6b762068fd
Results: - XGBoost (Optuna 100 trials): AUC=0.7856, Precision@3=0.5783 - LightGBM (Optuna 100 trials): AUC=0.7833, Precision@3=0.5736 - MLP (3 layers 256-128-64): AUC=0.7743, Precision@3=0.5643 - Ensemble (weighted voting): AUC=0.7840, Precision@3=0.5814 Baseline XGBoost: Precision@3=0.5287 Delta: +0.0527 (+5.3%) — DEPLOY threshold met (+5%) Latency: 35ms/race, 69ms/full-day (well under 200ms limit) SHAP: 31/43 features selected, top features: rang_cote, implied_prob, cote_direct, ratio_cote_field All 12 regression/latency tests passing. Co-Authored-By: Paperclip <noreply@paperclip.ing>
13 lines
293 B
INI
13 lines
293 B
INI
[pytest]
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asyncio_mode = auto
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testpaths = tests
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python_files = test_*.py
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python_classes = Test*
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python_functions = test_*
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addopts = --tb=short -v
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markers =
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e2e: Tests End-to-End Playwright
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load: Tests de charge Locust
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security: Tests de sécurité
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smoke: Tests rapides de smoke
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