A Decision Tree Classifier is a popular machine learning algorithm used for classification tasks. It works by splitting the data into subsets based on the value of input features, creating a tree-like ...

Decision trees are a machine learning algorithm used for data classification and regression tasks. They consist of a hierarchical structure with nodes representing decisions or tests on features.

In our previous paper, K-means clustering algorithm was used to group learners with similar scores in three assessments. In this paper, we built a classifier model using the J48 Decision Tree ...

Mango pulp weevil (MPW) behavior has been long studied but frequency characterization of the said pest in different adult activities was not yet explored. This study focused on the comparative ...

Priyanka, N.A. and Kumar, D. (2020) Decision Tree Classifier: A Detailed Survey. International Journal of Information and Decision Sciences ... particularly focusing on algorithms like Random Forest, ...

Overall, the combination of computer vision systems with the decision tree algorithm proved to be an effective method for tomato quality classification. Performance metrics including accuracy (0.836), ...

Decision trees are a fundamental tool in machine learning, used for both classification and regression tasks. This project provides a hands-on approach to learning how these trees are constructed, ...