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 ...

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 ...

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 ...

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 ...

Decision tree analysis is a method of constructing a decision tree, which is a detailed representation of numerous potential solutions that can be utilized to address a specific problem to choose the ...

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 ...

Next, the demo creates and trains a decision tree model using the DecisionTreeClassifier class from the scikit library. [Click on image for larger view.] Figure 1: Binary Classification Using a scikit ...