Data
freMTPL2freq

freMTPL2freq

active ARFF Public Domain (CC0) Visibility: public Uploaded 05-11-2018 by Christophe Dutang
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  • Actuarial Science Data Science Finance freMTPL2freq Kaggle Risk Management Statistics
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The dataset freMTPL2freq contains risk features for 677,991 motor third-part liability policies (observed mostly on one year). See https://github.com/dutangc/CASdatasets for more details. The dataset is associated with 'Computational Actuarial Science with R' edited by Arthur Charpentier, CRC, 2018.

12 features

IDpolnumeric678013 unique values
0 missing
ClaimNbnumeric11 unique values
0 missing
Exposurenumeric181 unique values
0 missing
Areanominal6 unique values
0 missing
VehPowernumeric12 unique values
0 missing
VehAgenumeric78 unique values
0 missing
DrivAgenumeric83 unique values
0 missing
BonusMalusnumeric115 unique values
0 missing
VehBrandnominal11 unique values
0 missing
VehGasstring2 unique values
0 missing
Densitynumeric1607 unique values
0 missing
Regionnominal22 unique values
0 missing
Show all 12 features

19 properties

NumberOfInstances
678013
Number of instances (rows) of the dataset.
NumberOfFeatures
12
Number of attributes (columns) of the dataset.
NumberOfClasses
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
8
Number of numeric attributes.
NumberOfSymbolicFeatures
3
Number of nominal attributes.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
AutoCorrelation
Average class difference between consecutive instances.
PercentageOfNumericFeatures
66.67
Percentage of numeric attributes.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfSymbolicFeatures
25
Percentage of nominal attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
Show all 19 properties

9 tasks

Clustering on freMTPL2freq
0 runs - estimation_procedure: 50 times Clustering
Clustering on freMTPL2freq
0 runs - estimation_procedure: 50 times Clustering
Clustering on freMTPL2freq
0 runs - estimation_procedure: 50 times Clustering
Clustering on freMTPL2freq
0 runs - estimation_procedure: 50 times Clustering
Clustering on freMTPL2freq
0 runs - estimation_procedure: 50 times Clustering
Clustering on freMTPL2freq
0 runs - estimation_procedure: 50 times Clustering
Clustering on freMTPL2freq
0 runs - estimation_procedure: 50 times Clustering
Clustering on freMTPL2freq
0 runs - estimation_procedure: 50 times Clustering
Clustering on freMTPL2freq
0 runs - estimation_procedure: 50 times Clustering
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