Update latest metadata (20260123-133858)

latest/meta.json

@@ -1,7 +1,7 @@
 {
   "framework": "ExplainML Studio",
   "model": "Logistic Regression",
-  "created_at_utc": "2026-01-23T12:07:08.199443",
+  "created_at_utc": "2026-01-23T13:37:30.028739",
   "schema": {
     "features": [
       "Age (years) ",
@@ -116,13 +116,13 @@
     "use_dimred": false,
     "svd_components": null,
     "use_feature_selection": true,
-    "l1_C": 0.01,
-    "selection_method": "SelectFromModel(L1 saga, threshold=mean)",
+    "l1_C": 1.0,
+    "selection_method": "SelectFromModel(L1 saga, threshold=median)",
     "note": "If SVD is enabled, SHAP becomes component-level (less interpretable)."
   },
   "positive_class": "YES",
   "metrics": {
-    "roc_auc": 0.9733333333333334,
+    "roc_auc": 0.96,
     "n_train": 79,
     "n_test": 20,
     "threshold@0.5": 0.5,
@@ -139,6 +139,22 @@
       "fn": 2,
       "tp": 3
     },
+    "best_threshold_by": "f1",
+    "best_threshold": 0.38999999999999996,
+    "best_f1": 0.9090909090909091,
+    "accuracy@best": 0.95,
+    "balanced_accuracy@best": 0.9666666666666667,
+    "precision@best": 0.8333333333333334,
+    "recall@best": 1.0,
+    "f1@best": 0.9090909090909091,
+    "sensitivity@best": 1.0,
+    "specificity@best": 0.9333333333333333,
+    "confusion_matrix@best": {
+      "tn": 14,
+      "fp": 1,
+      "fn": 0,
+      "tp": 5
+    },
     "roc_curve": {
       "fpr": [
         0.0,
@@ -151,22 +167,22 @@
       "tpr": [
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-        0.6,
+        0.4,
+        0.4,
         1.0,
         1.0
       ],
       "thresholds": [
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     },
     "pr_curve": {
-      "average_precision": 0.9266666666666665,
+      "average_precision": 0.8766666666666667,
       "precision": [
         0.25,
         0.2631578947368421,
@@ -185,7 +201,7 @@
         0.8333333333333334,
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@@ -208,32 +224,32 @@
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     },
     "calibration": {
@@ -248,14 +264,14 @@
         0.75
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       "prob_pred": [
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-      "brier": 0.09410148415752227
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     "decision_curve": {
       "thresholds": [
@@ -287,16 +303,16 @@
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       "net_benefit_model": [
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@@ -304,12 +320,12 @@
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