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║                    BASELINE MODEL TRAINING REPORT                     ║
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TRAINING CONFIGURATION
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Timestamp:              20251122_105216
Model Type:             Baseline 1D CNN
Input Shape:            (5000, 1)
Number of Classes:      1493
Total Parameters:       682,485

DATA SPLITS
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Train Set:              236 windows from 42 patients
Validation Set:         69 windows from 14 patients
Test Set:               98 windows from 14 patients
Total:                  403 windows

TRAINING RESULTS
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Total Epochs Trained:   15
Final Train Loss:       2.978646
Final Train Accuracy:   0.1398
Final Val Loss:         4.385765
Final Val Accuracy:     0.2754

TEST SET PERFORMANCE
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Test Accuracy:          0.2041

ARTIFACTS SAVED
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Model (HDF5):           /content/drive/MyDrive/DeepLearningECG/artifacts/training_results/baseline_model_20251122_105216.h5
Model (Keras):          /content/drive/MyDrive/DeepLearningECG/artifacts/training_results/baseline_model_20251122_105216.keras
Results JSON:           /content/drive/MyDrive/DeepLearningECG/artifacts/training_results/training_results_20251122_105216.json
Predictions (NPZ):      /content/drive/MyDrive/DeepLearningECG/artifacts/training_results/test_predictions_20251122_105216.npz
Training History:       /content/drive/MyDrive/DeepLearningECG/artifacts/training_results/training_history_20251122_105216.json
Confusion Matrix Plot:  /content/drive/MyDrive/DeepLearningECG/artifacts/training_results/confusion_matrix_20251122_105216.png
Training History Plot:  /content/drive/MyDrive/DeepLearningECG/artifacts/training_results/training_history_20251122_105216.png
Summary Report:         /content/drive/MyDrive/DeepLearningECG/artifacts/training_results/summary_report_20251122_105216.txt

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Report generated: 2025-11-22 10:57:58