Visual Studio Magazine

Multi-Class Classification Using a scikit Decision Tree

Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the trained model must be easily interpretable, explains Dr. James McCaffrey of ...
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 ...
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 ...
Investopedia on MSN

Using Decision Trees in Finance

Decision trees are major components of finance, philosophy, and decision analysis in university classes. Yet, many students ...
ascopubs.org

Predictive Factors of Chemotherapy-Induced Peripheral Neuropathy in Breast Cancer: A Decision Tree Model Approach

Discordance Between the Initial Diagnosis of Sarcomas and Subsequent Histopathological Revision and Molecular Analyses in a Sarcoma Reference Center in Brazil In this prospective study of 170 patients ...