refactor: reorganize project structure by moving core modules and update import paths in API server
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🚀 CHIẾN LƯỢC V2: TOÀN DIỆN ĐẠT >95%
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============================================================
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Clean data: (652, 24, 16, 16), 7 classes
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CNN + TTA (Test-Time Augmentation)
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Ep 1 Loss=1.6500 TTA-Acc=0.1450 🌟
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Ep 2 Loss=1.4633 TTA-Acc=0.3511 🌟
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Ep 3 Loss=1.3316 TTA-Acc=0.6336 🌟
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Ep 4 Loss=1.2101 TTA-Acc=0.7252 🌟
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Ep 6 Loss=1.2056 TTA-Acc=0.8015 🌟
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Ep 13 Loss=1.1216 TTA-Acc=0.8244 🌟
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Ep 23 Loss=0.9355 TTA-Acc=0.8321 🌟
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Ep 30 Loss=0.9346 TTA-Acc=0.8092 (pat=7)
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Ep 60 Loss=0.9658 TTA-Acc=0.7634 (pat=37)
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Ep 69 Loss=0.8988 TTA-Acc=0.8397 🌟
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Ep 74 Loss=0.9159 TTA-Acc=0.8550 🌟
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Ep 90 Loss=0.8761 TTA-Acc=0.8168 (pat=16)
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Ep 120 Loss=0.9473 TTA-Acc=0.8092 (pat=46)
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Ep 139 Loss=0.9317 TTA-Acc=0.8626 🌟
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Ep 150 Loss=0.7716 TTA-Acc=0.8397 (pat=11)
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Ep 175 Loss=0.7432 TTA-Acc=0.8702 🌟
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Ep 180 Loss=0.8290 TTA-Acc=0.8702 (pat=5)
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Ep 210 Loss=0.8060 TTA-Acc=0.8626 (pat=35)
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Ep 240 Loss=0.6980 TTA-Acc=0.8473 (pat=65)
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Early stop ep 255
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✅ CNN+TTA best: 0.8702
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============================================================
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RICH FEATURES V2 + ENSEMBLE
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Extracted 1713 features per sample
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XGB: 0.7557
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LGBM: 0.7634
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ET: 0.7481
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RF: 0.7557
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Voting: 0.7634
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5-Fold CV:
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Fold 1: 0.7557
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Fold 2: 0.7939
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Fold 3: 0.7769
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Fold 4: 0.8308
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Fold 5: 0.8000
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CV: 0.7915 ± 0.0249
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============================================================
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HYBRID V2: CNN embed + Rich features + XGBoost
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============================================================
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Extracted 1713 features per sample
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Combined: (652, 2097)
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✅ Hybrid V2: 0.8244
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CV: 0.9142 ± 0.0194
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============================================================
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📊 KẾT QUẢ TỔNG HỢP V2
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============================================================
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✅ Hybrid CV: 0.9142
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📈 CNN+TTA: 0.8702
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📈 Hybrid V2: 0.8244
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📈 Ens CV: 0.7915
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📈 Ens_LGBM: 0.7634
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📈 Ens_Vote: 0.7634
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📈 Ens_XGB: 0.7557
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📈 Ens_RF: 0.7557
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📈 Ens_ET: 0.7481
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🏆 BEST: Hybrid CV = 0.9142
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