How to boost a decision tree algorithm
The decision tree is a popular and effective algorithm used primarily in classification work, but it also serves well in predicting quantitative phenomena.
Consumer shopping value analysis using Regression Trees. Part 2
Regression trees are a very interesting data analysis technique commonly used in tasks related to poststratification, forecasting, and segmentation.
Consumer shopping value analysis using Regression Trees. Part 1
How can we estimate the potential value of consumer shopping, predict the behavior of a visitor to our website, or reduce the risk of credit losses?
Maps that grow out of trees: Data visualisation as an artform
In the previous PS blog “Trees that grow out of tables”, Janusz Wachnicki described how a good understanding of the humble crosstab can help us utilise classification trees more...
Trees that grow from tables
When stepping outside the domain of distributive and descriptive statistics for individual variables, we usually take interest in correlations between variables.