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!
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.4.0 |
rolling linux/jammy R-4.5 | classifierplots_1.4.0.tar.gz |
325.2 KiB |
1.4.0 |
rolling linux/noble R-4.5 | classifierplots_1.4.0.tar.gz |
325.0 KiB |
1.4.0 |
rolling source/ R- | classifierplots_1.4.0.tar.gz |
246.9 KiB |
1.4.0 |
latest linux/jammy R-4.5 | classifierplots_1.4.0.tar.gz |
325.2 KiB |
1.4.0 |
latest linux/noble R-4.5 | classifierplots_1.4.0.tar.gz |
325.0 KiB |
1.4.0 |
latest source/ R- | classifierplots_1.4.0.tar.gz |
246.9 KiB |
1.4.0 |
2026-04-26 source/ R- | classifierplots_1.4.0.tar.gz |
246.9 KiB |
1.4.0 |
2026-04-23 source/ R- | classifierplots_1.4.0.tar.gz |
246.9 KiB |
1.4.0 |
2026-04-09 windows/windows R-4.5 | classifierplots_1.4.0.zip |
329.3 KiB |
1.4.0 |
2025-04-20 source/ R- | classifierplots_1.4.0.tar.gz |
246.9 KiB |