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rf_gaia_2mass_ir_20251103_141119_metadata.json

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+{
+  "model_id": "rf_gaia_2mass_ir_20251103_141119",
+  "timestamp": "20251103_141119",
+  "model_name": "Gaia + 2MASS IR",
+  "description": "Temperature prediction using Gaia optical and 2MASS infrared photometry",
+  "model_type": "RandomForestRegressor",
+  "n_features": 5,
+  "features": [
+    "phot_g_mean_mag",
+    "bp_rp",
+    "j_h_color",
+    "h_k_color",
+    "j_k_color"
+  ],
+  "data_source": "gaia_2mass_ir_train.parquet",
+  "target": "teff_gspphot",
+  "train_metrics": {
+    "mae": 466.3848224965843,
+    "rmse": 761.6802111914476,
+    "r2": 0.7468184080404487,
+    "mean_relative_error": 7.75831024412814,
+    "within_5_percent": 45.870779750213096,
+    "within_10_percent": 73.05849979616795,
+    "within_20_percent": 92.91313048956751,
+    "n_samples": 431728
+  },
+  "test_metrics": {
+    "mae": 588.8477953125182,
+    "rmse": 965.4933618203581,
+    "r2": 0.5930834905512652,
+    "mean_relative_error": 9.758310497789818,
+    "within_5_percent": 38.448282251788164,
+    "within_10_percent": 64.79172071304154,
+    "within_20_percent": 88.06100137123374,
+    "n_samples": 107932
+  },
+  "hyperparameters": {
+    "n_estimators": 300,
+    "max_depth": 20,
+    "min_samples_split": 5,
+    "min_samples_leaf": 4,
+    "max_features": "log2",
+    "random_state": 42,
+    "n_jobs": -1,
+    "verbose": 0
+  },
+  "config_file": "config/models/gaia_2mass_ir.yaml"
+}