Package: MLeval 0.3

MLeval: Machine Learning Model Evaluation

Straightforward and detailed evaluation of machine learning models. 'MLeval' can produce receiver operating characteristic (ROC) curves, precision-recall (PR) curves, calibration curves, and PR gain curves. 'MLeval' accepts a data frame of class probabilities and ground truth labels, or, it can automatically interpret the Caret train function results from repeated cross validation, then select the best model and analyse the results. 'MLeval' produces a range of evaluation metrics with confidence intervals.

Authors:Christopher R John

MLeval_0.3.tar.gz
MLeval_0.3.zip(r-4.5)MLeval_0.3.zip(r-4.4)MLeval_0.3.zip(r-4.3)
MLeval_0.3.tgz(r-4.5-any)MLeval_0.3.tgz(r-4.4-any)MLeval_0.3.tgz(r-4.3-any)
MLeval_0.3.tar.gz(r-4.5-noble)MLeval_0.3.tar.gz(r-4.4-noble)
MLeval_0.3.tgz(r-4.4-emscripten)MLeval_0.3.tgz(r-4.3-emscripten)
MLeval.pdf |MLeval.html✨
MLeval/json (API)

# Install 'MLeval' in R:
install.packages('MLeval', repos = c('https://crj32.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/crj32/mleval/issues

Datasets:
  • Sonar - Sonar data
  • fit - Random forest fitted object from Caret on Sonar data
  • fit1 - Random forest fitted object from Caret on Sonar data
  • fit2 - Gradient boosted machines fitted object from Caret on Sonar data
  • fit3 - Random forest fitted object from Caret on Sonar data with log-likelihood objective function
  • im_fit - Random forest fitted object from Caret on simulated imbalanced data
  • preds - Predictions from gbm on the Sonar test data
  • predsc - Predictions from gbm and random forest on the Sonar test data

On CRAN:

Conda:

5.71 score 6 stars 144 scripts 679 downloads 6 mentions 3 exports 28 dependencies

Last updated 5 years agofrom:ca1184d564. Checks:1 OK, 8 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 10 2025
R-4.5-winWARNINGMar 10 2025
R-4.5-macWARNINGMar 10 2025
R-4.5-linuxWARNINGMar 10 2025
R-4.4-winWARNINGMar 10 2025
R-4.4-macWARNINGMar 10 2025
R-4.4-linuxWARNINGMar 10 2025
R-4.3-winWARNINGMar 10 2025
R-4.3-macWARNINGMar 10 2025

Exports:brier_scoreevalmLL

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr

MLeval

Christopher R John

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Mar 10 2025.

Last update: 2020-02-12
Started: 2020-02-12