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 ...

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

Iris Classification: Decision Tree & Random Forest Project Overview This project demonstrates classification of the classic Iris flower dataset using machine learning. It focuses on building and ...

Efficient and privacy-preserving decision tree classification for health monitoring systems Citation: Liang, J. , Qin, Z. , Xue, L. , Lin, X. , & Shen, X. . (2021). Efficient and privacy-preserving ...

Decision tree classification is one of the most practical and effective methods which is used in inductive learning. Many different approaches, which are usually used for decision making and ...

Results: The decision tree model thus constructed successfully classified all 3 tumor types with a performance (AUC) of 0.98 for PCNSLs, 0.98 for GBM and 1.00 for METs. The model accuracy was 0.96 ...