{
  "best_model": "lstm_mlp",
  "metrics": {
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      "mse": 0.3597,
      "rmse": 0.5997,
      "mae": 0.4735
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    "xgboost": {
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    "random_forest": {
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      "rmse": 1.0785,
      "mae": 0.7921
    },
    "extra_trees": {
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      "mse": 1.1976,
      "rmse": 1.0943,
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    }
  },
  "lstm_prediction_summary": {
    "prediction_count": 2400,
    "residual_mean": -0.0498,
    "residual_std": 0.5976,
    "risk_accuracy": 0.8562
  },
  "feature_importance_model": "xgboost",
  "generated_files": [
    "01_模型性能对比.png",
    "02_LSTM真实值_vs_预测值.png",
    "03_LSTM残差分析.png",
    "04_LSTM风险等级混淆矩阵.png",
    "05_特征重要性_Top15.png",
    "lstm_predictions.csv"
  ]
}