Decision Tree is the simple but powerful classification algorithm of machine learning where a tree or graph-like structure is constructed to display algorithms and reach possible consequences of a ...

Decision tree algorithms are very popular in the field of data mining. This paper proposes a distributed decision tree algorithm and shows examples of its implementation on big data platforms. The ...

Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover ...

This project serves as a practical example of using the Decision Tree Classifier algorithm for the classification of the Iris dataset. By visualizing the decision tree, we can better understand the ...

Decision tree is an important method for both induction research and data mining, which is mainly used for model classification and prediction. ID3 algorithm is the most widely used algorithm in the ...

After training decision trees against data, the algorithm is then run against new data in a test set. Before algorithm training, a test set is randomly extracted from the original set.

Some of the most popular big data analytics algorithms include K-means clustering, which groups similar data together; Decision Trees, used for making predictions based on past data; and Linear ...