The Data Science Lab. How to Create a Machine Learning Decision Tree Classifier Using C#. After earlier explaining how to compute disorder and split data in his exploration of machine learning ...

In the decision tree chapter, you will go through the process calculating entropy and selecting features for each branch of your machine learning model.

Take the example of a decision tree. This is a rule-based machine learning method, as the model builds a set of rules that depict the classification path.

Machine Learning. AdobeStock_245601545. Every day we hear about new ways automation is transforming businesses and customer-facing applications – for example, insurance claims processing or ...

Applying them effectively means selecting the right model (decision tree, nearest neighbor, neural net, support vector machine, ensemble of multiple models) and a learning procedure to fit the ...

The alternating decision tree learning algorithm. in Proceedings of the 16th International Conference on Machine Learning, (eds. Bratko, I. & Džeroski, S.) 124–133 (Morgan Kaufmann, San ...