Package: OneR 2.2
OneR: One Rule Machine Learning Classification Algorithm with Enhancements
Implements the One Rule (OneR) Machine Learning classification algorithm (Holte, R.C. (1993) <doi:10.1023/A:1022631118932>) with enhancements for sophisticated handling of numeric data and missing values together with extensive diagnostic functions. It is useful as a baseline for machine learning models and the rules are often helpful heuristics.
Authors:
OneR_2.2.tar.gz
OneR_2.2.zip(r-4.5)OneR_2.2.zip(r-4.4)OneR_2.2.zip(r-4.3)
OneR_2.2.tgz(r-4.4-any)OneR_2.2.tgz(r-4.3-any)
OneR_2.2.tar.gz(r-4.5-noble)OneR_2.2.tar.gz(r-4.4-noble)
OneR_2.2.tgz(r-4.4-emscripten)OneR_2.2.tgz(r-4.3-emscripten)
OneR.pdf |OneR.html✨
OneR/json (API)
NEWS
# Install 'OneR' in R: |
install.packages('OneR', repos = c('https://vonjd.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/vonjd/oner/issues
- breastcancer - Breast Cancer Wisconsin Original Data Set
Last updated 6 years agofrom:72dd03301b. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 09 2024 |
R-4.5-win | OK | Nov 09 2024 |
R-4.5-linux | OK | Nov 09 2024 |
R-4.4-win | OK | Nov 09 2024 |
R-4.4-mac | OK | Nov 09 2024 |
R-4.3-win | OK | Nov 09 2024 |
R-4.3-mac | OK | Nov 09 2024 |
Exports:bineval_modelis.OneRmaxlevelsOneRoptbin
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Binning function | bin |
Breast Cancer Wisconsin Original Data Set | breastcancer |
Classification Evaluation function | eval_model |
Test OneR model objects | is.OneR |
Remove factors with too many levels | maxlevels |
One Rule function | OneR OneR.data.frame OneR.formula |
Optimal Binning function | optbin optbin.data.frame optbin.formula |
Plot Diagnostics for an OneR object | plot.OneR |
Predict method for OneR models | predict.OneR |
Print OneR models | print.OneR |
Summarize OneR models | summary.OneR |