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-4.4-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'))

Peer review:

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:

5.71 score 6 stars 144 scripts 582 downloads 6 mentions 3 exports 28 dependencies

Last updated 5 years agofrom:ca1184d564. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-winWARNINGNov 10 2024
R-4.5-linuxWARNINGNov 10 2024
R-4.4-winWARNINGNov 10 2024
R-4.4-macWARNINGNov 10 2024
R-4.3-winWARNINGNov 10 2024
R-4.3-macWARNINGNov 10 2024

Exports:brier_scoreevalmLL

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr

MLeval

Christopher R John

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Nov 10 2024.

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