feat: evaluate stratified by syndrome

paper2_festung_teil3.py

@@ -97,6 +97,25 @@ def auc_fast(preds):
         ties+=(k-j)
     return (conc+0.5*ties)/(len(pos)*len(neg))
 
+def auc_fast_gal(gal_preds):
+    """Pooled within-stratum concordance (Σ_g conc_g) / (Σ_g n_pos_g·n_neg_g).
+    Equivalent to a pair-weighted average of per-galaxy AUCs."""
+    if not gal_preds: return 0.5
+    conc = 0; ties = 0; pairs = 0
+    for _, preds in gal_preds.items():
+        pos = sorted(p["p"] for p in preds if p["a"] == 1)
+        neg = sorted(p["p"] for p in preds if p["a"] == 0)
+        if not pos or not neg: continue
+        pairs += len(pos) * len(neg)
+        j = 0
+        for pv in pos:
+            while j < len(neg) and neg[j] < pv: j += 1
+            conc += j; k = j
+            while k < len(neg) and neg[k] == pv: k += 1
+            ties += (k - j)
+    if pairs == 0: return 0.5
+    return (conc + 0.5 * ties) / pairs
+
 def compute_centroid(pts):
     s=defaultdict(float);c=defaultdict(int)
     for p in pts:
@@ -278,7 +297,9 @@ def main():
     print(f"  1: Calibration  2: Fair Comparison  3: Summary")
     print(f"{'='*76}\n")
 
-    all_pts=load_all_icu();assign_galaxies(all_pts)
+    all_pts=load_all_icu();
+    all_pts = [p for p in all_pts if p.get("saps_prob") is not None]
+    assign_galaxies(all_pts)
     by_gal=defaultdict(list)
     for p in all_pts:
         if p["galaxy"]: by_gal[p["galaxy"]].append(p)
@@ -293,10 +314,33 @@ def main():
     results = {}
 
     # ── Full pop LOO ───────────────────────────────────────────────
-    print(f"\n  Running full-population LOO...")
+    print(f"\n  Running s-population LOO...")
     p_full = run_loo(all_pts, all_pts, therapy_hids, by_gal, "FULL-POP")
     a_td = auc_fast(p_full)
-    print(f"  * TD full pop: AUC {a_td:.4f}  n={len(p_full):,}")
+    print(f"  * TD s-pop: AUC {a_td:.4f}  n={len(p_full):,}")
+
+    # SAPS score for comparison
+    saps_preds_all = [{"a": p["died"], "p": p["saps_prob"]}
+                      for p in all_pts if p.get("saps_prob") is not None]
+    a_td_s = auc_fast(saps_preds_all)
+    print(f"  * SAPS-II s-pop: AUC {a_td_s:.4f}  n={len(saps_preds_all):,}")
+
+    saps_preds_by_gal = {
+        gal: [{"a": p["died"], "p": p["saps_prob"]}
+              for p in gal_pts if p.get("saps_prob") is not None]
+        for gal, gal_pts in by_gal.items()
+    }
+    a_td_sg = auc_fast_gal(saps_preds_by_gal)
+    ns = str([len(gal_pts) for (gal, gal_pts) in saps_preds_by_gal.items()])
+    print(f"  * SAPS-II by gal: AUC {a_td_sg:.4f}  n={ns}")
+
+    td_preds_by_gal = defaultdict(list)
+    for pred in p_full:
+        if pred.get("g"):
+            td_preds_by_gal[pred["g"]].append({"a": pred["a"], "p": pred["p"]})
+    a_td_g = auc_fast_gal(dict(td_preds_by_gal))
+    ns = str([len(gal_pts) for (gal, gal_pts) in td_preds_by_gal.items()])
+    print(f"  * TD by gal:      AUC {a_td_g:.4f}  n={ns}")
 
     # ══════════════════════════════════════════════════════════════
     # 1. CALIBRATION (10 Dezile)