Details


Model Name:

Decision Tree

Model Summary:

Decision trees are a popular machine learning algorithm for both classification and regression tasks. They partition the feature space based on different criteria to create a tree-like model. Decision trees are easy to interpret and can handle both categorical and numerical data, making them widely used in various domains.

Model Metrics:
Precision: 82.62%
Accuracy: 90.87%
Recall: 89.81%
F1 Score: 86.06%
ROC AUC Score: 90.58%