Update draws, retrain models and generate tips for Jun 5 + Jun 9 draws

- Added 2026-06-05 (via web scraper fallback) and 2026-06-09 draws (959 total)
- Retroactive learning for Jun 5, normal cycle for Jun 9 (46 total cycles)
- Retrained RF + LSTM models on updated dataset
- Generated fresh tips: weekly_tips_20260610_123037.csv

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

data/AlleEurojackpotzahlen.csv

@@ -956,3 +956,5 @@ datum;Z1;Z2;Z3;Z4;Z5;SZ1;SZ2
 2026-05-26;5;11;23;33;42;10;12
 2026-05-29;3;20;21;42;49;5;6
 2026-06-02;2;36;38;40;46;7;8
+2026-06-05;21;23;44;47;50;1;7
+2026-06-09;1;14;22;39;48;8;11

data/eurojackpot_ml_models/deep_learning_euro/lstm_config_12.json

@@ -1,9 +1,9 @@
 {
-  "trained_at": "2026-06-05T13:51:30.129814",
+  "trained_at": "2026-06-10T12:30:36.402570",
-  "num_samples": 937,
+  "num_samples": 939,
   "num_features": 20,
-  "final_loss": 0.33312274888157845,
+  "final_loss": 0.3324270670612653,
-  "final_val_loss": 0.3261002004146576,
+  "final_val_loss": 0.3274357219537099,
-  "best_val_loss": 0.32549452284971875,
+  "best_val_loss": 0.32425981760025024,
   "epochs_trained": 23
 }

data/eurojackpot_ml_models/deep_learning_main/lstm_config_50.json

@@ -1,9 +1,9 @@
 {
-  "trained_at": "2026-06-05T13:51:23.273973",
+  "trained_at": "2026-06-10T12:30:28.902406",
-  "num_samples": 937,
+  "num_samples": 939,
   "num_features": 20,
-  "final_loss": 0.32860875378052395,
+  "final_loss": 0.33133769407868385,
-  "final_val_loss": 0.3294985145330429,
+  "final_val_loss": 0.3294614652792613,
-  "best_val_loss": 0.3283491830031077,
+  "best_val_loss": 0.3283757468064626,
-  "epochs_trained": 30
+  "epochs_trained": 21
 }

data/eurojackpot_ml_models/learning_state.json

@@ -1,78 +1,78 @@
 {
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   "adjustments_euro": {
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   "stats": {
-    "incorrect_main": 1980,
+    "incorrect_main": 2070,
-    "correct_main": 220,
+    "correct_main": 230,
-    "incorrect_euro": 440,
+    "incorrect_euro": 460,
-    "correct_euro": 88,
+    "correct_euro": 92,
-    "cycles": 44,
+    "cycles": 46,
-    "last_update": "2026-06-05T13:51:30.133745"
+    "last_update": "2026-06-10T12:30:00.265551"
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   "learning_rate": 0.1,
-  "last_saved": "2026-06-05T13:51:30.133804"
+  "last_saved": "2026-06-10T12:30:00.265592"
 }

data/generated_tips/generation_history.json

@@ -447,6 +447,20 @@
       "file": "weekly_tips_20260605_135504.csv",
       "avg_confidence": 0.5196261536038669,
       "avg_quality": 0.6320838299790094
+    },
+    {
+      "timestamp": "2026-06-08T21:00:15.199720",
+      "num_tips": 10,
+      "file": "weekly_tips_20260608_210015.csv",
+      "avg_confidence": 0.5196261536038669,
+      "avg_quality": 0.6320838299790094
+    },
+    {
+      "timestamp": "2026-06-10T12:30:37.267533",
+      "num_tips": 10,
+      "file": "weekly_tips_20260610_123037.csv",
+      "avg_confidence": 0.48925897711447985,
+      "avg_quality": 0.6018162578186794
     }
   ]
 }

data/learning_log.json

@@ -597,6 +597,33 @@
         "main": 0.5,
         "euro": 0.3
       }
+    },
+    {
+      "timestamp": "2026-06-10T12:30:00.265971",
+      "draw_date": "2026-06-05",
+      "evaluation": {
+        "main": 0,
+        "euro": 0,
+        "tip": 0
+      },
+      "avg_matches": {
+        "main": 0.0,
+        "euro": 0.0
+      },
+      "note": "retroactive_learning"
+    },
+    {
+      "timestamp": "2026-06-10T12:27:38.385628",
+      "draw_date": "2026-06-09",
+      "evaluation": {
+        "main": 1,
+        "euro": 2,
+        "tip": 1
+      },
+      "avg_matches": {
+        "main": 0.4,
+        "euro": 1.0
+      }
     }
   ]
 }