fix(Ensembling): stacking now works (although performance is poor)

config/preprocess.py

@@ -59,7 +59,7 @@ def __preprocess_model_config(model_config: dict) -> dict:
                 StackingClassifier(
                     [(m.name, m) for m in estimators],
                     final_estimator=estimators[0],
-                    cv=TimeSeriesSplit(gap=100),
+                    cv=5,
                 )
             )
         else:

models/model_map.py

@@ -98,7 +98,7 @@ def get_model(model_name: str) -> Model:
                         "validation_type": "split",
                         "train_ratio": 0.75,
                         "shuffle": False,
-                        "stratify": True
+                        "stratify": True,
                     },
                     eval_metric="f1",
                 )