Heart-Attack-Risk-Rate / PROGRESS_REPORT.md
Kasilanka Bhoopesh Siva Srikar
Complete Heart Attack Risk Prediction App - Ready for Deployment
08123aa

📊 Training Progress Report

Current Status: 🔄 ACTIVE

Last Updated: $(date)

Overall Progress

Model Status Progress Best Score
XGBoost 🔄 In Progress 295/300 trials (98.3%) 0.842463
CatBoost ⏳ Waiting 0/300 trials (0%) -
LightGBM ⏳ Waiting 0/300 trials (0%) -

Current Details

  • Container: Running (Up 6+ hours)
  • CPU Usage: 100% (actively training)
  • Memory: 300MB / 1.8GB (normal)
  • Best Score Found: 0.842463
  • Current Trial: 295/300 for XGBoost

Timeline

XGBoost Optimization:

  • ✅ Started: ~6 hours ago
  • 🔄 Current: Trial 295/300
  • ⏱️ Remaining: ~5-10 minutes
  • 📊 Progress: 98.3% complete

Next Steps:

  1. XGBoost will finish in ~5-10 minutes
  2. CatBoost will start automatically (~2-3 hours)
  3. LightGBM will start after CatBoost (~1-1.5 hours)
  4. Final evaluation and ensemble optimization

Estimated Completion Time

  • XGBoost: ~5-10 minutes remaining
  • CatBoost: ~2-3 hours (after XGBoost completes)
  • LightGBM: ~1-1.5 hours (after CatBoost completes)
  • Final Evaluation: ~15 minutes
  • Total Remaining: ~3.5-5 hours

What's Happening Now

The model is:

  • ✅ Testing hyperparameter combinations
  • ✅ Finding optimal parameters (best score: 0.842463)
  • ✅ Using 100% CPU (actively working)
  • ✅ Almost done with XGBoost (98.3% complete)

Improvements Found

  • Best Score: 0.842463 (improved from initial 0.838024)
  • Best Trial: Trial 224
  • Optimization: Balanced accuracy + recall scoring

Next Check

Run ./check_training.sh to see updated progress!