πŸš€ CHIαΊΎN LΖ―α»’C V2: TOΓ€N DIỆN ĐẠT >95% ============================================================ Clean data: (652, 24, 16, 16), 7 classes ============================================================ CNN + TTA (Test-Time Augmentation) ============================================================ Ep 1 Loss=1.6500 TTA-Acc=0.1450 🌟 Ep 2 Loss=1.4633 TTA-Acc=0.3511 🌟 Ep 3 Loss=1.3316 TTA-Acc=0.6336 🌟 Ep 4 Loss=1.2101 TTA-Acc=0.7252 🌟 Ep 6 Loss=1.2056 TTA-Acc=0.8015 🌟 Ep 13 Loss=1.1216 TTA-Acc=0.8244 🌟 Ep 23 Loss=0.9355 TTA-Acc=0.8321 🌟 Ep 30 Loss=0.9346 TTA-Acc=0.8092 (pat=7) Ep 60 Loss=0.9658 TTA-Acc=0.7634 (pat=37) Ep 69 Loss=0.8988 TTA-Acc=0.8397 🌟 Ep 74 Loss=0.9159 TTA-Acc=0.8550 🌟 Ep 90 Loss=0.8761 TTA-Acc=0.8168 (pat=16) Ep 120 Loss=0.9473 TTA-Acc=0.8092 (pat=46) Ep 139 Loss=0.9317 TTA-Acc=0.8626 🌟 Ep 150 Loss=0.7716 TTA-Acc=0.8397 (pat=11) Ep 175 Loss=0.7432 TTA-Acc=0.8702 🌟 Ep 180 Loss=0.8290 TTA-Acc=0.8702 (pat=5) Ep 210 Loss=0.8060 TTA-Acc=0.8626 (pat=35) Ep 240 Loss=0.6980 TTA-Acc=0.8473 (pat=65) Early stop ep 255 βœ… CNN+TTA best: 0.8702 ============================================================ RICH FEATURES V2 + ENSEMBLE ============================================================ Extracted 1713 features per sample XGB: 0.7557 LGBM: 0.7634 ET: 0.7481 RF: 0.7557 Voting: 0.7634 5-Fold CV: Fold 1: 0.7557 Fold 2: 0.7939 Fold 3: 0.7769 Fold 4: 0.8308 Fold 5: 0.8000 CV: 0.7915 Β± 0.0249 ============================================================ HYBRID V2: CNN embed + Rich features + XGBoost ============================================================ Extracted 1713 features per sample Combined: (652, 2097) βœ… Hybrid V2: 0.8244 CV: 0.9142 Β± 0.0194 ============================================================ πŸ“Š KαΊΎT QUαΊ’ Tα»”NG Hα»’P V2 ============================================================ βœ… Hybrid CV: 0.9142 πŸ“ˆ CNN+TTA: 0.8702 πŸ“ˆ Hybrid V2: 0.8244 πŸ“ˆ Ens CV: 0.7915 πŸ“ˆ Ens_LGBM: 0.7634 πŸ“ˆ Ens_Vote: 0.7634 πŸ“ˆ Ens_XGB: 0.7557 πŸ“ˆ Ens_RF: 0.7557 πŸ“ˆ Ens_ET: 0.7481 πŸ† BEST: Hybrid CV = 0.9142