diff --git a/hpobench/benchmarks/ml/tabular_benchmark.py b/hpobench/benchmarks/ml/tabular_benchmark.py
index 72e5fb31..c5525bf5 100644
--- a/hpobench/benchmarks/ml/tabular_benchmark.py
+++ b/hpobench/benchmarks/ml/tabular_benchmark.py
@@ -163,7 +163,7 @@ def _objective(
         metric_str = ', '.join(list(metrics.keys()))
         assert metric in list(metrics.keys()), f"metric not found among: {metric_str}"
         score_key = f"{evaluation}_scores"
-        cost_key = f"{evaluation}_scores"
+        cost_key = f"{evaluation}_costs"
 
         key_path = dict()
         for name in self.configuration_space.get_hyperparameter_names():
diff --git a/hpobench/util/data_manager.py b/hpobench/util/data_manager.py
index a2e33121..479244f9 100644
--- a/hpobench/util/data_manager.py
+++ b/hpobench/util/data_manager.py
@@ -41,6 +41,15 @@
 import hpobench
 
 
+
+tabular_multi_fidelity_urls = dict(
+    xgb="https://figshare.com/ndownloader/files/30469920",
+    svm="https://figshare.com/ndownloader/files/30379359",
+    lr="https://figshare.com/ndownloader/files/30379038",
+    rf="https://figshare.com/ndownloader/files/30469089",
+    nn="https://figshare.com/ndownloader/files/30379005"
+)
+
 class DataManager(abc.ABC, metaclass=abc.ABCMeta):
     """ Base Class for loading and managing the data.
 
@@ -929,21 +938,14 @@ def _load(self) -> Tuple[np.ndarray, np.ndarray, np.ndarray, np.ndarray, np.ndar
 class TabularDataManager(DataManager):
     def __init__(self, model: str, task_id: [int, str], data_dir: [str, Path, None] = None):
         super(TabularDataManager, self).__init__()
+        
+        self.model = model
+        self.task_id = str(task_id)
 
-        url_dict = dict(
-            xgb="https://ndownloader.figshare.com/files/30469920",
-            svm="https://ndownloader.figshare.com/files/30379359",
-            lr="https://ndownloader.figshare.com/files/30379038",
-            rf="https://ndownloader.figshare.com/files/30469089",
-            nn="https://ndownloader.figshare.com/files/30379005"
-        )
-
+        url_dict = tabular_multi_fidelity_urls
         assert model in url_dict.keys(), \
             f'Model has to be one of {list(url_dict.keys())} but was {model}'
 
-        self.model = model
-        self.task_id = str(task_id)
-
         self.url_to_use = url_dict.get(model)
 
         if data_dir is None: