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MTPL_SHAP_Tutorial

MTPL_SHAP_Tutorial

active ARFF GPL-2 Visibility: public Uploaded 11-04-2023 by Michael Mayer
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This motor third-part liability (MTPL) pricing dataset describes 1 Mio insurance policies and their corresponding claim counts, see Mayer, M., Meier, D. and Wuthrich, M.V. (2023) SHAP for Actuaries: Explain any Model. http://dx.doi.org/10.2139/ssrn.4389797

7 features

claim_nb (target)numeric5 unique values
0 missing
yearnumeric2 unique values
0 missing
townnumeric3 unique values
0 missing
driver_agenumeric71 unique values
0 missing
car_weightnumeric206 unique values
0 missing
car_powernumeric290 unique values
0 missing
car_agenumeric24 unique values
0 missing

19 properties

1000000
Number of instances (rows) of the dataset.
7
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
7
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
100
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0.84
Average class difference between consecutive instances.
0
Percentage of missing values.

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