Update app.py

app.py

@@ -103,6 +103,8 @@ def prediction():
         xtrain, xtest, ytrain, ytest = train_test_split(x_new, y_new, test_size =.30, random_state = 0)
         #xtrain.shape, xtest.shape, ytrain.shape, ytest.shape
 
+        st.write(xtrain.shape)
+
 
         from sklearn.preprocessing import StandardScaler
 
@@ -162,7 +164,7 @@ def prediction():
         
         report_data = np.array([ Gender ,  Age ,  Driving_License ,  Region_Code ,  Previously_Insured , Vehicle_Age ,  
                                 Vehicle_Damage ,  Annual_Premium , Policy_Sales_Channel ,  Vintage ], ndmin=2)
-        #st.write(report_data)
+        st.write(report_data.shape)
         
     #user_data = np.array(['gender','age','license','regioncode','is_previously_insured','vechile_age','is_your_vechile_damaged','annual_premium','policy_sales_channel','number_of_days_company',ndim=2])
         scaler = StandardScaler()