ECG-EdgeBench / baseline_report.json
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Publish ECG-EdgeBench validated task sample
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{
"data": {
"array_sha256": {
"test_features.npz": "2e9f9e6f86e8a2af18fa8713aed2ec18ae0eda2773301d34bc3be560a2c885f5",
"test_labels.npz": "662752bb4c633aeb9133aa06a0e9d5d2cb3180265a3bd8a19f7e7aedb27b898c",
"train.npz": "a22d9070e4b28ecee5310a5898ff126fcee3dd062e4f8fc3d2cab18e3c034ab0"
},
"source_files": 132,
"test_beats": 49692,
"test_class_counts": [
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],
"train_beats": 51002,
"train_class_counts": [
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]
},
"environment": {
"numpy": "1.26.4",
"pandas": "2.2.3",
"scikit_learn": "1.4.2",
"scipy": "1.12.0",
"wfdb": "4.1.2"
},
"experiment": "starter baseline trained on all DS1 beats and evaluated once on hidden DS2 labels",
"qualification_boundary": "One real baseline run proves executability and score headroom, not 12-hour frontier-agent difficulty or official EdgeBench acceptance.",
"result": {
"details": [
{
"message": "shape, dtype and class range valid",
"name": "submission_contract",
"status": "PASSED"
},
{
"message": "predicted 4 classes",
"name": "prediction_diversity",
"status": "PASSED"
},
{
"message": "7.78s <= 600s",
"name": "runtime",
"status": "PASSED"
}
],
"metrics": {
"accuracy_all_beats": 0.669243,
"confusion_nsvf_rows": [
[
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],
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],
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[
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],
"f1_F": 0.077468,
"f1_N": 0.795975,
"f1_S": 0.130196,
"f1_V": 0.515224,
"lower_quartile_record_accuracy": 0.370256,
"macro_f1_nsvf": 0.379716,
"mean_record_macro_f1": 0.332901,
"minority_macro_f1_svf": 0.240963,
"minority_recall_gmean": 0.500682,
"predicted_classes": 4,
"recall_F": 0.902062,
"recall_N": 0.680267,
"recall_S": 0.180729,
"recall_V": 0.769876,
"runtime_seconds": 7.776
},
"pass_rate": 1.0,
"score": 37.1004,
"summary": "score=37.1004; macro-F1=0.3797; minority-F1=0.2410",
"valid": true
},
"status": "PASS"
}