Misc Extra VisiRule Demos
In the following VisiRule demos, each chart is arranged as per the original diagram. One of the unique features of VisiRule is that it allows the author to determine the precise layout of a chart. The chart is used not only to generate the executable expert system, but can also be displayed as the questions are being presented to help guide the user. Where available, there is a link to the original diagram which inspired the demo example.
Legal knowledge is well suited to VisiRule's mode of self-publishing. VisiRule is designed to be used by legal experts and legal knowledge engineers, NOT programmers. VisiRule enables legal specialists to author and publish charts themselves in the form of interactive legal expert systems. No programming skills required. The introduction of technical engineers can lead to problems and takes away control from legal experts.
Visual models offer a very effective way of representing and communicating how legal knowledge is to be interpreted and implemented. VisiRule charts, which are based on decision trees, provide a familiar and structured way to organize legal knowledge. VisiRule charts can generate interactive question-driven legal expert systems. This means legal expertise can be shared with a global audience efficiently and safely.
Choosing the Right Machine Learning Algorithm: A Decision Tree Approach
Machine Learning, the "art and craftsmanship" of building systems capable of learning from data to perform a specific task by themselves, is not precisely a narrow subarea of artificial intelligence. In fact, the number and variety of algorithms and approaches to choose from are just overwhelming, and for beginners or occasional machine learning practitioners, it might be difficult to decide on which algorithm to use for any given problem. This decision is a critical step towards building the right model for your data and goals.
In May 2025, KDnuggets published an article entitled Choosing the Right Machine Learning Algorithm: A Decision Tree Approach by Iván Palomares Carrascosa. In the article, the author provides a visual, decision tree-based guide to enable readers to navigate towards the most suitable machine learning algorithm for their task, depending on the nature and complexity of their available data.
We have used to diagram to construct a VisiRule chart which we have compiled into a HTML/JavaScript executable. You can explore this simply by clicking on the run button below.
