Machine learning algorithm selector GUI: regression, classification, time series forecasting, clustering, dimensionality reduction, new data generation and special classification scenarios. - ...

Decision tree regression is a fundamental technique that can be used by itself, and is also the basis for powerful ensemble techniques (a collection of many decision trees), notably, AdaBoost ...

Decision trees are a popular machine learning algorithm that can be used for both classification and regression tasks. They operate by recursively dividing the dataset into subsets according to the ...

Decision tree induction algorithms are well known techniques for assigning objects to predefined categories in a transparent fashion. Most decision tree induction algorithms rely on a greedy top-down ...

While Markov Chain Monte Carlo methods are typically used to construct Bayesian Decision Trees, here we provide a deterministic Bayesian Decision Tree algorithm that eliminates the sampling and does ...