| Model | Accuracy | ROC AUC | Computation Time (s) | Memory Usage (MB) |
| Logistic Regression | 73.19% | 78.99% | 0.065 | 5792.73 |
| Random Forest | 71.71% | 77.36% | 6.372 | 5792.73 |
| Support Vector Machine (SVM) | 73.63% | 79.31% | 133.471 | 5802.63 |
| K-Nearest Neighbor (KNN) | 69.64% | 74.65% | 0.073 | 5802.63 |
| Decision Tree | 63.40% | 63.41% | 0.408 | 5802.63 |
| Gradient Boosting | 73.83% | 80.25% | 6.677 | 5802.63 |
| LSTM (Deep Learning) | 73.69% | 80.06% | 36.809 | 5802.63 |