DTEs
DTEs, or Decision Tree Ensembles, are a type of machine learning model used for classification and regression tasks. They are an ensemble learning method, which means they combine the predictions of multiple decision trees to improve the overall performance and robustness of the model. DTEs are particularly popular due to their simplicity, interpretability, and effectiveness in handling both numerical and categorical data.
A decision tree is a model that uses a tree-like graph of decisions and their possible consequences.
There are several types of DTEs, including Random Forests, which use a random subset of features at
DTEs are widely used in various applications, such as finance for credit scoring and fraud detection, healthcare