Upload cw_risk_ucfedavg/latest/metadata.json with huggingface_hub
Browse files
cw_risk_ucfedavg/latest/metadata.json
CHANGED
|
@@ -2,7 +2,7 @@
|
|
| 2 |
"client_id": "hospital_NVIDIA",
|
| 3 |
"client_repo": "ChisDong/Client_NVIDIA_IID",
|
| 4 |
"scenario": "clientiid",
|
| 5 |
-
"round":
|
| 6 |
"status": "completed",
|
| 7 |
"method": "CW-Risk-UCFedAvg",
|
| 8 |
"local_training_method": "FedAvg",
|
|
@@ -32,50 +32,50 @@
|
|
| 32 |
"per_class_conformal": {
|
| 33 |
"nv": {
|
| 34 |
"count": 274,
|
| 35 |
-
"coverage": 0.
|
| 36 |
-
"coverage_quality": 0.
|
| 37 |
-
"avg_prediction_set_size": 1.
|
| 38 |
-
"conformal_efficiency": 0.
|
| 39 |
-
"mean_nonconformity": 0.
|
| 40 |
-
"precision": 0.
|
| 41 |
-
"recall": 0.
|
| 42 |
-
"f1": 0.
|
| 43 |
"support": 274
|
| 44 |
},
|
| 45 |
"mel": {
|
| 46 |
"count": 30,
|
| 47 |
"coverage": 0.7666666666666667,
|
| 48 |
"coverage_quality": 0.8666666666666667,
|
| 49 |
-
"avg_prediction_set_size": 1.
|
| 50 |
-
"conformal_efficiency": 0.
|
| 51 |
-
"mean_nonconformity": 0.
|
| 52 |
-
"precision": 0.
|
| 53 |
-
"recall": 0.
|
| 54 |
-
"f1": 0.
|
| 55 |
"support": 30
|
| 56 |
},
|
| 57 |
"bkl": {
|
| 58 |
"count": 47,
|
| 59 |
-
"coverage": 0.
|
| 60 |
-
"coverage_quality": 0.
|
| 61 |
-
"avg_prediction_set_size": 1.
|
| 62 |
-
"conformal_efficiency": 0.
|
| 63 |
-
"mean_nonconformity": 0.
|
| 64 |
-
"precision": 0.
|
| 65 |
-
"recall": 0.
|
| 66 |
-
"f1": 0.
|
| 67 |
"support": 47
|
| 68 |
},
|
| 69 |
"bcc": {
|
| 70 |
"count": 16,
|
| 71 |
-
"coverage": 0.
|
| 72 |
-
"coverage_quality": 0.
|
| 73 |
-
"avg_prediction_set_size": 1.
|
| 74 |
-
"conformal_efficiency": 0.
|
| 75 |
-
"mean_nonconformity": 0.
|
| 76 |
-
"precision": 0.
|
| 77 |
-
"recall": 0.
|
| 78 |
-
"f1": 0.
|
| 79 |
"support": 16
|
| 80 |
},
|
| 81 |
"akiec": {
|
|
@@ -84,31 +84,31 @@
|
|
| 84 |
"coverage_quality": 0.6714285714285714,
|
| 85 |
"avg_prediction_set_size": 1.4285714285714286,
|
| 86 |
"conformal_efficiency": 0.7,
|
| 87 |
-
"mean_nonconformity": 0.
|
| 88 |
-
"precision": 0.
|
| 89 |
"recall": 0.42857142857142855,
|
| 90 |
-
"f1": 0.
|
| 91 |
"support": 7
|
| 92 |
},
|
| 93 |
"vasc": {
|
| 94 |
"count": 7,
|
| 95 |
-
"coverage": 0.
|
| 96 |
-
"coverage_quality": 0.
|
| 97 |
-
"avg_prediction_set_size": 1.
|
| 98 |
-
"conformal_efficiency": 0.
|
| 99 |
-
"mean_nonconformity": 0.
|
| 100 |
-
"precision": 0.
|
| 101 |
-
"recall": 0.
|
| 102 |
-
"f1": 0.
|
| 103 |
"support": 7
|
| 104 |
},
|
| 105 |
"df": {
|
| 106 |
"count": 3,
|
| 107 |
"coverage": 0.3333333333333333,
|
| 108 |
"coverage_quality": 0.43333333333333335,
|
| 109 |
-
"avg_prediction_set_size":
|
| 110 |
-
"conformal_efficiency": 0.
|
| 111 |
-
"mean_nonconformity": 0.
|
| 112 |
"precision": 1.0,
|
| 113 |
"recall": 0.3333333333333333,
|
| 114 |
"f1": 0.5,
|
|
@@ -116,29 +116,29 @@
|
|
| 116 |
}
|
| 117 |
},
|
| 118 |
"local_epochs": 1,
|
| 119 |
-
"base_global_model": "cw_risk_ucfedavg/
|
| 120 |
-
"created_at": "2026-05-31T10:
|
| 121 |
-
"train_loss": 0.
|
| 122 |
-
"train_accuracy": 0.
|
| 123 |
-
"train_sensitivity_macro": 0.
|
| 124 |
-
"train_specificity_macro": 0.
|
| 125 |
-
"train_precision_macro": 0.
|
| 126 |
-
"train_f1_macro": 0.
|
| 127 |
-
"train_auc_macro_ovr": 0.
|
| 128 |
-
"val_loss": 0.
|
| 129 |
-
"val_accuracy": 0.
|
| 130 |
-
"val_sensitivity_macro": 0.
|
| 131 |
-
"val_specificity_macro": 0.
|
| 132 |
-
"val_precision_macro": 0.
|
| 133 |
-
"val_f1_macro": 0.
|
| 134 |
-
"val_auc_macro_ovr": 0.
|
| 135 |
"conformal_available": true,
|
| 136 |
"conformal_alpha": 0.1,
|
| 137 |
-
"conformal_q_hat": 0.
|
| 138 |
"conformal_coverage": 0.8984375,
|
| 139 |
-
"conformal_avg_prediction_set_size": 1.
|
| 140 |
-
"conformal_mean_nonconformity": 0.
|
| 141 |
-
"conformal_f1_macro": 0.
|
| 142 |
-
"conformal_auc_macro": 0.
|
| 143 |
-
"delta_file": "
|
| 144 |
}
|
|
|
|
| 2 |
"client_id": "hospital_NVIDIA",
|
| 3 |
"client_repo": "ChisDong/Client_NVIDIA_IID",
|
| 4 |
"scenario": "clientiid",
|
| 5 |
+
"round": 18,
|
| 6 |
"status": "completed",
|
| 7 |
"method": "CW-Risk-UCFedAvg",
|
| 8 |
"local_training_method": "FedAvg",
|
|
|
|
| 32 |
"per_class_conformal": {
|
| 33 |
"nv": {
|
| 34 |
"count": 274,
|
| 35 |
+
"coverage": 0.9671532846715328,
|
| 36 |
+
"coverage_quality": 0.9328467153284672,
|
| 37 |
+
"avg_prediction_set_size": 1.1715328467153285,
|
| 38 |
+
"conformal_efficiency": 0.8535825545171339,
|
| 39 |
+
"mean_nonconformity": 0.13400840759277344,
|
| 40 |
+
"precision": 0.9545454545454546,
|
| 41 |
+
"recall": 0.9197080291970803,
|
| 42 |
+
"f1": 0.9368029739776952,
|
| 43 |
"support": 274
|
| 44 |
},
|
| 45 |
"mel": {
|
| 46 |
"count": 30,
|
| 47 |
"coverage": 0.7666666666666667,
|
| 48 |
"coverage_quality": 0.8666666666666667,
|
| 49 |
+
"avg_prediction_set_size": 1.5333333333333334,
|
| 50 |
+
"conformal_efficiency": 0.6521739130434783,
|
| 51 |
+
"mean_nonconformity": 0.45849037170410156,
|
| 52 |
+
"precision": 0.4186046511627907,
|
| 53 |
+
"recall": 0.6,
|
| 54 |
+
"f1": 0.49315068493150693,
|
| 55 |
"support": 30
|
| 56 |
},
|
| 57 |
"bkl": {
|
| 58 |
"count": 47,
|
| 59 |
+
"coverage": 0.723404255319149,
|
| 60 |
+
"coverage_quality": 0.823404255319149,
|
| 61 |
+
"avg_prediction_set_size": 1.3829787234042554,
|
| 62 |
+
"conformal_efficiency": 0.7230769230769231,
|
| 63 |
+
"mean_nonconformity": 0.4416079819202423,
|
| 64 |
+
"precision": 0.8333333333333334,
|
| 65 |
+
"recall": 0.6382978723404256,
|
| 66 |
+
"f1": 0.7228915662650603,
|
| 67 |
"support": 47
|
| 68 |
},
|
| 69 |
"bcc": {
|
| 70 |
"count": 16,
|
| 71 |
+
"coverage": 0.875,
|
| 72 |
+
"coverage_quality": 0.975,
|
| 73 |
+
"avg_prediction_set_size": 1.1875,
|
| 74 |
+
"conformal_efficiency": 0.8421052631578947,
|
| 75 |
+
"mean_nonconformity": 0.24982374906539917,
|
| 76 |
+
"precision": 0.6363636363636364,
|
| 77 |
+
"recall": 0.875,
|
| 78 |
+
"f1": 0.7368421052631579,
|
| 79 |
"support": 16
|
| 80 |
},
|
| 81 |
"akiec": {
|
|
|
|
| 84 |
"coverage_quality": 0.6714285714285714,
|
| 85 |
"avg_prediction_set_size": 1.4285714285714286,
|
| 86 |
"conformal_efficiency": 0.7,
|
| 87 |
+
"mean_nonconformity": 0.5418412089347839,
|
| 88 |
+
"precision": 0.2727272727272727,
|
| 89 |
"recall": 0.42857142857142855,
|
| 90 |
+
"f1": 0.33333333333333326,
|
| 91 |
"support": 7
|
| 92 |
},
|
| 93 |
"vasc": {
|
| 94 |
"count": 7,
|
| 95 |
+
"coverage": 0.5714285714285714,
|
| 96 |
+
"coverage_quality": 0.6714285714285714,
|
| 97 |
+
"avg_prediction_set_size": 1.1428571428571428,
|
| 98 |
+
"conformal_efficiency": 0.875,
|
| 99 |
+
"mean_nonconformity": 0.4601564109325409,
|
| 100 |
+
"precision": 0.5714285714285714,
|
| 101 |
+
"recall": 0.5714285714285714,
|
| 102 |
+
"f1": 0.5714285714285714,
|
| 103 |
"support": 7
|
| 104 |
},
|
| 105 |
"df": {
|
| 106 |
"count": 3,
|
| 107 |
"coverage": 0.3333333333333333,
|
| 108 |
"coverage_quality": 0.43333333333333335,
|
| 109 |
+
"avg_prediction_set_size": 2.0,
|
| 110 |
+
"conformal_efficiency": 0.5,
|
| 111 |
+
"mean_nonconformity": 0.7162724137306213,
|
| 112 |
"precision": 1.0,
|
| 113 |
"recall": 0.3333333333333333,
|
| 114 |
"f1": 0.5,
|
|
|
|
| 116 |
}
|
| 117 |
},
|
| 118 |
"local_epochs": 1,
|
| 119 |
+
"base_global_model": "cw_risk_ucfedavg/global_model_round_18.safetensors",
|
| 120 |
+
"created_at": "2026-05-31T10:16:04.068874",
|
| 121 |
+
"train_loss": 0.4250126354810264,
|
| 122 |
+
"train_accuracy": 0.859395532194481,
|
| 123 |
+
"train_sensitivity_macro": 0.8531616022290214,
|
| 124 |
+
"train_specificity_macro": 0.9726040420308654,
|
| 125 |
+
"train_precision_macro": 0.7823238476266268,
|
| 126 |
+
"train_f1_macro": 0.8133536550394443,
|
| 127 |
+
"train_auc_macro_ovr": 0.9826066814268517,
|
| 128 |
+
"val_loss": 0.5644554621928061,
|
| 129 |
+
"val_accuracy": 0.8385416666666666,
|
| 130 |
+
"val_sensitivity_macro": 0.6237627478386913,
|
| 131 |
+
"val_specificity_macro": 0.9645095169160276,
|
| 132 |
+
"val_precision_macro": 0.6695718456515799,
|
| 133 |
+
"val_f1_macro": 0.6134927478856179,
|
| 134 |
+
"val_auc_macro_ovr": 0.954606298920658,
|
| 135 |
"conformal_available": true,
|
| 136 |
"conformal_alpha": 0.1,
|
| 137 |
+
"conformal_q_hat": 0.807902455329895,
|
| 138 |
"conformal_coverage": 0.8984375,
|
| 139 |
+
"conformal_avg_prediction_set_size": 1.2369791666666667,
|
| 140 |
+
"conformal_mean_nonconformity": 0.219761922955513,
|
| 141 |
+
"conformal_f1_macro": 0.6134927478856179,
|
| 142 |
+
"conformal_auc_macro": 0.954606298920658,
|
| 143 |
+
"delta_file": "hospital_NVIDIA_round_18_delta.safetensors"
|
| 144 |
}
|