Generates a Visualization of Classifier Performance as a Grid of Diagnostic Plots
accuracy_plot
calculate_auc
calibration_plot
The main functions you want are classifierplots or `classifierplots_...
classifierplots_folder
density_plot
lift_plot
notation_key_plot
positives_plot
precision_plot
propensity_plot
recall_plot
roc_plot
sigmoid
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!
Useful links