Update draws, retrain models and generate tips for Jun 2 draw

- Added 2026-06-02 draw to AlleEurojackpotzahlen.csv (957 total)
- Learning cycle for Jun 2 completed (45 total cycles)
- Retrained RF + LSTM models on updated dataset
- Generated fresh tips: weekly_tips_20260605_135452.csv

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

data/AlleEurojackpotzahlen.csv

@@ -954,3 +954,5 @@ datum;Z1;Z2;Z3;Z4;Z5;SZ1;SZ2
 2026-05-19;10;36;37;39;47;5;6
 2026-05-22;5;34;35;42;46;3;5
 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

data/eurojackpot_ml_models/deep_learning_euro/lstm_config_12.json

@@ -1,9 +1,9 @@
 {
-  "trained_at": "2026-05-28T09:13:40.676218",
+  "trained_at": "2026-06-05T13:51:30.129814",
-  "num_samples": 935,
+  "num_samples": 937,
   "num_features": 20,
-  "final_loss": 0.3379375835259755,
+  "final_loss": 0.33312274888157845,
-  "final_val_loss": 0.32764050861199695,
+  "final_val_loss": 0.3261002004146576,
-  "best_val_loss": 0.32431263228257495,
+  "best_val_loss": 0.32549452284971875,
-  "epochs_trained": 22
+  "epochs_trained": 23
 }

data/eurojackpot_ml_models/deep_learning_main/lstm_config_50.json

@@ -1,9 +1,9 @@
 {
-  "trained_at": "2026-05-28T09:13:33.008205",
+  "trained_at": "2026-06-05T13:51:23.273973",
-  "num_samples": 935,
+  "num_samples": 937,
   "num_features": 20,
-  "final_loss": 0.3324982014795144,
+  "final_loss": 0.32860875378052395,
-  "final_val_loss": 0.32942695915699005,
+  "final_val_loss": 0.3294985145330429,
-  "best_val_loss": 0.32826374967892963,
+  "best_val_loss": 0.3283491830031077,
-  "epochs_trained": 21
+  "epochs_trained": 30
 }

data/eurojackpot_ml_models/learning_state.json

@@ -1,78 +1,78 @@
 {
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   "adjustments_euro": {
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   "stats": {
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+    "incorrect_main": 1980,
-    "correct_main": 210,
+    "correct_main": 220,
-    "incorrect_euro": 420,
+    "incorrect_euro": 440,
-    "correct_euro": 84,
+    "correct_euro": 88,
-    "cycles": 42,
+    "cycles": 44,
-    "last_update": "2026-05-28T09:12:56.352841"
+    "last_update": "2026-06-05T13:51:30.133745"
   },
   "learning_rate": 0.1,
-  "last_saved": "2026-05-28T09:12:56.352882"
+  "last_saved": "2026-06-05T13:51:30.133804"
 }

data/generated_tips/generation_history.json

@@ -419,6 +419,34 @@
       "file": "weekly_tips_20260528_091341.csv",
       "avg_confidence": 0.5085910996509726,
       "avg_quality": 0.6122512647691146
+    },
+    {
+      "timestamp": "2026-06-01T21:00:16.011480",
+      "num_tips": 10,
+      "file": "weekly_tips_20260601_210016.csv",
+      "avg_confidence": 0.4956168308382781,
+      "avg_quality": 0.6035257642346744
+    },
+    {
+      "timestamp": "2026-06-04T21:12:38.609772",
+      "num_tips": 10,
+      "file": "weekly_tips_20260604_211238.csv",
+      "avg_confidence": 0.4956168308382781,
+      "avg_quality": 0.6035257642346744
+    },
+    {
+      "timestamp": "2026-06-05T13:54:52.755967",
+      "num_tips": 10,
+      "file": "weekly_tips_20260605_135452.csv",
+      "avg_confidence": 0.5196261536038669,
+      "avg_quality": 0.6320838299790094
+    },
+    {
+      "timestamp": "2026-06-05T13:55:04.844298",
+      "num_tips": 10,
+      "file": "weekly_tips_20260605_135504.csv",
+      "avg_confidence": 0.5196261536038669,
+      "avg_quality": 0.6320838299790094
     }
   ]
 }

data/learning_log.json

@@ -571,6 +571,32 @@
         "main": 1.2,
         "euro": 0.0
       }
+    },
+    {
+      "timestamp": "2026-05-30T08:10:36.605171",
+      "draw_date": "2026-05-29",
+      "evaluation": {
+        "main": 1,
+        "euro": 1,
+        "tip": 6
+      },
+      "avg_matches": {
+        "main": 0.4,
+        "euro": 0.4
+      }
+    },
+    {
+      "timestamp": "2026-06-05T13:51:30.134827",
+      "draw_date": "2026-06-02",
+      "evaluation": {
+        "main": 2,
+        "euro": 2,
+        "tip": 6
+      },
+      "avg_matches": {
+        "main": 0.5,
+        "euro": 0.3
+      }
     }
   ]
 }