File size: 1,511 Bytes
cd6f0c7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 | {
"model": "Johnyquest7/ML-Inter_thyroid",
"architecture": "microsoft/swinv2-base-patch4-window8-256",
"parameters": "86.9M",
"evaluation_date": "2026-05-05",
"dataset": "BTX24/thyroid-cancer-classification-ultrasound-dataset",
"test_split": "stratified 20% hold-out (499 samples)",
"class_mapping": {"0": "benign", "1": "malignant"},
"confusion_matrix": {
"predicted_benign": {"true_benign": 304, "true_malignant": 12},
"predicted_malignant": {"true_benign": 6, "true_malignant": 177}
},
"metrics": {
"accuracy": 0.9639,
"auc_roc": 0.9871,
"sensitivity": 0.9365,
"specificity": 0.9806,
"ppv": 0.9672,
"npv": 0.9620,
"f1_weighted": 0.9638,
"f1_macro": 0.9636,
"precision_weighted": 0.9640,
"recall_weighted": 0.9639,
"precision_macro": 0.9643,
"recall_macro": 0.9586
},
"per_class": {
"benign": {"precision": 0.9620, "recall": 0.9806, "f1": 0.9712},
"malignant": {"precision": 0.9672, "recall": 0.9365, "f1": 0.9516}
},
"n_samples": {
"total": 499,
"benign": 310,
"malignant": 189
},
"clinical_interpretation": {
"sensitivity_93.7%": "Of 189 malignant nodules, 177 were correctly identified (12 false negatives)",
"specificity_98.1%": "Of 310 benign nodules, 304 were correctly identified (6 false positives)",
"ppv_96.7%": "Of 183 nodules flagged as malignant, 177 were actually malignant",
"npv_96.2%": "Of 316 nodules flagged as benign, 304 were actually benign"
}
}
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