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Trinity Cognitive Probes - Final Project Summary

Project Status: READY FOR KAGGLE SUBMISSION

📊 DATASETS FINAL

Track Original Cleaned Aggressive Physics Enhanced Total
THLP 2,400 274 274 - 274
TTM 816 33 - 199 199
TAGP 2,200 851 851 - 851
TEFB 2,400 1,512 - - 1,512
TSCP 595 25 - - 25
Total 8,411 2,695 1,125 199 2,861

Files Created

Adversarial Datasets

  • kaggle/data/extra/thlp_mc_adversarial.csv (274 Q)
  • kaggle/data/extra/ttm_physics_mc.csv (199 Q)
  • kaggle/data/tagp_mc_adversarial.csv (851 Q)
  • kaggle/data/extra/tefb_mc_cleaned.csv (1,512 Q)
  • kaggle/data/extra/tscp_mc_cleaned.csv (25 Q)

Scripts

  • scripts/generate_physics_mc.py
  • scripts/enhance_thlp.py
  • scripts/enhance_tagp.py
  • scripts/enhance_tefb.py
  • scripts/enhance_ttm.py
  • scripts/aggressive_adversarial.py
  • scripts/rapid_validation.py
  • scripts/update_all_notebooks_v3.py

Documentation

  • README_ADVERSARIAL.md
  • KAGGLE_SUBMISSION_GUIDE.md
  • GIT_COMMIT.md

Next Steps

  1. Upload adversarial datasets to Kaggle
  2. Update notebooks in Kaggle
  3. Generate predictions
  4. Submit to competition

Expected Performance

  • THLP: 25-40% (adversarial)
  • TTM: 10-25% (physics enhanced)
  • TAGP: 20-35% (aggressive)
  • TEFB: 50-70% (cleaned)
  • TSCP: 60-80% (cleaned)
  • Overall: 2000-2500 score