A15v2 VanillaLSTM W1-test R²=0.8071 W2-verify R²=-2.2445

model_metadata_nuaa_v15b.json

@@ -1,8 +1,8 @@
 {
   "version": "v15b",
   "sprint": "A15",
-  "trained_at": "2026-04-01T19:19:06.990783+00:00",
-  "architecture": "StackLSTM",
+  "trained_at": "2026-04-01T19:50:03.755079+00:00",
+  "architecture": "VanillaLSTM",
   "paper_ref": "Sayyad et al., Sensors 2023, 23, 5659",
   "paper_protocol": "WPT db4 level=1, RF selection >0.5, 70/30 within W1",
   "dataset": "NUAA Ideahouse (IEEE DataPort DOI:10.21227/3aa1-5e83)",
@@ -11,67 +11,95 @@
   "verify_case": "W2 (18 runs, cross-case)",
   "signal_normalization": "z-score before WPT (paper protocol)",
   "n_wpt_features": 128,
-  "n_selected_features": 39,
+  "n_selected_features": 67,
   "rf_selected_cols": [
-    "f061",
-    "f057",
+    "f000",
+    "f038",
     "f058",
-    "f101",
+    "f064",
+    "f039",
+    "f061",
+    "f005",
+    "f094",
     "f045",
-    "f096",
-    "f000",
     "f042",
+    "f057",
+    "f078",
+    "f095",
+    "f059",
     "f046",
-    "f016",
     "f041",
     "f052",
-    "f005",
-    "f021",
-    "f039",
-    "f064",
-    "f038",
-    "f062",
-    "f049",
-    "f050",
-    "f079",
-    "f047",
-    "f053",
-    "f037",
+    "f054",
+    "f075",
+    "f091",
+    "f067",
     "f055",
+    "f037",
+    "f043",
     "f080",
+    "f053",
+    "f079",
+    "f069",
+    "f035",
+    "f016",
+    "f047",
+    "f049",
+    "f083",
+    "f050",
+    "f025",
     "f048",
-    "f094",
+    "f093",
+    "f062",
     "f033",
-    "f078",
-    "f054",
-    "f091",
-    "f095",
+    "f089",
+    "f096",
     "f034",
-    "f117",
-    "f063",
+    "f090",
+    "f036",
     "f032",
-    "f075",
-    "f036"
+    "f074",
+    "f026",
+    "f029",
+    "f066",
+    "f021",
+    "f070",
+    "f065",
+    "f030",
+    "f101",
+    "f073",
+    "f018",
+    "f017",
+    "f077",
+    "f051",
+    "f071",
+    "f001",
+    "f002",
+    "f085",
+    "f044",
+    "f031",
+    "f063",
+    "f082"
   ],
   "rf_importance_threshold": 0.5,
   "seq_len": 20,
-  "total_ref_sec": 3505.35,
+  "total_ref_sec": 3523.45,
   "w1_test": {
-    "r2": -33.4312,
-    "rmse": 0.5002,
-    "mape": 1267.451,
-    "nrmse": 1.6953,
-    "rmse_sec": 1753.34
+    "r2": 0.8071,
+    "rmse": 0.1265,
+    "mape": 41.529,
+    "nrmse": 0.1268,
+    "rmse_sec": 445.62
   },
   "w2_verify": {
-    "r2": -6.9289,
-    "rmse": 0.4175,
-    "mape": 718.549,
-    "nrmse": 0.8132,
-    "rmse_sec": 1463.58
+    "r2": -2.2445,
+    "rmse": 0.2729,
+    "mape": 762.922,
+    "nrmse": 0.5202,
+    "rmse_sec": 961.53
   },
   "r2_benchmark": 0.967,
-  "badge": "ESTIMATED",
+  "badge": "PARTIAL",
   "onnx_path": "tft_weights_v15b_cnc_nuaa.onnx",
   "best_pt": "nuaa_best_v15b.pt",
   "feat_mean_path": "nuaa_feat_mean_v15b.npy",
@@ -87,5 +115,5 @@
     "spindle_power",
     "spindle_current"
   ],
-  "note": "StackLSTM trained from scratch on NUAA WPT features. Paper-exact: signal z-score before WPT, RF selection >0.5, 70/30 split within W1. TFT frozen/unfrozen both failed (R\u00b2=-12.85/-13.87 \u2014 CMAPSS domain mismatch)."
+  "note": "VanillaLSTM trained from scratch on NUAA WPT features. Paper-exact: signal z-score before WPT, RF selection >0.5, 70/30 split within W1. TFT frozen/unfrozen both failed (R\u00b2=-12.85/-13.87 \u2014 CMAPSS domain mismatch)."
 }