stage-1 / eval_test_metrics.json
RanveerSoni98's picture
Add Stage 1 test evaluation metrics
8439d79 verified
Raw
History Blame Contribute Delete
4.43 kB
{
"overall": {
"accuracy": 0.9209183673469388,
"recall_sensitivity": 0.9455605962410888,
"precision": 0.8821039903264812,
"f1_score": 0.9127306850172037,
"specificity": 0.9017632241813602,
"roc_auc": 0.9814147258032131,
"missed_cancer_rate": 0.05443940375891121,
"tp": 1459,
"fp": 195,
"tn": 1790,
"fn": 84,
"high_recall_threshold": 0.32,
"high_recall_sensitivity": 0.9507453013609851,
"high_recall_specificity": 0.8931989924433249,
"high_recall_precision": 0.8737343656938654,
"high_recall_target_met": true
},
"per_dataset": {
"breast_histopathology_patches": {
"accuracy": 0.8708133971291866,
"recall_sensitivity": 0.8201058201058201,
"precision": 0.7673267326732673,
"f1_score": 0.7928388746803069,
"specificity": 0.8926940639269406,
"roc_auc": 0.9370877727042111,
"missed_cancer_rate": 0.17989417989417988,
"tp": 155,
"fp": 47,
"tn": 391,
"fn": 34,
"high_recall_threshold": 0.09,
"high_recall_sensitivity": 0.9523809523809523,
"high_recall_specificity": 0.7465753424657534,
"high_recall_precision": 0.6185567010309279,
"high_recall_target_met": true
},
"camelyon17_jxie": {
"accuracy": 0.9612403100775194,
"recall_sensitivity": 0.9617021276595744,
"precision": 0.9338842975206612,
"f1_score": 0.9475890985324947,
"specificity": 0.9609756097560975,
"roc_auc": 0.9960145303580695,
"missed_cancer_rate": 0.03829787234042553,
"tp": 226,
"fp": 16,
"tn": 394,
"fn": 9,
"high_recall_threshold": 0.54,
"high_recall_sensitivity": 0.9531914893617022,
"high_recall_specificity": 0.9804878048780488,
"high_recall_precision": 0.9655172413793104,
"high_recall_target_met": true
},
"lc25000": {
"accuracy": 0.9934426229508196,
"recall_sensitivity": 0.989159891598916,
"precision": 1.0,
"f1_score": 0.9945504087193461,
"specificity": 1.0,
"roc_auc": 0.9978634641118196,
"missed_cancer_rate": 0.01084010840108401,
"tp": 365,
"fp": 0,
"tn": 241,
"fn": 4,
"high_recall_threshold": 0.99,
"high_recall_sensitivity": 0.975609756097561,
"high_recall_specificity": 1.0,
"high_recall_precision": 1.0,
"high_recall_target_met": true
},
"camelyon17_djghosh": {
"accuracy": 0.9875,
"recall_sensitivity": 0.9822064056939501,
"precision": 0.9928057553956835,
"f1_score": 0.9874776386404294,
"specificity": 0.992831541218638,
"roc_auc": 0.9987499840559191,
"missed_cancer_rate": 0.017793594306049824,
"tp": 276,
"fp": 2,
"tn": 277,
"fn": 5,
"high_recall_threshold": 0.94,
"high_recall_sensitivity": 0.9501779359430605,
"high_recall_specificity": 0.996415770609319,
"high_recall_precision": 0.996268656716418,
"high_recall_target_met": true
},
"skin_lesion_hm10000_binary_2k": {
"accuracy": 0.8103448275862069,
"recall_sensitivity": 0.925531914893617,
"precision": 0.6718146718146718,
"f1_score": 0.7785234899328859,
"specificity": 0.7455089820359282,
"roc_auc": 0.9201012867881259,
"missed_cancer_rate": 0.07446808510638298,
"tp": 174,
"fp": 85,
"tn": 249,
"fn": 14,
"high_recall_threshold": 0.19,
"high_recall_sensitivity": 0.9521276595744681,
"high_recall_specificity": 0.6586826347305389,
"high_recall_precision": 0.6109215017064846,
"high_recall_target_met": true
},
"patch_camelyon": {
"accuracy": 0.8882978723404256,
"recall_sensitivity": 0.9359430604982206,
"precision": 0.8538961038961039,
"f1_score": 0.8930390492359932,
"specificity": 0.8409893992932862,
"roc_auc": 0.9655571344139431,
"missed_cancer_rate": 0.06405693950177936,
"tp": 263,
"fp": 45,
"tn": 238,
"fn": 18,
"high_recall_threshold": 0.21,
"high_recall_sensitivity": 0.9501779359430605,
"high_recall_specificity": 0.7879858657243817,
"high_recall_precision": 0.8165137614678899,
"high_recall_target_met": true
}
},
"threshold": 0.35,
"split": "test"
}