| 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. |
|
|
