Anonymized data supporting the paper "Transfer learning for mortality risk: A case study on the United Kingdom"

Nalmpatian, Asmik;Heumann, Christian;Jackson, William;Alkaya, Levent

Description

DatasetDescriptiontransfer_predictions_anonymized_UKMinimal anonymized data set necessary to replicate the trasnfer methodology for the UK on age and gender grouping level. Variables present are age, gender, predicted mortality rates, deaths and exposure. The predictions are based on the synthetic dataset of UK - details can be found here (PDF) Transfer learning for mortality risk: A case study on the United Kingdom).cmi_blended_ratesWe utilize the ’16’ series 95mortality tables from Working Paper 154 for the evaluation purposes, given the absence of an actual UK portfolio for comparison. More details can be found on CMI website.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.6

FAIR Score

79%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Political Science and International Relations

Field

Social Sciences

Domain

Social Sciences

Confidence Score

41%

Source

Scholar Data Model

Normalization Factors

FT

43.27

CTw

1.00

MTw

1.00