Summary: Accuracy: 78.57% Precision: 85.71% Recall: 75% Balanced Accuracy: 79.17% These metrics provide a clear picture of how well the model performed, with accuracy and balanced accuracy indicating overall performance, precision focusing on the quality of positive predictions, and recall measuring how well the positive class was captured.