Usmile
0.2.0Threshold-Free Class-Specific Comparison of Binary Classifiers
Overview
Implements the U-smile methodology for threshold-free, class-specific comparison of probabilistic binary classifiers. The package quantifies prediction improvement and worsening separately for non-events and events using the Brier alteration (BA), relative Brier (RB), improvement proportion (I) coefficients, and relative likelihood ratio (rLR) coefficients, and provides U-smile, prediction improvement-worsening, receiver operating characteristic, and precision-recall plots. The original U-smile framework is described in Kubiak et al. (2024) doi:10.1371/journal.pone.0303276, its three-level extension for imbalanced binary classification in Wieckowska et al. (2025) doi:10.1371/journal.pone.0321661, and the likelihood-based extension in Wieckowska and Guzik (2026) doi:10.1038/s41598-026-40545-z.
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Health
- OK2026-08-096 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
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- Documented parameters
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- Return-value docs
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- References docs
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Checks run against github.com/bbwieckowska/usmile on 2026-08-16.
Dependencies
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Code & Tests
Datasets
People & History
1 release. R releases are shown for context.
- 0.2.0Latest2026-08-08 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-08-08
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 552 KB / 9 files
- Download size
- 2.1 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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