 2 1 0 0 1
18 0 30 0 0 0 0 0 0 1 8072 4 1 2 0 1 0 0 0 3 0 0 25 1 0 1 3 2 1 0 0 1
19 1 24 2 0 1 0 0 0 0 12579 0 4 4 0 0 0 0 0 2 0 1 44 0 0 0 1 3 1 1 0 0
20 3 24 2 0 0 0 1 0 0 3430 2 4 3 0 1 0 0 0 2 0 0 31 0 0 1 1 2 2 1 0 1
21 3 9 4 1 0 0 0 0 0 2134 0 2 4 0 1 0 0 0 4 0 0 48 0 0 1 3 2 1 1 0 1
22 0 6 2 0 0 0 1 0 0 2647 2 2 2 0 1 0 0 0 3 1 0 44 0 1 0 1 2 2 0 0 1
23 0 10 4 1 0 0 0 0 0 2241 0 1 1 0 1 0 0 0 3 1 0 48 0 1 0 2 1 2 0 1 1
24 1 12 4 0 1 0 0 0 0 1804 1 1 3 0 1 0 0 0 4 0 0 44 0 0 1 1 2 1 0 0 1
25 3 10 4 0 0 1 0 0 0 2069 4 2 2 0 0 1 0 0 1 0 0 26 0 0 1 2 2 1 0 1 1
26 0 6 2 0 0 1 0 0 0 1374 0 2 1 0 1 0 0 0 2 1 0 36 1 0 1 1 1 1 1 0 1
27 3 6 0 0 0 0 1 0 0 426 0 4 4 0 0 1 0 0 4 0 0 39 0 0 1 1 1 1 0 0 1
28 2 12 1 0 0 0 1 0 0 409 3 2 3 0 0 0 0 0 3 1 0 42 0 1 0 2 2 1 0 0 1
29 1 7 2 0 0 0 1 0 0 2415 0 2 3 0 1 0 0 1 2 1 0 34 0 0 1 1 2 1 0 0 1
30 0 60 3 0 0 0 0 0 1 6836 0 4 3 0 1 0 0 0 4 0 1 63 0 0 1 2 2 1 1 0 0
31 1 18 2 0 0 0 0 0 1 1913 3 1 3 0 0 1 0 0 3 1 0 36 1 0 1 1 2 1 1 0 1
32 0 24 2 0 0 1 0 0 0 4020 0 2 2 0 1 0 0 0 2 0 0 27 1 0 1 1 2 1 0 0 1
33 1 18 2 1 0 0 0 0 0 5866 1 2 2 0 1 0 0 0 2 0 0 30 0 0 1 2 2 1 1 0 1
34 3 12 4 0 0 0 0 0 1 1264 4 4 4 0 1 0 0 0 4 0 1 57 0 1 0 1 1 1 0 0 1
35 2 12 2 0 0 1 0 0 0 1474 0 1 4 0 0 0 0 0 1 0 0 33 1 0 1 1 3 1 1 0 1
36 1 45 4 0 0 0 1 0 0 4746 0 1 4 0 1 0 0 0 2 0 0 25 0 0 1 2 1 1 0 0 0
37 3 48 4 0 0 0 0 1 0 6110 0 2 1 0 1 0 0 0 3 0 1 31 1 0 0 1 2 1 1 0 1
38 2 18 2 0 0 0 1 0 0 2100 0 2 4 0 1 0 1 0 2 1 0 37 1 0 1 1 2 1 0 0 0
39 2 10 2 0 0 0 0 0 0 1225 0 2 2 0 1 0 0 0 2 0 0 37 0 0 1 1 2 1 1 0 1
40 1 9 2 0 0 0 1 0 0 458 0 2 4 0 1 0 0 0 3 1 0 24 0 0 1 1 2 1 0 0 1
41 3 30 2 0 0 0 1 0 0 2333 2 4 4 0 1 0 0 0 2 0 0 30 1 0 1 1 3 1 0 0 1
42 1 12 2 0 0 0 1 0 0 1158 2 2 3 1 0 0 0 0 1 0 0 26 0 0 1 1 2 1 1 0 1
43 1 18 3 0 0 0 0 0 0 6204 0 2 2 0 1 0 0 0 4 1 0 44 0 0 1 1 1 2 1 0 1
44 0 30 4 0 1 0 0 0 0 6187 1 3 1 0 0 1 0 0 4 0 0 24 0 1 0 2 2 1 0 0 1
45 0 48 4 0 1 0 0 0 0 6143 0 4 4 0 0 0 0 0 4 0 1 58 1 0 0 2 1 1 0 0 0
46 3 11 4 1 0 0 0 0 0 1393 0 1 4 0 0 0 0 0 4 0 0 35 0 0 1 2 3 1 0 0 1
47 3 36 2 0 0 0 1 0 0 2299 2 4 4 0 1 0 0 0 4 0 0 39 0 0 1 1 2 1 0 0 1
48 0 6 2 0 1 0 0 0 0 1352 2 0 1 0 0 0 0 0 2 0 0 23 0 1 0 1 0 1 1 0 1
49 3 11 4 1 0 0 0 0 0 7228 0 2 1 0 1 0 0 0 4 0 0 39 0 0 1 2 1 1 0 0 1
50 3 12 2 0 0 0 1 0 0 2073 1 2 4 0 0 0 1 0 2 1 0 28 0 0 1 1 2 1 0 0 1
51 1 24 3 0 0 1 0 0 0 2333 4 1 4 0 1 0 0 0 2 0 0 29 1 0 1 1 1 1 0 0 1
52 1 27 3 0 1 0 0 0 0 5965 0 4 1 0 1 0 0 0 2 0 0 30 0 0 1 2 3 1 1 0 1
53 3 12 2 0 0 0 1 0 0 1262 0 2 3 0 1 0 0 0 2 0 0 25 0 0 1 1 2 1 0 0 1
54 3 18 2 0 1 0 0 0 0 3378 4 2 2 0 1 0 0 0 1 0 0 31 0 0 1 1 2 1 1 0 1
55 1 36 3 1 0 0 0 0 0 2225 0 4 4 0 1 0 0 0 4 0 1 57 1 0 0 2 2 1 1 0 0
56 3 6 1 1 0 0 0 0 0 783 4 2 1 0 1 0 0 1 2 1 0 26 1 0 1 1 1 2 0 0 1
57 1 12 2 0 0 0 1 0 0 6468 4 0 2 0 1 0 0 0 1 0 1 52 0 0 1 1 3 1 1 0 0
58 3 36 4 0 0 0 1 0 0 9566 0 2 2 0 0 0 0 0 2 0 0 31 1 0 1 2 2 1 0 0 1
59 2 18 2 1 0 0 0 0 0 1961 0 4 3 0 0 0 0 0 2 0 0 23 0 0 1 1 3 1 0 0 1
60 0 36 4 0 0 1 0 0 0 6229 0 1 4 0 0 0 1 0 4 0 1 23 0 1 0 2 1 1 1 0 0
61 1 9 2 0 0 0 0 0 1 1391 0 2 2 0 0 1 0 0 1 1 0 27 1 0 1 1 2 1 1 0 1
62 1 15 4 0 0 0 1 0 0 1537 4 4 4 0 1 0 0 1 4 1 0 50 0 0 1 2 2 1 1 0 1
63 1 36 0 0 0 0 0 0 1 1953 0 4 4 0 1 0 0 0 4 0 1 61 0 0 0 1 3 1 1 0 0
64 1 48 0 0 0 0 0 0 1 14421 0 2 2 0 1 0 0 0 2 0 0 25 0 0 1 1 2 1 1 0 0
65 3 24 2 0 0 0 1 0 0 3181 0 1 4 0 0 0 0 0 4 0 0 26 0 0 1 1 2 1 1 0 1
66 3 27 2 0 0 0 0 0 0 5190 4 4 4 0 1 0 0 0 4 0 0 48 0 0 1 4 2 2 1 0 1
67 3 12 2 0 0 0 1 0 0 2171 0 1 2 0 0 0 0 0 2 0 0 29 1 0 1 1 2 1 0 0 1
68 1 12 2 1 0 0 0 0 0 1007 3 2 4 0 0 1 0 0 1 1 0 22 0 0 1 1 2 1 0 0 1
69 3 36 2 0 0 0 0 1 0 1819 0 2 4 0 1 0 0 0 4 0 1 37 1 0 0 1 2 1 1 0 0
70 3 36 2 0 0 0 1 0 0 2394 4 2 4 0 0 0 0 0 4 0 0 25 0 0 1 1 2 1 0 0 1
71 3 36 2 0 1 0 0 0 0 8133 0 2 1 0 0 0 0 0 2 0 0 30 1 0 1 1 2 1 0 0 1
72 3 7 4 0 0 0 1 0 0 730 4 4 4 0 1 0 0 0 2 0 0 46 0 1 0 2 1 1 1 0 1
73 0 8 4 0 0 0 0 0 0 1164 0 4 3 0 1 0 0 0 4 0 1 51 1 0 0 2 3 2 1 0 1
74 1 42 4 0 0 0 0 0 1 5954 0 3 2 0 0 0 0 0 1 1 0 41 1 0 1 2 1 1 0 0 1
75 0 36 2 0 0 0 0 1 0 1977 4 4 4 0 1 0 0 0 4 0 1 40 0 0 1 1 3 1 1 0 0
76 0 12 4 0 1 0 0 0 0 1526 0 4 4 0 1 0 0 0 4 0 1 66 0 0 0 2 3 1 0 0 1
77 0 42 2 0 0 0 1 0 0 3965 0 1 4 0 1 0 0 0 3 0 0 34 0 0 1 1 2 1 0 0 0
78 1 11 3 0 0 0 1 0 0 4771 0 3 2 0 1 0 0 0 4 0 0 51 0 0 1 1 2 1 0 0 1
79 3 54 0 0 1 0 0 0 0 9436 4 2 2 0 1 0 0 0 2 0 0 39 0 0 1 1 1 2 0 0 1
80 1 30 2 0 0 1 0 0 0 3832 0 1 2 0 0 1 0 0 1 0 0 22 0 0 1 1 2 1 0 0 1
81 3 24 2 0 0 0 1 0 0 5943 4 1 1 0 0 0 0 0 1 0 0 44 0 0 1 2 2 1 1 0 0
82 3 15 2 0 0 0 1 0 0 1213 2 4 4 0 1 0 0 0 3 0 0 47 1 0 1 1 2 1 1 0 1
83 3 18 2 0 0 0 0 0 1 1568 1 2 3 0 0 0 0 0 4 0 0 24 0 1 0 1 1 1 0 0 1
84 0 24 2 0 0 0 0 0 0 1755 0 4 4 0 0 0 0 1 4 1 0 58 0 0 1 1 1 1 1 0 1
85 0 10 2 0 0 0 1 0 0 2315 0 4 3 0 1 0 0 0 4 1 0 52 0 0 1 1 1 1 0 0 1
86 3 12 4 0 0 0 0 0 1 1412 0 2 4 0 0 0 0 1 2 1 0 29 0 0 1 2 3 1 1 0 1
87 1 18 4 0 0 1 0 0 0 1295 0 1 4 0 0 0 0 0 1 0 0 27 0 0 1 2 2 1 0 0 1
88 1 36 2 0 0 0 0 1 0 12612 1 2 1 0 1 0 0 0 4 0 1 47 0 0 0 1 2 2 1 0 0
89 0 18 2 1 0 0 0 0 0 2249 1 3 4 0 1 0 0 0 3 0 0 30 0 0 1 1 3 2 1 0 1
90 0 12 0 0 0 0 0 0 0 1108 0 3 4 0 1 0 0 0 3 1 0 28 0 0 1 2 2 1 0 0 0
91 3 12 4 0 0 0 1 0 0 618 0 4 4 0 1 0 0 0 4 1 0 56 0 0 1 1 2 1 0 0 1
92 0 12 4 0 1 0 0 0 0 1409 0 4 4 0 1 0 0 0 3 1 0 54 0 0 1 1 2 1 0 0 1
93 3 12 4 0 0 0 1 0 0 797 4 4 4 0 0 0 0 0 3 0 0 33 1 0 1 1 1 2 0 0 0
94 2 24 4 0 0 1 0 0 0 3617 4 4 4 0 1 0 1 0 4 0 1 20 0 1 0 2 2 1 0 0 1
95 1 12 2 1 0 0 0 0 0 1318 3 4 4 0 1 0 0 0 4 1 0 54 0 0 1 1 2 1 1 0 1
96 1 54 0 0 0 0 0 0 1 15945 0 1 3 0 1 0 0 0 4 0 1 58 0 1 0 1 2 1 1 0 0
97 3 12 4 0 0 0 0 1 0 2012 4 3 4 0 0 0 0 0 2 0 0 61 0 0 1 1 2 1 0 0 1
98 1 18 2 0 0 0 0 0 1 2622 1 2 4 0 1 0 0 0 4 0 0 34 0 0 1 1 2 1 0 0 1
99 1 36 4 0 0 0 1 0 0 2337 0 4 4 0 1 0 0 0 4 1 0 36 0 0 1 1 2 1 0 0 1
100 1 20 3 0 1 0 0 0 0 7057 4 3 3 0 1 0 0 0 4 0 0 36 1 1 0 2 3 2 1 0 1
101 3 24 2 1 0 0 0 0 0 1469 1 4 4 0 0 1 0 0 4 1 0 41 0 1 0 1 1 1 0 0 1
102 1 36 2 0 0 0 1 0 0 2323 0 3 4 0 1 0 0 0 4 0 0 24 0 1 0 1 2 1 0 0 1
103 3 6 3 0 0 0 1 0 0 932 0 2 3 0 0 0 0 0 2 1 0 24 0 0 1 1 2 1 0 0 1
104 1 9 4 0 0 1 0 0 0 1919 0 3 4 0 1 0 0 0 3 0 0 35 0 1 0 1 2 1 1 0 1
105 3 12 2 0 1 0 0 0 0 2445 4 1 2 0 0 1 0 0 4 0 0 26 0 1 0 1 2 1 1 0 1
106 1 24 4 0 0 0 0 0 0 11938 0 2 2 0 1 0 1 0 3 0 0 39 0 0 1 2 3 2 1 0 0
107 3 18 1 1 0 0 0 0 0 6458 0 4 2 0 1 0 0 0 4 0 1 39 1 0 1 2 3 2 1 0 0
108 1 12 2 1 0 0 0 0 0 6078 0 3 2 0 1 0 0 0 2 0 0 32 0 0 1 1 2 1 0 0 1
109 0 24 2 0 0 1 0 0 0 7721 4 1 1 0 0 0 0 0 2 0 0 30 0 0 1 1 2 1 1 1 1
110 1 14 2 0 0 0 0 0 1 1410 2 4 1 0 0 1 0 0 2 1 0 35 0 0 1 1 2 1 1 0 1
111 1 6 3 0 0 0 0 0 1 1449 1 4 1 1 0 0 0 0 2 0 0 31 1 0 1 2 2 2 0 0 1
112 2 15 2 0 0 0 0 1 0 392 0 1 4 0 0 0 0 0 4 0 0 23 0 1 0 1 2 1 1 0 1
113 1 18 2 1 0 0 0 0 0 6260 0 3 3 0 1 0 0 0 3 1 0 28 0 1 0 1 1 1 0 0 1
114 3 36 4 1 0 0 0 0 0 7855 0 2 4 0 0 0 0 0 2 1 0 25 1 0 1 2 2 1 1 0 0
115 0 12 2 0 0 0 1 0 0 1680 2 4 3 0 0 1 0 0 1 1 0 35 0 0 1 1 2 1 0 0 1
116 3 48 4 0 0 0 1 0 0 3578 4 4 4 0 1 0 0 0 1 1 0 47 0 0 1 1 2 1 1 0 1
117 0 42 2 0 0 0 1 0 0 7174 4 3 4 0 0 0 0 0 3 0 0 30 0 0 1 1 3 1 1 0 0
118 0 10 4 0 0 1 0 0 0 2132 4 1 2 0 0 0 1 0 3 1 0 27 0 1 0 2 2 1 0 1 1
119 0 33 4 0 0 1 0 0 0 4281 2 2 1 0 0 0 0 0 4 0 0 23 0 0 1 2 2 1 0 0 0
120 1 12 4 1 0 0 0 0 0 2366 2 3 3 1 0 0 0 0 3 0 0 36 0 0 1 1 3 1 1 0 1
121 0 21 2 0 0 0 1 0 0 1835 0 2 3 0 0 0 0 0 2 1 0 25 0 0 1 2 2 1 1 0 0
122 3 24 4 0 1 0 0 0 0 3868 0 4 4 0 0 0 0 0 2 0 0 41 0 1 0 2 3 1 1 0 1
123 3 12 2 0 0 1 0 0 0 1768 0 2 3 0 1 0 0 0 2 1 0 24 0 1 0 1 1 1 0 0 1
124 2 10 4 1 0 0 0 0 0 781 0 4 4 0 1 0 0 0 4 0 1 63 0 0 0 2 2 1 1 0 1
125 1 18 2 0 0 1 0 0 0 1924 4 1 4 0 0 0 0 0 3 1 0 27 0 1 0 1 2 1 0 0 0
126 0 12 4 1 0 0 0 0 0 2121 0 2 4 0 1 0 0 0 2 0 0 30 0 0 1 2 2 1 0 0 1
127 0 12 2 0 0 0 1 0 0 701 0 2 4 0 0 1 0 0 2 1 0 40 0 0 1 1 1 1 0 0 1
128 1 12 2 0 0 0 0 0 0 639 0 2 4 0 1 0 0 0 2 0 0 30 0 0 1 1 2 1 0 0 0
129 1 12 4 0 1 0 0 0 0 1860 0 0 4 0 1 0 0 0 2 0 0 34 0 0 1 2 3 1 1 0 1
130 0 12 4 1 0 0 0 0 0 3499 0 2 3 0 0 0 1 0 2 1 0 29 0 0 1 2 2 1 0 0 0
131 1 48 2 1 0 0 0 0 0 8487 4 3 1 0 0 0 0 0 2 0 0 24 0 0 1 1 2 1 0 0 1
132 0 36 3 0 0 0 0 1 0 6887 0 2 4 0 1 0 0 0 3 0 0 29 1 0 1 1 2 1 1 0 0
133 3 15 2 0 0 1 0 0 0 2708 0 1 2 0 1 0 0 0 3 0 0 27 1 0 1 2 1 1 0 0 1
134 3 18 2 0 0 1 0 0 0 1984 0 2 4 0 1 0 0 0 4 0 1 47 1 0 0 2 2 1 0 0 1
135 3 60 2 0 0 0 1 0 0 10144 1 3 2 0 0 0 0 0 4 1 0 21 0 0 1 1 2 1 1 0 1
136 3 12 4 0 0 0 1 0 0 1240 4 4 4 0 0 0 0 0 2 1 0 38 0 0 1 2 2 1 1 0 1
137 3 27 3 0 1 0 0 0 0 8613 3 2 2 0 1 0 0 0 2 0 0 27 0 0 1 2 2 1 0 0 1
138 1 12 2 0 0 0 1 0 0 766 2 2 4 0 1 0 0 0 3 1 0 66 0 0 1 1 1 1 0 0 0
139 1 15 4 0 0 0 1 0 0 2728 4 3 4 0 1 0 0 1 2 1 0 35 1 0 1 3 2 1 1 0 1
140 2 12 2 0 0 0 1 0 0 1881 0 2 2 0 0 0 0 0 2 0 0 44 0 1 0 1 1 1 1 0 1
141 2 6 2 1 0 0 0 0 0 709 3 1 2 0 0 1 0 0 2 1 0 27 0 0 1 1 0 1 0 1 1
142 1 36 2 0 0 0 1 0 0 4795 0 1 4 0 0 0 0 0 1 0 1 30 0 0 1 1 3 1 1 0 1
143 0 27 2 0 0 0 1 0 0 3416 0 2 3 0 1 0 0 0 2 0 0 27 0 0 1 1 3 1 0 0 1
144 0 18 2 0 0 1 0 0 0 2462 0 2 2 0 1 0 0 0 2 0 0 22 0 0 1 1 2 1 0 0 0
145 3 21 4 0 0 1 0 0 0 2288 0 1 4 0 0 0 0 0 4 0 0 23 0 0 1 1 2 1 1 0 1
146 1 48 1 0 0 0 0 0 1 3566 1 3 4 0 1 0 0 0 2 0 0 30 0 0 1 1 2 1 0 0 1
147 0 6 4 1 0 0 0 0 0 860 0 4 1 0 0 0 0 0 4 0 1 39 0 0 1 2 2 1 1 0 1
148 3 12 4 1 0 0 0 0 0 682 1 3 4 0 0 0 0 0 3 0 0 51 0 0 1 2 2 1 1 0 1
149 0 36 4 0 0 1 0 0 0 5371 0 2 3 0 1 0 0 1 2 0 0 28 0 0 1 2 2 1 0 0 1
150 3 18 4 0 0 0 1 0 0 1582 3 4 4 0 1 0 0 0 4 0 0 46 0 0 1 2 2 1 0 0 1
151 3 6 2 0 0 0 1 0 0 1346 1 4 2 0 1 0 0 0 4 0 1 42 1 0 0 1 2 2 1 0 1
152 3 10 2 0 0 0 1 0 0 1924 0 2 1 0 1 0 0 0 4 0 0 38 0 0 1 1 2 1 1 1 1
153 2 36 2 0 0 0 1 0 0 5848 0 2 4 0 1 0 0 0 1 0 0 24 0 0 1 1 2 1 0 0 1
154 1 24 4 0 1 0 0 0 0 7758 3 4 2 0 0 0 0 0 4 0 1 29 0 1 0 1 2 1 0 0 1
155 1 24 3 0 0 0 0 0 1 6967 1 3 4 0 1 0 0 0 4 0 0 36 0 1 0 1 3 1 1 0 1
156 0 12 2 0 0 1 0 0 0 1282 0 2 2 0 0 0 0 0 4 0 0 20 0 1 0 1 2 1 0 0 0
157 0 9 4 0 0 0 0 0 0 1288 1 4 3 0 1 0 0 1 4 1 0 48 0 0 1 2 2 2 0 1 1
158 0 12 1 0 0 0 0 0 0 339 0 4 4 0 0 1 0 0 1 0 0 45 1 0 1 1 1 1 0 0 1
159 1 24 2 1 0 0 0 0 0 3512 1 3 2 0 1 0 0 0 3 0 0 38 1 0 1 2 2 1 1 0 1
160 3 6 4 0 0 0 1 0 0 1898 4 2 1 0 1 0 0 0 2 1 0 34 0 0 1 2 1 2 0 0 1
161 3 24 4 0 0 0 1 0 0 2872 1 4 3 0 1 0 0 0 4 1 0 36 0 0 1 1 2 2 1 0 1
162 3 18 4 1 0 0 0 0 0 1055 0 1 4 0 0 0 0 0 1 0 0 30 0 0 1 2 2 1 0 0 1
163 3 15 2 0 0 0 0 0 0 1262 2 3 4 0 1 0 0 0 3 0 0 36 0 0 1 2 2 1 1 0 1
164 1 10 2 1 0 0 0 0 0 7308 0 0 2 0 1 0 0 0 4 0 1 70 1 0 0 1 3 1 1 0 1
165 3 36 2 1 0 0 0 0 0 909 2 4 4 0 1 0 0 0 4 0 0 36 0 0 1 1 2 1 0 0 1
166 3 6 2 0 0 1 0 0 0 2978 2 2 1 0 1 0 0 0 2 0 0 32 0 0 1 1 2 1 1 0 1
167 0 18 2 0 0 1 0 0 0 1131 0 0 4 0 0 0 0 0 2 0 0 33 0 0 1 1 2 1 0 0 0
168 1 11 2 0 0 1 0 0 0 1577 3 1 4 0 0 0 0 0 1 1 0 20 0 0 1 1 2 1 0 0 1
169 3 24 2 0 0 1 0 0 0 3972 0 3 2 0 0 0 0 0 4 0 0 25 0 1 0 1 2 1 1 0 1
170 1 24 4 0 0 0 0 0 1 1935 0 4 4 1 0 0 0 0 4 1 0 31 0 0 1 2 2 1 1 0 0
171 0 15 0 1 0 0 0 0 0 950 0 4 4 0 1 0 0 0 3 0 0 33 0 1 0 2 2 2 0 0 0
172 3 12 2 0 0 1 0 0 0 763 0 2 4 0 0 0 0 0 1 1 0 26 0 0 1 1 2 1 1 0 1
173 1 24 3 0 0 1 0 0 0 2064 0 0 3 0 0 0 0 0 2 0 0 34 0 0 1 1 3 1 1 0 0
174 1 8 2 0 0 0 1 0 0 1414 0 2 4 0 1 0 0 1 2 1 0 33 0 0 1 1 2 1 0 1 1
175 0 21 3 0 0 0 0 1 0 3414 0 1 2 0 1 0 0 0 1 0 0 26 0 0 1 2 2 1 0 0 0
176 3 30 1 0 1 0 0 0 0 7485 4 0 4 0 0 0 0 0 1 1 0 53 1 0 1 1 3 1 1 0 0
177 0 12 2 0 0 1 0 0 0 2577 0 2 2 1 0 0 0 0 1 0 0 42 0 0 1 1 2 1 0 0 1
178 0 6 4 0 0 0 1 0 0 338 2 4 4 0 1 0 0 0 4 0 0 52 0 0 1 2 2 1 0 0 1
179 3 12 2 0 0 0 1 0 0 1963 0 3 4 0 1 0 0 0 2 0 0 31 0 1 0 2 3 2 1 0 1
180 0 21 4 1 0 0 0 0 0 571 0 4 4 0 1 0 0 0 4 1 0 65 0 0 1 2 2 1 0 0 1
181 3 36 3 0 0 0 0 0 1 9572 0 1 1 1 0 0 0 0 1 0 0 28 0 0 1 2 2 1 0 0 0
182 1 36 3 0 0 0 0 0 1 4455 0 2 2 1 0 0 0 0 2 1 0 30 1 0 1 2 3 1 1 0 0
183 0 21 1 1 0 0 0 0 0 1647 4 2 4 0 1 0 0 0 2 0 0 40 0 0 1 2 1 2 0 0 0
184 3 24 4 0 0 1 0 0 0 3777 3 2 4 0 1 0 0 0 4 1 0 50 0 0 1 1 2 1 1 0 1
185 1 18 4 1 0 0 0 0 0 884 0 4 4 0 1 0 0 0 4 0 0 36 1 0 1 1 2 2 1 0 0
186 3 15 4 0 0 0 1 0 0 1360 0 2 4 0 1 0 0 0 2 0 0 31 0 0 1 2 2 1 0 0 1
187 1 9 1 0 1 0 0 0 0 5129 0 4 2 0 0 0 0 0 4 0 1 74 1 0 0 1 3 2 1 0 0
188 1 16 4 1 0 0 0 0 0 1175 0 0 2 0 1 0 0 0 3 0 0 68 0 0 0 3 0 1 1 0 1
189 0 12 2 0 0 0 1 0 0 674 1 3 4 0 0 1 0 0 1 0 0 20 0 0 1 1 2 1 0 0 0
190 1 18 0 0 0 1 0 0 0 3244 0 2 1 0 0 0 0 0 4 0 0 33 1 0 1 2 2 1 1 0 1
191 3 24 2 0 0 0 0 0 1 4591 3 2 2 0 1 0 0 0 3 0 0 54 0 0 1 3 3 1 1 0 0
192 1 48 0 0 0 0 0 0 1 3844 1 3 4 0 1 0 0 0 4 0 1 34 0 0 0 1 1 2 0 0 0
193 1 27 2 0 0 0 0 0 1 3915 0 2 4 0 1 0 0 0 2 0 0 36 0 0 1 1 2 2 1 0 0
194 3 6 2 0 0 0 1 0 0 2108 0 3 2 0 0 1 0 0 2 1 0 29 0 1 0 1 2 1 0 0 1
195 1 45 2 0 0 0 1 0 0 3031 1 2 4 0 1 0 0 1 4 0 0 21 0 1 0 1 2 1 0 0 0
196 1 9 4 0 0 0 0 1 0 1501 0 4 2 0 0 0 0 0 3 0 0 34 0 0 1 2 3 1 1 0 0
197 3 6 4 0 0 0 1 0 0 1382 0 2 1 0 0 0 0 0 1 0 0 28 0 0 1 2 2 1 1 0 1
198 1 12 2 0 0 1 0 0 0 951 1 1 4 0 0 0 0 0 4 0 0 27 1 1 0 4 2 1 0 0 0
199 1 24 2 0 1 0 0 0 0 2760 4 4 4 0 1 0 0 0 4 0 1 36 1 0 0 1 2 1 1 0 1
200 1 18 3 0 0 1 0 0 0 4297 0 4 4 1 0 0 0 0 3 0 1 40 0 0 1 1 3 1 1 0 0
201 3 9 4 0 0 0 0 1 0 936 2 4 4 0 1 0 0 0 2 0 0 52 0 0 1 2 2 1 1 0 1
202 0 12 2 1 0 0 0 0 0 1168 0 2 4 0 0 1 0 0 3 1 0 27 0 0 1 1 1 1 0 0 1
203 3 27 3 0 0 0 0 0 1 5117 0 3 3 0 1 0 0 0 4 0 0 26 0 0 1 2 2 1 0 0 1
204 0 12 2 0 0 0 0 0 0 902 0 3 4 0 0 1 0 0 4 0 0 21 0 1 0 1 2 1 0 0 0
205 3 12 4 1 0 0 0 0 0 1495 0 4 4 0 1 0 0 0 1 1 0 38 0 0 1 2 1 2 0 0 1
206 0 30 4 0 1 0 0 0 0 10623 0 4 3 0 1 0 0 0 4 0 1 38 0 0 0 3 3 2 1 0 1
207 3 12 4 0 0 1 0 0 0 1935 0 4 4 0 1 0 0 0 4 1 0 43 0 0 1 3 2 1 1 0 1
208 1 12 4 0 0 0 0 0 0 1424 0 3 4 0 1 0 0 0 3 0 0 26 0 0 1 1 2 1 0 0 1
209 0 24 2 0 0 0 0 0 1 6568 0 2 2 0 0 1 0 0 2 0 0 21 1 0 1 1 1 1 0 0 1
210 3 12 2 0 1 0 0 0 0 1413 3 3 3 0 1 0 0 0 2 0 0 55 0 0 1 1 2 1 0 1 1
211 3 9 4 0 0 0 1 0 0 3074 4 2 1 0 1 0 0 0 2 1 0 33 0 0 1 2 2 2 0 0 1
212 3 36 2 0 0 0 1 0 0 3835 4 4 2 0 0 0 0 0 4 1 0 45 0 0 1 1 1 1 1 0 1
213 0 27 0 0 0 0 0 0 1 5293 0 0 2 0 1 0 0 0 4 0 0 50 1 0 1 2 2 1 1 0 0
214 2 30 3 0 0 0 0 0 1 1908 0 4 4 0 1 0 0 0 4 1 0 66 0 0 1 1 3 1 1 0 0
215 3 36 4 0 0 0 1 0 0 3342 4 4 4 0 1 0 0 0 2 0 0 51 0 0 1 1 2 1 1 0 1
216 1 6 4 0 0 0 0 0 0 932 4 3 1 0 0 0 0 0 3 0 0 39 0 0 1 2 1 1 0 0 1
217 0 18 0 0 0 0 0 0 1 3104 0 3 3 0 1 0 0 0 1 0 0 31 1 0 1 1 2 1 1 0 1
218 2 36 2 0 0 0 1 0 0 3913 0 2 2 0 1 0 0 0 2 1 0 23 0 0 1 1 2 1 1 0 1
219 0 24 2 0 0 1 0 0 0 3021 0 2 2 1 0 0 0 0 2 1 0 24 0 1 0 1 1 1 0 0 1
220 3 10 2 1 0 0 0 0 0 1364 0 2 2 0 0 0 0 0 4 0 0 64 0 0 1 1 2 1 1 0 1
221 1 12 2 0 0 0 1 0 0 625 0 1 4 0 0 1 0 1 1 1 0 26 1 0 1 1 1 1 0 0 1
222 0 12 2 0 0 0 0 1 0 1200 4 2 4 0 0 0 0 0 4 0 0 23 1 1 0 1 2 1 1 0 1
223 3 12 2 0 0 0 1 0 0 707 0 2 4 0 1 0 0 0 2 1 0 30 1 0 1 2 2 1 0 0 1
224 3 24 3 0 0 0 0 0 1 2978 4 2 4 0 1 0 0 0 4 1 0 32 0 0 1 2 2 2 1 0 1
225 3 15 2 0 1 0 0 0 0 4657 0 2 3 0 1 0 0 0 2 0 0 30 0 0 1 1 2 1 1 0 1
226 3 36 0 0 0 0 0 0 0 2613 0 2 4 0 1 0 0 0 2 0 0 27 0 0 1 2 2 1 0 0 1
227 1 48 2 0 0 0 1 0 0 10961 3 3 1 0 1 0 1 0 2 0 1 27 1 0 1 2 2 1 1 0 0
228 0 12 2 0 0 1 0 0 0 7865 0 4 4 0 1 0 0 0 4 0 1 53 0 0 0 1 3 1 1 0 0
229 3 9 2 0 0 0 1 0 0 1478 0 3 4 0 1 0 0 0 2 0 0 22 0 0 1 1 2 1 0 0 0
230 0 24 2 0 0 1 0 0 0 3149 0 1 4 0 1 0 0 0 1 0 1 22 1 0 0 1 2 1 0 0 1
231 2 36 2 0 0 0 1 0 0 4210 0 2 4 0 1 0 0 0 2 0 0 26 0 0 1 1 2 1 0 0 0
232 3 9 2 1 0 0 0 0 0 2507 2 4 2 0 1 0 0 0 4 0 1 51 0 0 0 1 1 1 0 0 1
233 3 12 2 0 0 0 1 0 0 2141 1 3 3 0 1 0 0 0 1 0 1 35 0 0 1 1 2 1 0 0 1
234 1 18 2 0 0 0 1 0 0 866 0 2 4 0 0 1 0 1 2 1 0 25 0 0 1 1 1 1 0 0 1
235 3 4 4 0 0 0 1 0 0 1544 0 3 2 0 1 0 0 0 1 1 0 42 0 0 1 3 1 2 0 0 1
236 0 24 2 0 0 0 1 0 0 1823 0 0 4 0 1 0 0 0 2 0 0 30 1 0 1 1 3 2 0 0 0
237 1 6 2 1 0 0 0 0 0 14555 4 0 1 0 1 0 0 0 2 0 0 23 0 0 1 1 0 1 1 0 0
238 1 21 2 0 0 0 0 0 1 2767 1 4 4 1 0 0 0 0 2 0 0 61 1 1 0 2 1 1 0 0 0
239 3 12 4 0 0 0 1 0 0 1291 0 2 4 0 0 0 0 0 2 0 0 35 0 0 1 2 2 1 0 0 1
240 0 30 2 0 0 0 1 0 0 2522 0 4 1 0 1 0 0 1 3 0 0 39 0 0 1 1 2 2 0 0 1
241 0 24 2 1 0 0 0 0 0 915 4 4 4 0 0 0 0 0 2 0 0 29 1 0 1 1 2 1 0 0 0
242 3 6 2 0 0 0 1 0 0 1595 0 3 3 0 1 0 0 0 2 0 0 51 0 0 1 1 2 2 0 0 1
243 0 48 0 0 1 0 0 0 0 4605 0 4 3 0 1 0 0 0 4 0 1 24 0 0 0 2 2 2 0 0 0
244 3 12 4 0 0 0 0 0 1 1185 0 2 3 0 0 0 0 0 2 1 0 27 0 0 1 2 2 1 0 0 1
245 3 12 1 0 0 0 0 0 0 3447 2 2 4 0 0 0 0 0 3 1 0 35 0 0 1 1 1 2 0 0 1
246 3 24 2 0 0 0 0 0 1 1258 0 3 4 0 1 0 0 0 1 1 0 25 0 0 1 1 2 1 1 0 1
247 3 12 4 0 0 0 1 0 0 717 0 4 4 0 1 0 0 0 4 1 0 52 0 0 1 3 2 1 0 0 1
248 3 6 0 1 0 0 0 0 0 1204 1 2 4 0 1 0 0 0 1 0 1 35 1 1 0 1 2 1 0 1 1
249 2 24 2 0 0 1 0 0 0 1925 0 2 2 0 1 0 0 0 2 1 0 26 0 0 1 1 2 1 0 0 1
250 3 18 2 0 0 0 1 0 0 433 0 0 3 0 0 0 1 0 4 1 0 22 0 1 0 1 2 1 0 0 0
251 0 6 4 1 0 0 0 0 0 666 3 3 3 0 0 0 0 0 4 1 0 39 0 0 1 2 1 1 1 0 1
252 2 12 2 0 0 1 0 0 0 2251 0 2 1 0 0 0 0 0 2 0 0 46 0 0 1 1 1 1 0 0 1
253 1 30 2 1 0 0 0 0 0 2150 0 2 4 0 0 0 0 1 2 0 1 24 1 0 1 1 2 1 0 0 0
254 3 24 3 0 0 1 0 0 0 4151 1 2 2 0 1 0 0 0 3 0 0 35 0 0 1 2 2 1 0 0 1
255 1 9 2 0 0 1 0 0 0 2030 4 3 2 0 1 0 0 0 1 0 0 24 0 0 1 1 2 1 1 0 1
256 1 60 3 0 0 0 1 0 0 7418 4 2 1 0 1 0 0 0 1 1 0 27 0 0 1 1 1 1 0 0 1
257 3 24 4 0 0 0 1 0 0 2684 0 2 4 0 1 0 0 0 2 1 0 35 0 0 1 2 1 1 0 0 1
258 0 12 1 0 0 0 1 0 0 2149 0 2 4 1 0 0 0 0 1 0 1 29 0 0 0 1 2 1 0 0 0
259 3 15 2 0 1 0 0 0 0 3812 1 1 1 0 0 0 0 0 4 0 0 23 0 0 1 1 2 1 1 0 1
260 3 11 4 0 0 0 1 0 0 1154 1 0 4 0 0 0 0 0 4 1 0 57 0 0 1 3 1 1 0 0 1
261 0 12 2 0 0 1 0 0 0 1657 0 2 2 0 1 0 0 0 2 1 0 27 0 0 1 1 2 1 0 0 1
262 0 24 2 0 0 0 1 0 0 1603 0 4 4 0 0 0 0 0 4 0 0 55 0 0 1 1 2 1 0 0 1
263 0 18 4 1 0 0 0 0 0 5302 0 4 2 0 1 0 0 0 4 0 1 36 0 0 0 3 3 1 1 0 1
264 3 12 4 0 0 0 0 1 0 2748 0 4 2 0 0 0 0 0 4 0 1 57 1 0 0 3 1 1 0 0 1
265 3 10 4 1 0 0 0 0 0 1231 0 4 3 0 1 0 0 0 4 1 0 32 0 0 1 2 1 2 0 1 1
266 1 15 2 0 0 0 1 0 0 802 0 4 4 0 1 0 0 0 3 0 0 37 0 0 1 1 2 2 0 0 0
267 3 36 4 0 0 0 0 0 1 6304 4 4 4 0 1 0 0 0 4 1 0 36 0 0 1 2 2 1 0 0 1
268 3 24 2 0 0 0 1 0 0 1533 0 1 4 0 0 0 0 0 3 0 0 38 1 0 1 1 2 1 1 0 1
269 0 14 2 1 0 0 0 0 0 8978 0 4 1 1 0 0 0 0 4 0 0 45 0 0 1 1 3 1 1 1 0
270 3 24 2 0 0 0 1 0 0 999 4 4 4 0 1 0 0 0 2 0 0 25 0 0 1 2 2 1 0 0 1
271 3 18 2 1 0 0 0 0 0 2662 4 3 4 0 1 0 0 0 3 0 0 32 0 0 1 1 2 1 0 1 1
272 3 12 4 0 0 1 0 0 0 1402 2 3 3 0 0 0 0 0 4 0 0 37 0 1 0 1 2 1 1 0 1
273 1 48 1 1 0 0 0 0 0 12169 4 0 4 0 1 0 1 0 4 0 1 36 0 0 0 1 3 1 1 0 1
274 1 48 2 0 0 0 1 0 0 3060 0 3 4 0 1 0 0 0 4 1 0 28 0 0 1 2 2 1 0 0 0
275 0 30 2 0 0 0 0 0 0 11998 0 1 1 1 0 0 0 0 1 0 1 34 0 0 1 1 1 1 1 0 0
276 3 9 2 0 0 0 1 0 0 2697 0 2 1 0 1 0 0 0 2 1 0 32 0 0 1 1 2 2 0 0 1
277 3 18 4 0 0 0 1 0 0 2404 0 2 2 0 0 0 0 0 2 0 0 26 0 0 1 2 2 1 0 0 1
278 0 12 2 0 0 1 0 0 0 1262 4 4 2 1 0 0 0 0 4 0 0 49 0 0 1 1 1 1 1 0 1
279 3 6 2 0 0 1 0 0 0 4611 0 1 1 0 0 0 0 0 4 0 0 32 0 0 1 1 2 1 0 0 0
280 3 24 2 0 0 0 1 0 0 1901 1 2 4 0 1 0 0 0 4 0 0 29 0 1 0 1 3 1 1 0 1
281 3 15 4 0 1 0 0 0 0 3368 3 4 3 0 1 0 0 0 4 0 1 23 0 1 0 2 2 1 1 0 1
282 3 12 2 0 0 1 0 0 0 1574 0 2 4 0 1 0 0 0 2 1 0 50 0 0 1 1 2 1 0 0 1
283 2 18 1 0 0 0 1 0 0 1445 4 3 4 0 1 0 0 0 4 0 0 49 1 0 1 1 1 1 0 0 1
284 3 15 4 0 0 1 0 0 0 1520 4 4 4 0 1 0 0 0 4 0 0 63 0 0 1 1 2 1 0 0 1
285 1 24 4 1 0 0 0 0 0 3878 1 1 4 1 0 0 0 0 2 0 0 37 0 0 1 1 2 1 1 0 1
286 0 47 2 1 0 0 0 0 0 10722 0 1 1 0 0 0 0 0 1 1 0 35 0 0 1 1 1 1 1 0 1
287 0 48 2 0 1 0 0 0 0 4788 0 3 4 0 1 0 0 0 3 0 0 26 0 0 1 1 2 2 0 0 1
288 1 48 3 0 0 0 0 0 0 7582 1 0 2 0 1 0 0 0 4 0 1 31 0 0 0 1 3 1 1 0 1
289 1 12 2 0 0 0 1 0 0 1092 0 2 4 0 0 0 0 1 4 1 0 49 0 0 1 2 2 1 1 0 1
290 0 24 3 0 0 0 1 0 0 1024 0 1 4 0 0 1 0 0 4 1 0 48 1 0 1 1 2 1 0 0 0
291 3 12 2 0 0 0 0 0 1 1076 0 2 2 0 0 1 0 0 2 1 0 26 0 0 1 1 2 1 1 1 1
292 1 36 2 0 1 0 0 0 0 9398 0 1 1 0 0 1 0 0 4 0 0 28 0 1 0 1 3 1 1 0 0
293 0 24 4 0 1 0 0 0 0 6419 0 4 2 0 0 0 0 0 4 0 1 44 0 0 0 2 3 2 1 0 1
294 2 42 4 0 1 0 0 0 0 4796 0 4 4 0 1 0 0 0 4 0 1 56 0 0 0 1 2 1 0 0 1
295 3 48 4 0 0 0 0 0 1 7629 4 4 4 1 0 0 0 0 2 0 0 46 1 0 1 2 3 2 0 0 1
296 1 48 2 0 0 1 0 0 0 9960 0 1 1 0 0 0 0 0 2 0 0 26 0 0 1 1 2 1 1 0 0
297 3 12 2 0 1 0 0 0 0 4675 4 1 1 0 0 0 0 0 4 0 0 20 0 1 0 1 2 1 0 0 1
298 3 10 2 1 0 0 0 0 0 1287 4 4 4 0 1 0 1 0 2 0 0 45 0 0 1 1 1 1 0 1 1
299 3 18 2 0 0 1 0 0 0 2515 0 2 3 0 1 0 0 0 4 1 0 43 0 0 1 1 2 1 1 0 1
300 1 21 4 0 0 1 0 0 0 2745 3 3 3 0 1 0 0 0 2 0 0 32 0 0 1 2 2 1 1 0 1
301 3 6 2 1 0 0 0 0 0 672 0 0 1 0 0 0 0 0 4 1 0 54 0 0 1 1 0 1 1 0 1
302 1 36 0 0 0 0 1 0 0 3804 0 2 4 0 0 0 0 0 1 0 0 42 0 0 1 1 2 1 1 0 0
303 2 24 4 1 0 0 0 0 0 1344 4 3 4 0 1 0 0 0 2 1 0 37 1 0 1 2 1 2 0 0 0
304 0 10 4 1 0 0 0 0 0 1038 0 3 4 0 1 0 1 0 3 0 0 49 0 0 1 2 2 1 1 0 1
305 3 48 4 1 0 0 0 0 0 10127 2 2 2 0 1 0 0 0 2 0 1 44 1 0 0 1 2 1 0 0 0
306 3 6 2 0 0 1 0 0 0 1543 3 2 4 1 0 0 0 0 2 1 0 33 0 0 1 1 2 1 0 0 1
307 3 30 2 0 1 0 0 0 0 4811 4 3 2 0 0 0 0 0 4 0 0 24 1 1 0 1 1 1 0 0 1
308 0 12 2 0 0 0 1 0 0 727 1 1 4 0 0 1 0 0 3 0 1 33 0 0 1 1 1 1 1 0 0
309 1 8 2 0 0 1 0 0 0 1237 0 2 3 0 0 0 0 0 4 1 0 24 0 0 1 1 2 1 0 0 0
310 1 9 2 1 0 0 0 0 0 276 0 2 4 0 0 1 0 0 4 1 0 22 0 1 0 1 1 1 0 0 1
311 1 48 2 0 0 0 0 0 0 5381 4 0 3 0 1 0 0 0 4 0 1 40 1 0 0 1 0 1 1 0 1
312 3 24 2 0 0 1 0 0 0 5511 1 2 4 0 1 0 0 0 1 0 0 25 1 0 1 1 2 1 0 0 1
313 2 24 2 0 0 1 0 0 0 3749 0 1 2 0 0 0 0 0 4 0 0 26 0 0 1 1 2 1 0 0 1
314 1 12 2 1 0 0 0 0 0 685 0 3 2 0 0 1 0 0 3 0 0 25 1 0 1 1 1 1 0 0 0
315 2 4 2 1 0 0 0 0 0 1494 4 1 1 0 1 0 0 0 2 1 0 29 0 0 1 1 1 2 0 1 1
316 0 36 1 0 0 1 0 0 0 2746 0 4 4 0 1 0 0 0 4 0 0 31 1 0 1 1 2 1 0 0 0
317 0 12 2 0 0 1 0 0 0 708 0 2 2 0 1 0 0 1 3 0 0 38 0 0 1 1 1 2 0 0 1
318 1 24 2 0 0 1 0 0 0 4351 4 2 1 0 0 0 0 0 4 0 0 48 0 0 1 1 1 1 1 0 1
319 3 12 4 0 0 0 0 1 0 701 0 2 4 0 1 0 0 0 2 0 0 32 0 0 1 2 2 1 0 0 1
320 0 15 3 0 0 1 0 0 0 3643 0 4 1 0 0 0 0 0 4 0 0 27 0 0 1 2 1 1 0 0 1
321 1 30 4 1 0 0 0 0 0 4249 0 0 4 0 0 1 0 0 2 0 0 28 0 0 1 2 3 1 0 0 0
322 0 24 2 0 0 0 1 0 0 1938 0 1 4 1 0 0 0 0 3 0 0 32 0 0 1 1 2 1 0 0 0
323 0 24 2 0 1 0 0 0 0 2910 0 3 2 0 1 0 0 0 1 0 1 34 0 0 0 1 3 1 1 0 1
324 0 18 2 0 0 1 0 0 0 2659 3 2 4 0 1 0 0 0 2 0 0 28 0 0 1 1 2 1 0 0 1
325 3 18 4 1 0 0 0 0 0 1028 0 2 4 0 0 0 0 0 3 1 0 36 0 0 1 2 2 1 0 0 1
326 0 8 4 1 0 0 0 0 0 3398 0 3 1 0 1 0 0 0 4 1 0 39 0 0 1 2 1 1 0 1 1
327 3 12 4 0 0 1 0 0 0 5801 4 4 2 0 1 0 0 0 4 0 0 49 0 1 0 1 2 1 1 0 1
328 3 24 2 1 0 0 0 0 0 1525 3 3 4 0 0 0 0 0 3 0 0 34 0 0 1 1 2 2 1 0 1
329 2 36 2 0 0 0 1 0 0 4473 0 4 4 0 1 0 0 0 2 0 0 31 0 0 1 1 2 1 0 0 1
330 1 6 2 0 0 0 1 0 0 1068 0 4 4 0 1 0 0 0 4 0 0 28 0 0 1 1 2 2 0 0 1
331 0 24 4 0 1 0 0 0 0 6615 0 0 2 0 1 0 0 0 4 0 1 75 0 0 0 2 3 1 1 0 1
332 3 18 4 0 0 0 0 1 0 1864 1 2 4 0 0 0 0 0 2 1 0 30 0 0 1 2 2 1 0 0 0
333 1 60 2 1 0 0 0 0 0 7408 1 1 4 0 0 0 0 0 2 0 0 24 0 0 1 1 3 1 0 0 0
334 3 48 4 0 1 0 0 0 0 11590 1 2 2 0 0 0 0 0 4 0 0 24 1 1 0 2 1 1 0 0 0
335 0 24 0 0 0 1 0 0 0 4110 0 4 3 0 1 0 0 0 4 0 1 23 1 1 0 2 2 2 0 0 0
336 0 6 4 0 0 1 0 0 0 3384 0 2 1 1 0 0 0 0 4 1 0 44 0 1 0 1 3 1 1 0 0
337 1 13 2 0 0 0 1 0 0 2101 0 1 2 0 0 0 0 1 4 0 0 23 0 0 1 1 1 1 0 0 1
338 0 15 2 0 0 0 0 0 0 1275 4 2 4 0 0 0 0 0 2 0 0 24 0 1 0 1 2 1 0 0 0
339 0 24 2 0 0 1 0 0 0 4169 0 2 4 0 1 0 0 0 4 0 0 28 0 0 1 1 2 1 0 0 1
340 1 10 2 0 0 1 0 0 0 1521 0 2 4 1 0 0 0 0 2 0 0 31 0 0 1 1 1 1 0 0 1
341 1 24 4 0 0 0 0 1 0 5743 0 1 2 0 0 0 0 0 4 0 1 24 0 0 0 2 2 1 1 0 1
342 0 21 2 0 0 1 0 0 0 3599 0 3 1 0 0 0 0 0 4 0 0 26 0 1 0 1 1 1 0 0 1
343 1 18 2 0 0 0 1 0 0 3213 2 1 1 0 0 1 0 0 3 1 0 25 0 1 0 1 2 1 0 0 1
344 1 18 2 0 0 0 0 0 1 4439 0 4 1 0 1 0 1 0 1 1 0 33 1 0 1 1 3 1 1 0 1
345 2 10 2 1 0 0 0 0 0 3949 0 1 1 0 1 0 0 1 1 0 0 37 0 0 1 1 1 2 0 0 1
346 3 15 4 0 0 0 1 0 0 1459 0 2 4 0 0 0 0 0 2 0 0 43 0 0 1 1 1 1 0 0 1
347 1 13 4 0 0 0 1 0 0 882 0 1 4 0 1 0 0 1 4 1 0 23 0 0 1 2 2 1 0 0 1
348 1 24 2 0 0 0 1 0 0 3758 2 0 1 0 0 0 0 0 4 0 1 23 0 1 0 1 0 1 0 0 1
349 3 6 3 0 0 0 0 0 1 1743 1 2 1 0 1 0 0 0 2 1 0 34 0 0 1 2 1 1 0 0 1
350 1 9 4 0 0 0 0 1 0 1136 3 4 4 0 1 0 0 0 3 0 1 32 0 0 0 2 2 2 0 0 0
351 3 9 2 0 0 0 0 0 0 1236 0 1 1 0 0 0 0 0 4 1 0 23 0 1 0 1 2 1 1 0 1
352 1 9 2 0 0 1 0 0 0 959 0 2 1 0 0 0 0 0 2 0 0 29 0 0 1 1 2 1 0 1 0
353 3 18 4 0 1 0 0 0 0 3229 4 0 2 0 1 0 0 0 4 0 1 38 0 0 1 1 3 1 1 0 1
354 0 12 0 0 0 0 1 0 0 6199 0 2 4 0 1 0 0 0 2 0 0 28 0 1 0 2 2 1 1 0 0
355 3 10 2 0 0 0 0 1 0 727 2 4 4 0 1 0 0 0 4 0 1 46 0 0 0 1 2 1 1 0 1
356 1 24 2 1 0 0 0 0 0 1246 0 1 4 0 1 0 0 0 2 1 0 23 1 0 1 1 1 1 0 0 0
357 3 12 4 0 0 0 1 0 0 2331 4 4 1 0 1 0 1 0 4 1 0 49 0 0 1 1 2 1 1 0 1
358 3 36 3 0 0 0 1 0 0 4463 0 2 4 0 1 0 0 0 2 0 0 26 0 0 1 2 3 1 1 0 0
359 3 12 2 0 0 0 1 0 0 776 0 2 4 0 0 1 0 0 2 1 0 28 0 0 1 1 2 1 0 0 1
360 0 30 2 0 0 1 0 0 0 2406 0 3 4 0 0 0 0 0 4 1 0 23 0 1 0 1 2 1 0 0 0
361 1 18 2 0 0 0 0 1 0 1239 4 2 4 0 1 0 0 0 4 0 1 61 0 0 0 1 2 1 0 0 1
362 2 12 2 0 0 0 1 0 0 3399 4 4 2 0 1 0 0 0 3 0 0 37 0 0 1 1 3 1 0 0 1
363 2 12 3 1 0 0 0 0 0 2247 0 2 2 0 0 0 0 0 2 0 0 36 1 0 1 2 2 1 1 0 1
364 3 6 2 0 0 1 0 0 0 1766 0 2 1 0 0 1 0 0 2 0 0 21 0 1 0 1 2 1 0 0 1
365 0 18 2 0 0 1 0 0 0 2473 0 0 4 0 1 0 0 0 1 0 0 25 0 0 1 1 0 1 0 0 0
366 3 12 2 0 0 0 0 0 1 1542 0 3 2 0 1 0 0 0 4 0 0 36 0 0 1 1 2 1 1 0 1
367 3 18 4 0 1 0 0 0 0 3850 0 3 3 0 1 0 0 0 1 0 0 27 0 0 1 2 2 1 0 0 1
368 0 18 2 0 0 1 0 0 0 3650 0 1 1 0 0 0 0 0 4 0 0 22 0 1 0 1 2 1 0 0 1
369 0 36 2 0 0 1 0 0 0 3446 0 4

GERMAN CREDIT

GermanCredit.xls is the dataset for this case study.

Background

Money-lending has been around since the advent of money; it is perhaps the world’s second-oldest profession. The systematic evaluation of credit risk, though, is a relatively recent arrival, and lending was largely based on reputation and very incomplete data. Thomas Jefferson, the third President of the United States, was in debt throughout his life and unreliable in his debt payments, yet people continued to lend him money. It wasn’t until the beginning of the 20th century that the Retail Credit Company was founded to share information about credit. That company is now Equifax, one of the big three credit-scoring agencies (the other two are Transunion and Experian).

Individual and local human judgment are now largely irrelevant to the credit-reporting process. Credit agencies and other big financial institutions extending credit at the retail level collect huge amounts of data to predict whether defaults or other adverse events will occur, based on numerous customer and transaction information.

Data

This case deals with an early stage of the historical transition to predictive modeling, in which humans were employed to label records as either good or poor credit. The German Credit dataset has 30 variables and 1000 records, each record being a prior applicant for credit. Each applicant was rated as “good credit” (700 cases) or “bad credit” (300 cases). Figure 21.1 shows the values of these variables for the first four records. All the variables are explained in 
Table

21.6. New applicants for credit can also be evaluated on these 30 predictor variables and classified as a good or a bad credit risk based on the predictor variables.

The consequences of misclassification have been assessed as follows: The costs of a false positive (incorrectly saying that an applicant is a good credit risk) outweigh the benefits of a true positive (correctly saying that an applicant is a good credit risk) by a factor of 5. This is summarized in Table 21.4. The opportunity cost table was derived from the average net profit per loan as shown in Table 21.5.

Because decision makers are used to thinking of their decision in terms of net profits, we use these tables in assessing the performance of the various models.

Assignment

1. Review the predictor variables and guess what their role in a credit decision might be. Are there any surprises in the data?

2. Divide the data into training and validation partitions, and develop classification models using the following data mining techniques in XLMiner: logistic regression and classification trees. Use variants of these techniques as you see fit (e.g. best subset, best pruned tree, etc.). (Note: Depending on the capacity of your computer, Best Subsets may not run quickly, and possibly not at all; if this is the case, choose another selection technique.)

3. Choose one model from each technique and report the confusion matrix and the cost/gain matrix for the validation data. Which technique has the most net profit?

4. Let us try and improve our performance. Rather than accept XLMiner’s initial classification of all applicants’ credit status, use the “predicted probability of success” in logistic regression (where success means 1) as a basis for selecting the best credit risks first, followed by poorer risk applicants.

· Sort the validation on “predicted probability of success.”

· For each case, calculate the net profit of extending credit.

· Add another column for cumulative net profit.

a. How far into the validation data do you go to get maximum net profit? (Often, this is specified as a percentile or rounded to deciles.)

b. If this logistic regression model is scored to future applicants, what “probability of success” cutoff should be used in extending credit?

Get Your Paper Before the Deadline. Our Services are 100% private and Confidential

Useful Links That Will Help You Around

Link to new order   https://studentsolutionsusa.com/orders/stud/new

link to login page   https://studentsolutionsusa.com/orders/login

New user registration link   https://studentsolutionsusa.com/orders/register

Forgot Password https://studentsolutionsusa.com/orders/forgot/password

 

FREQUENTLY ASKED QUESTIONS

Question: How does this work?

Answer: Good Question. We are a group of a freelance board of students and professional essay writers. At our website, you may get help with any type of academic assignments: essay, coursework, term paper, business plan, case study, article review, research paper, presentation, and speech. Top writers can help with complex assignments such as dissertations, thesis papers, etc. All of them are professionals possessing excellent knowledge in their field of expertise, perfect writing skills, quality, and speed. When you place an order on our website, we assign it to the best writer.  Once the writer finishes the work, the paper is submitted to our quality assurance desk who go through it and ensure it is unique and plagiarism free and that the instructions were followed to the detail. After this step we upload the paper in your account, we also send a copy to the email that you used to register the account with. we can guarantee you that the paper will be 100% plagiarism free. Besides, our services are 100% private and confidential

Question: How do I place an Order after getting to the order page

Answer: There are three major steps in the ordering process

Step 1 ....................................................paper details In this step, you will fill in the instructions of your paper; you can upload any materials that you feel will make your assignment a success. Besides, you can also email us at [email protected] Remember to specify the correct academic level. Please note that sources mean the number of references.

Step 2...................................................... Price calculation Kindly specify the number of pages, type of spacing and the correct deadline. This step will give you the estimated cost minus discount -- you may add the extra features if you wish.

Step 3 ....................................................discount and payment Use the discount code HAPPY2018 to enjoy up to 30% discount of your total cost After this step, proceed to safe payment; you can checkout using your card or PayPal Please note we will send the complete paper to the email you will provide while registering. A copy will also be uploaded to your account

 

Question: How will I know when my paper is complete? or How will I get the complete Paper?

Answer: Once we are done with the paper, we will be uploaded to your account. A copy will also be sent to the email you registered with. We can guarantee you the following:- 1. Our service is private and confidential; we don't spam or share your contacts with anyone  2. The final paper will be plagiarism free. We will send a Turnitin Report to the email you registered with 3. At our company, willing to do free unlimited revisions until you are satisfied with your paper

Question:- Am a new client, How can I get the guarantee that the paper will be completed and sent to me before my deadline?

Answer: Thank you for expressing your concerns. We would love to have you as our loyal customer. We are certain if we do good work, you will come back for me. Besides, you will give us referrals to your friends and family. For that reason, we can’t fail to deliver your paper within your specified time frame. We will ensure we submit the paper on time so that you can have enough time to go through it, if you have problems with the paper delivered, you can request a free revision. You are entitled to as many revisions as you would wish until you get a paper that satisfies you

 

Useful Links That Will Help You Around

Link to new order   https://studentsolutionsusa.com/orders/stud/new

link to login page   https://studentsolutionsusa.com/orders/login

New user registration link   https://studentsolutionsusa.com/orders/register

Forgot Password https://studentsolutionsusa.com/orders/forgot/password

 

error: Content is protected !!