Update cancer.py

cancer.py

@@ -33,12 +33,12 @@ def preprocess_data(df):
         ]), categorical_features)
     ], remainder='passthrough')
 
-    X = df.drop('Cancer_Present', axis=1)  # Drop target column
+    x = df.drop('Cancer_Present', axis=1)  # Drop target column
     y = df['Cancer_Present']  # Target column
-    return train_test_split(X, y, test_size=0.2, random_state=23), preprocess
+    return train_test_split(x, y, test_size=0.2, random_state=23), preprocess
 
 # Train Model
-def train_model(X_train, y_train, preprocess, model_name):
+def train_model(x_train, y_train, preprocess, model_name):
     models = {
         'Decision Tree': DecisionTreeClassifier(),
         'Logistic Regression': LogisticRegression(),