Machine learning and data mining

Weighting model fit with ctree in party

March 15, 2010 | 0 Comments

Conditional inference trees (ctree) in package party allows weighting which is useful when one classification outcome is more important than another. Useful examples are not difficult to imagine: in a marketing direct mailing, a false positive (non-res...
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Compare performance of machine learning classifiers in R

December 23, 2009 | 0 Comments

This tutorial demonstrates to the R novice how to create five machine learning models for classification and compare the performance graphically with ROC curves in one chart. For a simpler introduction, start with Plot ROC curve and lift chart in R. # ...
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Plot ROC curve and lift chart in R

December 18, 2009 | 0 Comments

This tutorial with real R code demonstrates how to create a predictive model using cforest (Breiman’s random forests) from the package party, evaluate the predictive model on a separate set of data, and then plot the performance using ROC curves ...
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