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classifierplots (version 1.4.0)

Generates a Visualization of Classifier Performance as a Grid of Diagnostic Plots

Description

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!

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Install

install.packages('classifierplots')

Monthly Downloads

277

Version

1.4.0

License

BSD 3-clause License + file LICENSE

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Maintainer

Aaron Defazio

Last Published

October 13th, 2020

Functions in classifierplots (1.4.0)

classifierplots_folder

classifierplots_folder
calibration_plot

calibration_plot
example_predictions

Generated using the gen_example included in the github source
accuracy_plot

accuracy_plot
roc_plot

roc_plot
recall_plot

recall_plot
calculate_auc

calculate_auc
sigmoid

sigmoid
propensity_plot

propensity_plot
precision_plot

precision_plot
positives_plot

positives_plot
notation_key_plot

notation_key_plot
density_plot

density_plot
classifierplots

lift_plot

lift_plot