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.

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A binary classification problem is one where the goal is to predict the value ...

4. Decision tree models - Think of a decision tree model as an "if this, then that" situation where the model makes predictions by learning basic rules from the data. These models can provide easy ...

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 ...

Published: June 2010 Testicular cancer Decision tree model has potential to improve NSGCT management Ornob P. Roy & Louis R. Kavoussi Nature Reviews Urology 7, 308–310 (2010) Cite this article ...

In technical terms, if the AUC of the best model is below 0.8, logistic very clearly outperformed tree induction.