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fix: diversify low confidence recommendation scores
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wooo
2026-06-18 15:57:10 +08:00
parent 8520ea3c3e
commit da4a889e14
1 changed files with 8 additions and 1 deletions
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9
platform/backend/app/analytics/daily_card_generator.py
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@@ -416,7 +416,8 @@ def _finalize_confidence_score(
adjusted += _clamp((true_prob - 0.56) * 10.0, -2.5, 3.0)
adjusted += _clamp((ev_percent - 3.0) * 0.10, -1.2, 2.6)
adjusted += _clamp((edge_percent - 2.0) * 0.08, -1.0, 2.4)
adjusted += _stable_confidence_jitter(match_id, market_type, selection, recommendation, target_odds)
confidence_jitter = _stable_confidence_jitter(match_id, market_type, selection, recommendation, target_odds)
adjusted += confidence_jitter
if market_tier in {'exact_score', 'speculative', 'sgp'} or risk_level in {'speculative', 'sgp'}:
floor = 12.0
@@ -449,6 +450,12 @@ def _finalize_confidence_score(
if ceiling < floor:
floor = max(8.0, ceiling - 8.0)
if adjusted <= floor:
floor_lift = (confidence_jitter + 2.4) * 0.55
floor_lift += _clamp((true_prob - 0.10) * 3.0, 0.0, 1.8)
floor_lift += _clamp(ev_percent * 0.035, 0.0, 1.4)
adjusted = floor + floor_lift
return round(_clamp(adjusted, floor, ceiling), 1)