Code, Data, and Experimental Results for "Boosting Revisited: Benchmarking and Advancing LP-Based Ensemble Methods"

This dataset contains (1) all code needed to reproduce our results, (2) the 20 data sets on which we report results, and (3) all experiment results, related to the paper: "Boosting Revisited: Benchmarking and Advancing LP-Based Ensemble Methods" as published in TMLR, see: https://openreview.net/forum?id=lscC4PZUE4.
The code is written in Python 3.12, a README inside the zipped code folder provides more details on setting up and running the code.
In the zipped data sets folder, we provide a README with more information on our preprocessing steps and links to the orginal sources from which we retrieved the data sets.
Each experiment is outputted to a JSON file. We include both the results as reported in the paper (the best-found hyperparameter setting) and all experiments related to other hyperparameter settings. The JSON files are organized in zipped folders per experiment type. See the README for further details.