
TEMPERATURE PREDICTION MODEL - SUMMARY REPORT
Generated on: 2025-09-28 00:11:08
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DATASET INFORMATION:
- Total records processed: 947,590
- Training samples: 663,313
- Validation samples: 94,759
- Test samples: 189,518
- Features used: 8

FEATURES:
temperature, line_current, pressure, humidity, distance, hour, day_of_year, month

MODEL ARCHITECTURE:
- Input size: 8
- Hidden layers: [256, 128, 64]
- Output size: 2 (linetemp, linetemp_ntc)
- Total parameters: 179,138

TEST SET PERFORMANCE:
linetemp:
  - RMSE: 0.593540
  - MAE: 0.432235
  - R²: 0.996563

linetemp_ntc:
  - RMSE: 0.537349
  - MAE: 0.394614
  - R²: 0.997093

FILES GENERATED:
- model_analysis.png: Comprehensive visualization plots
- temperature_prediction_model.pth: Trained model and preprocessing objects
- model_summary_report.txt: This summary report
