Update app.py

app.py

@@ -109,8 +109,8 @@ def prediction():
         from sklearn.preprocessing import StandardScaler
 
         scaler = StandardScaler()
-        xtrain = scaler.fit_transform(xtrain)
-        xtest = scaler.transform(xtest)
+        #xtrain = scaler.fit_transform(xtrain)
+        #xtest = scaler.transform(xtest)
 
 
         from xgboost import XGBClassifier
@@ -174,7 +174,8 @@ def prediction():
         #                        Vehicle_Damage ,  Annual_Premium , Policy_Sales_Channel ,  Vintage ])
         #X_test = oneh.transform(report_data[ Gender ,  Age ,  Driving_License ,  Region_Code ,  Previously_Insured , Vehicle_Age ,  
          #                       Vehicle_Damage ,  Annual_Premium , Policy_Sales_Channel ,  Vintage ])
-        xtrain = scaler.fit_transform(xtrain)    
+        xtrain = scaler.fit_transform(xtrain)  
+        st,write(xtrain.shape)
         report_data=scaler.transform(report_data)
         response = model_xgb.predict(report_data)
         if response==1: