{
  "dataset_name": "DNA Mixture Analysis - Unknown Contributor Detection",
  "version": "2.0-optimized",
  "date_updated": "2026-05-08",
  "status": "Production-Ready",
  "key_metrics": {
    "f1_score": 0.7135,
    "f1_score_improvement": "+5.66% from baseline",
    "precision": 0.6262,
    "recall": 0.86,
    "samples_total": 500,
    "samples_rd14": 408,
    "samples_rd12": 92,
    "features": 260
  },
  "optimization": {
    "xgboost_weight": 0.7,
    "catboost_weight": 0.3,
    "decision_threshold": 0.42,
    "improvement_over_baseline": "F1: 0.6753 \u2192 0.7135 (+0.0382)"
  },
  "files_included": {
    "data_files": [
      "combined_enhanced_features.csv",
      "rd14_enhanced_features.csv",
      "rd12_enhanced_features.csv"
    ],
    "cv_results": [
      "cross_validation_results.csv",
      "cv_summary.json"
    ],
    "analysis": [
      "performance_summary.csv",
      "performance_by_fold.csv",
      "data_statistics.json"
    ],
    "models": [
      "inference_pipeline.py",
      "optimal_parameters.json",
      "f1_optimization_strategy.json"
    ],
    "documentation": [
      "EXECUTIVE_SUMMARY.md",
      "TECHNICAL_REPORT.md",
      "OPTIMIZATION_REPORT.md",
      "README.md"
    ]
  },
  "features": [
    "Peak height statistics (count, max, sum, mean, std)",
    "Peak ratio (peak1/peak2)",
    "Allele balance (min/max peaks)",
    "Homozygosity indicator",
    "Peak consistency (coefficient of variation)",
    "Applied across 20+ DNA markers"
  ],
  "model_architecture": {
    "type": "XGBoost + CatBoost Ensemble",
    "ensemble_method": "Weighted voting",
    "training_data": "500 samples (408 RD14 + 92 RD12)",
    "evaluation": "5-fold stratified cross-validation",
    "optimization": "Optuna TPE sampler (50 trials)"
  },
  "use_cases": [
    "Forensic DNA analysis",
    "Unknown contributor detection in DNA mixtures",
    "Case screening and prioritization",
    "Research on mixture deconvolution"
  ]
}