<p>This data set used in the CoIL 2000 Challenge contains information on customers of an insurance company. 
The data consists of 86 variables and includes product usage data and socio-demographic data. Detailed
information, please refer to the Source. For imputation study, this dataset can be treated as a mixed-type
data.</p>

datasets

Multivariate Expectation-Maximization (EM) based imputation framework that offers several different algorithms. These include regularisation methods like Lasso and Ridge regression, tree-based models and dimensionality reduction methods like PCA and PLS.

Steffen Moritz

imputeR

A General Multivariate Imputation Framework

Lingbing Feng

Gen Nowak

Alan. H. Welsh

Terry. J. O'Neill

tic function

<p>A data frame with 266 rows and 23 variables</p>

Format

Insurance Company Benchmark (COIL 2000) Data Set — tic

Insurance Company Benchmark (COIL 2000) Data Set

tic: Insurance Company Benchmark (COIL 2000) Data Set

Description

Arguments

Format

Details

References