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demo_results.json

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+{
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+        "score": 0.0,
+        "is_anomaly": false,
+        "confidence": 0.0
+      },
+      {
+        "score": 0.0,
+        "is_anomaly": false,
+        "confidence": 0.0
+      },
+      {
+        "score": 21.3186,
+        "is_anomaly": true,
+        "confidence": 1.0
+      },
+      {
+        "score": 164.9673,
+        "is_anomaly": true,
+        "confidence": 1.0
+      },
+      {
+        "score": 88.19,
+        "is_anomaly": true,
+        "confidence": 1.0
+      },
+      {
+        "score": 4505.8403,
+        "is_anomaly": true,
+        "confidence": 1.0
+      }
+    ],
+    "elapsed_seconds": 0.14,
+    "grid_size": 32
+  },
+  "process_health": {
+    "scenario": "Application Process Health Monitoring",
+    "description": "JVM/container metrics: memory leaks, GC storms, thread explosions, application crashes, subtle degradation",
+    "training_count": 20,
+    "test_labels": [
+      "Healthy snapshot 1",
+      "Healthy snapshot 2",
+      "Healthy snapshot 3",
+      "Memory leak + GC storm",
+      "Thread explosion",
+      "Application dying",
+      "Subtle degradation"
+    ],
+    "expected_anomaly": [
+      false,
+      false,
+      false,
+      true,
+      true,
+      true,
+      true
+    ],
+    "results": [
+      {
+        "score": 0.0,
+        "is_anomaly": false,
+        "confidence": 0.0
+      },
+      {
+        "score": 0.0,
+        "is_anomaly": false,
+        "confidence": 0.0
+      },
+      {
+        "score": 2.9417,
+        "is_anomaly": true,
+        "confidence": 0.0069
+      },
+      {
+        "score": 3.0548,
+        "is_anomaly": true,
+        "confidence": 0.009
+      },
+      {
+        "score": 131.938,
+        "is_anomaly": true,
+        "confidence": 1.0
+      },
+      {
+        "score": 391.8965,
+        "is_anomaly": true,
+        "confidence": 1.0
+      },
+      {
+        "score": 125.0241,
+        "is_anomaly": true,
+        "confidence": 1.0
+      }
+    ],
+    "elapsed_seconds": 0.17,
+    "grid_size": 32
+  },
+  "network": {
+    "scenario": "Network Intrusion Detection",
+    "description": "Network traffic analysis: SYN floods, port scanning, data exfiltration, network failures",
+    "training_count": 15,
+    "test_labels": [
+      "Normal traffic 1",
+      "Normal traffic 2",
+      "Normal traffic 3",
+      "SYN flood attack",
+      "Port scan + data exfiltration",
+      "Network near-death"
+    ],
+    "expected_anomaly": [
+      false,
+      false,
+      false,
+      true,
+      true,
+      true
+    ],
+    "results": [
+      {
+        "score": 2.2581,
+        "is_anomaly": true,
+        "confidence": 0.0065
+      },
+      {
+        "score": 0.0,
+        "is_anomaly": false,
+        "confidence": 0.0
+      },
+      {
+        "score": 0.8419,
+        "is_anomaly": true,
+        "confidence": 0.0001
+      },
+      {
+        "score": 3.3102,
+        "is_anomaly": true,
+        "confidence": 0.0499
+      },
+      {
+        "score": 4.3548,
+        "is_anomaly": true,
+        "confidence": 0.19
+      },
+      {
+        "score": 1328.2242,
+        "is_anomaly": true,
+        "confidence": 1.0
+      }
+    ],
+    "elapsed_seconds": 0.14,
+    "grid_size": 32,
+    "note": "Network detection may have higher false positive rate due to feature variance. Tune sensitivity per deployment."
+  }
+}