treeSummaryMinBucket

Sample data based on dataset mpg in the ggplot2 package

Finds modelling features through a detailed analysis of model residuals using 'rpart' classification and regression trees. Scans the residuals of a model across subsets of the data to identify areas where the model prediction differs from the actual target variable. S. Chatterjee, A. S. Hadi (2006) <doi:10.1002/0470055464>.

Richard Davis

featurefinder

Feature Finder

treeSummaryMinBucket function

Minimum number of data points per leaf allowed in tree summary.

Format

Richard Davis <a href="/link/richard.davis%40cba.com.au?package=featurefinder&version=1.1" data-mini-rdoc="featurefinder::richard.davis@cba.com.au">richard.davis@cba.com.au</a>

Author

treeSummaryMinBucket — treeSummaryMinBucket

Richard Davis <a href='mailto:richard.davis@cba.com.au'>richard.davis@cba.com.au</a>

treeSummaryMinBucket: treeSummaryMinBucket

Description

Arguments

Format

Author

Examples