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 ...

The proposed analysis focuses on key performance metrics to assess classification effectiveness, including accuracy, precision, recall, F1-score, and Area Under the Curve (AUC). The Decision Tree ...

Decision Tree: A tree-structured model used for classification and regression in which internal nodes represent tests on attributes and leaf nodes represent outcome labels.