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 ...

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 ...

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, ...

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.