A dataset containing information about French motor insurance policies and claims, commonly used for actuarial modeling and risk assessment studies.
This is a "mini" subset of the CASdatasets `freMTPL2freq` data, with some manipulation (see details)
Format
A data frame with 25,000 rows and 8 variables:
- ClaimRate
Number of claims made, at an annualised rate, rounded (integer)
- VehPower
Vehicle power rating or engine horsepower category (integer)
- VehAge
Age of the vehicle in years (integer)
- DrivAge
Age of the driver in years (integer)
- BonusMalus
Bonus-malus coefficient, a rating factor used in French insurance where lower values indicate better driving records (integer)
- VehBrand
Vehicle brand/manufacturer code (factor with levels like B6, B12, etc.)
- VehGas
Type of fuel used by the vehicle (factor with levels: Regular, Diesel)
- Area
Area classification where the policy holder resides (factor with levels A through F)
Source
['https://github.com/dutangc/CASdatasets/raw/c49cbbb37235fc49616cac8ccac32e1491cdc619/data/freMTPL2freq.rda']
Details
The dataset is a random sample of 50,000 records from `freMTPL2freq` from the `CASdatasets` pacakge. Other modifications applied are:
ClaimRate: Converted to ClaimNb per Exposure, winsorized at the 99.9th percentile, and rounded.VehAge: Ceiling of 50 years appliedDropped columns: Region, Density, Exposure, ClaimNb, IDpol
Examples
head(freMTPLmini)
#> # A tibble: 6 × 8
#> Area VehPower VehAge DrivAge BonusMalus VehBrand VehGas ClaimRate
#> <fct> <int> <dbl> <int> <int> <fct> <fct> <int>
#> 1 E 10 14 60 50 B2 Regular 0
#> 2 E 6 4 50 53 B1 Regular 0
#> 3 C 7 2 37 50 B3 Regular 0
#> 4 E 11 1 58 50 B12 Diesel 0
#> 5 B 8 1 29 64 B12 Regular 0
#> 6 A 7 1 28 57 B3 Diesel 0