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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:
- XGBoost will finish in ~5-10 minutes
- CatBoost will start automatically (~2-3 hours)
- LightGBM will start after CatBoost (~1-1.5 hours)
- 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!