Update draws, retrain models and generate tips for May 20-27 draws

- Added 3 missing draws (2026-05-20, 2026-05-24, 2026-05-27) to AlleLottozahlen.csv
- Retrained RF and LSTM models on 3,129 draws (42 learning cycles)
- Generated fresh tips: weekly_lotto_tips_20260528_091404.csv

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

data/AlleLottozahlen.csv

@@ -3125,3 +3125,6 @@ datum;Z1;Z2;Z3;Z4;Z5;Z6;SZ
 2026-05-09;2;3;12;36;39;43;8
 2026-05-13;13;15;20;26;31;43;7
 2026-05-16;7;11;20;23;27;30;9
+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

data/generated_tips/generation_history.json

@@ -398,6 +398,13 @@
       "file": "weekly_lotto_tips_20260519_134500.csv",
       "avg_confidence": 0.3999027555100958,
       "avg_quality": 0.5826823762260946
+    },
+    {
+      "timestamp": "2026-05-28T09:14:04.565888",
+      "num_tips": 10,
+      "file": "weekly_lotto_tips_20260528_091404.csv",
+      "avg_confidence": 0.5624290307583578,
+      "avg_quality": 0.6799602036440705
     }
   ]
 }

data/learning_log.json

@@ -601,6 +601,28 @@
         "main": 0.9,
         "sz_rate": 0.0
       }
+    },
+    {
+      "timestamp": "2026-05-28T09:05:31.211062",
+      "draw_date": "2026-05-26",
+      "evaluation": {},
+      "avg_matches": {
+        "main": 0,
+        "euro": 0
+      }
+    },
+    {
+      "timestamp": "2026-05-28T09:07:10.765230",
+      "draw_date": "2026-05-27",
+      "evaluation": {
+        "main": 1,
+        "sz": false,
+        "tip": 2
+      },
+      "avg_matches": {
+        "main": 0.6,
+        "sz_rate": 0.0
+      }
     }
   ]
 }

data/ultimate_ml_models/deep_learning/lstm_config_49.json

@@ -1,9 +1,9 @@
 {
-  "trained_at": "2026-05-19T13:38:48.020013",
+  "trained_at": "2026-05-28T09:07:10.759814",
-  "num_samples": 3106,
+  "num_samples": 3109,
   "num_features": 20,
-  "final_loss": 0.3725810773097552,
+  "final_loss": 0.3726770526323563,
-  "final_val_loss": 0.3736688941717148,
+  "final_val_loss": 0.3735471785068512,
-  "best_val_loss": 0.373528328537941,
+  "best_val_loss": 0.37320901155471803,
   "epochs_trained": 30
 }

data/ultimate_ml_models/learning_state.json

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