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Arm (b) hunter over all 252 changes: recall 6/12 raw, 5/12 with the classifier filter; false alarms 92.5 and 54.4 per 100 ordinary pushes. Arm (a) push hook at 163/252: recall 0/12, 0.7 false alarms per 100. Per-positive table, classifier stats, the one hook false alarm, and the disk fix for the replay output. Co-Authored-By: Claude Fable 5.1 <[email protected]>
53 lines
949 B
JSON
53 lines
949 B
JSON
{
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"exploit_verified": {
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"count": 0,
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"flagged_positive_pushes": 0,
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"flagged_positives": 0,
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"n": 0,
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"not_yet_proved": [],
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"rate": null,
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"status": "measured",
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"wilson95": [
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null,
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null
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]
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},
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"false_alarms_per_100_pushes": {
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"cluster95": [
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0.0,
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2.027027027027027
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],
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"count": 1,
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"icc": -0.004445973772031825,
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"n": 149,
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"rate": 0.6711409395973155,
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"wilson95": [
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0.11856820977550406,
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3.703427895996746
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]
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},
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"headline": "On unseen app repos: recall 0.0% (Wilson 0.0-24.3), false alarms 0.7 per 100 pushes, precision 0.0%; exploit-verified 0 of 0.",
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"precision": {
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"count": 0,
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"n": 1,
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"rate": 0.0,
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"wilson95": [
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0,
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0.7934567085261071
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]
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},
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"recall": {
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"cluster95": [
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0.0,
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0.0
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],
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"count": 0,
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"n": 12,
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"rate": 0.0,
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"wilson95": [
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0,
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0.2425007574992425
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]
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}
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}
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