A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A binary classification problem is one where the goal is to predict the value ...

Figure 1: Multi-Class Classification Using a scikit Decision Tree After training, the model is applied to the training data and the test data. The model scores 84.00 percent accuracy (168 out of 200 ...

First, we tested a limited set of classification approaches that we selected variously based on their use in related fields: a straightforward decision-tree format of the results and a more ...

Classification and regression trees are ideally suited for the analysis of complex ecological data. For such data, we require flexible and robust analytical methods, which can deal with nonlinear ...