2026-03-31 23:02:54 | ERROR | evaluate | Model not found at ./saved_models\best_brain_tumor_model.h5. Run train.py first.
2026-03-31 23:05:49 | INFO | evaluate | Loading model from ./saved_models\ft_best.h5
2026-03-31 23:05:51 | INFO | evaluate | Evaluating best_model on test set ...
2026-03-31 23:06:06 | INFO | evaluate | 
Classification Report — best_model:
              precision    recall  f1-score   support

      glioma     0.2484    0.1900    0.2153       400
  meningioma     0.2554    0.2375    0.2461       400
     notumor     0.2568    0.2825    0.2690       400
   pituitary     0.2759    0.3325    0.3016       400

    accuracy                         0.2606      1600
   macro avg     0.2591    0.2606    0.2580      1600
weighted avg     0.2591    0.2606    0.2580      1600

2026-03-31 23:06:06 | INFO | evaluate | Report saved → ./logs\best_model_report.txt
2026-03-31 23:06:53 | INFO | evaluate | Confusion matrix saved → ./logs\best_model_confusion_matrix.png
2026-03-31 23:06:56 | INFO | evaluate | best_model — Test accuracy: 0.8731 | Test loss: 0.5124
2026-03-31 23:06:56 | INFO | evaluate | Evaluation complete.
2026-03-31 23:12:49 | INFO | evaluate | Loading model from ./saved_models\ft_best.h5
2026-03-31 23:12:51 | INFO | evaluate | Evaluating best_model on test set ...
2026-03-31 23:12:57 | INFO | evaluate | 
Classification Report — best_model:
              precision    recall  f1-score   support

      glioma     0.2320    0.1775    0.2011       400
  meningioma     0.2500    0.2325    0.2409       400
     notumor     0.2409    0.2650    0.2524       400
   pituitary     0.2676    0.3225    0.2925       400

    accuracy                         0.2494      1600
   macro avg     0.2476    0.2494    0.2467      1600
weighted avg     0.2476    0.2494    0.2467      1600

2026-03-31 23:12:57 | INFO | evaluate | Report saved → ./logs\best_model_report.txt
2026-03-31 23:13:00 | INFO | evaluate | Confusion matrix saved → ./logs\best_model_confusion_matrix.png
2026-03-31 23:13:03 | INFO | evaluate | best_model — Test accuracy: 0.8731 | Test loss: 0.5124
2026-03-31 23:13:03 | INFO | evaluate | Evaluation complete.
2026-03-31 23:13:36 | INFO | evaluate | Loading model from ./saved_models\ft_best.h5
2026-03-31 23:13:38 | INFO | evaluate | Evaluating best_model on test set ...
2026-03-31 23:13:44 | INFO | evaluate | 
Classification Report — best_model:
              precision    recall  f1-score   support

      glioma     0.9444    0.7225    0.8187       400
  meningioma     0.8414    0.7825    0.8109       400
     notumor     0.9045    0.9950    0.9476       400
   pituitary     0.8237    0.9925    0.9002       400

    accuracy                         0.8731      1600
   macro avg     0.8785    0.8731    0.8694      1600
weighted avg     0.8785    0.8731    0.8694      1600

2026-03-31 23:13:44 | INFO | evaluate | Report saved → ./logs\best_model_report.txt
2026-03-31 23:13:46 | INFO | evaluate | Confusion matrix saved → ./logs\best_model_confusion_matrix.png
2026-03-31 23:13:49 | INFO | evaluate | best_model — Test accuracy: 0.8731 | Test loss: 0.5124
2026-03-31 23:13:49 | INFO | evaluate | Evaluation complete.