kernlab (version 0.9-24)

ticdata: The Insurance Company Data

Description

This data set used in the CoIL 2000 Challenge contains information on customers of an insurance company. The data consists of 86 variables and includes product usage data and socio-demographic data derived from zip area codes. The data was collected to answer the following question: Can you predict who would be interested in buying a caravan insurance policy and give an explanation why ?

Usage

data(ticdata)

Format

ticdata: Dataset to train and validate prediction models and build a description (9822 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. Data Format

	1	STYPE
Customer Subtype		2
MAANTHUI	Number of houses 1 - 10
3	MGEMOMV	Avg size household 1 - 6
	4	MGEMLEEF
Average age		5
MOSHOOFD	Customer main type
6	MGODRK	Roman catholic
	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 <="" td="">
42	MINKGEM	Average income
	43	MKOOPKLA
Purchasing power class		44
PWAPART	Contribution private third party insurance
45	PWABEDR	Contribution third party insurance (firms)
	46	PWALAND
Contribution third party insurance (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 insurance (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

Note: All the variables starting with M are zipcode variables. They give information on the distribution of that variable, e.g., Rented house, in the zipcode area of the customer.

Source

• UCI KDD Archive:http://kdd.ics.uci.edu
• Donor: Sentient Machine Research Peter van der Putten Sentient Machine Research Baarsjesweg 224 1058 AA Amsterdam The Netherlands [phone] [e-mail], [e-mail]

Details

Information about the insurance company customers consists of 86 variables and includes product usage data and socio-demographic data derived from zip area codes. The data was supplied by the Dutch data mining company Sentient Machine Research and is based on a real world business problem. The training set contains over 5000 descriptions of customers, including the information of whether or not they have a caravan insurance policy. The test set contains 4000 customers. The test and data set are merged in the ticdata set. More information about the data set and the CoIL 2000 Challenge along with publications based on the data set can be found at http://www.liacs.nl/~putten/library/cc2000/.

References

Peter van der Putten, Michel de Ruiter, Maarten van Someren CoIL Challenge 2000 Tasks and Results: Predicting and Explaining Caravan Policy Ownership http://www.liacs.nl/~putten/library/cc2000/