The Python code for a Decision-Tree (decisiontreee.py) is a good example to learn how a basic machine learning algorithm works. The inputdata.py is used by the createTree algorithm to generate a ...

One thing which is noticeable about the package is we can build any version of the above-given decision tree using just a few lines of codes. by Yugesh Verma There are different decision tree ...

While Markov Chain Monte Carlo methods are typically used to construct Bayesian Decision Trees, here we provide a deterministic Bayesian Decision Tree algorithm ... from the data and demonstrate this ...

This is a playground for Machine Learning. It visualises a simple example in which the user is prompted to enrich the training set of a Decision Tree algorithm. A demo (in English and Greek) can be ...

There is indeed a vast literature on the design and analysis of decision tree algorithms that aim at optimizing ... of attributes that are (on average) required to explain the classification of the ...

Abstract: 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 ... The results show ...