diff --git a/dt-cart/backend/dataset/__init__.py b/dt-cart/backend/dataset/__init__.py
index 1d3330b..4d40140 100644
--- a/dt-cart/backend/dataset/__init__.py
+++ b/dt-cart/backend/dataset/__init__.py
@@ -46,8 +46,9 @@ class Dataset:
         random_state: int,
         is_classification: bool = False,
     ) -> SplittedDataset:
+        target = params.target or data.columns[-1]
         X = data.drop([params.target], axis=1)
-        y = data[[params.target]]
+        y = data[[target]]
         stratify = None if not is_classification else y
         X_train, X_test, y_train, y_test = train_test_split(
             X,
diff --git a/dt-cart/backend/dataset/dto.py b/dt-cart/backend/dataset/dto.py
index 3927bf2..8fe04e2 100644
--- a/dt-cart/backend/dataset/dto.py
+++ b/dt-cart/backend/dataset/dto.py
@@ -8,7 +8,7 @@ class DatasetUploadDto(Schema):
 
 class DatasetDto(Schema):
     input = fields.List(fields.String(), load_default=None)
-    target = fields.String(required=True)
+    target = fields.String(load_default=None)
     sep = fields.String(load_default=",")
     decimal = fields.String(load_default=".")
     train_volume = fields.Float(load_default=0.8, validate=Range(min=0.1, max=0.9))