Data Science Desktop Survival Guide by Graham Williams
Desktop Survival Project Home Preface Data Science Introducing R R Constructs R Tasks R Strings R Read, Write, and Create Data Template Data Exploration Data Wrangling Data Visualisation Statistics ML Template ML Scenarios ML Activities ML Applications ML Algorithms Cluster Analysis Decision Trees Computer Vision Graph Data Privacy Literate Data Science Coding with Style Resources Bibliography Index

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Enhanced Plots: Add Percentage of Observations

prp(model, type=2, extra=106)

This is a particularly informative plot for binary classification tasks. Each node includes the probability of the second class, which is usually the positive class in a binary classification dataset. Each node also includes the percentage of the training dataset that corresponds to that node.