Example of backtesting for claims due to alleged injuries for the Lombardia region.

Figshare2016-09-28 更新2026-04-29 收录

数据链接：

https://figshare.com/articles/dataset/Example_of_backtesting_for_claims_due_to_alleged_injuries_for_the_Lombardia_region_/3951564 数据链接链接失效反馈

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资源简介：

Observed (historical) claims against claims predicted for 2011.

创建时间：

2016-09-28

AV Datahack Insurance Claim Prediction

保险索赔预测

风险建模

Predict whether the policyholder will file a claim in the next 6 months or not.

kaggle2022-11-13 更新50

Comparison of the maximum actual number of claims from actual events versus the maximum predicted number of claims from predicted events using the state-level analysis in 2016 at the county level.

保险索赔预测

预测模型

Comparison of the maximum actual number of claims from actual events versus the maximum predicted number of claims from predicted events using the state-level analysis in 2016 at the county level.

NIAID Data Ecosystem30

car-insurance-eda

保险索赔预测

保险风险分析

该数据集名为“汽车保险索赔数据集”，来源于Kaggle，包含个人的 demographic、财务和驾驶相关信息，旨在分析影响保险索赔行为的因素。数据集主要包含数值型特征，如年龄组、信用评分、驾驶经验、年行驶里程、超速违规记录、酒驾记录、过往事故记录、车辆年份、车辆类型、子女情况、婚姻状态等。目标变量为“OUTCOME”，0表示无索赔，1表示有索赔。数据集经过数据质量检查，包括缺失值、重复行、不一致

Hugging Face2026-04-10 更新20

Comparison of the total actual number of claims from actual events versus the total predicted number of claims from only predicted events with some time overlap with the actual events using the state-level analysis in 2016 at the county level.

保险索赔预测

灾后损害评估

NIAID Data Ecosystem40

Results for monetary damages, for the Liguria region.

保险索赔预测

风险评估

Estimates of the parameters of the Poisson model as per Appendix 2.1, number of departments of a given type that generated each alleged type of claim (N.Dep), observed frequencies of claims for the di

NIAID Data Ecosystem30

Example of backtesting for claims due to alleged injuries for the Lombardia region.

资源简介：

相关数据集