Table also shows the precision, recall and f1-score metrics of each class. The model performs well overall with an accuracy of 76%. The model performs well in predicting "Good" and "Bad" routes, as seen in their relatively high F1 scores 0.85 and 0.78. This suggests that the model is quite reliable in identifying the extremes (best and worst) of route quality. The high precision for "Good" and high recall for "Bad" suggests that the model is more stringent in confirming "Good" routes but more lenient in identifying "Bad" ones.