Update draws, retrain models and generate tips for May 30 + Jun 3 draws

- Added 2026-05-30 and 2026-06-03 draws to AlleLottozahlen.csv (3131 total)
- Retroactive learning for May 30, normal cycle for Jun 3 (44 total cycles)
- Retrained RF + LSTM models on updated dataset
- Generated fresh tips: weekly_lotto_tips_20260605_135532.csv

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

data/AlleLottozahlen.csv

@@ -3128,3 +3128,5 @@ datum;Z1;Z2;Z3;Z4;Z5;Z6;SZ
 2026-05-20;3;14;34;39;46;48;5
 2026-05-23;2;6;8;11;14;39;7
 2026-05-27;16;26;30;41;44;47;1
+2026-05-30;3;10;14;27;41;48;2
+2026-06-03;4;6;24;26;41;44;9

data/generated_tips/generation_history.json

@@ -405,6 +405,27 @@
       "file": "weekly_lotto_tips_20260528_091404.csv",
       "avg_confidence": 0.5624290307583578,
       "avg_quality": 0.6799602036440705
+    },
+    {
+      "timestamp": "2026-05-29T21:02:36.450284",
+      "num_tips": 10,
+      "file": "weekly_lotto_tips_20260529_210236.csv",
+      "avg_confidence": 0.5624290307583578,
+      "avg_quality": 0.6799602036440705
+    },
+    {
+      "timestamp": "2026-06-02T21:05:55.888833",
+      "num_tips": 10,
+      "file": "weekly_lotto_tips_20260602_210555.csv",
+      "avg_confidence": 0.5427251843779513,
+      "avg_quality": 0.6834192936590171
+    },
+    {
+      "timestamp": "2026-06-05T13:55:32.343898",
+      "num_tips": 10,
+      "file": "weekly_lotto_tips_20260605_135532.csv",
+      "avg_confidence": 0.41913314577478744,
+      "avg_quality": 0.5952055408177114
     }
   ]
 }

data/learning_log.json

@@ -623,6 +623,32 @@
         "main": 0.6,
         "sz_rate": 0.0
       }
+    },
+    {
+      "timestamp": "2026-06-05T13:54:00.774367",
+      "draw_date": "2026-05-30",
+      "evaluation": {
+        "main": 0,
+        "sz": 0,
+        "tip": 0
+      },
+      "avg_matches": {
+        "main": 0.0
+      },
+      "note": "retroactive_learning"
+    },
+    {
+      "timestamp": "2026-06-05T13:52:35.298466",
+      "draw_date": "2026-06-03",
+      "evaluation": {
+        "main": 2,
+        "sz": false,
+        "tip": 3
+      },
+      "avg_matches": {
+        "main": 1.2,
+        "sz_rate": 0.0
+      }
     }
   ]
 }

data/ultimate_ml_models/deep_learning/lstm_config_49.json

@@ -1,9 +1,9 @@
 {
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+  "trained_at": "2026-06-05T13:52:35.293902",
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-  "final_val_loss": 0.3735471785068512,
-  "best_val_loss": 0.37320901155471803,
-  "epochs_trained": 30
+  "final_loss": 0.37369607159724605,
+  "final_val_loss": 0.37354615777730943,
+  "best_val_loss": 0.37329686135053636,
+  "epochs_trained": 23
 }

data/ultimate_ml_models/learning_state.json

@@ -1,61 +1,61 @@
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