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The classification tree method is applied to the definition of a (functional) problem. Informally expressed, the solution to such problems requires afunction to be executed, so that one can determine ...

The Data Science Lab Multi-Class Classification Using a scikit Decision Tree Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the ...

Besides serving as prediction models, classification trees are useful for finding important predictor variables and identifying interesting subgroups in the data. These functions can be compromised by ...

In this paper, we study the performance of various state-of-the-art classification algorithms applied to eight real-life credit scoring data sets. Some of the data sets originate from major Benelux ...

Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are turning ...

where n is the grand total of ED visits, c is the number of columns in a classification table, and r is the number of visit classes. The P value for the significance of V is the same as for ...