Package: classifierplots 1.4.0
Aaron Defazio
classifierplots: Generates a Visualization of Classifier Performance as a Grid of Diagnostic Plots
Generates a visualization of binary classifier performance as a grid of diagnostic plots with just one function call. Includes ROC curves, prediction density, accuracy, precision, recall and calibration plots, all using ggplot2 for easy modification. Debug your binary classifiers faster and easier!
Authors:
classifierplots_1.4.0.tar.gz
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classifierplots_1.4.0.tgz(r-4.5-any)classifierplots_1.4.0.tgz(r-4.4-any)classifierplots_1.4.0.tgz(r-4.3-any)
classifierplots_1.4.0.tar.gz(r-4.5-noble)classifierplots_1.4.0.tar.gz(r-4.4-noble)
classifierplots_1.4.0.tgz(r-4.4-emscripten)classifierplots_1.4.0.tgz(r-4.3-emscripten)
classifierplots.pdf |classifierplots.html✨
classifierplots/json (API)
| # Install 'classifierplots' in R: |
| install.packages('classifierplots', repos = c('https://adefazio.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/adefazio/classifierplots/issues
- example_predictions - Generated using the gen_example included in the github source
Last updated 4 years agofrom:6d2484899c. Checks:1 OK, 8 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Apr 01 2025 |
| R-4.5-win | NOTE | Apr 01 2025 |
| R-4.5-mac | NOTE | Apr 01 2025 |
| R-4.5-linux | NOTE | Apr 01 2025 |
| R-4.4-win | NOTE | Apr 01 2025 |
| R-4.4-mac | NOTE | Apr 01 2025 |
| R-4.4-linux | NOTE | Apr 01 2025 |
| R-4.3-win | NOTE | Apr 01 2025 |
| R-4.3-mac | NOTE | Apr 01 2025 |
Exports:accuracy_plotcalibration_plotclassifierplotsclassifierplots_folderdensity_plotlift_plotnotation_key_plotpositives_plotprecision_plotpropensity_plotrecall_plotroc_plotsigmoid
Dependencies:bitopscaretcaToolsclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyre1071fansifarverforeachfuturefuture.applygenericsggplot2globalsgluegowergplotsgridExtragtablegtoolshardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpngpROCprodlimprogressrproxypurrrR6RColorBrewerRcpprecipesreshape2rlangROCRrpartscalesshapesparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| accuracy_plot | accuracy_plot |
| calculate_auc | calculate_auc |
| calibration_plot | calibration_plot |
| The main functions you want are 'classifierplots' or 'classifierplots_folder'. | classifierplots-package classifierplots |
| classifierplots_folder | classifierplots_folder |
| density_plot | density_plot |
| Generated using the gen_example included in the github source | example_predictions |
| lift_plot | lift_plot |
| notation_key_plot | notation_key_plot |
| positives_plot | positives_plot |
| precision_plot | precision_plot |
| propensity_plot | propensity_plot |
| recall_plot | recall_plot |
| roc_plot | roc_plot |
| sigmoid | sigmoid |