zcta_features_lightgbm_gpu_reg_metadata.json

{
  "model_type": "LGBMRegressor",
  "training_metrics": {
    "r2": 0.9933932362160545,
    "mse": 0.00025389514099849084,
    "rmse": 0.01593408739145392,
    "y_pred": "[0.27489202 0.43708017 0.70934149 ... 0.46906955 0.41413552 0.40539368]"
  },
  "training_time": 1.042459487915039,
  "feature_names": "['poverty_trend_slope' 'poverty_volatility'\n 'poverty_coefficient_variation' 'poverty_acceleration'\n 'poverty_recent_momentum' 'poverty_skewness' 'poverty_kurtosis'\n 'poverty_change_point_strength' 'poverty_min' 'poverty_max' 'latitude'\n 'longitude' 'urbanity_score' 'embedding_cluster_distance'\n 'poverty_risk_2022_x_urbanity_score'\n 'poverty_risk_2022_ratio_urbanity_score' 'population' 'log_population'\n 'sqrt_population' 'cbrt_population' 'population_density_proxy'\n 'poverty_risk_2022_x_log_population' 'pca_embedding_0' 'pca_embedding_1'\n 'pca_embedding_2' 'pca_embedding_3' 'pca_embedding_4' 'pca_embedding_5'\n 'pca_embedding_6' 'pca_embedding_7' 'pca_embedding_8' 'pca_embedding_9'\n '2011' '2012' '2013' '2014' '2015' '2016' '2017' '2018' '2019' '2020'\n '2021' '2022' 'feature0' 'feature1' 'feature2' 'feature3' 'feature4'\n 'feature5']",
  "model_params": {
    "boosting_type": "gbdt",
    "class_weight": null,
    "colsample_bytree": 1.0,
    "importance_type": "split",
    "learning_rate": 0.1,
    "max_depth": 6,
    "min_child_samples": 20,
    "min_child_weight": 0.001,
    "min_split_gain": 0.0,
    "n_estimators": 200,
    "n_jobs": null,
    "num_leaves": 31,
    "objective": null,
    "random_state": 42,
    "reg_alpha": 0.0,
    "reg_lambda": 0.0,
    "subsample": 1.0,
    "subsample_for_bin": 200000,
    "subsample_freq": 0,
    "device": "gpu",
    "gpu_platform_id": 0,
    "gpu_device_id": 0,
    "verbosity": -1
  },
  "created_at": "2025-07-24T22:51:00.955700",
  "gpu_trained": true
}