Decision Tree
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.
| Precision: | 82.62% |
| Accuracy: | 90.87% |
| Recall: | 89.81% |
| F1 Score: | 86.06% |
| ROC AUC Score: | 90.58% |