🚀 V6: EXHAUSTIVE HYPERPARAMETER TUNING
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Data: (443, 32, 16, 16), 7 classes, dist=[65, 55, 48, 72, 74, 124, 5]

--- Training Multi-Seed CNN Ensemble ---
  Seed 42: CNN Acc = 0.8989
  Seed 123: CNN Acc = 0.8652
  Seed 777: CNN Acc = 0.8876
  Multi-seed CNN embedding: (443, 1536)
  Total features: (443, 3940)

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🔬 EXHAUSTIVE HYPERPARAMETER SEARCH
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  🏆 XGB-deep: 0.9526 ± 0.0110  (folds: ['0.955', '0.933', '0.966', '0.955', '0.955'])
  ✅ XGB-shallow: 0.9436 ± 0.0173  (folds: ['0.944', '0.910', '0.955', '0.955', '0.955'])
  🏆 XGB-balanced: 0.9504 ± 0.0113  (folds: ['0.944', '0.933', '0.955', '0.955', '0.966'])
  ✅ LGBM-tuned: 0.9458 ± 0.0149  (folds: ['0.955', '0.921', '0.966', '0.943', '0.943'])
  ✅ LGBM-conservative: 0.9481 ± 0.0152  (folds: ['0.944', '0.921', '0.966', '0.955', '0.955'])
  🏆 ETC-deep: 0.9572 ± 0.0082  (folds: ['0.944', '0.955', '0.955', '0.966', '0.966'])
  🏆 RF-tuned: 0.9549 ± 0.0099  (folds: ['0.944', '0.955', '0.944', '0.966', '0.966'])