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!