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  # V38.2 Admission Prediction Model - Bare Model Training (v3 Cleaned)
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- Compares V38.2 (116 integrated features, cleaned) against V37.3 baseline (85 features, AUC 0.8697).
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-
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- ## Architecture
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- - CatBoost + LightGBM + XGBoost 3-model blend
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- - 5-seed x 10-fold GroupKFold ensemble
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- - Temporal validation: 2020-2023 → 2024
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- - Feature group ablation analysis
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-
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- ## Features (116 total, v3 cleaned data)
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- - Original base features (19 cols)
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- - Activity Type PCA (20 dims) + Counts (28 types) + meta (2)
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- - BERT Embeddings PCA (16 dims)
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- - Honors Quality Scores by Grok 4.2 (9 dims)
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- - Taste University Preferences (12 dims)
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- - Cuilu High School Feeder Metrics (10 dims)
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- - LLM features (activity scores, supp quality, PS scores)
 
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  ---
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  # V38.2 Admission Prediction Model - Bare Model Training (v3 Cleaned)