Hesaplama hatası düzeltildi

app.py

@@ -1,5 +1,5 @@
 # Author: Hanife Kaptan
-# Versions: python==3.11.2, xgboost==2.1.1, streamlit==1.36.0, scikit-learn==1.4.2, pandas==2.0.2
+# Versions: python==3.11.2, xgboost==2.1.1, streamlit==1.36.0, scikit-learn==1.4.2, pandas==2.2.3
 
 import pandas as pd
 from sklearn.compose import ColumnTransformer
@@ -14,7 +14,7 @@ X = df.drop("lung_cancer", axis=1)
 y = df["lung_cancer"]
 
 preprocess = ColumnTransformer(
-    transformers = [("cat", OneHotEncoder(), ["gender"]), ("num", (StandardScaler()), ["age"])]
+    transformers = [("cat", OneHotEncoder(), ["gender"]), ("num", (StandardScaler()), ["age"])], remainder = "passthrough"
 )
 
 my_model = XGBClassifier()