Decision trees are a machine learning algorithm used for data classification and regression tasks. They consist of a hierarchical structure with nodes representing decisions or tests on features.

I will be investigating the use of decision trees and boosted decision stumps to classifytext as one of two languages. Specifically, my task is to collect data and train (in several different ways) ...

Machine Learning Case Study: Ball Classification Using Decision Tree Algorithm. This project is a Machine Learning case study that focuses on classifying balls into two categories: tennis balls and ...

Decision trees are a simple but powerful prediction method. Figure 1: A classification decision tree is built by partitioning the predictor variable to reduce class mixing at each split. Figure 2 ...

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 ...

The data can then be analyzed using classification techniques in data mining. This paper presents a classification on the problem of in-vehicle coupon recommendation to determine the decision of ...

In this paper we are suggesting improvements over an existing C4.5 Algorithm. This is a very popular tree based classification algorithm, used to generate decision tree from a set of training examples ...