Upload thyroid_metrics.json
Browse files- thyroid_metrics.json +47 -0
thyroid_metrics.json
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{
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"model": "Johnyquest7/ML-Inter_thyroid",
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"architecture": "microsoft/swinv2-base-patch4-window8-256",
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"parameters": "86.9M",
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"evaluation_date": "2026-05-05",
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"dataset": "BTX24/thyroid-cancer-classification-ultrasound-dataset",
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"test_split": "stratified 20% hold-out (499 samples)",
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"class_mapping": {"0": "benign", "1": "malignant"},
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"confusion_matrix": {
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"predicted_benign": {"true_benign": 304, "true_malignant": 12},
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"predicted_malignant": {"true_benign": 6, "true_malignant": 177}
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},
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"metrics": {
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"accuracy": 0.9639,
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"auc_roc": 0.9871,
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"sensitivity": 0.9365,
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"specificity": 0.9806,
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"ppv": 0.9672,
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"npv": 0.9620,
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"f1_weighted": 0.9638,
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"f1_macro": 0.9636,
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"precision_weighted": 0.9640,
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"recall_weighted": 0.9639,
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"precision_macro": 0.9643,
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"recall_macro": 0.9586
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},
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"per_class": {
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"benign": {"precision": 0.9620, "recall": 0.9806, "f1": 0.9712},
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"malignant": {"precision": 0.9672, "recall": 0.9365, "f1": 0.9516}
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},
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"n_samples": {
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"total": 499,
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"benign": 310,
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"malignant": 189
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},
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"clinical_interpretation": {
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"sensitivity_93.7%": "Of 189 malignant nodules, 177 were correctly identified (12 false negatives)",
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"specificity_98.1%": "Of 310 benign nodules, 304 were correctly identified (6 false positives)",
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"ppv_96.7%": "Of 183 nodules flagged as malignant, 177 were actually malignant",
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"npv_96.2%": "Of 316 nodules flagged as benign, 304 were actually benign"
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}
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}
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