The Data Science Lab Binary Classification Using a scikit Decision Tree Dr. James McCaffrey of Microsoft Research says decision trees are useful for relatively small datasets and when the trained ...

For example, a decision with an outcome of $150,000 that costs $20,000 to attempt is dangerous if your business can't afford to lose $20,000. Eliminate outcomes with unaffordable attached risks.

The demo program creates a decision tree regression model where the tree has seven nodes. After the tree is created, the demo program computes the model accuracy on the training data as 0.9000 (9 out ...

The decision tree model can be used in Medicare forecasting to predict nonlinear relationships between Medicare costs and related factors such as age, gender, and illness.” ...

This paper presents a general framework based on copulas for modeling dependent multivariate uncertainties through the use of a decision tree. The proposed dependent decision tree model allows ...

Additionally, we aim to investigate risk factors associated with the incidence of CIPN within the local context using the classification and regression tree (CART) algorithm, which yields an easily ...