What is Simple Decision Tree?

Simple Decision Tree is an open-source Windows application for machine learning tasks involving decision trees. It provides a graphical user interface for constructing, analyzing, and exporting decision tree models without the need for programming or coding.

Some key features of Simple Decision Tree include:

• Intuitive drag-and-drop interface for building decision tree models visually
• Support for both categorical and numerical data as inputs
• Options for splitting criteria like Gini, information gain, chi-square, and more
• Real-time visualization of decision trees as they are constructed
• Tree pruning and optimization tools to prevent overfitting
• Model validation tools like cross-validation and confusion matrices
• Reporting to analyze tree accuracy, errors, and predictions
• Exporting of trees and datasets in multiple formats

Simple Decision Tree makes decision tree machine learning accessible to non-programmers. With its graphical interface and visualization capabilities, it can be a useful educational tool and allow experimentation with decision tree models and parameters.

Official Links