This project demonstrates the use of a Decision Tree Classifier to solve a classification problem ... model training, evaluation, and visualization. To build a Decision Tree model that classifies data ...

There are many well established techniques for classification, while decision tree is a very important and popular technique from the machine learning domain. Decision tree is a decision support tool ...

How can a visualization present your story on its own? Figure 1. A decision tree for choosing the best graphical representation ... Three side-by-side bar graphs could represent income, expenditures, ...

Generic approaches are classification algorithms ... or the visualizations illustrate the decision tree rules as e.g. graph structures. But they lack to provide a possibility to show both, data and ...

To create a Decision Tree classifier and visualize it graphically, the purpose is if we feed any new data to this classifier, it would be able to predict the right class accordingly.