The Insurance Company (TIC) Benchmark

Detailed Data Description

 



(c) Sentient Machine Research 2000

DISCLAIMER

This dataset is owned and supplied by the Dutch datamining company Sentient Machine Research, and is based on real world business data. You are allowed to use this dataset and accompanying information for non commercial research and education purposes only. It is explicitly not allowed to use this dataset for commercial education or demonstration purposes. For any other use, please contact Peter van der Putten, info@smr.nl.

This dataset has been used in the CoIL Challenge 2000 datamining competition. For papers describing results on this dataset, see the TIC 2000 homepage: http://www.wi.leidenuniv.nl/~putten/library/cc2000/

REFERENCE

P. van der Putten and M. van Someren (eds). CoIL Challenge 2000: The Insurance Company Case. 
Published by Sentient Machine Research, Amsterdam. Also a Leiden Institute of Advanced Computer Science Technical Report 2000-09. June 22, 2000. 

RELEVANT FILES

TICDATA2000.txt: 
Dataset to train and validate prediction models and build a description (5822 customer records). Each record consists of 86 attributes, containing sociodemographic data (attribute 1-43) and product ownership (attributes 44-86).The sociodemographic data is derived from zip codes. All customers living in areas with the same zip code have the same sociodemographic attributes. Attribute 86, "CARAVAN:Number of mobile home policies", is the target variable. 

TICEVAL2000.txt: 
Dataset for predictions (4000 customer records). It has the same format as TICDATA2000.txt, only the target is missing. Participants are supposed to return the list of predicted targets only. All datasets are in tab delimited format. 
The meaning of the attributes and attribute values is given below.

TICTGTS2000.txt
Targets for the evaluation set.

DATADICTIONARY

Nr Name Description Domain

1 MOSTYPE Customer Subtype see L0

2 MAANTHUI Number of houses 1 10

3 MGEMOMV Avg size household 1 6

4 MGEMLEEF Avg age see L1

5 MOSHOOFD Customer main type see L2

6 MGODRK Roman catholic see L3

7 MGODPR Protestant ...

8 MGODOV Other religion

9 MGODGE No religion

10 MRELGE Married

11 MRELSA Living together

12 MRELOV Other relation

13 MFALLEEN Singles

14 MFGEKIND Household without children

15 MFWEKIND Household with children

16 MOPLHOOG High level education

17 MOPLMIDD Medium level education

18 MOPLLAAG Lower level education

19 MBERHOOG High status

20 MBERZELF Entrepreneur

21 MBERBOER Farmer

22 MBERMIDD Middle management

23 MBERARBG Skilled labourers

24 MBERARBO Unskilled labourers

25 MSKA Social class A

26 MSKB1 Social class B1

27 MSKB2 Social class B2

28 MSKC Social class C

29 MSKD Social class D

30 MHHUUR Rented house

31 MHKOOP Home owners

32 MAUT1 1 car

33 MAUT2 2 cars

34 MAUT0 No car

35 MZFONDS National Health Service

36 MZPART Private health insurance

37 MINKM30 Income < 30.000

38 MINK3045 Income 30-45.000

39 MINK4575 Income 45-75.000

40 MINK7512 Income 75-122.000

41 MINK123M Income >123.000

42 MINKGEM Average income

43 MKOOPKLA Purchasing power class

44 PWAPART Contribution private third party insurance see L4

45 PWABEDR Contribution third party insurance (firms) ...

46 PWALAND Contribution third party insurane (agriculture)

47 PPERSAUT Contribution car policies

48 PBESAUT Contribution delivery van policies

49 PMOTSCO Contribution motorcycle/scooter policies

50 PVRAAUT Contribution lorry policies

51 PAANHANG Contribution trailer policies

52 PTRACTOR Contribution tractor policies

53 PWERKT Contribution agricultural machines policies 

54 PBROM Contribution moped policies

55 PLEVEN Contribution life insurances

56 PPERSONG Contribution private accident insurance policies

57 PGEZONG Contribution family accidents insurance policies

58 PWAOREG Contribution disability insurance policies

59 PBRAND Contribution fire policies

60 PZEILPL Contribution surfboard policies

61 PPLEZIER Contribution boat policies

62 PFIETS Contribution bicycle policies

63 PINBOED Contribution property insurance policies

64 PBYSTAND Contribution social security insurance policies

65 AWAPART Number of private third party insurance 1 - 12

66 AWABEDR Number of third party insurance (firms) ...

67 AWALAND Number of third party insurane (agriculture)

68 APERSAUT Number of car policies

69 ABESAUT Number of delivery van policies

70 AMOTSCO Number of motorcycle/scooter policies

71 AVRAAUT Number of lorry policies

72 AAANHANG Number of trailer policies

73 ATRACTOR Number of tractor policies

74 AWERKT Number of agricultural machines policies

75 ABROM Number of moped policies

76 ALEVEN Number of life insurances

77 APERSONG Number of private accident insurance policies

78 AGEZONG Number of family accidents insurance policies

79 AWAOREG Number of disability insurance policies

80 ABRAND Number of fire policies

81 AZEILPL Number of surfboard policies

82 APLEZIER Number of boat policies

83 AFIETS Number of bicycle policies

84 AINBOED Number of property insurance policies

85 ABYSTAND Number of social security insurance policies

86 CARAVAN Number of mobile home policies 0 - 1

L0:
Value Label
1 1 High Income, expensive child
2 2 Very Important Provincials
3 3 High status seniors
4 4 Affluent senior apartments
5 5 Mixed seniors
6 6 Career and childcare
7 7 Dinki's (double income no kids)
8 8 Middle class families
9 9 Modern, complete families
10 10 Stable family
11 11 Family starters
12 12 Affluent young families
13 13 Young all american family
14 14 Junior cosmopolitan
15 15 Senior cosmopolitans
16 16 Students in apartments
17 17 Fresh masters in the city
18 18 Single youth
19 19 Suburban youth
20 20 Etnically diverse
21 21 Young urban have-nots
22 22 Mixed apartment dwellers
23 23 Young and rising
24 24 Young, low educated 
25 25 Young seniors in the city
26 26 Own home elderly
27 27 Seniors in apartments
28 28 Residential elderly
29 29 Porchless seniors: no front yard
30 30 Religious elderly singles
31 31 Low income catholics
32 32 Mixed seniors
33 33 Lower class large families
34 34 Large family, employed child
35 35 Village families
36 36 Couples with teens 'Married with children'
37 37 Mixed small town dwellers
38 38 Traditional families
39 39 Large religous families
40 40 Large family farms
41 41 Mixed rurals

L1:

1 20-30 years

2 30-40 years

3 40-50 years

4 50-60 years

5 60-70 years

6 70-80 years



L2:

1 Successful hedonists

2 Driven Growers

3 Average Family

4 Career Loners

5 Living well

6 Cruising Seniors

7 Retired and Religeous

8 Family with grown ups

9 Conservative families

10 Farmers



L3:

0 0%

1 1 - 10%

2 11 - 23%

3 24 - 36%

4 37 - 49%

5 50 - 62%

6 63 - 75%

7 76 - 88%

8 89 - 99%

9 100%



L4:

0 f 0

1 f 1 49

2 f 50 99

3 f 100 199

4 f 200 499

5 f 500 999

6 f 1000 4999

7 f 5000 9999

8 f 10.000 - 19.999

9 f 20.000 - ?

Peter van der Putten (putten@liacs.nl; back to the TIC homepage)