Login to your profile!



No account? sign up!

tic-mld-tic-eval2000     (Machine Learning Data)

Download data

This data set is in the collection of Machine Learning Data

   Download TIC-MLD-TIC-EVAL2000

tic-mld-tic-eval2000 is 667KB compressed!

Visualize and interactively analyze tic-mld-tic-eval2000 and discover valuable insights using our interactive visualization platform. Compare with hundreds of other data across many different collections and types.

Metadata

NameInsurance Company Benchmark (COIL 2000)
Data typesMultivariate
Data taskRegression, Description
Attribute typesCategorical, Integer
Instances9000
Attributes86
Year2000
AreaSocial
DescriptionThis 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

Please cite the following if you use the data:

@inproceedings{nr,
     title={The Network Data Repository with Interactive Graph Analytics and Visualization},
     author={Ryan A. Rossi and Nesreen K. Ahmed},
     booktitle={AAAI},
     url={https://networkrepository.com},
     year={2015}
}

Note that if you transform/preprocess the data, please consider sharing the data by uploading it along with the details on the transformation and reference to any published materials using it.

@     Name = Insurance Company Benchmark (COIL 2000)Data types = MultivariateData task = Regression,
     DescriptionAttribute types = Categorical,      IntegerInstances = 9000Attributes = 86Year = 2000Area = SocialDescription = 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,

Interactive Visualization of Machine Learning Data

Tools for Interactive Exploration of ML Data

Visualize and interactively explore tic-mld-tic-eval2000 and its important statistics!

  • A subset of interesting data points may be selected. To select a subset of data points, hold down the left mouse button while dragging the mouse in any direction until the data points of interest are highlighted.This feature allows users to explore and analyze various subsets of data points to gain insights
  • Zoom in/out on the visualization you created at any point by using the buttons below on the left.
  • Once a subset of interesting data points are selected, the user may further analyze by selecting and drilling down on any of the interesting attributes using the left menu below.
  • We also have tools for interactively visualizing, comparing, and exploring the data and statistics.