MFE admission prediction — GPBoost model (AUC 0.723) on 12,800+ records, 29 programs, 930 LinkedIn profiles. Pure data-driven, no manual tuning.
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Updated
Apr 3, 2026 - Python
MFE admission prediction — GPBoost model (AUC 0.723) on 12,800+ records, 29 programs, 930 LinkedIn profiles. Pure data-driven, no manual tuning.
MFE/MAE analysis of Take Profit placement — measures distance between TP and actual market favorable excursion
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