Decision trees are flexible enough to handle items with a mixture of real-valued and categorical features, as well as items with some missing features. They are expressive enough to model many ...

Binomial option pricing models rely on decision trees to estimate asset values, particularly for American and European ...

You will have the opportunity to apply Neural Networks to classify or predict outcomes in a given dataset and evaluate model performance in the labs for this module. This module will focus on the ...

Objective The objective was to examine the 22 variables from the Sport Concussion Assessment Tool’s 5 th Edition (SCAT5) Symptom Evaluation using a decision tree analysis to identify those most likely ...

In the issue’s second paper, “Financial distress prediction with optimal decision trees based on the optimal sampling probability”, Guotai Chi, Cun Li, Ying Zhou and Taotao Li develop a tree-based ...

Here is a [recently developed] tool for analyzing the choices, risks, objectives, monetary gains, and information needs involved in complex management decisions, like plant investment. by John F.