Training results - 20251127_090030
Browse files- .gitattributes +4 -0
- training_results/confusion_matrices_20251127_081239.png +0 -0
- training_results/evaluation_metrics_20251127_081239.csv +6 -0
- training_results/metrics_summary_20251127_081239.png +0 -0
- training_results/model_20251127_080822.keras +3 -0
- training_results/model_20251127_081239.keras +3 -0
- training_results/predictions_20251127_081239.npz +3 -0
- training_results/results_20251127_081239.json +57 -0
- training_results/roc_curves_20251127_081239.png +3 -0
- training_results/threshold_comparison_20251127_081239.csv +21 -0
- training_results/threshold_optimization_20251127_081239.json +199 -0
- training_results/threshold_optimization_20251127_081239.png +3 -0
.gitattributes
CHANGED
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@@ -70,3 +70,7 @@ training_results/threshold_optimization_20251126_214649.png filter=lfs diff=lfs
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checkpoint_epoch_055.keras filter=lfs diff=lfs merge=lfs -text
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checkpoint_epoch_060.keras filter=lfs diff=lfs merge=lfs -text
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checkpoint_epoch_065.keras filter=lfs diff=lfs merge=lfs -text
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checkpoint_epoch_055.keras filter=lfs diff=lfs merge=lfs -text
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checkpoint_epoch_060.keras filter=lfs diff=lfs merge=lfs -text
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checkpoint_epoch_065.keras filter=lfs diff=lfs merge=lfs -text
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training_results/model_20251127_080822.keras filter=lfs diff=lfs merge=lfs -text
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training_results/model_20251127_081239.keras filter=lfs diff=lfs merge=lfs -text
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training_results/roc_curves_20251127_081239.png filter=lfs diff=lfs merge=lfs -text
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| 76 |
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training_results/threshold_optimization_20251127_081239.png filter=lfs diff=lfs merge=lfs -text
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training_results/confusion_matrices_20251127_081239.png
ADDED
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training_results/evaluation_metrics_20251127_081239.csv
ADDED
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@@ -0,0 +1,6 @@
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| 1 |
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Class,Precision,Recall,F1-Score,ROC-AUC,Support
|
| 2 |
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Myocarditis,0.8494117647058823,0.8698795180722891,0.8595238095238096,0.9815042440368004,415
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Cardiomyopathy,0.9444444444444444,0.9622641509433962,0.9532710280373832,0.9987843972886843,53
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Kawasaki,0.7659574468085106,0.5714285714285714,0.6545454545454545,0.9772099907099068,63
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CHD,0.8431734317343174,0.8638941398865785,0.8534080298786181,0.9760095505420755,1058
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Healthy,0.9808714133900106,0.97625,0.9785552503493807,0.9743077709735201,10400
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training_results/metrics_summary_20251127_081239.png
ADDED
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training_results/model_20251127_080822.keras
ADDED
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size 5990753
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training_results/model_20251127_081239.keras
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:edc414f560bddeb882071163070513aa4a08439472c819a1a032d86807a4375e
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size 5990765
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training_results/predictions_20251127_081239.npz
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 959876
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training_results/results_20251127_081239.json
ADDED
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@@ -0,0 +1,57 @@
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{
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"timestamp": "20251127_081239",
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"disease_classes": [
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"Myocarditis",
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"Cardiomyopathy",
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| 6 |
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"Kawasaki",
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| 7 |
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"CHD",
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| 8 |
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"Healthy"
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| 9 |
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],
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"epochs_trained": 24,
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"test_samples": 11989,
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"global_metrics": {
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"micro_f1": 0.9615866388308977,
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"mean_roc_auc": 0.9815631907101974
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},
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"per_class_metrics": {
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"Myocarditis": {
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"precision": 0.8494117647058823,
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"recall": 0.8698795180722891,
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"f1_score": 0.8595238095238096,
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"roc_auc": 0.9815042440368004,
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"support": 415
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"Cardiomyopathy": {
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"precision": 0.9444444444444444,
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"recall": 0.9622641509433962,
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"f1_score": 0.9532710280373832,
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"roc_auc": 0.9987843972886843,
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"support": 53
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},
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| 35 |
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"Kawasaki": {
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| 36 |
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"precision": 0.7659574468085106,
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"recall": 0.5714285714285714,
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"f1_score": 0.6545454545454545,
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"roc_auc": 0.9772099907099068,
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"support": 63
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| 41 |
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},
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| 42 |
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"CHD": {
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| 43 |
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"precision": 0.8431734317343174,
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"recall": 0.8638941398865785,
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"f1_score": 0.8534080298786181,
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"roc_auc": 0.9760095505420755,
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"support": 1058
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| 48 |
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},
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"Healthy": {
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| 50 |
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"precision": 0.9808714133900106,
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"recall": 0.97625,
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"f1_score": 0.9785552503493807,
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"roc_auc": 0.9743077709735201,
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"support": 10400
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}
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}
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training_results/roc_curves_20251127_081239.png
ADDED
|
Git LFS Details
|
training_results/threshold_comparison_20251127_081239.csv
ADDED
|
@@ -0,0 +1,21 @@
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| 1 |
+
Strategy,Class,Threshold,Precision,Recall,F1-Score
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| 2 |
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Baseline (0.5),Myocarditis,0.5,0.8494117647058823,0.8698795180722891,0.8595238095238096
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Baseline (0.5),Cardiomyopathy,0.5,0.9444444444444444,0.9622641509433962,0.9532710280373832
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Baseline (0.5),Kawasaki,0.5,0.7659574468085106,0.5714285714285714,0.6545454545454545
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Baseline (0.5),CHD,0.5,0.8431734317343174,0.8638941398865785,0.8534080298786181
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| 6 |
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Baseline (0.5),Healthy,0.5,0.9808714133900106,0.97625,0.9785552503493807
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| 7 |
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F1-Maximization,Myocarditis,0.8699999999999996,0.9216216216216216,0.8216867469879519,0.8687898089171975
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F1-Maximization,Cardiomyopathy,0.8599999999999995,0.9807692307692307,0.9622641509433962,0.9714285714285714
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F1-Maximization,Kawasaki,0.6799999999999997,0.875,0.5555555555555556,0.6796116504854369
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F1-Maximization,CHD,0.8699999999999996,0.9104320337197049,0.8166351606805293,0.8609865470852018
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F1-Maximization,Healthy,0.1,0.972710103871577,0.9904807692307692,0.9815150071462602
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Youden's J,Myocarditis,0.12,0.7156673114119922,0.891566265060241,0.7939914163090128
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Youden's J,Cardiomyopathy,0.8599999999999995,0.9807692307692307,0.9622641509433962,0.9714285714285714
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Youden's J,Kawasaki,0.15999999999999998,0.6056338028169014,0.6825396825396826,0.6417910447761194
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Youden's J,CHD,0.1,0.6752793296089385,0.9139886578449905,0.7767068273092369
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Youden's J,Healthy,0.7999999999999996,0.9850598595033145,0.9573076923076923,0.9709855171404886
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Recall-Prioritized,Myocarditis,0.8700000000000002,0.9216216216216216,0.8216867469879519,0.8687898089171975
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Recall-Prioritized,Cardiomyopathy,0.8600000000000002,0.9807692307692307,0.9622641509433962,0.9714285714285714
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Recall-Prioritized,Kawasaki,0.05,0.45871559633027525,0.7936507936507936,0.5813953488372093
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Recall-Prioritized,CHD,0.8100000000000002,0.893223819301848,0.8223062381852552,0.8562992125984252
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Recall-Prioritized,Healthy,0.060000000000000005,0.9698563245375152,0.9930769230769231,0.9813292793006794
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training_results/threshold_optimization_20251127_081239.json
ADDED
|
@@ -0,0 +1,199 @@
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| 1 |
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{
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| 2 |
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"timestamp": "20251127_081239",
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"disease_classes": [
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"Myocarditis",
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"Cardiomyopathy",
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"Kawasaki",
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"CHD",
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"Healthy"
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],
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"optimized_thresholds": {
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"f1_max": {
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"CHD": 0.8699999999999996,
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"Healthy": 0.1
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"youden": {
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"CHD": 0.1,
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"Healthy": 0.7999999999999996
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},
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"recall_priority": {
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"Myocarditis": 0.8700000000000002,
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"Cardiomyopathy": 0.8600000000000002,
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"Kawasaki": 0.05,
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"CHD": 0.8100000000000002,
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"Healthy": 0.060000000000000005
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}
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},
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"comparison": {
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"Baseline (0.5)": {
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"global_metrics": {
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"hamming_loss": 0.015347401784969555,
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"exact_match": 0.959713070314455,
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"micro_f1": 0.9615866388308977,
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"macro_f1": 0.8598607144669292
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},
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"per_class_metrics": {
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"Myocarditis": {
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"precision": 0.8494117647058823,
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"recall": 0.8698795180722891,
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"f1": 0.8595238095238096,
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"threshold": 0.5
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"Cardiomyopathy": {
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"precision": 0.9444444444444444,
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"recall": 0.9622641509433962,
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"f1": 0.9532710280373832,
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"threshold": 0.5
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"Kawasaki": {
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"precision": 0.7659574468085106,
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"recall": 0.5714285714285714,
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"f1": 0.6545454545454545,
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|
| 198 |
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|
| 199 |
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}
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training_results/threshold_optimization_20251127_081239.png
ADDED
|
Git LFS Details
|