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codecheck.yml
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codecheck.yml
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version: https://codecheck.org.uk/spec/1.0
paper:
title: "ShinyLearner: A containerized benchmarking tool for machine-learning classification of tabular data."
authors:
- name: Terry J Lee
- name: Erica Suh
- name: Kimball Hill
- name: Stephen R Piccolo
reference: https://doi.org/10.1093/gigascience/giaa026
manifest:
- file: Figures/Datasets_Basic_AUROC.pdf
comment: Figure 2 of manuscript
- file: Figures/Predictions_Histograms.pdf
comment: Figure 3 of manuscript
- file: Figures/Algorithms_ParamsImprovement_AUROC.pdf
comment: Figure 4 of manuscript
- file: Figures/Algorithms_FSImprovement_AUROC.pdf
comment: Figure 5 of manuscript
- file: Figures/FS_vs_CL.pdf
comment: Figure 6 of manuscript
- file: Figures/FS_NumFeatures.pdf
comment: Figure 7 of manuscript
- file: Tables/Basic_DiffFromMedian.tsv
comment: Example output table 1 (not in manuscript)
- file: Tables/ParamOpt_Improvement.tsv
comment: Example output table 2 (not in manuscript)
codechecker:
- name: Stephen J. Eglen
ORCID: 0000-0001-8607-8025
summary: Only visualiation steps performed, rather than machine learning (which could take several hours/days). The created figures match those in the article. The content of other output files was not checked.
repository: https://github.com/codecheckers/Piccolo-2020
check_time: "2019-02-14 10:00:00"
certificate: 2020-001
report: http://doi.org/10.5281/zenodo.3674056