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Diffstat (limited to 'results/efficientnet_b0_clahe=False')
| -rw-r--r-- | results/efficientnet_b0_clahe=False/classification_report.txt | 13 | ||||
| -rw-r--r-- | results/efficientnet_b0_clahe=False/confusion_matrix.png | bin | 0 -> 77436 bytes | |||
| -rw-r--r-- | results/efficientnet_b0_clahe=False/training_curves.png | bin | 0 -> 78851 bytes |
3 files changed, 13 insertions, 0 deletions
diff --git a/results/efficientnet_b0_clahe=False/classification_report.txt b/results/efficientnet_b0_clahe=False/classification_report.txt new file mode 100644 index 0000000..86399e2 --- /dev/null +++ b/results/efficientnet_b0_clahe=False/classification_report.txt | |||
| @@ -0,0 +1,13 @@ | |||
| 1 | Experiment: efficientnet_b0_clahe=False | ||
| 2 | |||
| 3 | precision recall f1-score support | ||
| 4 | |||
| 5 | Healthy (0) 0.85 0.95 0.90 3872 | ||
| 6 | Mild NPDR (1) 0.25 0.06 0.10 366 | ||
| 7 | Moderate NPDR (2) 0.62 0.53 0.57 794 | ||
| 8 | Severe NPDR (3) 0.51 0.40 0.45 131 | ||
| 9 | Proliferative DR (4) 0.62 0.55 0.58 106 | ||
| 10 | |||
| 11 | accuracy 0.80 5269 | ||
| 12 | macro avg 0.57 0.50 0.52 5269 | ||
| 13 | weighted avg 0.76 0.80 0.78 5269 | ||
diff --git a/results/efficientnet_b0_clahe=False/confusion_matrix.png b/results/efficientnet_b0_clahe=False/confusion_matrix.png new file mode 100644 index 0000000..e12d810 --- /dev/null +++ b/results/efficientnet_b0_clahe=False/confusion_matrix.png | |||
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diff --git a/results/efficientnet_b0_clahe=False/training_curves.png b/results/efficientnet_b0_clahe=False/training_curves.png new file mode 100644 index 0000000..2d38888 --- /dev/null +++ b/results/efficientnet_b0_clahe=False/training_curves.png | |||
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