medical_charges
OpenML dataset with id 44146
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22103271/medical_charges.arff
Upload date: 5 July 2022
Dataset Characteristics
Number of classes: 0
Number of features: 4 (numeric: 4, symbolic: 0 and in total binary: 0 )
Number of instances: 163,065
Number of instances with missing values: 0
Number of missing values: 0
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "regression on numerical features" benchmark. Original description:
The Inpatient Utilization and Payment Public Use File (Inpatient PUF) provides information on inpatient discharges for Medicare fee-for-service beneficiaries. The Inpatient PUF includes information on utilization, payment (total payment and Medicare payment), and hospital-specific charges for the more than 3,000 U.S. hospitals that receive Medicare Inpatient Prospective Payment System (IPPS) payments. The PUF is organized by hospital and Medicare Severity Diagnosis Related Group (MS-DRG) and covers Fiscal Year (FY) 2011 through FY 2016.
This page was built for dataset: medical_charges
