Houston Chronicle

How to Evaluate a Decision Tree Model

A decision tree can help you make tough choices between different paths and outcomes, but only if you evaluate the model correctly. Decision trees are graphic models of possible decisions and all ...
Nature

Decision tree model has potential to improve NSGCT management

Patients diagnosed with clinical stage I (CS I) nonseminomatous germ cell tumors (NSGCT) have excellent survival. There are several therapies that contribute to this outcome and choosing among them ...
Visual Studio Magazine

Binary Classification Using a scikit Decision Tree

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 ...
BMJ

6.9 Two symptoms to triage acute concussions: using decision tree modeling to predict prolonged recovery following concussion

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 ...
ascopubs.org

Decision tree model with tumor immune function genes for predicting response to anti-PD1 therapy in renal cell carcinoma.

Real-world safety and efficacy data of patients with synchronous metastatic renal cell carcinoma (mRCC) treated with nivolumab and ipilimumab (N+I) and the primary tumour (PT) in place. This is an ...
Visual Studio Magazine

Binary Classification Using a scikit Decision Tree

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 ...