Graphical and computational methods that can be used to assess the stability of results from supervised statistical learning.
|Author||Michel Philipp [aut, cre], Carolin Strobl [aut], Achim Zeileis [aut], Thomas Rusch [aut], Kurt Hornik [aut]|
|Date of publication||2017-01-13 15:20:10|
|Maintainer||Michel Philipp <M.Philipp@psychologie.uzh.ch>|
|License||GPL-2 | GPL-3|
addLearner: Add learners to 'LearnerList'
bootstrap: Sampler Infrastructure for Stability Assessment
boxplot: Illustrate Results from Stability Assessment
dgp_twoclass: Data-Ggnerating Function for Two-Class Problem
LearnerList: List of Predefined Learners for Assessing Stability
plot.stabletree: Visualizing Tree Stability Assessments
similarity_measures_classification: Similarity Measure Infrastructure for Stability Assessment...
similarity_measures_regression: Similarity Measure Infrastructure for Stability Assessment...
similarity_values: Extracting Similarity Values
stab_control: Control for Supervised Stability Assessments
stability: Stability Assessment for Results from Supervised Statistical...
stabletree: Stability Assessment for Tree Learners
summary: Summarize Results from Stability Assessment
titanic: Passengers and Crew on the RMS Titanic