WorkersCompensation
OpenML dataset with id 42876
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22045494/WorkersCompensation.arff
Upload date: 11 May 2021
Copyright license: No records found.
Dataset Characteristics
Number of classes: 0
Number of features: 14 (numeric: 8, symbolic: 0 and in total binary: 0 )
Number of instances: 100,000
Number of instances with missing values: 0
Number of missing values: 0
This dataset describes 100,000 realistic, synthetically generated worker compensation insurance claims. Along the ultimate financial losses, each claim is described by the initial case estimate, date of accident and reporting date, a text describing the accident and demographic info on the worker.
The dataset was kindly created and provided by Colin Priest. While similar, it is not identical to the dataset used in www.kaggle.com/c/actuarial-loss-estimation.
This page was built for dataset: WorkersCompensation
