ChisDong commited on
Commit
b3d6a66
·
verified ·
1 Parent(s): 57f2d0f

Upload cw_risk_ucfedavg/rounds/round_13/hospital_NVIDIA_round_13_metadata.json with huggingface_hub

Browse files
cw_risk_ucfedavg/rounds/round_13/hospital_NVIDIA_round_13_metadata.json ADDED
@@ -0,0 +1,144 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "client_id": "hospital_NVIDIA",
3
+ "client_repo": "ChisDong/Client_NVIDIA_IID",
4
+ "scenario": "clientiid",
5
+ "round": 13,
6
+ "status": "completed",
7
+ "method": "CW-Risk-UCFedAvg",
8
+ "local_training_method": "FedAvg",
9
+ "aggregation_method": "CW-Risk-UCFedAvg",
10
+ "fedprox_mu": 0.01,
11
+ "experiment_folder": "cw_risk_ucfedavg",
12
+ "train_samples": 2283,
13
+ "val_samples": 384,
14
+ "samples": 2283,
15
+ "class_counts": {
16
+ "nv": 1515,
17
+ "mel": 266,
18
+ "bkl": 240,
19
+ "bcc": 128,
20
+ "akiec": 73,
21
+ "vasc": 36,
22
+ "df": 25
23
+ },
24
+ "rare_class_ratio": 0.23127463863337713,
25
+ "rare_classes": [
26
+ "mel",
27
+ "bcc",
28
+ "akiec",
29
+ "vasc",
30
+ "df"
31
+ ],
32
+ "per_class_conformal": {
33
+ "nv": {
34
+ "count": 274,
35
+ "coverage": 0.9635036496350365,
36
+ "coverage_quality": 0.9364963503649635,
37
+ "avg_prediction_set_size": 1.2481751824817517,
38
+ "conformal_efficiency": 0.8011695906432749,
39
+ "mean_nonconformity": 0.1386231929063797,
40
+ "precision": 0.9583333333333334,
41
+ "recall": 0.9233576642335767,
42
+ "f1": 0.9405204460966543,
43
+ "support": 274
44
+ },
45
+ "mel": {
46
+ "count": 30,
47
+ "coverage": 0.7,
48
+ "coverage_quality": 0.7999999999999999,
49
+ "avg_prediction_set_size": 1.7,
50
+ "conformal_efficiency": 0.5882352941176471,
51
+ "mean_nonconformity": 0.4762796461582184,
52
+ "precision": 0.4,
53
+ "recall": 0.6,
54
+ "f1": 0.48,
55
+ "support": 30
56
+ },
57
+ "bkl": {
58
+ "count": 47,
59
+ "coverage": 0.7872340425531915,
60
+ "coverage_quality": 0.8872340425531915,
61
+ "avg_prediction_set_size": 1.4042553191489362,
62
+ "conformal_efficiency": 0.7121212121212122,
63
+ "mean_nonconformity": 0.3908923864364624,
64
+ "precision": 0.775,
65
+ "recall": 0.6595744680851063,
66
+ "f1": 0.7126436781609196,
67
+ "support": 47
68
+ },
69
+ "bcc": {
70
+ "count": 16,
71
+ "coverage": 0.8125,
72
+ "coverage_quality": 0.9125,
73
+ "avg_prediction_set_size": 1.375,
74
+ "conformal_efficiency": 0.7272727272727273,
75
+ "mean_nonconformity": 0.31508415937423706,
76
+ "precision": 0.6666666666666666,
77
+ "recall": 0.75,
78
+ "f1": 0.7058823529411765,
79
+ "support": 16
80
+ },
81
+ "akiec": {
82
+ "count": 7,
83
+ "coverage": 0.5714285714285714,
84
+ "coverage_quality": 0.6714285714285714,
85
+ "avg_prediction_set_size": 1.8571428571428572,
86
+ "conformal_efficiency": 0.5384615384615384,
87
+ "mean_nonconformity": 0.5324944853782654,
88
+ "precision": 0.3333333333333333,
89
+ "recall": 0.5714285714285714,
90
+ "f1": 0.4210526315789474,
91
+ "support": 7
92
+ },
93
+ "vasc": {
94
+ "count": 7,
95
+ "coverage": 0.7142857142857143,
96
+ "coverage_quality": 0.8142857142857143,
97
+ "avg_prediction_set_size": 1.4285714285714286,
98
+ "conformal_efficiency": 0.7,
99
+ "mean_nonconformity": 0.49655675888061523,
100
+ "precision": 0.75,
101
+ "recall": 0.42857142857142855,
102
+ "f1": 0.5454545454545454,
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": 0.7255375385284424,
112
+ "precision": 1.0,
113
+ "recall": 0.3333333333333333,
114
+ "f1": 0.5,
115
+ "support": 3
116
+ }
117
+ },
118
+ "local_epochs": 1,
119
+ "base_global_model": "cw_risk_ucfedavg/global_model_round_13.safetensors",
120
+ "created_at": "2026-05-31T10:02:22.550456",
121
+ "train_loss": 0.5179313669602076,
122
+ "train_accuracy": 0.8335523434077967,
123
+ "train_sensitivity_macro": 0.7811743363831953,
124
+ "train_specificity_macro": 0.9668019548352592,
125
+ "train_precision_macro": 0.7336251820576773,
126
+ "train_f1_macro": 0.752829555645521,
127
+ "train_auc_macro_ovr": 0.9762736526841733,
128
+ "val_loss": 0.5287199428421445,
129
+ "val_accuracy": 0.8385416666666666,
130
+ "val_sensitivity_macro": 0.6094664950931452,
131
+ "val_specificity_macro": 0.9652636507477338,
132
+ "val_precision_macro": 0.6976190476190476,
133
+ "val_f1_macro": 0.615079093461749,
134
+ "val_auc_macro_ovr": 0.9577113051324276,
135
+ "conformal_available": true,
136
+ "conformal_alpha": 0.1,
137
+ "conformal_q_hat": 0.8427022695541382,
138
+ "conformal_coverage": 0.8984375,
139
+ "conformal_avg_prediction_set_size": 1.328125,
140
+ "conformal_mean_nonconformity": 0.22152185440063477,
141
+ "conformal_f1_macro": 0.615079093461749,
142
+ "conformal_auc_macro": 0.9577113051324276,
143
+ "delta_file": "hospital_NVIDIA_round_13_delta.safetensors"
144
+ }