/boosted-conformal

Primary LanguageJupyter NotebookOtherNOASSERTION

Boosted Conformal Prediction Intervals

R Dependencies Installation

Run the following commands in R to install the necessary packages:

install.packages("remotes", repos="https://cran.rstudio.com")
remotes::install_github("bnaras/conTree")

Installation

The development version is available here on GitHub:

git clone https://github.com/ran-xie/boosted-conformal.git

Reproducible Research

The code available under 'experiments/' in the repository replicates the experimental results in our paper.

Publicly Available Datasets

  • Bike: Bike sharing dataset data set.

  • Bio: Physicochemical properties of protein tertiary structure data set.

  • Blog: BlogFeedback data set.

  • Community: Communities and crime data set.

  • Concrete: Concrete compressive strength data set.

  • Facebook Variant 1 and Variant 2: Facebook comment volume data set.

  • STAR: C.M. Achilles, Helen Pate Bain, Fred Bellott, Jayne Boyd-Zaharias, Jeremy Finn, John Folger, John Johnston, and Elizabeth Word. Tennessee’s Student Teacher Achievement Ratio (STAR) project, 2008.

Data subject to copyright/usage rules

The Medical Expenditure Panel Survey (MPES) data can be downloaded using the code in the folder /get_meps_data/ under this repository. It is based on this explanation (code provided by IBM's AIF360).

  • MEPS_19: Medical expenditure panel survey, panel 19.

  • MEPS_20: Medical expenditure panel survey, panel 20.

  • MEPS_21: Medical expenditure panel survey, panel 21.

License

This project is licensed under the MIT License - see the LICENSE file for details.